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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
21 - 30 of 174
- Learning Symbolic Latent Representations for Relational Data(2018)
Authors: Sebastijan Dumancic, Hendrik Blockeel
- COBRAS: Interactive clustering with pairwise queries(2018)
Authors: Toon Van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
Pages: 353 - 366 - COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series(2018)
Authors: Toon Van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
Pages: 179 - 193 - Interactive time series clustering with COBRAS-TS(2018)
Authors: Toon Van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
Pages: 654 - 657Number of pages: 4 - MERCS: Multi-directional Ensembles of Regression and Classification Trees(2018)
Authors: Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel
Pages: 4276 - 4283Number of pages: 8 - A machine learning based framework to identify and classify long terminal repeat retrotransposons(2018)
Authors: Leander Schietgat, Celine Vens, Jan Ramon, Hendrik Blockeel
- Declarative data analysis(2018)
Authors: Hendrik Blockeel
Pages: 217 - 223 - Elements of an automatic data scientist(2018)
Authors: Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Gust Verbruggen
Pages: 3 - 14 - Comparing the run-time efficiency of coverage tests in relational learning(2018)
Authors: Jonas Schouterden, Jesse Davis, Hendrik Blockeel
Number of pages: 12 - Towards Declarative Statistical Inference(2017)
Authors: Gitte Vanwinckelen, Hendrik Blockeel