Computer Science | UCD Research.

Book

Dr Brett Becker
Becker, B., & Quille, K. (2020). Computer Science for Leaving Certificate. Dublin, Ireland: Golden Key Educational Publishing. Retrieved from https://goldenkey.ie/computer-science-for-leaving-cert/
Assoc Professor Chris Bleakley
Bleakley, C. (2020). Poems That Solve Puzzles: The History and Science of Algorithms.
Assoc Professor Pavel Gladyshev
Goel, S., Gladyshev, P., Johnson, D., & Pourzandi, M. (2021). Preface (Vol. 351).
Assoc Professor Georgiana Ifrim
De Bie, T., Saunders, C., Mladenic, D., Dong, Y., Hutter, F., Valera, I., et al. (2021). Preface (Vol. 12458 LNAI).
De Bie, T., Saunders, C., Mladenic, D., Dong, Y., Hutter, F., Valera, I., et al. (2021). Preface (Vol. 12459 LNAI).
De Bie, T., Saunders, C., Mladenic, D., Dong, Y., Hutter, F., Valera, I., et al. (2021). Preface (Vol. 12461 LNAI).
De Bie, T., Saunders, C., Mladenic, D., Dong, Y., Hutter, F., Valera, I., et al. (2021). Preface (Vol. 12457 LNAI).
De Bie, T., Saunders, C., Mladenic, D., Dong, Y., Hutter, F., Valera, I., et al. (2021). Preface (Vol. 12460 LNAI).

Chapter

Dr Brett Becker
Barry, M. (2020). Ethics and Computing. In B. A. Becker, & K. Quille (Eds.), Computer Science for Leaving Certificate. Ireland: Golden Key Publishing.
Mooney, C., & Becker, B. (2020). Transforming society, improving lives and machine learning. In B. A. Becker, & K. Quille (Eds.), Computer Science for Leaving Certificate. Ireland: Golden Key Educational Publishing.
Assoc Professor Michela Bertolotto
Burse, R., Bertolotto, M., O'Sullivan, D., & McArdle, G. (2021). Semantic interoperability: the future of healthcare. In Web Semantics (pp. 31-53). Elsevier.
Assoc Professor Fred Cummins
On vain repetitions: The enactment of collective subjectivities through speaking in unison (2020). In Mediation and Immediacy (pp. 165-178). De Gruyter.
Cummins, F. (2021). Vain repetitions: The role of joint speech in enacting collective subjectivities. In Sign, Method and the Sacred (pp. 73-86). De Gruyter.
Dr Ruihai Dong
Dolphin, R., Smyth, B., Xu, Y., & Dong, R. (2021). Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities. In Unknown Book (Vol. 12877 LNAI, pp. 64-78).
Zhang, G., Liu, D., Smyth, B., & Dong, R. (2021). Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning. In Unknown Book (Vol. 12877 LNAI, pp. 309-324).
Assoc Professor Pavel Gladyshev
Van der Mussele, T., Habibnia, B., & Gladyshev, P. (2021). Remote Air-Gap Live Forensics. In Unknown Book (Vol. 351, pp. 182-203).
Dr Babak Habibnia
Van der Mussele, T., Habibnia, B., & Gladyshev, P. (2021). Remote Air-Gap Live Forensics. In Unknown Book (Vol. 351, pp. 182-203).
Assoc Professor Neil Hurley
Duriakova, E., Huáng, W., Tragos, E., Lawlor, A., Smyth, B., Geraci, J., & Hurley, N. (2021). An Algorithmic Framework for Decentralised Matrix Factorisation. In Unknown Book (Vol. 12458 LNAI, pp. 307-323).
Dr Anca Delia Jurcut
Mazzarolo, G., Casas, J. C. F., Jurcut, A. D., & Le-Khac, N. -A. (2021). Protect Against Unintentional Insider Threats: The Risk of an Employee’s Cyber Misconduct on a Social Media Site. In Cybercrime in Context (pp. 79-101). Springer International Publishing.
Dr Aonghus Lawlor
Belton, N., Welaratne, I., Dahlan, A., Hearne, R. T., Hagos, M. T., Lawlor, A., & Curran, K. M. (2021). Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability. In Unknown Book (Vol. 12722 LNCS, pp. 71-86).
Duriakova, E., Huáng, W., Tragos, E., Lawlor, A., Smyth, B., Geraci, J., & Hurley, N. (2021). An Algorithmic Framework for Decentralised Matrix Factorisation. In Unknown Book (Vol. 12458 LNAI, pp. 307-323).
Feely, C., Caulfield, B., Lawlor, A., & Smyth, B. (2021). A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries. In Unknown Book (Vol. 12877 LNAI, pp. 79-93).
Dr Nhien An Le Khac
Bromley, S. T., Sheppard, J., Scanlon, M., & Le-Khac, N. A. (2021). Retracing the Flow of the Stream: Investigating Kodi Streaming Services. In Unknown Book (Vol. 351, pp. 231-236).
Alabdulsalam, S. K., Duong, T. Q., Choo, K. K. R., & Le-Khac, N. A. (2021). Evidence identification and acquisition based on network link in an internet of things environment. In Unknown Book (Vol. 1267 AISC, pp. 163-173).
Mazzarolo, G., Casas, J. C. F., Jurcut, A. D., & Le-Khac, N. -A. (2021). Protect Against Unintentional Insider Threats: The Risk of an Employee’s Cyber Misconduct on a Social Media Site. In Cybercrime in Context (pp. 79-101). Springer International Publishing.
Dr Gavin McArdle
Burse, R., Bertolotto, M., O'Sullivan, D., & McArdle, G. (2021). Semantic interoperability: the future of healthcare. In Web Semantics (pp. 31-53). Elsevier.
Assoc Professor Catherine Mooney
Mooney, C., & Becker, B. (2020). Transforming society, improving lives and machine learning. In B. A. Becker, & K. Quille (Eds.), Computer Science for Leaving Certificate. Ireland: Golden Key Educational Publishing.
Dr Takfarinas Saber
Saber, T., Bendechache, M., & Ventresque, A. (2021). Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis. In Unknown Book (Vol. 1443, pp. 361-373).
Dr Mark Scanlon
Bromley, S. T., Sheppard, J., Scanlon, M., & Le-Khac, N. A. (2021). Retracing the Flow of the Stream: Investigating Kodi Streaming Services. In Unknown Book (Vol. 351, pp. 231-236).
Professor Barry Smyth
Feely, C., Caulfield, B., Lawlor, A., & Smyth, B. (2021). A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries. In Unknown Book (Vol. 12877 LNAI, pp. 79-93).
Dolphin, R., Smyth, B., Xu, Y., & Dong, R. (2021). Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities. In Unknown Book (Vol. 12877 LNAI, pp. 64-78).
Duriakova, E., Huáng, W., Tragos, E., Lawlor, A., Smyth, B., Geraci, J., & Hurley, N. (2021). An Algorithmic Framework for Decentralised Matrix Factorisation. In Machine Learning and Knowledge Discovery in Databases (Vol. 12458 LNAI, pp. 307-323).
Zhang, G., Liu, D., Smyth, B., & Dong, R. (2021). Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning. In Unknown Book (Vol. 12877 LNAI, pp. 309-324).
Dr Elias Tragos
Duriakova, E., Huáng, W., Tragos, E., Lawlor, A., Smyth, B., Geraci, J., & Hurley, N. (2021). An Algorithmic Framework for Decentralised Matrix Factorisation. In Unknown Book (Vol. 12458 LNAI, pp. 307-323).
Dr Anthony Ventresque
Saber, T., Bendechache, M., & Ventresque, A. (2021). Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis. In Unknown Book (Vol. 1443, pp. 361-373).

