Jesse Davis

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 118

Top Venues

Publications

Arne De Brabandere, Tim Op De Beéck, Kilian Hendrickx, Wannes Meert, Jesse Davis
TSFuse: automated feature construction for multiple time series data. Mach. Learn. 113 (8) (2024)
Jesse Davis, Lotte Bransen, Laurens Devos, Arne Jaspers, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned. Mach. Learn. 113 (9) (2024)
Luca Stradiotti, Lorenzo Perini, Jesse Davis
Semi-Supervised Isolation Forest for Anomaly Detection. SDM (2024)
Andrea Pugnana, Lorenzo Perini, Jesse Davis, Salvatore Ruggieri
Deep Neural Network Benchmarks for Selective Classification. CoRR (2024)
Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas, Wannes Meert, Jesse Davis
Machine learning with a reject option: a survey. Mach. Learn. 113 (5) (2024)
Wim Govers, Aras Yurtman, Turgay Aslandere, Nicole Eikelenberg, Wannes Meert, Jesse Davis
Time-Shifted Transformers for Driver Identification Using Vehicle Data. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Laurens Devos, Lorenzo Cascioli, Jesse Davis
Robustness Verification of Multi-Class Tree Ensembles. AAAI (2024)
Wei Sun, Mingxiao Li, Jingyuan Sun, Jesse Davis, Marie-Francine Moens
DMON: A Simple Yet Effective Approach for Argument Structure Learning. LREC/COLING (2024)
Ulf Brefeld, Jesse Davis, Laura de Jong, Stephanie Kovalchik
Computational Approaches to Strategy and Tactics in Sports (Dagstuhl Seminar 24081). Dagstuhl Reports 14 (2) (2024)
Lorenzo Cascioli, Laurens Devos, Ondrej Kuzelka, Jesse Davis
Faster Repeated Evasion Attacks in Tree Ensembles. CoRR (2024)
Jesse Davis, Pieter Robberechts
Biases in Expected Goals Models Confound Finishing Ability. CoRR (2024)
Wei Sun, Mingxiao Li, Jingyuan Sun, Jesse Davis, Marie-Francine Moens
DMON: A Simple yet Effective Approach for Argument Structure Learning. CoRR (2024)
Arne De Brabandere, Christos Chatzichristos, Wim Van Paesschen, Maarten De Vos, Jesse Davis
Detecting Epileptic Seizures Using Hand-Crafted and Automatically Constructed EEG Features. IEEE Trans. Biomed. Eng. 71 (1) (2024)
Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer. J. Artif. Intell. Res. 77 (2023)
Lorenzo Perini, Jesse Davis
Unsupervised Anomaly Detection with Rejection. CoRR (2023)
Lorenzo Perini, Jesse Davis
Unsupervised Anomaly Detection with Rejection. NeurIPS (2023)
Pieter Robberechts, Maaike Van Roy, Jesse Davis
un-xPass: Measuring Soccer Player's Creativity. KDD (2023)
Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection. KDD (2023)
Timo Martens, Lorenzo Perini, Jesse Davis
Semi-supervised Learning from Active Noisy Soft Labels for Anomaly Detection. ECML/PKDD (1) (2023)
Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis
Detecting Evasion Attacks in Deployed Tree Ensembles. ECML/PKDD (5) (2023)
Lorenzo Perini, Daniele Giannuzzi, Jesse Davis
How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection. CoRR (2023)
Dries Van der Pias, Wannes Meert, Johan Verbraecken, Jesse Davis
A novel reject option applied to sleep stage scoring. SDM (2023)
Wei Sun, Mingxiao Li, Damien Sileo, Jesse Davis, Marie-Francine Moens
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence. CoRR (2023)
Pietro Totis, Jesse Davis, Luc De Raedt, Angelika Kimmig
Lifted Reasoning for Combinatorial Counting. J. Artif. Intell. Res. 76 (2023)
Jeroen Clijmans, Maaike Van Roy, Jesse Davis
Looking Beyond the Past: Analyzing the Intrinsic Playing Style of Soccer Teams. ECML/PKDD (6) (2022)
Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity. AAAI (2022)
Thomas Dierckx, Jesse Davis, Wim Schoutens
Towards Data-Driven Volatility Modeling with Variational Autoencoders. PKDD/ECML Workshops (2) (2022)
Vincent Vercruyssen, Lorenzo Perini, Wannes Meert, Jesse Davis
Multi-domain Active Learning for Semi-supervised Anomaly Detection. ECML/PKDD (4) (2022)
Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy
Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned. EBeM@IJCAI (2022)
Ioannis Antoniadis, Vincent Vercruyssen, Jesse Davis
Systematic Evaluation of CASH Search Strategies for Unsupervised Anomaly Detection. LIDTA (2022)
Laurens Devos, Wannes Meert, Jesse Davis
Adversarial Example Detection in Deployed Tree Ensembles. CoRR (2022)
Loren Nuyts, Laurens Devos, Wannes Meert, Jesse Davis
Bitpaths: Compressing Datasets Without Decreasing Predictive Performance. PKDD/ECML Workshops (1) (2022)
Jill Emmerzaal, Arne De Brabandere, Rob van der Straaten, Johan Bellemans, Liesbet De Baets, Jesse Davis, Ilse Jonkers, Annick Timmermans, Benedicte Vanwanseele
Can the Output of a Learned Classification Model Monitor a Person's Functional Recovery Status Post-Total Knee Arthroplasty? Sensors 22 (10) (2022)
Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias. AAAI (2022)
Sieglinde Bogaert, Jesse Davis, Sam Van Rossom, Benedicte Vanwanseele
Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted Accelerometer. Sensors 22 (8) (2022)
Pieter Robberechts, Wannes Meert, Jesse Davis
Elastic Product Quantization for Time Series. CoRR (2022)
Arne De Brabandere, Zhenxiang Cao, Maarten De Vos, Alexander Bertrand, Jesse Davis
Semi-supervised Change Point Detection Using Active Learning. DS (2022)
Pieter Robberechts, Wannes Meert, Jesse Davis
Elastic Product Quantization for Time Series. DS (2022)
Laurens Devos, Wannes Meert, Jesse Davis
Versatile Verification of Tree Ensembles. ICML (2021)
Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas, Wannes Meert, Jesse Davis
Machine Learning with a Reject Option: A survey. CoRR (2021)
Laurens Devos, Wannes Meert, Jesse Davis
Verifying Tree Ensembles by Reasoning about Potential Instances. SDM (2021)
Dries Van der Plas, Johan Verbraecken, Marc Willemen, Wannes Meert, Jesse Davis
Evaluation of Automated Hypnogram Analysis on Multi-Scored Polysomnographies. Frontiers Digit. Health 3 (2021)
Kilian Hendrickx, Wannes Meert, Bram Cornelis, Jesse Davis
Know Your Limits: Machine Learning with Rejection for Vehicle Engineering. ADMA (2021)
Simon Suster, Pieter Fivez, Pietro Totis, Angelika Kimmig, Jesse Davis, Luc De Raedt, Walter Daelemans
Mapping probability word problems to executable representations. EMNLP (1) (2021)
Marc Mertens, Glen Debard, Jesse Davis, Els Devriendt, Koen Milisen, Jos Tournoy, Tom Croonenborghs, Bart Vanrumste
Motion Sensor-Based Detection of Outlier Days Supporting Continuous Health Assessment for Single Older Adults. Sensors 21 (18) (2021)
Ulf Brefeld, Jesse Davis, Martin Lames, James J. Little
Machine Learning in Sports (Dagstuhl Seminar 21411). Dagstuhl Reports 11 (9) (2021)
Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis
Leaving Goals on the Pitch: Evaluating Decision Making in Soccer. CoRR (2021)
Pieter Robberechts, Jan Van Haaren, Jesse Davis
A Bayesian Approach to In-Game Win Probability in Soccer. KDD (2021)
Natasa Sarafijanovic-Djukic, Jesse Davis
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder. CoRR (2020)
Pieter Robberechts, Jesse Davis
