Jesse Davis

Jesse Davis

Katholieke Universiteit Leuven

H-index: 36

Europe-Belgium

About Jesse Davis

Jesse Davis, With an exceptional h-index of 36 and a recent h-index of 29 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Machine learning, Artificial intelligence, Sports analytics, Data mining, Medical informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unsupervised anomaly detection with rejection

Deep Neural Network Benchmarks for Selective Classification

Biases in Expected Goals Models Confound Finishing Ability

Machine learning with a reject option: A survey

Semi-Supervised Isolation Forest for Anomaly Detection

Robustness Verification of Multi-Class Tree Ensembles

Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023, Revised Selected Papers

Faster Repeated Evasion Attacks in Tree Ensembles

Jesse Davis Information

University

Position

Professor Department of Computer Science

Citations(all)

12336

Citations(since 2020)

7716

Cited By

7469

hIndex(all)

36

hIndex(since 2020)

29

i10Index(all)

100

i10Index(since 2020)

82

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

View Google Scholar Profile

Jesse Davis Skills & Research Interests

Machine learning

Artificial intelligence

Sports analytics

Data mining

Medical informatics

Top articles of Jesse Davis

Title

Journal

Author(s)

Publication Date

Unsupervised anomaly detection with rejection

Advances in Neural Information Processing Systems

Lorenzo Perini

Jesse Davis

2024/2/13

Deep Neural Network Benchmarks for Selective Classification

arXiv preprint arXiv:2401.12708

Andrea Pugnana

Lorenzo Perini

Jesse Davis

Salvatore Ruggieri

2024/1/23

Biases in Expected Goals Models Confound Finishing Ability

arXiv preprint arXiv:2401.09940

Jesse Davis

Pieter Robberechts

2024/1/18

Machine learning with a reject option: A survey

Machine Learning

Kilian Hendrickx

Lorenzo Perini

Dries Van der Plas

Wannes Meert

Jesse Davis

2024/3/29

Semi-Supervised Isolation Forest for Anomaly Detection

Luca Stradiotti

Lorenzo Perini

Jesse Davis

2024

Robustness Verification of Multi-Class Tree Ensembles

Proceedings of the AAAI Conference on Artificial Intelligence

Laurens Devos

Lorenzo Cascioli

Jesse Davis

2024/3/24

Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023, Revised Selected Papers

Jan Van Haaren

Albrecht Zimmermann

Joris Renkens

Guy Van den Broeck

Tim Op De BeÊck

...

2013/10/28

Faster Repeated Evasion Attacks in Tree Ensembles

arXiv preprint arXiv:2402.08586

Lorenzo Cascioli

Laurens Devos

Ondřej Kuželka

Jesse Davis

2024/2/13

Expected Metrics as a Measure of Skill: Reflections on Finishing in Soccer

Proceedings of the 10th Workshop on Machine Learning and Data Mining for Sports Analytics

Jesse Davis

Pieter Robberechts

2023/7/12

Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection

Lorenzo Perini

Vincent Vercruyssen

Jesse Davis

2023/8/6

Time-Shifted Transformers for Driver Identification Using Vehicle Data

IEEE Transactions on Intelligent Transportation Systems

Wim Govers

Aras Yurtman

Turgay Aslandere

Nicole Eikelenberg

Wannes Meert

...

2023/11/1

How to allocate your label budget? choosing between active learning and learning to reject in anomaly detection

arXiv preprint arXiv:2301.02909

Lorenzo Perini

Daniele Giannuzzi

Jesse Davis

2023/1/7

A Markov framework for learning and reasoning about strategies in professional soccer

Journal of Artificial Intelligence Research

Maaike Van Roy

Pieter Robberechts

Wen-Chi Yang

Luc De Raedt

Jesse Davis

2023/6/19

un-xPass: Measuring Soccer Player's Creativity

Pieter Robberechts

Maaike Van Roy

Jesse Davis

2023/8/6

An Analysis of the Influence of Game Context on Team Playing Style

Proceedings of the 2023 StatsBomb Conference

Deniz Can Oruç

Lorenzo Cascioli

Luca Stradiotti

Pieter Robberechts

Jesse Davis

2023/10/3

Lifted reasoning for combinatorial counting

Journal of Artificial Intelligence Research

Pietro Totis

Jesse Davis

Luc De Raedt

Angelika Kimmig

2023/1/5

Measuring pace of play in elite female soccer

Lotte Bransen

Jesse Davis

2023/5/24

Detecting epileptic seizures using hand-crafted and automatically constructed EEG features

IEEE Transactions on Biomedical Engineering

Arne De Brabandere

Christos Chatzichristos

Wim Van Paesschen

Maarten De Vos

Jesse Davis

2023/7/28

ETSY: A rule-based approach to Event and Tracking data SYnchronization

Maaike Van Roy

Lorenzo Cascioli

Jesse Davis

2023/9/18

A novel reject option applied to sleep stage scoring

Dries Van der Pias

Wannes Meert

Johan Verbraecken

Jesse Davis

2023

See List of Professors in Jesse Davis University(Katholieke Universiteit Leuven)

Co-Authors

H-index: 42
Hendrik Blockeel

Hendrik Blockeel

Katholieke Universiteit Leuven

H-index: 40
Guy Van den Broeck

Guy Van den Broeck

University of California, Los Angeles

H-index: 36
Vítor Santos Costa

Vítor Santos Costa

Universidade do Porto

H-index: 32
Steven Schockaert

Steven Schockaert

Cardiff University

H-index: 31
Wannes Meert

Wannes Meert

Katholieke Universiteit Leuven

H-index: 28
Daniel Lowd

Daniel Lowd

University of Oregon

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