Conference Paper

Dr Nima Afraz
Afraz, N., & Ruffini, M. (2021). Trustless Virtual PON Sharing for 5G Services. In 25th International Conference on Optical Network Design and Modelling, ONDM 2021.
Dr Deepak Ajwani
Fitzpatrick, J., Ajwani, D., & Carroll, P. (2021). Learning to Sparsify Travelling Salesman Problem Instances. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12735 LNCS (pp. 410-426).
Dr Félix Balado
Balado, F., & Silvestre, G. (2021). Benford's Law: Hammering a Square Peg into a Round Hole?. In 29th European Signal Processing Conference (EUSIPCO). Dublin, Ireland.
Dr Brett Becker
Karvelas, I., Dillane, J., & Becker, B. A. (2020). Compile much? A closer look at the programming behavior of novices in different compilation and error message presentation contexts. In PervasiveHealth: Pervasive Computing Technologies for Healthcare (pp. 59-65).
Mooney, C., & Becker, B. A. (2020). Sense of belonging: The intersectionality of self-identified minority status and gender in undergraduate computer science students. In PervasiveHealth: Pervasive Computing Technologies for Healthcare (pp. 24-30).
Becker, B. A., Denny, P., Prather, J., Pettit, R., Nix, R., & Mooney, C. (2021). Towards Assessing the Readability of Programming Error Messages. In ACM International Conference Proceeding Series (pp. 181-188).
Becker, B. A., Mooney, C., Kumar, A. N., & Russell, S. (2021). A Simple, Language-Independent Approach to Identifying Potentially At-Risk Introductory Programming Students. In ACM International Conference Proceeding Series (pp. 168-175).
Mooney, C., & Becker, B. A. (2021). Investigating the Impact of the COVID-19 Pandemic on Computing Students' Sense of Belonging. In SIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 612-618).
Becker, B. A., Settle, A., Luxton-Reilly, A., Morrison, B. B., & Laxer, C. (2021). Expanding Opportunities: Assessing and Addressing Geographic Diversity at the SIGCSE Technical Symposium. In SIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 281-287).
Denny, P., Prather, J., & Becker, B. A. (2021). On designing programming error messages for novices: Readability and its constituent factors. In Conference on Human Factors in Computing Systems - Proceedings.
Mooney, C., & Becker, B. A. (2021). Investigating the impact of the COVID-19 pandemic on computing students' sense of belonging. In ACM Inroads Vol. 12 (pp. 38-45).
Quille, K., Nolan, K., Becker, B. A., & McHugh, S. (2021). Developing an Open-Book Online Exam for Final Year Students. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 338-344).
Becker, B. A., & Gallagher, D. (2021). Computing Crossroads: Career Diversity Highlighting Computing's Natural Diversity. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 649).
Schulte, C., Becker, B. A., Divitini, M., & Barendsen, E. (2021). ITiCSE 2021 Chairs Welcome. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. III-IV).
Karvelas, I., Dillane, J., & Becker, B. A. (2021). Exploring Novice Programming Behavior over Time. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 651).
Schulte, C., Becker, B. A., Divitini, M., & Barendsen, E. (2021). ITiCSE 2021 Chairs' Welcome. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. III-IV).
Becker, B. A. (2021). The Roles of Computing Terminology in Non-Computing Disciplines. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 659).
Faherty, R., Quille, K., Vivian, R., McGill, M. M., Becker, B. A., & Nolan, K. (2021). Comparing Programming Self-Esteem of Upper Secondary School Teachers to CS1 Students. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 554-560).
Assoc Professor Michela Bertolotto
Dassereto, F., Rocco, L. D., Shaw, S., Guerrini, G., & Bertolotto, M. (2020). How to Tune Parameters in Geographical Ontologies Embedding. In PervasiveHealth: Pervasive Computing Technologies for Healthcare.
Jain, M., Gollini, I., Bertolotto, M., McArdle, G., & Dev, S. (2021). An Extremely-Low Cost Ground-Based Whole Sky Imager. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE.
Dr Oisin Boydell
Perez-Carabaza, S., Boydell, O., & O'Connell, J. (2021). Monitoring Threatened Irish Habitats Using Multi-Temporal Multi-Spectral Aerial Imagery and Convolutional Neural Networks. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE.
Dr Abey Campbell
Pan, X., Zheng, M., Yang, J., & Campbell, A. G. (2020). An Adaptive Low-cost Approach to Display Different Scenes to Multi-users for the Light Field Display. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST.
Xu, X., Pan, X., & Campbell, A. G. (2020). ARLS: An asymmetrical remote learning system for sharing anatomy between an HMD and a light field display. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST.
Yang, J., Li, X., & Campbell, A. G. (2020). Variable Rate Ray Tracing for Virtual Reality. In SIGGRAPH Asia 2020 Posters. SA 2020.
Iqbal, M. Z., & Campbell, A. G. (2021). Touchless Hand Interaction and Machine Learning Agents to Support Kinesthetic Learning in Augmented Reality. In SIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 1322).
Iqbal, M. Z., & Campbell, A. G. (2021). Investigating challenges and opportunities of the touchless hand interaction and machine learning agents to support kinesthetic learning in augmented reality. In International Conference on Intelligent User Interfaces, Proceedings IUI (pp. 99-101).
Iqbal, M. Z., Mangina, E., & Campbell, A. G. (2021). Exploring the real-time touchless hand interaction and intelligent agents in augmented reality learning applications. In Proceedings of 2021 7th International Conference of the Immersive Learning Research Network, iLRN 2021.
Zheng, M., Pan, X., Xu, X., & Campbell, A. G. (2021). METAL: Explorations into sharing 3d educational content across augmented reality headsets and light field displays. In Proceedings of 2021 7th International Conference of the Immersive Learning Research Network, iLRN 2021.
Dr Dimitris Chatzopoulos
Bermejo, C., Chatzopoulos, D., & Hui, P. (2020). EyeShopper: Estimating Shoppers' Gaze using CCTV Cameras. In MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia (pp. 2765-2774).
Koutsos, V., Papadopoulos, D., Chatzopoulos, D., Tarkoma, S., & Hui, P. (2020). Agora: A privacy-aware data marketplace. In Proceedings - International Conference on Distributed Computing Systems Vol. 2020-November (pp. 1211-1212).
Palanisamy, K., Khimani, V., Moti, M. H., & Chatzopoulos, D. (2021). SplitEasy: A Practical Approach for Training ML models on Mobile Devices. In HotMobile 2021 - Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications (pp. 37-43).
Assoc Professor David Coyle
Nunes Vilaza, G., Maharjan, R., Coyle, D., & Bardram, J. (2020). Futures for Health Research Data Platforms from the Participants' Perspectives. In PervasiveHealth: Pervasive Computing Technologies for Healthcare.
Professor Pádraig Cunningham
Cunningham, P., & Delany, S. J. (2021). Underestimation Bias and Underfitting in Machine Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12641 LNAI (pp. 20-31).
Yang, L., Li, J., Cunningham, P., Zhang, Y., Smyth, B., & Dong, R. (2021). Exploring the efficacy of automatically generated counterfactuals for sentiment analysis. In ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference (pp. 306-316).
Mullen, J., Celikin, M., Cunningham, P., & Browne, D. (2021). A comparison of terrestrial and microgravity isothermal equiaxed alloy solidification through machine learning, multi-stage thresholding and sub-dendrite-based in situ X-ray video processing. In TMS Virtual Annual Meeting & Exhibition. online conference.
Dr Soumyabrata Dev
Jain, M., Alskaif, T., & Dev, S. (2020). A clustering framework for residential electric demand profiles. In SEST 2020 - 3rd International Conference on Smart Energy Systems and Technologies.
Bacher, I., Javidnia, H., Dev, S., Agrahari, R., Hossari, M., Nicholson, M., et al. (2020). A 3D-Advert Creation System for Product Placements. In Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD).
Elsayed, M. S., Le-Khac, N. A., Dev, S., & Jurcut, A. D. (2020). Detecting abnormal traffic in large-scale networks. In 2020 International Symposium on Networks, Computers and Communications, ISNCC 2020.
Said Elsayed, M., Le-Khac, N. A., Dev, S., & Jurcut, A. D. (2020). Network Anomaly Detection Using LSTM Based Autoencoder. In Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks (pp. 37-45).
Jain, M., Gollini, I., Bertolotto, M., McArdle, G., & Dev, S. (2021). An Extremely-Low Cost Ground-Based Whole Sky Imager. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE.
Jain, M., Meegan, C., & Dev, S. (2021). Using GANs to Augment Data for Cloud Image Segmentation Task. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
Kaloni, D., Lee, Y. H., & Dev, S. (2021). Impact of COVID19-induced Lockdown on Air Quality in Ireland. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
Wu, J., Orlandi, F., O'Sullivan, D., & Dev, S. (2021). An Ontology Model for Climatic Data Analysis. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
Dr Ruihai Dong
Li, J., Yang, L., Smyth, B., & Dong, R. (2020). MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. In International Conference on Information and Knowledge Management, Proceedings (pp. 3063-3070).
He, M., Shen, T., & Dong, R. (2021). Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12706 LNCS (pp. 209-224).
Yang, L., Li, J., Cunningham, P., Zhang, Y., Smyth, B., & Dong, R. (2021). Exploring the efficacy of automatically generated counterfactuals for sentiment analysis. In ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference (pp. 306-316).
Assoc Professor Pavel Gladyshev
Gladyshev, S., Gladyshev, P., & Okrainskaya, I. (2021). Modeling Synchronous and Induction Machine with Wireless Rotor. In SAE Technical Papers.
Dr Fatemeh Golpayegani
Malekjafarian, A., Moloney, C., & Golpayegani, F. (2021). Drive-by Bridge Health Monitoring Using Multiple Passes and Machine Learning. In Unknown Conference Vol. 127 (pp. 695-703).
Dr Derek Greene
Datta, S., Ganguly, D., Roy, D., Greene, D., Jochim, C., & Bonin, F. (2020). Overview of the Causality-driven Adhoc Information Retrieval (CAIR) task at FIRE-2020. In PervasiveHealth: Pervasive Computing Technologies for Healthcare (pp. 14-17).
Marshall, F., Murphy, D., Salmon, L., rm’Callaghan, D. O., Doyle, M., Reilly, J., et al. (2021). Development of the Ground Segment Communication System for the EIRSAT-1 CubeSat. In http://hdl.handle.net/10197/12233.
Kenny, E. M., Delaney, E. D., Greene, D., & Keane, M. T. (2021). Post-hoc Explanation Options for XAI in Deep Learning. In Proc. International Conference on Pattern Recognition International Workshops and Challenges (ICPR’21) (pp. 20-34). Cham: Springer.
Delaney, E., Greene, D., & Keane, M. T. (2021). Instance-Based Counterfactual Explanations for Time Series Classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12877 LNAI (pp. 32-47).
Doyle, M., Dunwoody, R., Finneran, G., Murphy, D., Reilly, J., Thompson, J., et al. (2021). Mission testing for improved reliability of CubeSats. In Proceedings of SPIE - The International Society for Optical Engineering Vol. 11852.
Cunningham, E., Smyth, B., & Greene, D. (2021). Navigating Multidisciplinary Research Using Field of Study Networks. In Proc. 10th International Conference on Complex Networks and Their Applications. Madrid, Spain: Springer.
Sadler, S., Greene, D., & Archambault, D. (2021). Selecting Informative Features for Post-Hoc Community Explanation. In Proc. 10th International Conference on Complex Networks and Their Applications. Madrid, Spain: Springer.
Dr Babak Habibnia
Simioni, M., Pavel, G., Babak, H., Roberto Nunes de Souza, P., & Habibnia, B. (2021). Monitoring an anonymity network: toward the deanonymization of hidden services. In DFRWS. Marco.
Dr Alzubair Hassan
Eltayieb, N., Hassan, A., Elhabob, R., & Li, F. (2020). Fine-Grained Attribute-Based Encryption Scheme Supporting Equality Test. In Algorithms and Architectures for Parallel Processing. ICA3PP 2018..
