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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
101 - 110 of 191
- Relationships between the external and internal training load in professional soccer: what can we learn from machine learning?(2018)
Authors: Arne Jaspers, Tim Op De Beéck, Filip Staes, Jesse Davis, Werner Helsen
Pages: 625 - 630 - Estimating rule quality for knowledge base completion with the relationship between coverage assumption(2018)
Authors: Jesse Davis
Pages: 1 - 9 - Estimating the class prior in positive and unlabeled data through decision tree induction(2018)
Authors: Jessa Bekker, Jesse Davis
Pages: 2712 - 2719Number of pages: 8 - Relational marginal problems: Theory and estimation(2018)
Authors: Ondrej Kuzelka, Yuyi Wang, Jesse Davis
Pages: 1 - 8 - Query log analysis: Detecting anomalies in DNS traffic at a TLD resolver(2018)
Authors: Pieter Robberechts, Jesse Davis, Wannes Meert
Pages: 55 - 67 - Semi-supervised Anomaly Detection with an Application to Water Analytics(2018)
Authors: Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Jesse Davis
Pages: 527 - 536Number of pages: 10 - Relational Marginal Problems: Theory and Estimation(2018)
Authors: Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
Pages: 6384 - 6391Number of pages: 8 - Comparing the run-time efficiency of coverage tests in relational learning(2018)
Authors: Jonas Schouterden, Jesse Davis, Hendrik Blockeel
Number of pages: 12 - Towards real-world biomechanical detection of fatigue, energy, and injury in runners using wearable trunk accelerometry(2017)
Authors: Kurt Schütte, Benedicte Vanwanseele, Daniel Berckmans, Jesse Davis
- Predicting the potential of professional soccer players(2017)
Authors: Tom Decroos, Jan Van Haaren, Jesse Davis
Pages: 1 - 10