| Cloud forensics K Ruan, J Carthy, T Kechadi, M Crosbie IFIP International Conference on Digital Forensics, 35-46, 2011 | 393 | 2011 |
| Customer churn prediction in telecommunications B Huang, MT Kechadi, B Buckley Expert Systems with Applications 39 (1), 1414-1425, 2012 | 329 | 2012 |
| Implications of LHCb measurements and future prospects A Bharucha, II Bigi, C Bobeth, M Bobrowski, J Brod, AJ Buras, ... The European Physical Journal C 73 (4), 1-92, 2013 | 319 | 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 | 200 | 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 | 198 | 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 | 165 | 2010 |
| Cupcarbon: A multi-agent and discrete event wireless sensor network design and simulation tool K Mehdi, M Lounis, A Bounceur, T Kechadi 7th International ICST Conference on Simulation Tools and Techniques, Lisbon …, 2014 | 113 | 2014 |
| An effective hybrid learning system for telecommunication churn prediction Y Huang, T Kechadi Expert Systems with Applications 40 (14), 5635-5647, 2013 | 111 | 2013 |
| 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 | 88 | 2010 |
| 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 | 82 | 2010 |
| Survey on cloud forensics and critical criteria for cloud forensic capability: A preliminary analysis K Ruan, I Baggili, J Carthy, T Kechadi | 79 | 2011 |
| 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 | 75 | 2018 |
| 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 | 67 | 2018 |
| 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 | 67 | 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 | 65 | 2016 |
| Preprocessing techniques for online handwriting recognition BQ Huang, YB Zhang, MT Kechadi Seventh International Conference on Intelligent Systems Design and …, 2007 | 65 | 2007 |
| Framework TDR for the LHCb upgrade: technical design report I Bediaga, H Chanal, P Hopchev, S Cadeddu, S Stoica, M Calvo Gomez, ... LHCb-TDR-012, 2012 | 62 | 2012 |
| DIALOG: A framework for modeling, analysis and reuse of digital forensic knowledge D Kahvedžić, T Kechadi digital investigation 6, S23-S33, 2009 | 56 | 2009 |
| An ontology-based approach for the reconstruction and analysis of digital incidents timelines Y Chabot, A Bertaux, C Nicolle, T Kechadi Digital Investigation 15, 83-100, 2015 | 52 | 2015 |
| ELM-based spammer detection in social networks X Zheng, X Zhang, Y Yu, T Kechadi, C Rong The Journal of Supercomputing 72 (8), 2991-3005, 2016 | 51 | 2016 |
Nhien-An Le-KhacAssistant Professor, University College DublinVerified email at ucd.ie