Hassan, A., Hamza, R., Mawutor, V. G., Patil, A. S., & Li, F. (2020). A Lightweight Certificateless User Authentication Scheme for Mobile Environment. In International Conference on Machine Learning for Cyber Security.
Dr Andrew Hines
Barry, D., Ragano, A., & Hines, A. (2020). Audio Inpainting based on Self-similarity for Sound Source Separation Applications. In IEEE 22nd International Workshop on Multimedia Signal Processing, MMSP 2020.
Jassim, W. A., Skoglund, J., Chinen, M., & Hines, A. (2021). WARP-Q: Quality prediction for generative neural speech codecs. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Vol. 2021-June (pp. 401-405).
Martinez, H. B., da Costa, A. H. M., Azambuja, B., Hines, A., & Farias, M. C. Q. (2021). Exploring the boundaries of an AE-based quality model: A performance analysis via synthetic content. In IS and T International Symposium on Electronic Imaging Science and Technology Vol. 2021.
Karami, Z., Hines, A., & Jahromi, H. Z. (2021). Leveraging IoT Lifelog Data to Analyse Performance of Physical Activities. In 2021 32nd Irish Signals and Systems Conference, ISSC 2021.
Becker, D., & Hines, A. (2021). Automated Analysis of Inference Attacks on Property Preserving Encryption in the Symbolic Model. In 2021 32nd Irish Signals and Systems Conference, ISSC 2021.
Ragano, A., Benetos, E., & Hines, A. (2021). More for less: Non-intrusive speech quality assessment with limited annotations. In 2021 13th International Conference on Quality of Multimedia Experience, QoMEX 2021 (pp. 103-108).
Assoc Professor Neil Hurley
Peña, F. J., O'Reilly-Morgan, D., Tragos, E. Z., Hurley, N., Duriakova, E., Smyth, B., & Lawlor, A. (2020). Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. In RecSys 2020 - 14th ACM Conference on Recommender Systems (pp. 438-443).
Huang, W., Laitonjam, N., Piao, G., & Hurley, N. J. (2021). Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12714 LNAI (pp. 206-218).
Assoc Professor Georgiana Ifrim
Dhariyal, B., Le Nguyen, T., Gsponer, S., & Ifrim, G. (2020). An Examination of the State-of-the-Art for Multivariate Time Series Classification. In IEEE International Conference on Data Mining Workshops, ICDMW Vol. 2020-November (pp. 243-250).
Dr Anca Delia Jurcut
Elsayed, M. S., Le-Khac, N. A., Dev, S., & Jurcut, A. D. (2020). Detecting abnormal traffic in large-scale networks. In 2020 International Symposium on Networks, Computers and Communications, ISNCC 2020.
Said Elsayed, M., Le-Khac, N. A., Dev, S., & Jurcut, A. D. (2020). Network Anomaly Detection Using LSTM Based Autoencoder. In Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks (pp. 37-45).
Elsayed, M. S., Jahromi, H. Z., Nazir, M. M., & Jurcut, A. D. (2021). The Role of CNN for Intrusion Detection Systems: An Improved CNN Learning Approach for SDNs. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST Vol. 382 (pp. 91-104).
Iqbal, I., Jurcut, A. D., & Nazir, M. M. (2021). A Design of Energy Efficient Nanorouting Protocol Using Greedy Algorithm. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST Vol. 382 (pp. 37-47).
Abdallah, M., An Le Khac, N., Jahromi, H., & Delia Jurcut, A. (2021). A Hybrid CNN-LSTM Based Approach for Anomaly Detection Systems in SDNs. In ACM International Conference Proceeding Series.
Professor Mohand Tahar Kechadi
Salhi, D. E., Tari, A., & Kechadi, M. T. (2021). Using Machine Learning for Heart Disease Prediction. In Lecture Notes in Networks and Systems Vol. 199 LNNS (pp. 70-81).
Brennan, L., Bevilacqua, A., Kechadi, T., & Caulfield, B. (2021). A Novel Validation Framework to Assess Segmentation Accuracy of Inertial Sensor Data for Rehabilitation Exercises. In IFMBE Proceedings Vol. 80 (pp. 29-37).
Assoc Professor Alexey Lastovetsky
Nuriyev, E., & Lastovetsky, A. (2021). A New Model-Based Approach to Performance Comparison of MPI Collective Algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12942 LNCS (pp. 11-25).
Dr Aonghus Lawlor
Berndsen, J., Smyth, B., & Lawlor, A. (2020). Fit to Run: Personalised Recommendations for Marathon Training. In RecSys 2020 - 14th ACM Conference on Recommender Systems (pp. 480-485).
Feely, C., Caulfield, B., Lawlor, A., & Smyth, B. (2020). Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners. In RecSys 2020 - 14th ACM Conference on Recommender Systems (pp. 539-544).
Peña, F. J., O'Reilly-Morgan, D., Tragos, E. Z., Hurley, N., Duriakova, E., Smyth, B., & Lawlor, A. (2020). Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. In RecSys 2020 - 14th ACM Conference on Recommender Systems (pp. 438-443).
Berndsen, J., Smyth, B., & Lawlor, A. (2020). A Collaborative Filtering Approach to Successfully Completing the Marathon. In Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020 (pp. 653-658).
Dr Nhien An Le Khac
Elsayed, M. S., Le-Khac, N. A., Dev, S., & Jurcut, A. D. (2020). Detecting abnormal traffic in large-scale networks. In 2020 International Symposium on Networks, Computers and Communications, ISNCC 2020.
Said Elsayed, M., Le-Khac, N. A., Dev, S., & Jurcut, A. D. (2020). Network Anomaly Detection Using LSTM Based Autoencoder. In Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks (pp. 37-45).
Cents, R., & Le-Khac, N. A. (2020). Towards a new approach to identify WhatsApp messages. In Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020 (pp. 1895-1902).
Kaleel, M., & Le-Khac, N. A. (2020). Towards a new deep learning based approach for the password prediction. In Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020 (pp. 1146-1150).
Kuppa, A., Aouad, L., & Le-Khac, N. A. (2020). Effect of Security Controls on Patching Window: A Causal Inference based Approach. In PervasiveHealth: Pervasive Computing Technologies for Healthcare (pp. 556-566).
Kuppa, A., Aouad, L., & Le-Khac, N. A. (2021). Towards Improving Privacy of Synthetic DataSets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12703 LNCS (pp. 106-119).
Kuppa, A., Aouad, L., & Le-Khac, N. A. (2021). Linking CVE's to MITRE ATT and CK Techniques. In ACM International Conference Proceeding Series.
Abdallah, M., An Le Khac, N., Jahromi, H., & Delia Jurcut, A. (2021). A Hybrid CNN-LSTM Based Approach for Anomaly Detection Systems in SDNs. In ACM International Conference Proceeding Series.
Dr David Lillis
Lillis, D. (2020). On the Evaluation of Data Fusion for Information Retrieval. In PervasiveHealth: Pervasive Computing Technologies for Healthcare (pp. 54-57).
Wang, C., Nulty, P., & Lillis, D. (2020). A Comparative Study on Word Embeddings in Deep Learning for Text Classification. In PervasiveHealth: Pervasive Computing Technologies for Healthcare (pp. 37-46).
Dr Madhusanka Liyanage
De Silva, R., Siriwardhana, Y., Samarasinghe, T., Ylianttila, M., & Liyanage, M. (2020). Local 5G Operator Architecture for Delay Critical Telehealth Applications. In 2020 IEEE 3rd 5G World Forum, 5GWF 2020 - Conference Proceedings (pp. 257-262).
Mishra, R. A., Kalla, A., Shukla, K., Nag, A., & Liyanage, M. (2020). B-VNF: Blockchain-enhanced Architecture for VNF Orchestration in MEC-5G Networks. In 2020 IEEE 3rd 5G World Forum, 5GWF 2020 - Conference Proceedings (pp. 229-234).
Sandeepa, C., Moremada, C., Dissanayaka, N., Gamage, T., & Liyanage, M. (2020). Social Interaction Tracking and Patient Prediction System for Potential COVID-19 Patients. In 2020 IEEE 3rd 5G World Forum, 5GWF 2020 - Conference Proceedings (pp. 13-18).
Hewa, T. M., Kalla, A., Nag, A., Ylianttila, M. E., & Liyanage, M. (2020). Blockchain for 5G and IoT: Opportunities and Challenges. In 2020 8th International Conference on Communications and Networking, ComNet2020 - Proceedings.
Braeken, A., Porambage, P., Puvaneswaran, A., & Liyanage, M. (2020). ESSMAR: Edge Supportive Secure Mobile Augmented Reality Architecture for Healthcare. In Proceedings of 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, CloudTech 2020.
Yadav, A. K., Misra, M., Liyanage, M., & Varshney, G. (2020). Secure and User Efficient EAP-based Authentication Protocol for IEEE 802.11 Wireless LANs. In Proceedings - 2020 IEEE 17th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2020 (pp. 576-584).
Hewa, T., Braeken, A., Ylianttila, M., & Liyanage, M. (2020). Multi-Access Edge Computing and Blockchain-based Secure Telehealth System Connected with 5G and IoT. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Vol. 2020-January.
Siriwardhana, Y., Porambage, P., Liyanage, M., & Ylianttila, M. (2021). Performance analysis of softwarized local mobile networks. In 2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021.
Weerasinghe, N., Hewa, T., Dissanayake, M., Ylianttila, M., & Liyanage, M. (2021). Blockchain-based roaming and offload service platform for local 5G operators. In 2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021.
Wijethilaka, S., & Liyanage, M. (2021). Realizing internet of things with network slicing: Opportunities and challenges. In 2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021.
Rupasena, J., Rewa, T., Hemachandra, K. T., & Liyanage, M. (2021). Scalable storage scheme for blockchain-enabled IoT equipped food supply chains. In 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021 (pp. 300-305).
Siriwardhana, Y., Porambage, P., Liyanage, M., & Ylianttila, M. (2021). AI and 6G security: Opportunities and challenges. In 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021 (pp. 616-621).
Porambage, P., Gur, G., Moya Osorio, D. P., Livanage, M., & Ylianttila, M. (2021). 6G security challenges and potential solutions. In 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021 (pp. 622-627).
Assoc Professor Brian Mac Namee
Jing, M., Namee, B. M., McLaughlin, D., Steele, D., McNamee, S., Cullen, P., et al. (2020). Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping. In 2020 IEEE International Conference on Image Processing (ICIP). IEEE.
Ellen, R., & Mac Namee, B. (2020). Deep Context-Aware Novelty Detection. In Interpretable Inductive Biases and Physically Structured Learning Workshop at NeurIPS 2020 Thirty-fourth Conference on Neural Information Processing Systems.
Professor Eleni Mangina
Kathirgamanathan, A., De Rosa, M., Mangina, E., & Finn, D. (2020). Towards Robustness of Data-Driven Predictive Control for Building Energy Flexibility Applications. In BSO 2020. Loughborough University, UK.
Kathirgamanathan, A., De Rosa, M., Mangina, E., & Finn, D. (2020). Data-Driven Predictive Control for Commercial Buildings with Multiple Energy Flexibility Sources. In Proceedings of 2020 Building Performance Modeling Conference and SimBuild. ASHRAE / IBPSA.
Kathirgamanathan, A., Twardowski, K., Mangina, E., & Finn, D. P. (2020). A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn. In Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities. ACM.
Masneri, S., Dominguez, A., & Mangina, E. (2021). Workshop-Authoring Tools for XR Applications in Education. In D. Economou, A. Pena-Rios, A. Dengel, H. Dodds, M. Mentzelopoulos, A. Klippel, . . . J. Richter (Eds.), 2021 7TH INTERNATIONAL CONFERENCE OF THE IMMERSIVE LEARNING RESEARCH NETWORK (ILRN) (pp. 453-454). ELECTR NETWORK: IEEE.
Tiede, J., Matin, F., Treacy, R., Grafe, S., & Mangina, E. (2021). Evaluation design methodology for an AR app for english literacy skills. In Proceedings of 2021 7th International Conference of the Immersive Learning Research Network, iLRN 2021.
Iqbal, M. Z., Mangina, E., & Campbell, A. G. (2021). Exploring the real-time touchless hand interaction and intelligent agents in augmented reality learning applications. In Proceedings of 2021 7th International Conference of the Immersive Learning Research Network, iLRN 2021.
Masneri, S., Dominguez, A., & Mangina, E. (2021). Workshop-Authoring tools for XR applications in education. In Proceedings of 2021 7th International Conference of the Immersive Learning Research Network, iLRN 2021.
Ryan, G., Rafferty, A., Murphy, J., Higgins, M., Mangina, E., & McAuliffe, F. (2021). Virtual reality learning: a method to improve student knowledge of fetal development. In BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY Vol. 128 (pp. 257). WILEY.
Mangina, E., & Psyrra, G. (2021). REVIEW OF LEARNING ANALYTICS AND EDUCATIONAL DATA MINING APPLICATIONS. In EDULEARN21 Proceedings. IATED.

