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ORCIDMadelon Hulsebos
Person information
- affiliation: UC Berkeley, CA, USA
- affiliation (Ph.D.): University of Amsterdam, The Netherlands
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2020 – today
- 2024
[j6]Till Döhmen
, Radu Geacu, Madelon Hulsebos, Sebastian Schelter:
SchemaPile: A Large Collection of Relational Database Schemas. Proc. ACM Manag. Data 2(3): 172 (2024)- [j5]Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirscu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu:
SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines. Proc. VLDB Endow. 17(12): 4173-4186 (2024) - [c13]Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran:
It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? HILDA@SIGMOD 2024: 1-4 - [c12]Madelon Hulsebos, Matteo Interlandi, Shreya Shankar:
Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion 2024: 651-652 - [i10]Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu:
SPADE: Synthesizing Assertions for Large Language Model Pipelines. CoRR abs/2401.03038 (2024) - [i9]Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu:
Towards Accurate and Efficient Document Analytics with Large Language Models. CoRR abs/2405.04674 (2024) - 2023
- [j4]Madelon Hulsebos, Çagatay Demiralp, Paul Groth:
GitTables: A Large-Scale Corpus of Relational Tables. Proc. ACM Manag. Data 1(1): 30:1-30:17 (2023) - [j3]Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish:
Observatory: Characterizing Embeddings of Relational Tables. Proc. VLDB Endow. 17(4): 849-862 (2023) - [c11]Oktie Hassanzadeh, Nora Abdelmageed, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Aamod Khatiwada, Keti Korini, Benno Kruit, Juan Sequeda, Kavitha Srinivas:
Results of SemTab 2023. SemTab@ISWC 2023: 1-14 - [c10]Madelon Hulsebos, Xiang Deng, Huan Sun, Paolo Papotti:
Models and Practice of Neural Table Representations. SIGMOD Conference Companion 2023: 83-89 - [c9]Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma:
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion 2023: 305-306 - [e3]Vasilis Efthymiou, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos:
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, SemTab 2022, co-located with the 21st International Semantic Web Conference, ISWC 2022, Virtual conference, October 23-27, 2022. CEUR Workshop Proceedings 3320, CEUR-WS.org 2023 [contents] - [e2]Vasilis Efthymiou, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Aamod Khatiwada, Keti Korini, Benno Kruit:
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, SemTab 2023, co-located with the 22nd International Semantic Web Conference, ISWC 2023, Athens, Greece, November 6-10, 2023. CEUR Workshop Proceedings 3557, CEUR-WS.org 2023 [contents] - [i8]Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish:
Observatory: Characterizing Embeddings of Relational Tables. CoRR abs/2310.07736 (2023) - [i7]Madelon Hulsebos, Paul Groth, Çagatay Demiralp:
AdaTyper: Adaptive Semantic Column Type Detection. CoRR abs/2311.13806 (2023) - 2022
- [c8]Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp:
Augmenting Decision Making via Interactive What-If Analysis. CIDR 2022 - [c7]Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp:
Making Table Understanding Work in Practice. CIDR 2022 - [c6]Till Döhmen, Madelon Hulsebos, Christian Beecks, Sebastian Schelter:
GitSchemas: A Dataset for Automating Relational Data Preparation Tasks. ICDE Workshops 2022: 74-78 - [c5]Nora Abdelmageed, Jiaoyan Chen, Vincenzo Cutrona, Vasilis Efthymiou, Oktie Hassanzadeh, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas:
Results of SemTab 2022. SemTab@ISWC 2022: 1-13 - [e1]Ernesto Jiménez-Ruiz, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita:
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual conference, October 27, 2021. CEUR Workshop Proceedings 3103, CEUR-WS.org 2022 [contents] - 2021
- [c4]Vincenzo Cutrona, Jiaoyan Chen, Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita:
Results of SemTab 2021. SemTab@ISWC 2021: 1-12 - [i6]Madelon Hulsebos, Çagatay Demiralp, Paul Groth:
GitTables: A Large-Scale Corpus of Relational Tables. CoRR abs/2106.07258 (2021) - [i5]Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp:
Making Table Understanding Work in Practice. CoRR abs/2109.05173 (2021) - [i4]Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp:
Augmenting Decision Making via Interactive What-If Analysis. CoRR abs/2109.06160 (2021) - 2020
- [j2]Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan:
Sato: Contextual Semantic Type Detection in Tables. Proc. VLDB Endow. 13(11): 1835-1848 (2020)
2010 – 2019
- 2019
- [c3]Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp:
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CHI 2019: 662 - [c2]Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo:
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. KDD 2019: 1500-1508 - [i3]Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Michiel A. Bakker, Madelon Hulsebos, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp:
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CoRR abs/1905.04616 (2019) - [i2]Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo:
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. CoRR abs/1905.10688 (2019) - [i1]Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan:
Sato: Contextual Semantic Type Detection in Tables. CoRR abs/1911.06311 (2019) - 2018
- [j1]Alexander Jung, Madelon Hulsebos:
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks. Frontiers Appl. Math. Stat. 4: 9 (2018) - [c1]Madelon Hulsebos, Alexander Jung:
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks. ICASSP 2018: 4549-4553
Coauthor Index
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