How Data Availability Affects the Ability to Learn Good xG Models. MLSA@PKDD/ECML (2020)
Tom Decroos, Maaike Van Roy, Jesse Davis
SoccerMix: Representing Soccer Actions with Mixture Models. ECML/PKDD (5) (2020)
Jonas Schouterden, Jesse Davis, Hendrik Blockeel
Multi-directional Rule Set Learning. DS (2020)
Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions. ECML/PKDD (3) (2020)
Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis
VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). IJCAI (2020)
Martin Svatos, Steven Schockaert, Jesse Davis, Ondrej Kuzelka
STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment. ECAI (2020)
Laurens Devos, Wannes Meert, Jesse Davis
Additive Tree Ensembles: Reasoning About Potential Instances. CoRR (2020)
Vincent Vercruyssen, Wannes Meert, Jesse Davis
"Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series. SDM (2020)
Vincent Vercruyssen, Wannes Meert, Jesse Davis
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection. AAAI (2020)
Jill Emmerzaal, Arne De Brabandere, Yves Vanrompay, Julie Vranken, Valerie Storms, Liesbet De Baets, Kristoff Corten, Jesse Davis, Ilse Jonkers, Benedicte Vanwanseele, Annick Timmermans
Towards the Monitoring of Functional Status in a Free-Living Environment for People with Hip or Knee Osteoarthritis: Design and Evaluation of the JOLO Blended Care App. Sensors 20 (23) (2020)
Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
Class Prior Estimation in Active Positive and Unlabeled Learning. IJCAI (2020)
Laurens Devos, Wannes Meert, Jesse Davis
Versatile Verification of Tree Ensembles. CoRR (2020)
Jessa Bekker, Jesse Davis
Learning from positive and unlabeled data: a survey. Mach. Learn. 109 (4) (2020)
Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis
Actions Speak Louder than Goals: Valuing Player Actions in Soccer. KDD (2019)
Jonas Schouterden, Jesse Davis, Hendrik Blockeel
LazyBum: Decision Tree Learning Using Lazy Propositionalization. ILP (2019)
Natasa Sarafijanovic-Djukic, Jesse Davis
Fast Distance-Based Anomaly Detection in Images Using an Inception-Like Autoencoder. DS (2019)
Kenneth Verstraete, Tom Decroos, Bruno Coussement, Nick Vannieuwenhoven, Jesse Davis
Analyzing Soccer Players' Skill Ratings Over Time Using Tensor-Based Methods. PKDD/ECML Workshops (2) (2019)
Jonas Schouterden, Jesse Davis, Hendrik Blockeel
LazyBum: Decision tree learning using lazy propositionalization. CoRR (2019)
Pieter Robberechts, Jan Van Haaren, Jesse Davis
Who Will Win It? An In-game Win Probability Model for Football. CoRR (2019)
Jessa Bekker, Pieter Robberechts, Jesse Davis
Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data. ECML/PKDD (2) (2019)
Pieter Robberechts, Rud Derie, Pieter Van den Berghe, Joeri Gerlo, Dirk De Clercq, Veerle Segers, Jesse Davis
Gait Event Detection in Tibial Acceleration Profiles: a Structured Learning Approach. CoRR (2019)
Kilian Hendrickx, Wannes Meert, Yves Mollet, Johan Gyselinck, Bram Cornelis, Konstantinos C. Gryllias, Jesse Davis
A general anomaly detection framework for fleet-based condition monitoring of machines. CoRR (2019)
Werner Dubitzky, Philippe Lopes, Jesse Davis, Daniel Berrar
The Open International Soccer Database for machine learning. Mach. Learn. 108 (1) (2019)
Tom Decroos, Jesse Davis
Player Vectors: Characterizing Soccer Players' Playing Style from Match Event Streams. ECML/PKDD (3) (2019)
Laurens Devos, Wannes Meert, Jesse Davis
Fast Gradient Boosting Decision Trees with Bit-Level Data Structures. ECML/PKDD (1) (2019)
