| Exathlon: A benchmark for explainable anomaly detection over time series V Jacob, F Song, A Stiegler, B Rad, Y Diao, N Tatbul arXiv preprint arXiv:2010.05073, 2020 | 55 | 2020 |
| EXAD: A system for explainable anomaly detection on big data traces F Song, Y Diao, J Read, A Stiegler, A Bifet 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1435-1440, 2018 | 27 | 2018 |
| An Improved Bound for Vertex Partitions by Connected Monochromatic K‐Regular Graphs GN Sárközy, SM Selkow, F Song Journal of Graph Theory 73 (2), 127-145, 2013 | 17 | 2013 |
| Explainable anomaly detection on high-dimensional time series data B Rad, F Song, V Jacob, Y Diao Proceedings of the 15th ACM International Conference on Distributed and …, 2021 | 11 | 2021 |
| A practical regularity partitioning algorithm and its applications in clustering GN Sárközy, F Song, E Szemerédi, S Trivedi arXiv preprint arXiv:1209.6540, 2012 | 11 | 2012 |
| Spark-based cloud data analytics using multi-objective optimization F Song, K Zaouk, C Lyu, A Sinha, Q Fan, Y Diao, P Shenoy 2021 IEEE 37th International Conference on Data Engineering (ICDE), 396-407, 2021 | 7 | 2021 |
| Fine-grained modeling and optimization for intelligent resource management in big data processing C Lyu, Q Fan, F Song, A Sinha, Y Diao, W Chen, L Ma, Y Feng, Y Li, ... arXiv preprint arXiv:2207.02026, 2022 | 6 | 2022 |
| Udao: A next-generation unified data analytics optimizer K Zaouk, F Song, C Lyu, A Sinha, Y Diao, P Shenoy Proceedings of the VLDB Endowment (PVLDB) 12 (12), 2019 | 5 | 2019 |
| Vertex partitions of non-complete graphs into connected monochromatic k-regular graphs GN Sárközy, SM Selkow, F Song Discrete mathematics 311 (18-19), 2079-2084, 2011 | 5 | 2011 |
| Anomaly detection and explanation discovery on event streams F Song, B Zhou, Q Sun, W Sun, S Xia, Y Diao Proceedings of the International Workshop on Real-Time Business Intelligence …, 2018 | 4 | 2018 |
| Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods F Song, S Trivedi, Y Wang, G Sarkozy, N Heffernan The Twenty-Sixth International FLAIRS Conference, 2013 | 4 | 2013 |
| A demonstration of the exathlon benchmarking platform for explainable anomaly detection V Jacob, F Song, A Stiegler, B Rad, Y Diao, N Tatbul Proceedings of the VLDB Endowment (PVLDB), 2021 | 3 | 2021 |
| Boosting cloud data analytics using multi-objective optimization F Song, K Zaouk, C Lyu, A Sinha, Q Fan, Y Diao, P Shenoy arXiv preprint arXiv:2005.03314, 2020 | 2 | 2020 |
| Neural-based Modeling for Performance Tuning of Spark Data Analytics K Zaouk, F Song, C Lyu, Y Diao arXiv preprint arXiv:2101.08167, 2021 | 1 | 2021 |
| Practical and theoretical applications of the Regularity Lemma F Song Worcester Polytechnic Institute, 2013 | | 2013 |
| Predicting Long Term Student Retention using Expanded PFA and Clustering F Song, S Trivedi, Y Wang, GN Sárközy, NT Heffernan | | 2012 |
| Clap de fin pour Héloïse F Song, K Zaouk, C Lyu, A Sinha, Q Fan Évolution 21, 110, 0 | | |
| Intégrer Episciences au catalogue de services de l’European open science cloud (EOSC) F Song, K Zaouk, C Lyu, A Sinha, Q Fan Évolution 21, 096, 0 | | |
| Bienvenue sur le portail des publications scientifiques en libre accès de l’École polytechnique HAL Portail Évolution 23, 938, 0 | | |
