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Researcher
Jesse Davis
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From1 Oct 2010 → 4 Aug 2020
Projects
1 - 10 of 39
- Sabbatical Jesse Jon Davis: Analyzing Spatio-temporal Data: The Next FrontierFrom1 Feb 2024 → TodayFunding: FWO Prices and sabbaticals (before FWO undefined), BOF - mobility
- A safer internet through analysis of domain name registrations and DNS trafficFrom1 Jan 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Flexible and Limited Supervision for Anomaly DetectionFrom1 Feb 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Postdoctoral researcher Explainable AI and Medical Natural Language ProcessingFrom10 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Deep Learning for Advanced Image-Based Semiconductor MetrologyFrom7 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Advanced Electrical Characterization with Machine Learning: Extracting Device Information with Less DataFrom5 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Novel approaches for flexible supervisionFrom1 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Trustworthy Planning and Scheduling with Learning and ExplanationsFrom1 Oct 2022 → TodayFunding: HORIZON.2.4 - Digital, Industry and Space
- Verification of tree ensembles: Algorithms and ApplicationsFrom26 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Automating the analysis of time series dataFrom14 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
41 - 50 of 191
- Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach(2021)
Authors: Pieter Robberechts, Jesse Davis
Pages: 87 - 92 - Lifted Variable Elimination(2021)
Authors: Jesse Davis, Hendrik Blockeel
Pages: 57 - 87Number of pages: 31 - Statistical Relational Learning(2021)
Authors: Jesse Davis
Pages: 39 - 53Number of pages: 15 - Mapping probability word problems to executable representations(2021)
Authors: Pietro Totis, Angelika Kimmig, Jesse Davis, Luc De Raedt
Pages: 3627 - 3640Number of pages: 14 - Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions(2021)
Authors: Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
Pages: 227 - 243Number of pages: 17 - A Bayesian Approach to In-Game Win Probability in Soccer(2021)
Authors: Pieter Robberechts, Jan Van Haaren, Jesse Davis
Pages: 3512 - 3521Number of pages: 10 - SoccerMix: Representing Soccer Actions with Mixture Models(2021)
Authors: Tom Decroos, Maaike Van Roy, Jesse Davis
Pages: 459 - 474Number of pages: 16 - Designing Anomaly Detection Algorithms that Exploit Flexible Supervision(2020)
Authors: Vincent Vercruyssen, Jesse Davis, Wannes Meert
- 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(2020)
Authors: Jill Emmerzaal, Arne De Brabandere, Jesse Davis, Ilse Jonkers, Benedicte Vanwanseele
- How does context affect player performance in football?(2020)
Authors: Pieter Robberechts, Jesse Davis, Jan Van Haaren
Pages: 58 - 77Number of pages: 20