| Missing data CM Salgado, C Azevedo, H Proença, SM Vieira Secondary analysis of electronic health records, 143-162, 2016 | 166 | 2016 |
| Noise versus outliers MITC Data, CM Salgado, C Azevedo, H Proença, SM Vieira Secondary analysis of electronic health records, 163-183, 2016 | 115 | 2016 |
| Interpretable multiclass classification by MDL-based rule lists HM Proença, M van Leeuwen Information Sciences 512, 1372-1393, 2020 | 67 | 2020 |
| Robust subgroup discovery: Discovering subgroup lists using mdl HM Proença, P Grünwald, T Bäck, M van Leeuwen Data Mining and Knowledge Discovery 36 (5), 1885-1970, 2022 | 25 | 2022 |
| Discovering outstanding subgroup lists for numeric targets using MDL HM Proença, P Grünwald, T Bäck, M Leeuwen Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 19 | 2021 |
| Identifying flight delay patterns using diverse subgroup discovery HM Proença, R Klijn, T Bäck, M van Leeuwen 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 60-67, 2018 | 11 | 2018 |
| Incremental profit per conversion: a response transformation for uplift modeling in e-commerce promotions HM Proença, F Moraes arXiv preprint arXiv:2306.13759, 2023 | 5 | 2023 |
| Discovering diverse top-k characteristic lists A Lopez-Martinez-Carrasco, HM Proença, JM Juarez, M van Leeuwen, ... International Symposium on Intelligent Data Analysis, 262-273, 2023 | 5 | 2023 |
| Novel approach for phenotyping based on diverse top-k subgroup lists A Lopez-Martinez-Carrasco, HM Proença, JM Juarez, M Leeuwen, ... International Conference on Artificial Intelligence in Medicine, 45-50, 2023 | 4 | 2023 |
| Metalearners for ranking treatment effects T Vanderschueren, W Verbeke, F Moraes, HM Proença arXiv preprint arXiv:2405.02183, 2024 | 3 | 2024 |
| Uplift modeling: From causal inference to personalization F Moraes, H Manuel Proença, A Kornilova, J Albert, D Goldenberg Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 2023 |
| Robust rules for prediction and description HM Proença PhD thesis, Leiden University, https://hdl. handle. net/1887/3220882, 2021 | 3 | 2021 |
| Optimizing probabilistic fuzzy systems for classification using metaheuristics HM Proença, SM Vieira, U Kaymak, RJ Almeida, JMC Sousa 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1635-1641, 2016 | 3 | 2016 |
| Exploring Learning to Rank for Optimal Treatment Allocation T Vanderschueren, W Verbeke, F Moraes, H Proença 33rd European Conference on Operational Research, Date: 2024/06/30-2024/07 …, 2024 | | 2024 |
| Lifecycle of promotional campaigns in the online travel industry C Herrero-Gómez, A Livne, I Adiv, HM Proença, F Moraes, J Albert, ... CEUR Workshop Proceedings 3886, 31-38, 2024 | | 2024 |
| Check for updates Discovering Diverse Top-K Characteristic Lists A Lopez-Martinez-Carrasco¹, HM Proença, JM Juarez¹, M van Leeuwen, ... Advances in Intelligent Data Analysis XXI: 21st International Symposium on …, 2023 | | 2023 |
| HMProenca/SSDpp-numeric: v2020.06.0 H Manuel Proença https://doi.org/10.5281/zenodo.3901236, 2020 | | 2020 |
| Optimizing Probabilistic Fuzzy Systems For Classification HM Proença | | 2015 |
| an.(2020) H Manuel Proença, M Leeuwen Interpretable multiclass classification b MDL-based rule lists, 1372-1393, 0 | | |
Matthijs van LeeuwenAssociate Professor, Leiden University確認したメール アドレス: liacs.leidenuniv.nl