| The SPMF open-source data mining library version 2 P Fournier-Viger, JCW Lin, A Gomariz, T Gueniche, A Soltani, Z Deng, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 666 | 2016 |
| Mining compressing sequential patterns HT Lam, F Mörchen, D Fradkin, T Calders Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (1), 34-52, 2014 | 155 | 2014 |
| One button machine for automating feature engineering in relational databases HT Lam, JM Thiebaut, M Sinn, B Chen, T Mai, O Alkan arXiv preprint arXiv:1706.00327, 2017 | 120 | 2017 |
| An ensemble prediction model for train delays R Nair, TL Hoang, M Laumanns, B Chen, R Cogill, J Szabó, T Walter Transportation Research Part C: Emerging Technologies 104, 196-209, 2019 | 84 | 2019 |
| Mining top-k frequent items in a data stream with flexible sliding windows H Thanh Lam, T Calders Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 49 | 2010 |
| Online discovery of top-k similar motifs in time series data HT Lam, ND Pham, T Calders Proceedings of the 2011 SIAM International Conference on Data Mining, 1004-1015, 2011 | 45 | 2011 |
| Spmf: Open-source data mining platform P Fournier-Viger, A Gomariz, A Soltani, H Lam, T Gueniche URL http://www. philippe-fournier-viger. com/spmf, 2014 | 35 | 2014 |
| Maximum Bayes Smatch ensemble distillation for AMR parsing YS Lee, RF Astudillo, TL Hoang, T Naseem, R Florian, S Roukos arXiv preprint arXiv:2112.07790, 2021 | 34 | 2021 |
| Automated image data preprocessing with deep reinforcement learning TN Minh, M Sinn, HT Lam, M Wistuba arXiv preprint arXiv:1806.05886, 2018 | 33 | 2018 |
| Predicting current user intent with contextual markov models J Kiseleva, HT Lam, M Pechenizkiy, T Calders 2013 IEEE 13th International Conference on Data Mining Workshops, 391-398, 2013 | 32 | 2013 |
| Ensembling graph predictions for amr parsing TL Hoang, G Picco, Y Hou, YS Lee, L Nguyen, D Phan, V López, ... Advances in Neural Information Processing Systems 34, 8495-8505, 2021 | 31 | 2021 |
| How can AI automate End-to-End data science? C Aggarwal, D Bouneffouf, H Samulowitz, B Buesser, T Hoang, ... arXiv preprint arXiv:1910.14436, 2019 | 28* | 2019 |
| Neural feature learning from relational database HT Lam, TN Minh, M Sinn, B Buesser, M Wistuba arXiv preprint arXiv:1801.05372, 2018 | 28* | 2018 |
| Self-managed adaptable models for prediction systems EP Bouillet, B Chen, RL Cogill, TL Hoang, M Laumanns, WK Lynch, ... US Patent 11,276,011, 2022 | 27 | 2022 |
| Characterization of network traffic processes under adaptive traffic control systems A Pascale, HT Lam, R Nair Transportation Research Procedia 9, 205-224, 2015 | 27 | 2015 |
| Spatio-temporal clustering of urban networks: a real case scenario in London A Pascale, D Mavroeidis, HT Lam Transportation Research Board 94th Annual Meeting, 18, 2015 | 24 | 2015 |
| (Blue) taxi destination and trip time prediction from partial trajectories HT Lam, E Diaz-Aviles, A Pascale, Y Gkoufas, B Chen arXiv preprint arXiv:1509.05257, 2015 | 23 | 2015 |
| Discovering temporal hidden contexts in web sessions for user trail prediction J Kiseleva, H Thanh Lam, M Pechenizkiy, T Calders Proceedings of the 22nd International Conference on World Wide Web, 1067-1074, 2013 | 21 | 2013 |
| Neural unification for logic reasoning over natural language G Picco, HT Lam, ML Sbodio, VL Garcia arXiv preprint arXiv:2109.08460, 2021 | 20 | 2021 |
| Automated data science for relational data HT Lam, B Buesser, H Min, TN Minh, M Wistuba, U Khurana, G Bramble, ... 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2689-2692, 2021 | 16 | 2021 |
Gabriele PiccoMagicBlockVerified email at magicblock.gg
