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Researcher
Hendrik Blockeel
- Disciplines:Data mining, Machine learning and decision making
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Responsible
From1 Aug 2020 → Today - Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From1 Oct 1999 → 30 Apr 2020
Projects
1 - 10 of 38
- Machine learning with tensors for hyper spectral imaging for agrofood and medical applicationsFrom25 Jan 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- The AI Legal Researcher – Using Natural Language Processing (NLP) for Legal ResearchFrom14 Dec 2023 → TodayFunding: BOF - postdoctoral mandates
- SPECTRAI - Spectral image Processing with Efficiently Compressed TensoRs and AIFrom1 Oct 2023 → TodayFunding: IOF - technology concept exploration
- Low rank tensor approximation techniques for up- and downdating of online time series clusteringFrom25 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Low rank tensor approximation techniques for up- and downdating of massive online time series clusteringFrom1 Jan 2023 → TodayFunding: FWO research project (including WEAVE projects)
- Advanced methods for analysis of structurally complex dataFrom1 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Time series analysis with the human in the loopFrom9 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Combined Reasoning and Learning ApproachesFrom25 Mar 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Contextual Anomaly Detection for Complex Industrial AssetsFrom1 Jan 2021 → 30 Jun 2023Funding: VLAIO ICON Artificial Intelligence (AI-ICON)
- IMPULS-AI-2021From1 Jan 2021 → 31 Dec 2023Funding: Department General Affairs and Finance
Publications
41 - 50 of 174
- Demystifying relational latent representations(2017)
Authors: Sebastijan Dumancic, Hendrik Blockeel
Pages: 63 - 77 - Actual Causation: Definitions and Principles(2016)
Authors: Sander Beckers, Hendrik Blockeel, Joost Vennekens
- Constraint-based clustering selection(2016)
Authors: Toon Van Craenendonck, Hendrik Blockeel
Pages: 1 - 3 - Dynamic early stopping for naive Bayes(2016)
Authors: Aäron Verachtert, Hendrik Blockeel, Jesse Davis
Pages: 2082 - 2088 - Unsupervised relational representation learning via clustering: Preliminary results(2016)
Authors: Sebastijan Dumancic, Hendrik Blockeel
- Theory reconstruction: A representation learning view on predicate invention(2016)
Authors: Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel
- Instance-level accuracy versus bag-level accuracy in multi-instance learning(2016)
Authors: Gitte Vanwinckelen, Vinicius Tragante Do O, Hendrik Blockeel
Pages: 313 - 341 - Using a human drug network for generating novel hypotheses about drugs(2016)
Authors: Hendrik Blockeel
Pages: 183 - 198 - Relational grounded language learning(2016)
Authors: Hendrik Blockeel
Pages: 1764 - 1765 - Learning language models from images with ReGLL(2016)
Authors: Hendrik Blockeel
Pages: 55 - 58