Dr Gavin McArdle
Hafeez, T., McArdle, G., & Xu, L. (2020). Adaptive Window Based Sampling on the Edge for Internet of Things Data Streams. In Proceedings of the 11th International Conference on Network of the Future, NoF 2020 (pp. 105-109).
Kergosien, E., De Runz, C., Sallaberry, C., McArdle, G., & Alvares, L. O. (2021). Special Track on GeoInformation Analytics (ACM SAC, GIA track). In Proceedings of the ACM Symposium on Applied Computing (pp. 533-534).
Sallaberry, C., Kergosien, E., de Runz, C., McArdle, G., & Alvares, L. O. (2021). Session details: Theme: Information systems: GIA - GeoInformation analytics track. In Proceedings of the 36th Annual ACM Symposium on Applied Computing. ACM.
Jain, M., Gollini, I., Bertolotto, M., McArdle, G., & Dev, S. (2021). An Extremely-Low Cost Ground-Based Whole Sky Imager. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE.
Assoc Professor Catherine Mooney
Mooney, C., & Becker, B. A. (2020). Sense of belonging: The intersectionality of self-identified minority status and gender in undergraduate computer science students. In PervasiveHealth: Pervasive Computing Technologies for Healthcare (pp. 24-30).
Antoniadi, A., Galvin, M., Heverin, M., Hardiman, O., & Mooney, C. (2020). Using Patient Information for the Prediction of Caregiver Burden in Amyotrophic Lateral Sclerosis. In Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. ACM.
Du, Y., Mehegan, J., McAuliffe, F. M., & Mooney, C. (2020). Prediction of Large for Gestational Age Infants in Overweight and Obese Women at Approximately 20 Gestational Weeks. In Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2020.
Brennan, G. P., Bauer, S., Engel, T., Jimenez-Mateos, E. M., Del Gallo, F., Hill, T. D. M., et al. (2020). Genome-wide microRNA profiling of plasma from three different animal models identifies biomarkers of temporal lobe epilepsy. In Neurobiology of Disease Vol. 144.
Antoniadi, A. M., Galvin, M., Heverin, M., Hardiman, O., & Mooney, C. (2020). Identifying Features That Are Predictive of Quality of Life in People with Amyotrophic Lateral Sclerosis. In 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020.
Wei, L., Gerbatin, R., Mamad, O., Boutouil, H., Reschke, C., Lowery, M., et al. (2020). XGboost-based Method for Seizure Detection in Mouse Models of Epilepsy. In 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings.
Wei, L., & Mooney, C. (2020). Epileptic Seizure Detection in Clinical EEGs Using an XGboost-based Method. In 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings.
Du, Y., Rafferty, A. R., McAuliffe, F. M., & Mooney, C. (2021). Explaining large-for-gestational-age births: A random forest classifier with a novel local interpretation method. In Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021.
Becker, B. A., Denny, P., Prather, J., Pettit, R., Nix, R., & Mooney, C. (2021). Towards Assessing the Readability of Programming Error Messages. In ACM International Conference Proceeding Series (pp. 181-188).
Becker, B. A., Mooney, C., Kumar, A. N., & Russell, S. (2021). A Simple, Language-Independent Approach to Identifying Potentially At-Risk Introductory Programming Students. In ACM International Conference Proceeding Series (pp. 168-175).
Mooney, C., & Becker, B. A. (2021). Investigating the Impact of the COVID-19 Pandemic on Computing Students' Sense of Belonging. In SIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 612-618).
Antoniadi, A. M., Galvin, M., Heverin, M., Hardiman, O., & Mooney, C. (2021). Development of an explainable clinical decision support system for the prediction of patient quality of life in amyotrophic lateral sclerosis. In Proceedings of the ACM Symposium on Applied Computing (pp. 594-602).
Denny, P., Prather, J., & Becker, B. A. (2021). On designing programming error messages for novices: Readability and its constituent factors. In Conference on Human Factors in Computing Systems - Proceedings.
Mooney, C., & Becker, B. A. (2021). Investigating the impact of the COVID-19 pandemic on computing students' sense of belonging. In ACM Inroads Vol. 12 (pp. 38-45).
Dr Vivek Nallur
Nallur, V., Lloyd, M., & Pearson, S. (2021). Automation: An essential component of ethical AI?. In 14th International Conference on ICT, Society, and Human Beings, ICT 2021, 18th International Conference on Web Based Communities and Social Media, WBC 2021 and 13th International Conference on e-Health, EH 2021 - Held at the 15th Multi-Conference on Computer Science and Information Systems, MCCSIS 2021 (pp. 229-232).
Pearson, S., Lloyd, M., & Nallur, V. (2021). Towards an ethics-audit bot. In 14th International Conference on ICT, Society, and Human Beings, ICT 2021, 18th International Conference on Web Based Communities and Social Media, WBC 2021 and 13th International Conference on e-Health, EH 2021 - Held at the 15th Multi-Conference on Computer Science and Information Systems, MCCSIS 2021 (pp. 187-191).
Dr Liliana Pasquale
McCrum, D., Pasquale, L., & Ntafloukas, K. (2020). An overview of cyber-physical threats to critical transportation infrastructure. In Civil Engineering Research Association of Ireland.
Farahani, A., Pasquale, L., Bennaceur, A., Welsh, T., & Nuseibeh, B. (2021). On Adaptive Fairness in Software Systems. In Proceedings - 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021 (pp. 97-103).
Van Landuyt, D., Pasquale, L., Sion, L., & Joosen, W. (2021). Threat modeling at run time: The case for reflective and adaptive threat management (NIER track). In Proceedings - 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021 (pp. 203-209).
Dr Seán Russell
Becker, B. A., Mooney, C., Kumar, A. N., & Russell, S. (2021). A Simple, Language-Independent Approach to Identifying Potentially At-Risk Introductory Programming Students. In ACM International Conference Proceeding Series (pp. 168-175).
Alaofi, S., & Russell, S. (2021). Computer Terminology Test for Non-native English Speaking CS1 Students. In SIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 1304).
Russell, S. (2021). Automatically Generated and Graded Program Tracing Quizzes with Feedback. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 652).
Dr Takfarinas Saber
Saber, T., Capatina, L., & Ventresque, A. (2020). Analysis of Urban Traffic Incidents through Road Network Features. In Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (pp. 1080-1087).
Saber, T., Cachard, C., & Ventresque, A. (2020). RONIN: A SUMO Interoperable Mesoscopic Urban Traffic Simulator. In Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (pp. 1104-1111).
Doyle, J., Saber, T., Arcaini, P., & Ventresque, A. (2021). Improving mobile user interface testing with model driven monkey search. In Proceedings - 2021 IEEE 14th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2021 (pp. 138-145).
Professor Barry Smyth
Feely, C., Caulfield, B., Lawlor, A., & Smyth, B. (2020). Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners. In RecSys 2020 - 14th ACM Conference on Recommender Systems (pp. 539-544).
Peña, F. J., O'Reilly-Morgan, D., Tragos, E. Z., Hurley, N., Duriakova, E., Smyth, B., & Lawlor, A. (2020). Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. In RecSys 2020 - 14th ACM Conference on Recommender Systems (pp. 438-443).
Berndsen, J., Smyth, B., & Lawlor, A. (2020). Fit to Run: Personalised Recommendations for Marathon Training. In RecSys 2020 - 14th ACM Conference on Recommender Systems (pp. 480-485).
Li, J., Yang, L., Smyth, B., & Dong, R. (2020). MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. In International Conference on Information and Knowledge Management, Proceedings (pp. 3063-3070).
Berndsen, J., Smyth, B., & Lawlor, A. (2020). A Collaborative Filtering Approach to Successfully Completing the Marathon. In Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020 (pp. 653-658).
Yang, L., Li, J., Cunningham, P., Zhang, Y., Smyth, B., & Dong, R. (2021). Exploring the efficacy of automatically generated counterfactuals for sentiment analysis. In ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference (pp. 306-316).
Dr Elias Tragos
Peña, F. J., O'Reilly-Morgan, D., Tragos, E. Z., Hurley, N., Duriakova, E., Smyth, B., & Lawlor, A. (2020). Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. In RecSys 2020 - 14th ACM Conference on Recommender Systems (pp. 438-443).
Dr Ihsan Ullah
Gupta, S., Ullah, I., & Madden, M. G. (2021). Coyote: A dataset of challenging scenarios in visual perception for autonomous vehicles. In CEUR Workshop Proceedings Vol. 2916.
Ullah, I., Lane, C., Buda, T. S., Drury, B., Mellotte, M., Assem, H., & Madden, M. G. (2021). Classification of Cybercrime Indicators in Open Social Data. In Communications in Computer and Information Science Vol. 1410 CCIS (pp. 317-332).
Assoc Professor Tony Veale
Wicke, P., & Veale, T. (2021). Walk the line: Digital storytelling as embodied spatial performance. In AISB Convention 2021: Communication and Conversations.
Wicke, P., & Veale, T. (2021). Are you not entertained? Computational storytelling with non-verbal interaction. In ACM/IEEE International Conference on Human-Robot Interaction (pp. 200-204).
Dr Anthony Ventresque
Ma, W., Laurent, T., Ojdanic, M., Chekam, T. T., Ventresque, A., & Papadakis, M. (2020). Commit-Aware Mutation Testing. In Proceedings - 2020 IEEE International Conference on Software Maintenance and Evolution, ICSME 2020 (pp. 394-405).
Laurent, T., Arcaini, P., Ishikawa, F., & Ventresque, A. (2020). Achieving Weight Coverage for an Autonomous Driving System with Search-based Test Generation. In Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS Vol. 2020-October (pp. 93-102).
Laurent, T., Wall, F., & Ventresque, A. (2020). On the impact of timeouts and JVM crashes in Pitest. In Proceedings - 2020 IEEE 13th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2020 (pp. 247-253).
Saber, T., Cachard, C., & Ventresque, A. (2020). RONIN: A SUMO Interoperable Mesoscopic Urban Traffic Simulator. In Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (pp. 1104-1111).
Saber, T., Capatina, L., & Ventresque, A. (2020). Analysis of Urban Traffic Incidents through Road Network Features. In Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (pp. 1080-1087).
Ruane, E., Farrell, S., & Ventresque, A. (2021). User Perception of Text-Based Chatbot Personality. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12604 LNCS (pp. 32-47).
Doyle, J., Saber, T., Arcaini, P., & Ventresque, A. (2021). Improving mobile user interface testing with model driven monkey search. In Proceedings - 2021 IEEE 14th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2021 (pp. 138-145).
Laurent, T., Arcaini, P., Ishikawa, F., & Ventresque, A. (2021). Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021). In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 33-34).
Dr Shen Wang
Hayes, S., Wang, S., & Djahel, S. (2020). Personalized Road Networks Routing with Road Safety Consideration: A Case Study in Manchester. In 2020 IEEE International Smart Cities Conference, ISC2 2020.
Tamam, I., Wang, S., & Djahel, S. (2020). An IoT-based Eco-Parking System for Smart Cities. In 2020 IEEE International Smart Cities Conference, ISC2 2020.
Dr Lina Xu
Hafeez, T., McArdle, G., & Xu, L. (2020). Adaptive Window Based Sampling on the Edge for Internet of Things Data Streams. In Proceedings of the 11th International Conference on Network of the Future, NoF 2020 (pp. 105-109).
Dr Arjumand Younus
Younus, A., & Qureshi, M. A. (2020). Combining BERT with Contextual Linguistic Features for Identification of Propaganda Spans in News Articles. In Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 (pp. 5864-5866).

