| Customer churn prediction in telecommunications B Huang, MT Kechadi, B Buckley Expert Systems with Applications 39 (1), 1414-1425, 2012 | 521 | 2012 |
| Cloud forensics K Ruan, J Carthy, T Kechadi, M Crosbie IFIP International Conference on Digital Forensics, 35-46, 2011 | 473 | 2011 |
| Implications of LHCb measurements and future prospects LHCb Collaboration TJ Gershon@ warwick. ac. uk, A Bharucha, II Bigi, ... The European Physical Journal C 73 (4), 2373, 2013 | 370 | 2013 |
| Cloud forensics definitions and critical criteria for cloud forensic capability: An overview of survey results K Ruan, J Carthy, T Kechadi, I Baggili Digital investigation 10 (1), 34-43, 2013 | 256 | 2013 |
| Exploratory spatio-temporal data mining and visualization P Compieta, S Di Martino, M Bertolotto, F Ferrucci, T Kechadi Journal of Visual Languages & Computing 18 (3), 255-279, 2007 | 204 | 2007 |
| Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications B Huang, B Buckley, TM Kechadi Expert Systems with Applications 37 (5), 3638-3646, 2010 | 203 | 2010 |
| Cupcarbon: A multi-agent and discrete event wireless sensor network design and simulation tool K Mehdi, M Lounis, A Bounceur, T Kechadi Proceedings of the 7th International ICST Conference on Simulation Tools and …, 2014 | 164 | 2014 |
| Edge-enabled metaverse: The convergence of metaverse and mobile edge computing N Aung, S Dhelim, L Chen, H Ning, L Atzori, T Kechadi Tsinghua Science and Technology 29 (3), 795-805, 2023 | 162* | 2023 |
| Human activity recognition with convolutional neural networks A Bevilacqua, K MacDonald, A Rangarej, V Widjaya, B Caulfield, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 160 | 2018 |
| An effective hybrid learning system for telecommunication churn prediction Y Huang, T Kechadi Expert Systems with Applications 40 (14), 5635-5647, 2013 | 151 | 2013 |
| Internet of things forensics–challenges and a case study S Alabdulsalam, K Schaefer, T Kechadi, NA Le-Khac IFIP International Conference on Digital Forensics, 35-48, 2018 | 148 | 2018 |
| Privacy-aware blockchain innovation for 6G: Challenges and opportunities T Nguyen, N Tran, L Loven, J Partala, MT Kechadi, S Pirttikangas 2020 2nd 6G wireless Summit (6G SUMMIT), 1-5, 2020 | 140 | 2020 |
| Application of data mining for anti-money laundering detection: A case study NA Le Khac, MT Kechadi 2010 IEEE international conference on data mining workshops, 577-584, 2010 | 135 | 2010 |
| Benchmark data contamination of large language models: A survey C Xu, S Guan, D Greene, M Kechadi arXiv preprint arXiv:2406.04244, 2024 | 106 | 2024 |
| A complete formalized knowledge representation model for advanced digital forensics timeline analysis Y Chabot, A Bertaux, C Nicolle, MT Kechadi Digital Investigation 11, S95-S105, 2014 | 105 | 2014 |
| Dimensionality reduction in data mining: A Copula approach R Houari, A Bounceur, MT Kechadi, AK Tari, R Euler Expert Systems with Applications 64, 247-260, 2016 | 99 | 2016 |
| A new feature set with new window techniques for customer churn prediction in land-line telecommunications BQ Huang, TM Kechadi, B Buckley, G Kiernan, E Keogh, T Rashid Expert Systems with Applications 37 (5), 3657-3665, 2010 | 96 | 2010 |
| Survey on cloud forensics and critical criteria for cloud forensic capability: A preliminary analysis K Ruan, I Baggili, J Carthy, T Kechadi | 93 | 2011 |
| Preprocessing techniques for online handwriting recognition BQ Huang, YB Zhang, MT Kechadi Seventh International Conference on Intelligent Systems Design and …, 2007 | 93 | 2007 |
| Data analytics for crop management: a big data view N Chergui, MT Kechadi Journal of Big Data 9 (1), 123, 2022 | 88 | 2022 |
Nhien-An Le-KhacAssociate Professor of Digital Forensics and Cyber Security, University College DublinVerified email at ucd.ie