Daniel Berrar, Philippe Lopes, Jesse Davis, Werner Dubitzky
Guest editorial: special issue on machine learning for soccer. Mach. Learn. 108 (1) (2019)
Ondrej Kuzelka, Jesse Davis
Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption. UAI (2019)
Marc Mertens, Julie Raepsaet, Glen Debard, Mieke Mondelaers, Bart Vanrumste, Jesse Davis
Use of wearable technology to quantify fall risk in psychogeriatric environments: a feasability study. EMBC (2019)
Tom Decroos, Jan Van Haaren, Jesse Davis
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data. KDD (2018)
Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
PAC-Reasoning in Relational Domains. UAI (2018)
Pieter Robberechts, Jesse Davis
Forecasting the FIFA World Cup - Combining Result- and Goal-Based Team Ability Parameters. MLSA@PKDD/ECML (2018)
Tim Op De Beéck, Wannes Meert, Kurt Schütte, Benedicte Vanwanseele, Jesse Davis
Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion. KDD (2018)
Jessa Bekker, Jesse Davis
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data. CoRR (2018)
Jessa Bekker, Jesse Davis
Learning from Positive and Unlabeled Data under the Selected At Random Assumption. LIDTA@ECML/PKDD (2018)
Irma Ravkic, Martin Znidarsic, Jan Ramon, Jesse Davis
Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model. Data Min. Knowl. Discov. 32 (4) (2018)
Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
Relational Marginal Problems: Theory and Estimation. AAAI (2018)
Derek Greene, Björn Bringmann, Élisa Fromont, Jesse Davis
Introduction to the special issue for the ECML PKDD 2018 journal track. Data Min. Knowl. Discov. 32 (5) (2018)
Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis
Semi-Supervised Anomaly Detection with an Application to Water Analytics. ICDM (2018)
Tom Decroos, Kurt Schütte, Tim Op De Beéck, Benedicte Vanwanseele, Jesse Davis
AMIE: Automatic Monitoring of Indoor Exercises. ECML/PKDD (3) (2018)
Kaja Zupanc, Jesse Davis
Estimating Rule Quality for Knowledge Base Completion with the Relationship between Coverage Assumption. WWW (2018)
Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
PAC-Reasoning in Relational Domains. CoRR (2018)
Jessa Bekker, Jesse Davis
Learning from Positive and Unlabeled Data under the Selected At Random Assumption. CoRR (2018)
Pieter Robberechts, Maarten Bosteels, Jesse Davis, Wannes Meert
Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Jessa Bekker, Jesse Davis
Learning From Positive and Unlabeled Data: A Survey. CoRR (2018)
Jessa Bekker, Jesse Davis
Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction. AAAI (2018)
Jesse Davis, Björn Bringmann, Élisa Fromont, Derek Greene
Guest editors introduction to the special issue for the ECML PKDD 2018 journal track. Mach. Learn. 107 (8-10) (2018)
Ondrej Kuzelka, Jesse Davis, Steven Schockaert
Induction of Interpretable Possibilistic Logic Theories from Relational Data. CoRR (2017)
Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
Relational Marginal Problems: Theory and Estimation. CoRR (2017)
Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis
Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. AAAI (2017)
Tom Decroos, Jan Van Haaren, Vladimir Dzyuba, Jesse Davis
STARSS: A Spatio-Temporal Action Rating System for Soccer. MLSA@PKDD/ECML (2017)
Vincent Vercruyssen, Wannes Meert, Jesse Davis
Transfer Learning for Time Series Anomaly Detection. IAL@PKDD/ECML (2017)

Jesse Davis.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jesse Davis