Edited Book

Dr Anca Delia Jurcut
Revolutionary Applications of Blockchain-Enabled Privacy and Access Control (2021). . IGI Global.
Dr Michael O'Grady
Wireless Mobile Communication and Healthcare (2021). . Springer International Publishing.

Internet publication

Assoc Professor Fred Cummins
Cummins, F. (2021). Joint Speech as a challenge to our understanding of language. LBASS. Retrieved from http://www.letras.ufmg.br/lbass/

Journal article

Dr Helard Becerra
Martinez, H. B., Hines, A., & Farias, M. C. Q. (2021). Perceptual quality of audio-visual content with common video and audio degradations. Applied Sciences (Switzerland), 11(13).
Dr Brett Becker
Becker, B. (2020). CompEd. ACM SIGCSE Bulletin, 52(4), 4.
Antoniadi, A. M., Du, Y., Guendouz, Y., Wei, L., Mazo, C., Becker, B. A., & Mooney, C. (2021). Current challenges and future opportunities for xai in machine learning-based clinical decision support systems: A systematic review. Applied Sciences (Switzerland), 11(11).
Becker, B. A. (2021). What does saying that 'programming is hard' really say, and about whom?. Communications of the ACM, 64(8), 27-29.
Assoc Professor Michela Bertolotto
Moomen, A. W., Lacroix, P., Bertolotto, M., & Jensen, D. (2020). The drive towards consensual perspectives for enhancing sustainable mining. Resources, 9(12), 1-16.
Di Rocco, L., Dassereto, F., Bertolotto, M., Buscaldi, D., Catania, B., & Guerrini, G. (2021). Sherloc: a knowledge-driven algorithm for geolocating microblog messages at sub-city level. International Journal of Geographical Information Science, 35(1), 84-115.
Sakka, A., Bimonte, S., Rizzi, S., Sautot, L., Pinet, F., Bertolotto, M., et al. (2021). A profile-aware methodological framework for collaborative multidimensional modeling. Data and Knowledge Engineering, 131-132.
Alghanim, A., Jilani, M., Bertolotto, M., & McArdle, G. (2021). Leveraging road characteristics and contributor behaviour for assessing road type quality in osm. ISPRS International Journal of Geo-Information, 10(7).
Assoc Professor Chris Bleakley
Rasti, S., Bleakley, C. J., Holden, N. M., Whetton, R., Langton, D., & O'Hare, G. (2021). A survey of high resolution image processing techniques for cereal crop growth monitoring. Information Processing in Agriculture.
Rasti, S., Bleakley, C. J., Silvestre, G. C. M., Holden, N. M., Langton, D., & O’Hare, G. M. P. (2021). Crop growth stage estimation prior to canopy closure using deep learning algorithms. Neural Computing and Applications, 33(5), 1733-1743.
Dr Oisin Boydell
Pérez-Carabaza, S., Boydell, O., & O’Connell, J. (2021). Habitat classification using convolutional neural networks and multitemporal multispectral aerial imagery. Journal of Applied Remote Sensing, 15(04).
Dr Simon Caton
Leal, F., Chis, A. E., Caton, S., González–Vélez, H., García–Gómez, J. M., Durá, M., et al. (2021). Smart Pharmaceutical Manufacturing: Ensuring End-to-End Traceability and Data Integrity in Medicine Production. Big Data Research, 24.
Dr Dimitris Chatzopoulos
Koutsos, V., Papadopoulos, D., Chatzopoulos, D., Tarkoma, S., & Hui, P. (2021). Agora: A Privacy-Aware Data Marketplace. IEEE Transactions on Dependable and Secure Computing.
Chatzopoulos, D., Jain, A., Gujar, S., Faltings, B., & Hui, P. (2021). Towards Mobile Distributed Ledgers. IEEE Internet of Things Journal.
Pappas, C., Chatzopoulos, D., Lalis, S., & Vavalis, M. (2021). IPLS: A Framework for Decentralized Federated Learning. 2021 IFIP Networking Conference, IFIP Networking 2021.
Shatilov, K. A., Chatzopoulos, D., Lee, L. H., & Hui, P. (2021). Emerging ExG-based NUI Inputs in Extended Realities: A Bottom-up Survey. ACM Transactions on Interactive Intelligent Systems, 11(2).
Assoc Professor Rem Collier
Byrne, C. A., O’grady, M., Collier, R., & O’hare, G. M. P. (2020). An evaluation of graphical formats for the summary of activities of daily living (Adls). Healthcare (Switzerland), 8(3).
Assoc Professor Fintan Costello
Howe, R., & Costello, F. (2020). Random variation and systematic biases in probability estimation. Cognitive Psychology, 123.
Assoc Professor David Coyle
Stawarz, K., Preist, C., Tallon, D., Wiles, N., Kessler, D., Turner, K., et al. (2020). Design considerations for the integrated delivery of cognitive behavioral therapy for depression: User-centered design study. JMIR Mental Health, 7(9).
Tadas, S., & Coyle, D. (2020). Barriers to and Facilitators of Technology in Cardiac Rehabilitation and Self-Management: Systematic Qualitative Grounded Theory Review. Journal of Medical Internet Research, 22(11).
McCashin, D., Coyle, D., & O'Reilly, G. (2020). A qualitative evaluation of Pesky gNATs in primary care – The experiences of assistant psychologists providing computer-assisted CBT to children experiencing low mood and anxiety. Internet Interventions, 22.
Ivanof, B. E., Terhune, D. B., Coyle, D., Gottero, M., & Moore, J. W. (2021). Examining the effect of Libet clock stimulus parameters on temporal binding. Psychological Research.
Clyne, C., Jackman, C., Tully, M., Coyle, D., & O’Reilly, G. (2021). “We live in the moment”—Experiences of people with Intellectual Disabilities and Clinicians of Computer-Assisted Mindfulness and Relaxation. British Journal of Learning Disabilities.
Tadas, S., Pretorius, C., Foster, E. J., Gorely, T., Leslie, S. J., & Coyle, D. (2021). Transitions in technology-mediated cardiac rehabilitation and self-management: Qualitative study using the theoretical domains framework. JMIR Cardio, 5(2).
Assoc Professor Fred Cummins
Cummins, F., & Wang, B. (2021) Language and Languaging from a Phonetic Point of View. Cadernos de Linguística, 2(1), 01-28.
Steffensen, S. V., & Cummins, F. (2021). Language sciences in the future perfect: what will we have become?. Language Sciences, 85.
Professor Pádraig Cunningham
Badiane, M., & Cunningham, P. (2021). An empirical evaluation of kernels for time series. Artificial Intelligence Review.
Cunningham, P., & Delany, S. J. (2021). K-Nearest Neighbour Classifiers-A Tutorial. ACM Computing Surveys, 54(6).
Dr Soumyabrata Dev
Bacher, I., Javidnia, H., Dev, S., Agrahari, R., Hossari, M., Nicholson, M., et al. (2021). An Advert Creation System for 3D Product Placements. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12460 LNAI, 224-239.
Jain, M., Alskaif, T., & Dev, S. (2021). Validating Clustering Frameworks for Electric Load Demand Profiles. IEEE Transactions on Industrial Informatics.
Akrami, N., Ziarati, K., & Dev, S. (2021). Graph-based local climate classification in Iran. International Journal of Climatology.
Wang, H., Pathan, M. S., & Dev, S. (2021). Stereo matching based on visual sensitive information. 2021 6th International Conference on Image, Vision and Computing, ICIVC 2021, 312-316.
Dr Ruihai Dong
Shi, B., Tragos, E. Z., Ozsoy, M. G., Dong, R., Hurley, N., Smyth, B., & Lawlor, A. (2021). DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access, 9, 83340-83354.
An, Y., Guo, J., Ye, Q., Childs, C., Walsh, J., & Dong, R. (2021). A gigabyte interpreted seismic dataset for automatic fault recognition. Data in Brief, 37.
An, Y., Guo, J., Ye, Q., Childs, C., Walsh, J., & Dong, R. (2021). Deep convolutional neural network for automatic fault recognition from 3D seismic datasets. Computers and Geosciences, 153.
Li, L., Chen, L., & Dong, R. (2021). CAESAR: context-aware explanation based on supervised attention for service recommendations. Journal of Intelligent Information Systems, 57(1), 147-170.
Dr Daniel Gibert
Gibert, D., Mateu, C., Planes, J., & Marques-Silva, J. (2021). Auditing static machine learning anti-Malware tools against metamorphic attacks. Computers and Security, 102.
Dr Fatemeh Golpayegani
Ghanadbashi, S., & Golpayegani, F. (2021). Using ontology to guide reinforcement learning agents in unseen situations: A traffic signal control system case study. Applied Intelligence.
Malekjafarian, A., Obrien, E. J., Quirke, P., Cantero, D., & Golpayegani, F. (2021). Railway track loss-of-stiffness detection using bogie filtered displacement data measured on a passing train. Infrastructures, 6(6).
Dr Derek Greene
Alghamdi, E., Rushe, E., Mac Namee, B., & Greene, D. (2020). Overlapping community finding with noisy pairwise constraints. Applied Network Science, 5(1).
Belford, M., & Greene, D. (2020). Ensemble topic modeling using weighted term co-associations. Expert Systems with Applications, 161.
Kenny, E. M., Delaney, E. D., Greene, D., & Keane, M. T. (2021). Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12663 LNCS, 20-34.
Dr Babak Habibnia
Vafaie, A., Kivi, I. R., Moallemi, S. A., & Habibnia, B. (2021). Permeability prediction in tight gas reservoirs based on pore structure characteristics: A case study from South Western Iran. Unconventional Resources, 1, 9-17.
Dr Alzubair Hassan
Patil, A. S., Hamza, R., Hassan, A., Jiang, N., Yan, H., & Li, J. (2020). Efficient privacy-preserving authentication protocol using PUFs with blockchain smart contracts. Computers & Security, 97, 101958.
Eltayieb, N., Elhabob, R., Hassan, A., & Li, F. (2021). Secure mobile health system supporting search function and decryption verification. Journal of Ambient Intelligence and Humanized Computing, 12(2), 2221-2231.
Dr Andrew Hines
Barry, D., Zhang, Q., Sun, P. W., & Hines, A. (2021). Go Listen: An End-to- End Online Listening Test Platform. Journal of Open Research Software, 9, 1-12.
Moraes, A. N., Flynn, R., Hines, A., & Murray, N. (2021). The Role of Physiological Responses in a VR-Based Sound Localization Task. IEEE Access, 9, 122082-122091.
Jahromi, H. Z., Delaney, D., & Hines, A. (2021). A sign of things to come: Predicting the perception of above-the-fold time in web browsing. Future Internet, 13(2), 1-16.
Chinen, M., Skoglund, J., & Hines, A. (2021). Speech quality estimation with deep lattice networks. Journal of the Acoustical Society of America, 149(6), 3851-3861.
Martinez, H. B., Hines, A., & Farias, M. C. Q. (2021). Perceptual quality of audio-visual content with common video and audio degradations. Applied Sciences (Switzerland), 11(13).
Assoc Professor Neil Hurley
Ghaffar, F., & Hurley, N. (2020). Structural hole centrality: evaluating social capital through strategic network formation. Computational Social Networks, 7(1).
Shi, B., Tragos, E. Z., Ozsoy, M. G., Dong, R., Hurley, N., Smyth, B., & Lawlor, A. (2021). DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access, 9, 83340-83354.
Assoc Professor Georgiana Ifrim
Janik, A., Dodd, J., Ifrim, G., Sankaran, K., & Curran, K. (2021). Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 11596.
Dr Anca Delia Jurcut
Chen, J., Dojen, R., & Jurcut, A. (2020). Detection and prevention of new attacks for ID-based authentication protocols. PervasiveHealth: Pervasive Computing Technologies for Healthcare, 78-86.
Shahraki, A., Abbasi, M., Taherkordi, A., & Jurcut, A. D. (2021). Active Learning for Network Traffic Classification: A Technical Study. IEEE Transactions on Cognitive Communications and Networking.
Said Elsayed, M., Le-Khac, N. A., & Jurcut, A. D. (2021). Dealing with COVID-19 network traffic spikes. IEEE Security and Privacy, 19(1), 90-94.
Cvitic, I., Perakovic, D., Periša, M., & Jurcut, A. D. (2021). Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic. Mobile Networks and Applications.
Agbedanu, P., & Jurcut, A. D. (2021). BLOFF. Unknown Journal, 59-73.
Ranaweera, P., Liyanage, M., & Jurcut, A. D. (2021). Novel MEC Based Approaches for Smart Hospitals to Combat COVID-19 Pandemic. IEEE Consumer Electronics Magazine, 10(2), 80-91.
Ranaweera, P., Jurcut, A. D., & Liyanage, M. (2021). Survey on Multi-Access Edge Computing Security and Privacy. IEEE Communications Surveys and Tutorials, 23(2), 1078-1124.
Nazir, M., Sabah, A., Sarwar, S., Yaseen, A., & Jurcut, A. (2021). Correction to: Power and Resource Allocation in Wireless Communication Network (Wireless Personal Communications, (2021), 119, 4, (3529-3552), 10.1007/s11277-021-08419-x). Wireless Personal Communications, 119(4), 3553.
Nazir, M., Sabah, A., Sarwar, S., Yaseen, A., & Jurcut, A. (2021). Power and Resource Allocation in Wireless Communication Network. Wireless Personal Communications, 119(4), 3529-3552.
Professor Mark Keane
Kenny, E. M., & Keane, M. T. (2021). On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. Thirty-Fifth AAAI Conference on Artificial Intelligence.
Kenny, E. M., Delaney, E. D., Greene, D., & Keane, M. T. (2021). Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12663 LNCS, 20-34.
Temraz, M., Kenny, E. M., Ruelle, E., Shalloo, L., Smyth, B., & Keane, M. T. (2021). Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12877 LNAI, 216-231.
Quinn, M. S., Campbell, K., & Keane, M. T. (2021). Do we “fear for the worst” or “Hope for the best” in thinking about the unexpected?: Factors affecting the valence of unexpected outcomes reported for everyday scenarios. Cognition, 208.
Quinn, M. S., & Keane, M. T. (2021). Three datasets reporting unexpected events for everyday scenarios: Over 9000 events human-labelled for overall valence/sentiment, topic category, and relationship to the initial goal of the scenario.. Data in brief, 35, 106935.
Kenny, E. M., Ford, C., Quinn, M., & Keane, M. T. (2021). Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies. Artificial Intelligence, 294.
Keane, M. T., Kenny, E. M., Delaney, E., & Smyth, B. (2021). If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence.
Professor Mohand Tahar Kechadi
Tran, N. H., Le-Khac, N. A., & Kechadi, M. T. (2020). Lightweight privacy-Preserving data classification. Computers and Security, 97.
Sadeg, S., Hamdad, L., Chettab, H., Benatchba, K., Habbas, Z., & Kechadi, M. T. (2020). Feature selection based bee swarm meta-heuristic approach for combinatorial optimisation problems: a case-study on MaxSAT. Memetic Computing, 12(4), 283-298.
O’Donnell, S., Doyle, G., O’Malley, G., Browne, S., O’Connor, J., Mars, M., & Kechadi, M. T. M. (2020). Establishing consensus on key public health indicators for the monitoring and evaluating childhood obesity interventions: a Delphi panel study. BMC Public Health, 20(1).
Azzi, Y., Moussaoui, A., & Kechadi, M. -T. (2020) Semantic Segmentation of Medical Images with Deep Learning: Overview. Medical Technologies Journal, 4(3), 568-575.
Salhi, D. E., Tari, A., & Kechadi, M. T. (2021). Using Clustering for Forensics Analysis on Internet of Things. International Journal of Software Science and Computational Intelligence, 13(1), 56-71.
Fehis, S., Nouali, O., & Kechadi, M. T. (2021). Encryption key management as a trusted security as a service for cloud computing. International Journal of Security and Networks, 16(3), 150-162.
Ngo, V. M., Helmer, S., Le-Khac, N. A., & Kechadi, M. T. (2021). Structural textile pattern recognition and processing based on hypergraphs. Information Retrieval Journal, 24(2), 137-173.
Shahid, A., Nguyen, T. A. N., & Kechadi, M. T. (2021). Big data warehouse for healthcare-sensitive data applications. Sensors, 21(7).
Belcastro, L., Kechadi, M. T., Marozzo, F., Pastore, L., Talia, D., & Trunfio, P. (2021). Parallel extraction of Regions-of-Interest from social media data. Concurrency and Computation: Practice and Experience, 33(8).
Ngo, V. M., & Kechadi, M. T. (2021). Electronic farming records – A framework for normalising agronomic knowledge discovery. Computers and Electronics in Agriculture, 184.

