| Semi-supervised anomaly detection with an application to water analytics V Vercruyssen, W Meert, G Verbruggen, K Maes, R Baumer, J Davis 2018 IEEE International Conference on Data Mining (ICDM) 2018, 527-536, 2018 | 69 | 2018 |
| Elements of an Automatic Data Scientist L De Raedt, H Blockeel, S Kolb, S Teso, G Verbruggen International Symposium on Intelligent Data Analysis, 3-14, 2018 | 12 | 2018 |
| Semantic programming by example with pre-trained models G Verbruggen, V Le, S Gulwani Proceedings of the ACM on Programming Languages 5 (OOPSLA), 1-25, 2021 | 11 | 2021 |
| Repair is nearly generation: Multilingual program repair with llms H Joshi, J Cambronero, S Gulwani, V Le, I Radicek, G Verbruggen arXiv preprint arXiv:2208.11640, 2022 | 7 | 2022 |
| Automatically wrangling spreadsheets into machine learning data formats G Verbruggen, LD Raedt International Symposium on Intelligent Data Analysis, 367-379, 2018 | 7 | 2018 |
| Towards automated relational data wrangling G Verbruggen, L De Raedt Proceedings of AutoML 2017@ ECML-PKDD: Automatic selection, configuration …, 2017 | 7 | 2017 |
| Human–Machine Collaboration for Democratizing Data Science C Gautrais, Y Dauxais, S Teso, S Kolb, G Verbruggen, L De Raedt Human-Like Machine Intelligence, 379, 2021 | 4 | 2021 |
| Repairing Bugs in Python Assignments Using Large Language Models J Zhang, J Cambronero, S Gulwani, V Le, R Piskac, G Soares, ... arXiv preprint arXiv:2209.14876, 2022 | 2 | 2022 |
| SandSlide: Automatic Slideshow Normalization S Bocklandt, G Verbruggen, T Winters International Conference on Document Analysis and Recognition, 445-461, 2021 | 1 | 2021 |
| CORNET: A neurosymbolic approach to learning conditional table formatting rules by example M Singh, J Cambronero, S Gulwani, V Le, C Negreanu, M Raza, ... arXiv preprint arXiv:2208.06032, 2022 | | 2022 |
| Muppets: Multipurpose Table Segmentation G Verbruggen, L Contreras-Ochando, C Ferri, J Hernández-Orallo, ... International Symposium on Intelligent Data Analysis, 389-401, 2021 | | 2021 |
| VisualSynth: Democratizing Data Science in Spreadsheets C Gautrais, Y Dauxais, S Kolb, A Jain, M Kumar, S Teso, E Van Wolputte, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | | 2021 |
| avatar—Automated Feature Wrangling for Machine Learning G Verbruggen, E Van Wolputte, S Dumančić, L De Raedt International Symposium on Intelligent Data Analysis, 235-247, 2021 | | 2021 |
| SynthLog: A Language for Synthesising Inductive Data Models Y Dauxais, C Gautrais, A Dries, A Jain, S Kolb, M Kumar, S Teso, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | | 2020 |
