| 1d-sax: A novel symbolic representation for time series S Malinowski, T Guyet, R Quiniou, R Tavenard International Symposium on Intelligent Data Analysis, 273-284, 2013 | 123 | 2013 |
| Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks W Wang, T Guyet, R Quiniou, MO Cordier, F Masseglia, X Zhang Knowledge-Based Systems 70, 103-117, 2014 | 113 | 2014 |
| Extracting temporal patterns from interval-based sequences T Guyet, R Quiniou Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 68 | 2011 |
| Knowledge construction from time series data using a collaborative exploration system T Guyet, C Garbay, M Dojat Journal of biomedical informatics 40 (6), 672-687, 2007 | 62 | 2007 |
| Mining temporal patterns with quantitative intervals T Guyet, R Quiniou 2008 IEEE International Conference on Data Mining Workshops, 218-227, 2008 | 60 | 2008 |
| Towards fast detecting intrusions: using key attributes of network traffic W Wang, S Gombault, T Guyet 2008 the third international conference on internet monitoring and …, 2008 | 54 | 2008 |
| New cancer cases at the time of SARS-Cov2 pandemic and related public health policies: a persistent and concerning decrease long after the end of the national lockdown E Kempf, G Lamé, R Layese, S Priou, G Chatellier, H Chaieb, ... European Journal of Cancer 150, 260-267, 2021 | 44 | 2021 |
| Long term analysis of time series of satellite images T Guyet, H Nicolas Pattern Recognition Letters 70, 17-23, 2016 | 41 | 2016 |
| Dense bag-of-temporal-SIFT-words for time series classification A Bailly, S Malinowski, R Tavenard, L Chapel, T Guyet Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop …, 2016 | 39 | 2016 |
| Knowledge-based sequence mining with ASP M Gebser, T Guyet, R Quiniou, J Romero, T Schaub IJCAI 2016-25th International joint conference on artificial intelligence, 8, 2016 | 36 | 2016 |
| Discriminant chronicles mining: Application to care pathways analytics Y Dauxais, T Guyet, D Gross-Amblard, A Happe Artificial Intelligence in Medicine: 16th Conference on Artificial …, 2017 | 34 | 2017 |
| Clustering flood events from water quality time series using Latent Dirichlet Allocation model AH Aubert, R Tavenard, R Emonet, A De Lavenne, S Malinowski, T Guyet, ... Water Resources Research 49 (12), 8187-8199, 2013 | 34 | 2013 |
| NegPSpan: efficient extraction of negative sequential patterns with embedding constraints T Guyet, R Quiniou Data Mining and Knowledge Discovery 34, 563-609, 2020 | 32* | 2020 |
| Bag-of-temporal-sift-words for time series classification A Bailly, S Malinowski, R Tavenard, T Guyet, L Chapel ECML/PKDD workshop on advanced analytics and learning on temporal data, 2015 | 24 | 2015 |
| Monitoring of grassland productivity using Sentinel-2 remote sensing data P Dusseux, T Guyet, P Pattier, V Barbier, H Nicolas International Journal of Applied Earth Observation and Geoinformation 111 …, 2022 | 22 | 2022 |
| Efficiency analysis of ASP encodings for sequential pattern mining tasks T Guyet, Y Moinard, R Quiniou, T Schaub Advances in Knowledge Discovery and Management: Volume 7, 41-81, 2018 | 16 | 2018 |
| VCNet: A self-explaining model for realistic counterfactual generation V Guyomard, F Fessant, T Guyet, T Bouadi, A Termier Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 15 | 2022 |
| Evaluating distance measures and times series clustering for temporal patterns retrieval S Benabderrahmane, R Quiniou, T Guyet Proceedings of the 2014 IEEE 15th International Conference on Information …, 2014 | 13 | 2014 |
| Incremental mining of frequent serial episodes considering multiple occurrences T Guyet, W Zhang, A Bifet International Conference on Computational Science, 460-472, 2022 | 11 | 2022 |
| Using answer set programming for pattern mining T Guyet, Y Moinard, R Quiniou arXiv preprint arXiv:1409.7777, 2014 | 11 | 2014 |