Dr Hamidreza Khaleghzadeh
Khaleghzadeh, H., Fahad, M., Reddy Manumachu, R., & Lastovetsky, A. (2020). A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms. Concurrency and Computation: Practice and Experience, 32(21).
Khaleghzadeh, H., Fahad, M., Shahid, A., Manumachu, R. R., & Lastovetsky, A. (2021). Bi-objective optimization of data-parallel applications on heterogeneous hpc platforms for performance and energy through workload distribution. IEEE Transactions on Parallel and Distributed Systems, 32(3), 543-560.
Assoc Professor Alexey Lastovetsky
Khaleghzadeh, H., Fahad, M., Reddy Manumachu, R., & Lastovetsky, A. (2020). A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms. Concurrency and Computation: Practice and Experience, 32(21).
Nuriyev, E., & Lastovetsky, A. (2021). Efficient and Accurate Selection of Optimal Collective Communication Algorithms Using Analytical Performance Modeling. IEEE Access, 9, 109355-109373.
Shahid, A., Fahad, M., Manumachu, R. R., & Lastovetsky, A. (2021). Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors. IEEE Access, 9, 63149-63172.
Malik, T., & Lastovetsky, A. (2021). Towards Optimal Matrix Partitioning for Data Parallel Computing on a Hybrid Heterogeneous Server. IEEE Access, 9, 17229-17244.
Khaleghzadeh, H., Fahad, M., Shahid, A., Manumachu, R. R., & Lastovetsky, A. (2021). Bi-objective optimization of data-parallel applications on heterogeneous hpc platforms for performance and energy through workload distribution. IEEE Transactions on Parallel and Distributed Systems, 32(3), 543-560.
Shahid, A., Fahad, M., Manumachu, R. R., & Lastovetsky, A. (2021). Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables. Journal of Parallel and Distributed Computing, 151, 38-51.
Dr Aonghus Lawlor
Berndsen, J., Lawlor, A., & Smyth, B. (2020). Exploring the wall in marathon running. Journal of Sports Analytics, 6(3), 173-186.
Kelly, B., Judge, C., Bollard, S. M., Clifford, S. M., Healy, G. M., Yeom, K. W., et al. (2020). Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol. Insights into Imaging, 11(1).
Smyth, B., Lawlor, A., Berndsen, J., & Feely, C. (2021). Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. User Modeling and User-Adapted Interaction.
Shi, B., Tragos, E. Z., Ozsoy, M. G., Dong, R., Hurley, N., Smyth, B., & Lawlor, A. (2021). DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access, 9, 83340-83354.
Ouyang, S., & Lawlor, A. (2021). Improving Explainable Recommendations by Deep Review-Based Explanations. IEEE Access, 9, 67444-67455.
McCarthy, N., Dahlan, A., Cook, T. S., Hare, N. O., Ryan, M. L., St John, B., et al. (2021). Enterprise imaging and big data: A review from a medical physics perspective. Physica Medica, 83, 206-220.
Dr Nhien An Le Khac
Hayes, D., Cappa, F., & Le-Khac, N. A. (2020). An effective approach to mobile device management: Security and privacy issues associated with mobile applications. Digital Business, 1(1), 100001.
Tran, N. H., Le-Khac, N. A., & Kechadi, M. T. (2020). Lightweight privacy-Preserving data classification. Computers and Security, 97.
Said Elsayed, M., Le-Khac, N. A., & Jurcut, A. D. (2021). Dealing with COVID-19 network traffic spikes. IEEE Security and Privacy, 19(1), 90-94.
Sayakkara, A. P., & Le-Khac, N. A. (2021). Electromagnetic Side-Channel Analysis for IoT Forensics: Challenges, Framework, and Datasets. IEEE Access, 9, 113585-113598.
Sayakkara, A. P., & Le-Khac, N. A. (2021). Forensic insights from smartphones through electromagnetic side-channel analysis. IEEE Access, 9, 13237-13247.
Schipper, G. C., Seelt, R., & Le-Khac, N. A. (2021). Forensic analysis of Matrix protocol and Riot.im application. Forensic Science International: Digital Investigation, 36.
Ngo, V. M., Helmer, S., Le-Khac, N. A., & Kechadi, M. T. (2021). Structural textile pattern recognition and processing based on hypergraphs. Information Retrieval Journal, 24(2), 137-173.
Anda, F., Dixon, E., Bou-Harb, E., Le-Khac, N. A., & Scanlon, M. (2021). Vec2UAge: Enhancing underage age estimation performance through facial embeddings. Forensic Science International: Digital Investigation, 36.
Sester, J., Hayes, D., Scanlon, M., & Le-Khac, N. A. (2021). A comparative study of support vector machine and neural networks for file type identification using n-gram analysis. Forensic Science International: Digital Investigation, 36.
Serhal, C., & Le-Khac, N. A. (2021). Machine learning based approach to analyze file meta data for smart phone file triage. Forensic Science International: Digital Investigation, 37.
Dr David Lillis
Li, T., Wang, S., Lillis, D., & Yang, Z. (2020). Combining machine learning and logical reasoning to improve requirements traceability recovery. Applied Sciences (Switzerland), 10(20), 1-23.
Dr Madhusanka Liyanage
Braeken, A., Liyanage, M., Kanhere, S. S., & Dixit, S. (2020). Blockchain and Cyberphysical Systems. Computer, 53(9), 31-35.
Siriwardhana, Y., Porambage, P., Ylianttila, M., & Liyanage, M. (2020). Performance Analysis of Local 5G Operator Architectures for Industrial Internet. IEEE Internet of Things Journal, 7(12), 11559-11575.
Gur, G., Porambage, P., & Liyanage, M. (2020). Convergence of ICN and MEC for 5G: Opportunities and Challenges. IEEE Communications Standards Magazine, 4(4), 64-71.
Weerasinghe, N., Hewa, T., Liyanage, M., Kanhere, S. S., & Ylianttila, M. (2021). A Novel Blockchain-as-a-Service (BaaS) Platform for Local 5G Operators. IEEE Open Journal of the Communications Society, 2, 575-601.
Porambage, P., Gur, G., Osorio, D. P. M., Liyanage, M., Gurtov, A., & Ylianttila, M. (2021). The Roadmap to 6G Security and Privacy. IEEE Open Journal of the Communications Society, 2, 1094-1122.
Hewa, T. M., Hu, Y., Liyanage, M., Kanhare, S. S., & Ylianttila, M. (2021). Survey on Blockchain-Based Smart Contracts: Technical Aspects and Future Research. IEEE Access, 9, 87643-87662.
Shabisha, P., Sandeepa, C., Moremada, C., Dissanayaka, N., Gamage, T., Braeken, A., et al. (2021). Security Enhanced Emergency Situation Detection System for Ambient Assisted Living. IEEE Open Journal of the Computer Society, 2, 241-259.
Alwis, C. D., Kalla, A., Pham, Q. -V., Kumar, P., Dev, K., Hwang, W. -J., & Liyanage, M. (2021). Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research. IEEE Open Journal of the Communications Society, 2, 836-886.
Manzoor, A., Braeken, A., Kanhere, S. S., Ylianttila, M., & Liyanage, M. (2021). Proxy re-encryption enabled secure and anonymous IoT data sharing platform based on blockchain. Journal of Network and Computer Applications, 176.
Ranaweera, P., Liyanage, M., & Jurcut, A. D. (2021). Novel MEC Based Approaches for Smart Hospitals to Combat COVID-19 Pandemic. IEEE Consumer Electronics Magazine, 10(2), 80-91.
Hewa, T., Ylianttila, M., & Liyanage, M. (2021). Survey on blockchain based smart contracts: Applications, opportunities and challenges. Journal of Network and Computer Applications, 177.
Wijethilaka, S., & Liyanage, M. (2021). Survey on Network Slicing for Internet of Things Realization in 5G Networks. IEEE Communications Surveys and Tutorials, 23(2), 957-994.
Ranaweera, P., Jurcut, A. D., & Liyanage, M. (2021). Survey on Multi-Access Edge Computing Security and Privacy. IEEE Communications Surveys and Tutorials, 23(2), 1078-1124.
Siriwardhana, Y., Porambage, P., Liyanage, M., & Ylianttila, M. (2021). A Survey on Mobile Augmented Reality with 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects. IEEE Communications Surveys and Tutorials, 23(2), 1160-1192.
Ahmed, A., Rasheed, H., & Liyanage, M. (2021). Millimeter-wave channel modeling in a vehicular ad-hoc network using bose–chaudhuri–hocquenghem (Bch) code. Electronics (Switzerland), 10(9).
Mishra, R. A., Kalla, A., Braeken, A., & Liyanage, M. (2021). Privacy Protected Blockchain Based Architecture and Implementation for Sharing of Students’ Credentials. Information Processing and Management, 58(3).
Braeken, A., & Liyanage, M. (2021). Highly efficient key agreement for remote patient monitoring in MEC-enabled 5G networks. Journal of Supercomputing, 77(6), 5562-5585.
Siriwardhana, Y., Gür, G., Ylianttila, M., & Liyanage, M. (2021). The role of 5G for digital healthcare against COVID-19 pandemic: Opportunities and challenges. ICT Express, 7(2), 244-252.
Liyanage, M., Porambage, P., Ding, A. Y., & Kalla, A. (2021). Driving forces for Multi-Access Edge Computing (MEC) IoT integration in 5G. ICT Express, 7(2), 127-137.
Yapa, C., de Alwis, C., & Liyanage, M. (2021) Can Blockchain Strengthen the Energy Internet?. Network, 1(2), 95-115.
Maddikunta, P. K. R., Pham, Q. -V., B, P., Deepa, N., Dev, K., Gadekallu, T. R., et al. (2021). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 100257.
Assoc Professor Brian Mac Namee
Keogh, A., Sett, N., Donnelly, S., Mullan, R., Gheta, D., Maher-Donnelly, M., et al. (2020). A Thorough Examination of Morning Activity Patterns in Adults with Arthritis and Healthy Controls Using Actigraphy Data. Digital Biomarkers, 4(3), 78-88.
Alghamdi, E., Rushe, E., Mac Namee, B., & Greene, D. (2020). Overlapping community finding with noisy pairwise constraints. Applied Network Science, 5(1).
Lu, J., Henchion, M., Bacher, I., & Namee, B. M. (2021). A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12986 LNAI, 231-241.
Zhao, L., Chen, K., Song, J., Zhu, X., Sun, J., Caulfield, B., & Namee, B. M. (2021). Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data. IEEE Access, 9, 5453-5465.
Ms Tania Malik
Malik, T., & Lastovetsky, A. (2021). Towards Optimal Matrix Partitioning for Data Parallel Computing on a Hybrid Heterogeneous Server. IEEE Access, 9, 17229-17244.
Professor Eleni Mangina
Shamsi, M. H., Ali, U., Mangina, E., & O'Donnell, J. (2020). A framework for uncertainty quantification in building heat demand simulations using reduced-order grey-box energy models. Applied Energy, 275.
Saffari, N., Rashwan, H. A., Abdel-Nasser, M., Singh, V. K., Arenas, M., Mangina, E., et al. (2020). Fully automated breast density segmentation and classification using deep learning. Diagnostics, 10(11).
Kathirgamanathan, A., Twardowski, K., Mangina, E., & Finn, D. P. (2020). A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn. RLEM 2020 - Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings and Cities, 11-14.
Ali, U., Shamsi, M. H., Bohacek, M., Purcell, K., Hoare, C., Mangina, E., & O'Donnell, J. (2020). A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making. Applied Energy, 279.
Kathirgamanathan, A., De Rosa, M., Mangina, E., & Finn, D. P. (2021). Data-driven predictive control for unlocking building energy flexibility: A review. Renewable and Sustainable Energy Reviews, 135.
Scaradozzi, D., Cesaretti, L., Screpanti, L., & Mangina, E. (2021). Identification and Assessment of Educational Experiences: Utilizing Data Mining With Robotics. IEEE Robotics and Automation Magazine.
