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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
91 - 100 of 191
- AMIE: Automatic Monitoring of Indoor Exercises(2018)
Authors: Tom Decroos, Kurt Schütte, Tim Op De Beéck, Benedicte Vanwanseele, Jesse Davis
Pages: 424 - 439Number of pages: 16 - Introduction to the special issue for the ECML PKDD 2018 journal track(2018)
Authors: Jesse Davis
Pages: 1177 - 1178 - Guest editors introduction to the special issue for the ECML PKDD 2018 journal track(2018)
Authors: Jesse Davis
Pages: 1207 - 1208 - Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion(2018)
Authors: Tim Op De Beéck, Wannes Meert, Kurt Schütte, Benedicte Vanwanseele, Jesse Davis
Pages: 606 - 615Number of pages: 10 - PAC-reasoning in relational domains(2018)
Authors: Ondrej Kuzelka, Jesse Davis
Pages: 927 - 936 - Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data(2018)
Authors: Tom Decroos, Jan Van Haaren, Jesse Davis
Pages: 223 - 232 - Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model(2018)
Authors: Irma Ravkic, Jan Ramon, Jesse Davis
Pages: 913 - 948 - Data fusion of body-worn accelerometers and heart rate to predict VO2max during submaximal running(2018)
Authors: Arne De Brabandere, Tim Op De Beéck, Kurt Schütte, Wannes Meert, Benedicte Vanwanseele, Jesse Davis
- A fleet-wide approach for condition monitoring of similar machines using time-series clustering(2018)
Authors: Kilian Hendrickx, Wannes Meert, Konstantinos Gryllias, Jesse Davis
Pages: 101 - 110Number of pages: 10 - When Transparency Improves, Must Prices Reflect Fundamentals Better?(2018)
Authors: Jesse Davis
Pages: 2377 - 2414