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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
131 - 140 of 191
- Constructing Markov logic networks from first-order default rules(2016)
Authors: Ondrej Kuzelka, Jesse Davis
Pages: 91 - 105 - Treatment of disease: The role of knowledge representation for treatment selection(2016)
Authors: Jesse Davis
Pages: 235 - 242 - Learning the structure of dynamic hybrid relational models(2016)
Authors: Davide Nitti, Irma Ravkic, Jesse Davis, Luc De Raedt
Pages: 1283 - 1290 - Analyzing volleyball match data from the 2014 World Championships using machine learning techniques(2016)
Authors: Jan Van Haaren, Jesse Davis
Pages: 627 - 634 - A comprehensive comparison of two MEDLINE annotators for disease and gene linkage: sometimes less is more(2016)
Authors: Sarah Elshal, Jaak Simm, Ádám Arany, Pooya Zakeri, Jesse Davis, Yves Moreau
Pages: 765 - 778 - Predicting adverse drug events from electronic medical records(2016)
Authors: Jesse Davis
Pages: 243 - 258 - A Note on the Evaluation of Mutation Prioritization Algorithms(2015)
Authors: Dusan Popovic, Jesse Davis, Alejandro Sifrim, Bart De Moor
Pages: 1351 - 1357 - Tractable learning for complex probability queries(2015)
Authors: Jessa Bekker, Jesse Davis
Pages: 2233 - 2241 - Automatically discovering offensive patterns in soccer match data(2015)
Authors: Jan Van Haaren, Vladimir Dzyuba, Jesse Davis
Pages: 286 - 297 - Mining hierarchical pathology data using inductive logic programming(2015)
Authors: Tim Op De Beéck, Jan Van Haaren, Jesse Davis
Pages: 76 - 85