Bampoulas, A., Saffari, M., Pallonetto, F., Mangina, E., & Finn, D. P. (2021). A fundamental unified framework to quantify and characterise energy flexibility of residential buildings with multiple electrical and thermal energy systems. Applied Energy, 282.
Xu, X., Mangina, E., & Campbell, A. G. (2021) HMD-Based Virtual and Augmented Reality in Medical Education: A Systematic Review. Frontiers in Virtual Reality, 2.
Dr Ravi Manumachu
Khaleghzadeh, H., Fahad, M., Reddy Manumachu, R., & Lastovetsky, A. (2020). A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms. Concurrency and Computation: Practice and Experience, 32(21).
Shahid, A., Fahad, M., Manumachu, R. R., & Lastovetsky, A. (2021). Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors. IEEE Access, 9, 63149-63172.
Khaleghzadeh, H., Fahad, M., Shahid, A., Manumachu, R. R., & Lastovetsky, A. (2021). Bi-objective optimization of data-parallel applications on heterogeneous hpc platforms for performance and energy through workload distribution. IEEE Transactions on Parallel and Distributed Systems, 32(3), 543-560.
Shahid, A., Fahad, M., Manumachu, R. R., & Lastovetsky, A. (2021). Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables. Journal of Parallel and Distributed Computing, 151, 38-51.
Professor Joao Marques-Silva
Gibert, D., Mateu, C., Planes, J., & Marques-Silva, J. (2021). Auditing static machine learning anti-Malware tools against metamorphic attacks. Computers and Security, 102.
Dr Claudia Mazo Vargas
ESMRMB 2020 Online, 37th Annual Scientific Meeting, September 30-October 2: Lightning Talks / Electronic Posters / Clinical Review Posters / Software Exhibits. (2020). Magma (New York, N.Y.), 33(Suppl 1), 69-233.
Mazo, C., Alegre, E., & Trujillo, M. (2020). Using an ontology of the human cardiovascular system to improve the classification of histological images. Scientific Reports, 10(1).
Antoniadi, A. M., Du, Y., Guendouz, Y., Wei, L., Mazo, C., Becker, B. A., & Mooney, C. (2021). Current challenges and future opportunities for xai in machine learning-based clinical decision support systems: A systematic review. Applied Sciences (Switzerland), 11(11).
Perez, J., Mazo, C., Trujillo, M., & Herrera, A. (2021). Mri and ct fusion in stereotactic electroencephalography: A literature review. Applied Sciences (Switzerland), 11(12).
Fitzgerald, J., Higgins, D., Mazo Vargas, C., Watson, W., Mooney, C., Rahman, A., et al. (2021). Future of biomarker evaluation in the realm of artificial intelligence algorithms: Application in improved therapeutic stratification of patients with breast and prostate cancer. Journal of Clinical Pathology, 74(7), 429-434.
Dr Gavin McArdle
Iddianozie, C., & McArdle, G. (2020). Improved graph neural networks for spatial networks using structure-aware sampling. ISPRS International Journal of Geo-Information, 9(11).
Hafeez, T., Xu, L., & McArdle, G. (2021). Edge intelligence for data handling and predictive maintenance in IIoT. IEEE Access, 9, 49355-49371.
Rabiei-Dastjerdi, H., McArdle, G., Matthews, S. A., & Keenan, P. (2021). Gap analysis in decision support systems for real-estate in the era of the digital earth. International Journal of Digital Earth, 14(1), 121-138.
Rabiei-Dastjerdi, H., & McArdle, G. (2021). Novel exploratory spatiotemporal analysis to identify sociospatial patterns at small areas using property transaction data in dublin. Land, 10(6).
Alghanim, A., Jilani, M., Bertolotto, M., & McArdle, G. (2021). Leveraging road characteristics and contributor behaviour for assessing road type quality in osm. ISPRS International Journal of Geo-Information, 10(7).
Iddianozie, C., & McArdle, G. (2021). Towards robust representations of spatial networks using graph neural networks. Applied Sciences (Switzerland), 11(15).
Assoc Professor Catherine Mooney
Casey, S., Goasdoue, K., Miller, S. M., Brennan, G. P., Cowin, G., O’Mahony, A. G., et al. (2020). Temporally Altered miRNA Expression in a Piglet Model of Hypoxic Ischemic Brain Injury. Molecular Neurobiology, 57(10), 4322-4344.
Brennan, G. P., Bauer, S., Engel, T., Jimenez-Mateos, E. M., Del Gallo, F., Hill, T. D. M., et al. (2020). Genome-wide microRNA profiling of plasma from three different animal models identifies biomarkers of temporal lobe epilepsy.. Neurobiology of disease, 144, 105048.
Wei, L., Ventura, S., Mathieson, S., Boylan, G., Lowery, M., & Mooney, C. (2021). Spindle-AI: Sleep spindle number and duration estimation in infant EEG. IEEE Transactions on Biomedical Engineering.
Nguyen, T. N. Q., Maguire, A., Mooney, C., Jackson, N., Lynam-Lennon, N., Weldon, V., et al. (2021). Prediction of pathological response to neo-adjuvant chemoradiotherapy for oesophageal cancer using vibrational spectroscopy. Translational Biophotonics, 3(1).
Antoniadi, A. M., Galvin, M., Heverin, M., Hardiman, O., & Mooney, C. (2021). Prediction of quality of life in people with ALS. ACM SIGAPP Applied Computing Review, 21(2), 5-17.
Antoniadi, A. M., Du, Y., Guendouz, Y., Wei, L., Mazo, C., Becker, B. A., & Mooney, C. (2021). Current challenges and future opportunities for xai in machine learning-based clinical decision support systems: A systematic review. Applied Sciences (Switzerland), 11(11).
Reschke, C. R., Silva, L. F. A., Vangoor, V. R., Rosso, M., David, B., Cavanagh, B. L., et al. (2021). Systemic delivery of antagomirs during blood-brain barrier disruption is disease-modifying in experimental epilepsy. Molecular Therapy, 29(6), 2041-2052.
Mooney, C., O'Boyle, D., Finder, M., Hallberg, B., Walsh, B. H., Henshall, D. C., et al. (2021). Predictive modelling of hypoxic ischaemic encephalopathy risk following perinatal asphyxia.. Heliyon, 7(7), e07411.
Fitzgerald, J., Higgins, D., Mazo Vargas, C., Watson, W., Mooney, C., Rahman, A., et al. (2021). Future of biomarker evaluation in the realm of artificial intelligence algorithms: Application in improved therapeutic stratification of patients with breast and prostate cancer. Journal of Clinical Pathology, 74(7), 429-434.
Professor John Murphy
Chen, X., Cheng, L., Liu, C., Liu, Q., Liu, J., Mao, Y., & Murphy, J. (2020). A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems. IEEE Systems Journal, 14(3), 3117-3128.
Cheng, L., Wang, Y., Liu, Q., Epema, D. H. J., Liu, C., Mao, Y., & Murphy, J. (2021). Network-aware locality scheduling for distributed data operators in data centers. IEEE Transactions on Parallel and Distributed Systems, 32(6), 1494-1510.
Dr Vivek Nallur
Nallur, V. (2020). Landscape of Machine Implemented Ethics. Science and Engineering Ethics, 26(5), 2381-2399.
Nallur, V., & Ramanayake, R. (2021). Pro-Social Rule Breaking as a Benchmark of Ethical Intelligence in Socio-Technical Systems. Journal of Philosophy and Technology.
Nallur, V., & NiFhaolain, L. (2021). Utilising Statutory Professions in AI Regulation. Journal of Philosophy and Technology.
Assoc Professor Mel Ó Cinnéide
Alizadeh, V., Kessentini, M., Mkaouer, M. W., Ocinneide, M., Ouni, A., & Cai, Y. (2020). An Interactive and Dynamic Search-Based Approach to Software Refactoring Recommendations. IEEE Transactions on Software Engineering, 46(9), 932-961.
Moghadam, I. H., Cinneide, M. O., Zarepour, F., & Jahanmir, M. A. (2021). RefDetect: A Multi-Language Refactoring Detection Tool Based on String Alignment. IEEE Access, 9, 86698-86727.
Dr Michael O'Grady
Byrne, C. A., O’grady, M., Collier, R., & O’hare, G. M. P. (2020). An evaluation of graphical formats for the summary of activities of daily living (Adls). Healthcare (Switzerland), 8(3).
Ye, J., O'Grady, M., & Banos, O. (2020). Sensor Technology for Smart Homes.. Sensors (Basel, Switzerland), 20(24).
Wan, J., Li, M., O'Grady, M. J., Gu, X., Alawlaqi, M. A. A. H., & O'Hare, G. M. P. (2021). Time-Bounded Activity Recognition for Ambient Assisted Living. IEEE Transactions on Emerging Topics in Computing, 9(1), 471-483.
Murdoch, O., O'Grady, M. J., & O'Hare, G. (2021). A cyber sensor model for cyber- physical-social systems. International Journal of Agricultural and Environmental Information Systems, 12(1), 80-94.
Torresan, C., Benito Garzón, M., O'Grady, M., Robson, T. M., Picchi, G., Panzacchi, P., et al. (2021). A new generation of sensors and monitoring tools to support climate-smart forestry practices. Canadian Journal of Forest Research.
O'Grady, M., Langton, D., Salinari, F., Daly, P., & O'Hare, G. (2021). Service design for climate-smart agriculture. Information Processing in Agriculture, 8(2), 328-340.
Professor Gregory O'Hare
Byrne, C. A., O’grady, M., Collier, R., & O’hare, G. M. P. (2020). An evaluation of graphical formats for the summary of activities of daily living (Adls). Healthcare (Switzerland), 8(3).
Zhang, T., Ma, F., Yue, D., Peng, C., O'Hare, G. M. P., & Ma, F. (2020). Interval Type-2 Fuzzy Local Enhancement Based Rough K-Means Clustering Considering Imbalanced Clusters. IEEE Transactions on Fuzzy Systems, 28(9), 1925-1939.
Reynolds, L. J., Sala-Comorera, L., Martin, N. A., Nolan, T. M., Stephens, J. H., Gitto, A., et al. (2020). Correlation between antimicrobial resistance and faecal contamination in small urban streams and bathing waters. Science of the Total Environment, 739.
Byabazaire, J., O’hare, G., & Delaney, D. (2020). Data quality and trust: Review of challenges and opportunities for data sharing in IoT. Electronics (Switzerland), 9(12), 1-22.
Wan, J., Li, M., O'Grady, M. J., Gu, X., Alawlaqi, M. A. A. H., & O'Hare, G. M. P. (2021). Time-Bounded Activity Recognition for Ambient Assisted Living. IEEE Transactions on Emerging Topics in Computing, 9(1), 471-483.
Rasti, S., Bleakley, C. J., Holden, N. M., Whetton, R., Langton, D., & O'Hare, G. (2021). A survey of high resolution image processing techniques for cereal crop growth monitoring. Information Processing in Agriculture.
Murdoch, O., O'Grady, M. J., & O'Hare, G. (2021). A cyber sensor model for cyber- physical-social systems. International Journal of Agricultural and Environmental Information Systems, 12(1), 80-94.
Rasti, S., Bleakley, C. J., Silvestre, G. C. M., Holden, N. M., Langton, D., & O’Hare, G. M. P. (2021). Crop growth stage estimation prior to canopy closure using deep learning algorithms. Neural Computing and Applications, 33(5), 1733-1743.
O'Grady, M., Langton, D., Salinari, F., Daly, P., & O'Hare, G. (2021). Service design for climate-smart agriculture. Information Processing in Agriculture, 8(2), 328-340.
Reynolds, L. J., Martin, N. A., Sala-Comorera, L., Callanan, K., Doyle, P., O’Leary, C., et al. (2021). Identifying Sources of Faecal Contamination in a Small Urban Stream Catchment: A Multiparametric Approach. Frontiers in Microbiology, 12.
Sala-Comorera, L., Nolan, T. M., Reynolds, L. J., Venkatesh, A., Cheung, L., Martin, N. A., et al. (2021). Bacterial and Bacteriophage Antibiotic Resistance in Marine Bathing Waters in Relation to Rivers and Urban Streams. Frontiers in Microbiology, 12.
