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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
141 - 150 of 174
- Learning non-confluent NLC graph grammar rules(2009)
Authors: Hendrik Blockeel
Pages: 60 - 69 - A community-based platform for machine learning experimentation(2009)
Authors: Joaquin Vanschoren, Hendrik Blockeel
Pages: 750 - 754 - Dynamic data analysis and data mining for prediction of clinical stability(2009)
Authors: Fabian Guiza Grandas, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greet Van den Berghe, Daniel Berckmans
Pages: 590 - 594 - Organizing the world’s machine learning information(2008)
Authors: Joaquin Vanschoren, Hendrik Blockeel
Pages: 693 - 708 - Learning directed probabilistic logical models: Ordering-search versus structure-search(2008)
Authors: Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
Pages: 99 - 133 - Empirical asymmetric selective transfer in multi-objective decision trees(2008)
Authors: Beau Piccart, Jan Struyf, Hendrik Blockeel
Pages: 64 - 75 - A comparison between neural network methods for learning aggregate functions(2008)
Authors: Werner Uwents, Hendrik Blockeel, JF Boulicaut, MR Berthold, T Horvath
Pages: 88 - 99 - A comparison between neural network methods for learning aggregate functions(2008)
Authors: Werner Uwents, Hendrik Blockeel
Pages: 88 - 99 - An efficiently computable graph-based metric for the classification of small molecules(2008)
Authors: Leander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
Pages: 197 - 209 - Learning aggregate functions with neural networks using a cascade-correlation approach(2008)
Authors: Werner Uwents, Hendrik Blockeel
Pages: 315 - 329