| Sherlock: A deep learning approach to semantic data type detection M Hulsebos, K Hu, M Bakker, E Zgraggen, A Satyanarayan, T Kraska, ... Proceedings of the 25th ACM SIGKDD International Conference on knowledge …, 2019 | 279 | 2019 |
| Sato: Contextual semantic type detection in tables D Zhang, Y Suhara, J Li, M Hulsebos, Ç Demiralp, WC Tan arXiv preprint arXiv:1911.06311, 2019 | 170 | 2019 |
| VizNet: Towards a large-scale visualization learning and benchmarking repository K Hu, SNS Gaikwad, M Hulsebos, MA Bakker, E Zgraggen, C Hidalgo, ... Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 111 | 2019 |
| GitTables: A large-scale corpus of relational tables M Hulsebos, Ç Demiralp, P Groth Proceedings of the ACM on Management of Data 1 (1), 2023 | 99 | 2023 |
| Results of semtab 2021 V Cutrona, J Chen, V Efthymiou, O Hassanzadeh, E Jiménez-Ruiz, ... Proceedings of the semantic web challenge on tabular data to knowledge graph …, 2022 | 47 | 2022 |
| Spade: Synthesizing data quality assertions for large language model pipelines S Shankar, H Li, P Asawa, M Hulsebos, Y Lin, JD Zamfirescu-Pereira, ... arXiv preprint arXiv:2401.03038, 2024 | 21 | 2024 |
| The network nullspace property for compressed sensing of big data over networks A Jung, M Hulsebos Frontiers in Applied Mathematics and Statistics 4, 9, 2018 | 15 | 2018 |
| Results of semtab 2022 N Abdelmageed, J Chen, V Cutrona, V Efthymiou, O Hassanzadeh, ... Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 3320, 2022 | 14 | 2022 |
| Observatory: Characterizing Embeddings of Relational Tables T Cong, M Hulsebos, Z Sun, P Groth, HV Jagadish PVLDB 17 (4), 849 - 862, 2023 | 11 | 2023 |
| Towards accurate and efficient document analytics with large language models Y Lin, M Hulsebos, R Ma, S Shankar, S Zeigham, AG Parameswaran, ... arXiv preprint arXiv:2405.04674, 2024 | 9 | 2024 |
| Gitschemas: A dataset for automating relational data preparation tasks T Döhmen, M Hulsebos, C Beecks, S Schelter 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW …, 2022 | 9 | 2022 |
| Augmenting decision making via interactive what-if analysis S Gathani, M Hulsebos, J Gale, PJ Haas, Ç Demiralp arXiv preprint arXiv:2109.06160, 2021 | 9 | 2021 |
| SchemaPile: A Large Collection of Relational Database Schemas T Döhmen, R Geacu, M Hulsebos, S Schelter Proceedings of the ACM on Management of Data 2 (3), 1-25, 2024 | 8 | 2024 |
| Models and practice of neural table representations M Hulsebos, X Deng, H Sun, P Papotti Companion of the 2023 International Conference on Management of Data, 83-89, 2023 | 7 | 2023 |
| Making Table Understanding Work in Practice M Hulsebos, S Gathani, J Gale, I Dillig, P Groth, Ç Demiralp arXiv preprint arXiv:2109.05173, 2021 | 7 | 2021 |
| “It Took Longer than I was Expecting:” Why is Dataset Search Still so Hard? M Hulsebos, W Lin, S Shankar, AG Parameswaran | 4 | 2024 |
| AdaTyper: Adaptive Semantic Column Type Detection M Hulsebos, P Groth, Ç Demiralp arXiv preprint arXiv:2311.13806, 2023 | 2 | 2023 |
| Semantic web challenge on tabular data to knowledge graph matching N Abdelmageed, J Chen, V Cutrona, V Efthymiou, O Hassanzadeh, ... International Semantic Web Conference, 2022 | 2 | 2022 |
| TARGET: Benchmarking Table Retrieval for Generative Tasks X Ji, A Parameswaran, M Hulsebos NeurIPS 2024 Third Table Representation Learning Workshop, 2024 | 1 | 2024 |
| Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM) M Hulsebos, M Interlandi, S Shankar Companion of the 2024 International Conference on Management of Data, 651-652, 2024 | | 2024 |
Paul GrothProfessor, INDE Lab, University of AmsterdamOverená e-mailová adresa na: uva.nl