Dr Liliana Pasquale
Azzam, M., Pasquale, L., Provan, G., & Nuseibeh, B. (2021). Grounds for Suspicion: Physics-based Early Warnings for Stealthy Attacks on Industrial Control Systems. IEEE Transactions on Dependable and Secure Computing.
Dr Muhammad Salman Pathan
Hussain, M. I., He, J., Zhu, N., Ali Zardari, Z., Razque, F., Hussain, S., & Pathan, M. S. (2021). An archetype for mitigating the security threats in multi-cloud environment by implementing tree-based next-generation firewalls. Journal of Intelligent and Fuzzy Systems, 41(1), 125-136.
Liu, Y., Zhang, J., Wu, S., & Pathan, M. S. (2021). Research on digital copyright protection based on the hyperledger fabric blockchain network technology. PeerJ Computer Science, 7, 1-26.
Du, Y., Li, T., Pathan, M. S., Teklehaimanot, H. K., & Yang, Z. (2021). An Effective Sarcasm Detection Approach Based on Sentimental Context and Individual Expression Habits. Cognitive Computation.
Wang, H., Pathan, M. S., & Dev, S. (2021). Stereo matching based on visual sensitive information. 2021 6th International Conference on Image, Vision and Computing, ICIVC 2021, 312-316.
Memon, M. Q., Lu, Y., Chen, P., Memon, A., Pathan, M. S., & Zardari, Z. A. (2021). An ensemble clustering approach for topic discovery using implicit text segmentation. Journal of Information Science, 47(4), 431-457.
Assoc Professor Gianluca Pollastri
Walsh, I., Fishman, D., Garcia-Gasulla, D., Titma, T., Pollastri, G., Capriotti, E., et al. (2021). Author Correction: DOME: recommendations for supervised machine learning validation in biology (Nature Methods, (2021), 10.1038/s41592-021-01205-4). Nature Methods.
Dr Claudette Pretorius
Tadas, S., Pretorius, C., Foster, E. J., Gorely, T., Leslie, S. J., & Coyle, D. (2021). Transitions in technology-mediated cardiac rehabilitation and self-management: Qualitative study using the theoretical domains framework. JMIR Cardio, 5(2).
Hamidreza Rabiei Dastjerdi
Salvati, L., Benassi, F., Miccoli, S., Rabiei-Dastjerdi, H., & Matthews, S. A. (2020). Spatial variability of total fertility rate and crude birth rate in a low-fertility country: Patterns and trends in regional and local scale heterogeneity across Italy, 2002–2018. Applied Geography, 124.
Rabiei-Dastjerdi, H., & McArdle, G. (2021). Novel exploratory spatiotemporal analysis to identify sociospatial patterns at small areas using property transaction data in dublin. Land, 10(6).
Rabiei-Dastjerdi, H., McArdle, G., Matthews, S. A., & Keenan, P. (2021). Gap analysis in decision support systems for real-estate in the era of the digital earth. International Journal of Digital Earth, 14(1), 121-138.
Rabiei-Dastjerdi, H., & Matthews, S. A. (2021). Who gets what, where, and how much? Composite index of spatial inequality for small areas in Tehran. Regional Science Policy and Practice, 13(1), 191-205.
Rabiei-Dastjerdi, H., Zarghani, S. H., Azami, H., Heydari, A., Janparvar, M., & Jafari, F. (2021). Spatial distribution of regional infrastructures in the northeast of Iran using GIS and Mic Mac observation (A case of Khorasan Razavi province). Heliyon, 7(6).
Dr Abdul Rehman
Amin, A., Basri, S., Rahman, M., Capretz, L. F., Akbar, R., Gilal, A. R., & Shabbir, M. F. (2020). The impact of personality traits and knowledge collection behavior on programmer creativity. Information and Software Technology, 128.
Alshanqiti, A., Namoun, A., Alsughayyir, A., Mashraqi, A. M., Gilal, A. R., & Albouq, S. S. (2021). Leveraging DistilBERT for Summarizing Arabic Text: An Extractive Dual-Stage Approach. IEEE Access, 9, 135594-135607.
Inayat, M., Sulaiman, S. A., Inayat, A., Shaik, N. B., Gilal, A. R., & Shahbaz, M. (2021). Modeling and parametric optimization of air catalytic co-gasification of wood-oil palm fronds blend for clean syngas (H<inf>2</inf>+CO) production. International Journal of Hydrogen Energy, 46(59), 30559-30580.
Ms Lucile Riaboff
Riaboff, L., Relun, A., Petiot, C. E., Feuilloy, M., Couvreur, S., & Madouasse, A. (2021). Identification of discriminating behavioural and movement variables in lameness scores of dairy cows at pasture from accelerometer and GPS sensors using a Partial Least Squares Discriminant Analysis. Preventive Veterinary Medicine, 193.
Dr Colm Ryan
Kennedy, S. A., Jarboui, M. A., Srihari, S., Raso, C., Bryan, K., Dernayka, L., et al. (2020). Extensive rewiring of the EGFR network in colorectal cancer cells expressing transforming levels of KRAS<sup>G13D</sup>. Nature Communications, 11(1).
Novácek, V., McGauran, G., Matallanas, D., Blanco, A. V., Conca, P., Muñoz, E., et al. (2020). Accurate prediction of kinase-substrate networks using knowledge graphs. PLoS Computational Biology, 16(12).
Kegel, B. D., Quinn, N., Thompson, N., Adams, D., & Ryan, C. (2020). Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell lines.
Marcone, S., Buckley, A., Ryan, C. J., McCabe, M., Lynam-Lennon, N., Matallanas, D., et al. (2021). Proteomic signatures of radioresistance: Alteration of inflammation, angiogenesis and metabolism-related factors in radioresistant oesophageal adenocarcinoma. Cancer Treatment and Research Communications, 27.
Parkhitko, A. A., Singh, A., Hsieh, S., Hu, Y., Binari, R., Lord, C. J., et al. (2021). Cross-species identification of PIP5K1-, splicing- And ubiquitin-related pathways as potential targets for RB1-deficient cells. PLoS Genetics, 17(2).
Dr Takfarinas Saber
Saber, T., Brevet, D., Botterweck, G., & Ventresque, A. (2021). Reparation in Evolutionary Algorithms for Multi-objective Feature Selection in Large Software Product Lines. SN Computer Science, 2(3).
De Lombaerde, P., Naeher, D., & Saber, T. (2021). Regional integration clusters and optimum customs unions: A machine-learning approach. Journal of Economic Integration, 36(2), 262-281.
Dr Mark Scanlon
Kanta, A., Coisel, I., & Scanlon, M. (2020). A survey exploring open source Intelligence for smarter password cracking. Forensic Science International: Digital Investigation, 35.
Du, X., Hargreaves, C., Sheppard, J., & Scanlon, M. (2021). TraceGen: User Activity Emulation for Digital Forensic Test Image Generation. Forensic Science International: Digital Investigation.
Sester, J., Hayes, D., Scanlon, M., & Le-Khac, N. A. (2021). A comparative study of support vector machine and neural networks for file type identification using n-gram analysis. Forensic Science International: Digital Investigation, 36.
Anda, F., Dixon, E., Bou-Harb, E., Le-Khac, N. A., & Scanlon, M. (2021). Vec2UAge: Enhancing underage age estimation performance through facial embeddings. Forensic Science International: Digital Investigation, 36.
Kanta, A., Coray, S., Coisel, I., & Scanlon, M. (2021). How viable is password cracking in digital forensic investigation? Analyzing the guessability of over 3.9 billion real-world accounts. Forensic Science International: Digital Investigation, 37.
Assoc Professor Guenole Silvestre
Rasti, S., Bleakley, C. J., Silvestre, G. C. M., Holden, N. M., Langton, D., & O’Hare, G. M. P. (2021). Crop growth stage estimation prior to canopy closure using deep learning algorithms. Neural Computing and Applications, 33(5), 1733-1743.
Professor Barry Smyth
Berndsen, J., Lawlor, A., & Smyth, B. (2020). Exploring the wall in marathon running. Journal of Sports Analytics, 6(3), 173-186.
Smyth, B., & Muniz-Pumares, D. (2020). Calculation of Critical Speed from Raw Training Data in Recreational Marathon Runners. Medicine and Science in Sports and Exercise, 52(12), 2637-2645.
Smyth, B. (2020). Lockdowns & Rebounds. Digital Government: Research and Practice, 1(4), 1-7.
Smyth, B., Lawlor, A., Berndsen, J., & Feely, C. (2021). Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. User Modeling and User-Adapted Interaction.
Smyth, B., & Lawlor, A. (2021). Longer Disciplined Tapers Improve Marathon Performance for Recreational Runners.. Frontiers in sports and active living, 3, 735220.
Temraz, M., Kenny, E. M., Ruelle, E., Shalloo, L., Smyth, B., & Keane, M. T. (2021). Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12877 LNAI, 216-231.
Shi, B., Tragos, E. Z., Ozsoy, M. G., Dong, R., Hurley, N., Smyth, B., & Lawlor, A. (2021). DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access, 9, 83340-83354.
Smyth, B. (2021). Estimating the Fatality Burden of SARS-CoV2. Digital Government: Research and Practice, 2(2), 1-8.
Smyth, B. (2021). How recreational marathon runners hit the wall: A large-scale data analysis of late-race pacing collapse in the marathon. PLoS ONE, 16(5 May).
Smyth, B. (2021) Estimating Exposure Risk to Guide Behaviour During the SARS-COV2 Pandemic. Frontiers in Digital Health, 3.
Keane, M. T., Kenny, E. M., Delaney, E., & Smyth, B. (2021). If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence.
Dr Elias Tragos
Shi, B., Tragos, E. Z., Ozsoy, M. G., Dong, R., Hurley, N., Smyth, B., & Lawlor, A. (2021). DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access, 9, 83340-83354.
Assoc Professor Tony Veale
Wicke, P., & Veale, T. (2020). The Show Must Go On: On the Use of Embodiment, Space and Gesture in Computational Storytelling. New Generation Computing, 38(4), 565-592.
Veale, T., & Pérez y Pérez, R. (2020). Leaps and Bounds: An Introduction to the Field of Computational Creativity. New Generation Computing, 38(4), 551-563.
Wicke, P., & Veale, T. (2021). Creative Action at a Distance: A Conceptual Framework for Embodied Performance With Robotic Actors. Frontiers in Robotics and AI, 8.
Dr Anthony Ventresque
Razzaq, A., Ventresque, A., Koschke, R., De Lucia, A., & Buckley, J. (2021). The Effect of Feature Characteristics on the Performance of Feature Location Techniques. IEEE Transactions on Software Engineering.
Saber, T., Brevet, D., Botterweck, G., & Ventresque, A. (2021). Reparation in Evolutionary Algorithms for Multi-objective Feature Selection in Large Software Product Lines. SN Computer Science, 2(3).
Dr Lina Xu
Hafeez, T., Xu, L., & McArdle, G. (2021). Edge intelligence for data handling and predictive maintenance in IIoT. IEEE Access, 9, 49355-49371.
Altin, M., Gursoy, F., & Xu, L. (2021). Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think. IEEE Access, 9, 18307-18317.
Konjaang, J. K., & Xu, L. (2021). Meta-heuristic Approaches for Effective Scheduling in Infrastructure as a Service Cloud: A Systematic Review. Journal of Network and Systems Management, 29(2).

Software / Code

Dr Brett Becker
Becker, B., Xu, J., Xu, Z., Feng, X., & Wang, Z. (2020). anonymous-acm (Version 1.0) [Computer Software]. CTAN: The Comprehensive TEX Archive Network: CTAN: The Comprehensive TEX Archive Network. Retrieved from https://ctan.org/

UCD School of Computer Science

UCD School of Computer Science - Research Publications 2020/2021

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UCD School of Computer Science - Research Publications 2020/2021

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