- Wei Sun, Mingxiao Li, Damien Sileo
, Jesse Davis, Marie-Francine Moens:
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence. CoRR abs/2310.01299 (2023) - Jesse Chen, Dharun Anandayuvaraj, James C. Davis, Sazzadur Rahaman:
A Unified Taxonomy and Evaluation of IoT Security Guidelines. CoRR abs/2310.01653 (2023) - 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): 2860 (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): 3698 (2022) - Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
:
Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity. AAAI 2022: 4128-4136 - Jonas Schouterden, Jessa Bekker
, Jesse Davis
, Hendrik Blockeel
:
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias. AAAI 2022: 4137-4145 - Arne De Brabandere, Zhenxiang Cao, Maarten De Vos
, Alexander Bertrand
, Jesse Davis
:
Semi-supervised Change Point Detection Using Active Learning. DS 2022: 74-88 - Pieter Robberechts
, Wannes Meert
, Jesse Davis
:
Elastic Product Quantization for Time Series. DS 2022: 157-172 - 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: 8-22 - Jeroen Clijmans, Maaike Van Roy, Jesse Davis
:
Looking Beyond the Past: Analyzing the Intrinsic Playing Style of Soccer Teams. ECML/PKDD (6) 2022: 370-385 - Thomas Dierckx
, Jesse Davis
, Wim Schoutens
:
Towards Data-Driven Volatility Modeling with Variational Autoencoders. PKDD/ECML Workshops (2) 2022: 97-111 - Loren Nuyts
, Laurens Devos
, Wannes Meert
, Jesse Davis
:
Bitpaths: Compressing Datasets Without Decreasing Predictive Performance. PKDD/ECML Workshops (1) 2022: 261-268 - Vincent Vercruyssen
, Lorenzo Perini, Wannes Meert
, Jesse Davis
:
Multi-domain Active Learning for Semi-supervised Anomaly Detection. ECML/PKDD (4) 2022: 485-501 - Ulf Brefeld, Jesse Davis
, Jan Van Haaren, Albrecht Zimmermann
:
Machine Learning and Data Mining for Sports Analytics - 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers. Communications in Computer and Information Science 1571, Springer 2022, ISBN 978-3-031-02043-8 [contents] - Pieter Robberechts, Wannes Meert, Jesse Davis:
Elastic Product Quantization for Time Series. CoRR abs/2201.01856 (2022) - Laurens Devos, Wannes Meert, Jesse Davis:
Adversarial Example Detection in Deployed Tree Ensembles. CoRR abs/2206.13083 (2022) - 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: 707589 (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): 6080 (2021) - Kilian Hendrickx
, Wannes Meert
, Bram Cornelis, Jesse Davis
:
Know Your Limits: Machine Learning with Rejection for Vehicle Engineering. ADMA 2021: 273-288 - 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: 3627-3640 - Laurens Devos, Wannes Meert, Jesse Davis:
Versatile Verification of Tree Ensembles. ICML 2021: 2654-2664 - Pieter Robberechts
, Jan Van Haaren, Jesse Davis
:
A Bayesian Approach to In-Game Win Probability in Soccer. KDD 2021: 3512-3521 - Laurens Devos
, Wannes Meert
, Jesse Davis
:
Verifying Tree Ensembles by Reasoning about Potential Instances. SDM 2021: 450-458 - Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis:
Leaving Goals on the Pitch: Evaluating Decision Making in Soccer. CoRR abs/2104.03252 (2021) - Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas, Wannes Meert, Jesse Davis:
Machine Learning with a Reject Option: A survey. CoRR abs/2107.11277 (2021) - Ulf Brefeld, Jesse Davis, Martin Lames, James J. Little:
Machine Learning in Sports (Dagstuhl Seminar 21411). Dagstuhl Reports 11(9): 45-63 (2021) - 2020
- Jessa Bekker
, Jesse Davis
:
Learning from positive and unlabeled data: a survey. Mach. Learn. 109(4): 719-760 (2020) - Judah Schvimer, A. Jesse Jiryu Davis, Max Hirschhorn:
eXtreme Modelling in Practice. Proc. VLDB Endow. 13(9): 1346-1358 (2020) - Aviad Levis
, Yoav Y. Schechner, Anthony B. Davis, Jesse Loveridge
:
Multi-View Polarimetric Scattering Cloud Tomography and Retrieval of Droplet Size. Remote. Sens. 12(17): 2831 (2020)