Madelon Hulsebos

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Semantically Meaningful

Data Management

Relational Tables

Top Venues

SIGMOD Conference Companion

Proc. ACM Manag. Data

Publications

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)
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 (2024)
Till Döhmen, Radu Geacu, Madelon Hulsebos, Sebastian Schelter
SchemaPile: A Large Collection of Relational Database Schemas. Proc. ACM Manag. Data 2 (3) (2024)
Madelon Hulsebos, Matteo Interlandi, Shreya Shankar
Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion (2024)
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 (2024)
Madelon Hulsebos, Xiang Deng, Huan Sun, Paolo Papotti
Models and Practice of Neural Table Representations. SIGMOD Conference Companion (2023)
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)
Madelon Hulsebos, Paul Groth, Çagatay Demiralp
AdaTyper: Adaptive Semantic Column Type Detection. CoRR (2023)
Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion (2023)
Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish
Observatory: Characterizing Embeddings of Relational Tables. Proc. VLDB Endow. 17 (4) (2023)
Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish
Observatory: Characterizing Embeddings of Relational Tables. CoRR (2023)
Madelon Hulsebos, Çagatay Demiralp, Paul Groth
GitTables: A Large-Scale Corpus of Relational Tables. Proc. ACM Manag. Data 1 (1) (2023)
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)
Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp
Making Table Understanding Work in Practice. CIDR (2022)
Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp
Augmenting Decision Making via Interactive What-If Analysis. CIDR (2022)
Till Döhmen, Madelon Hulsebos, Christian Beecks, Sebastian Schelter
GitSchemas: A Dataset for Automating Relational Data Preparation Tasks. ICDE Workshops (2022)
Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp
Making Table Understanding Work in Practice. CoRR (2021)
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)
Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp
Augmenting Decision Making via Interactive What-If Analysis. CoRR (2021)
Madelon Hulsebos, Çagatay Demiralp, Paul Groth
GitTables: A Large-Scale Corpus of Relational Tables. CoRR (2021)
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) (2020)
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)
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan
Sato: Contextual Semantic Type Detection in Tables. CoRR (2019)
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 (2019)
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)
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 (2019)
Madelon Hulsebos, Alexander Jung
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks. ICASSP (2018)
Alexander Jung, Madelon Hulsebos
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks. Frontiers Appl. Math. Stat. 4 (2018)