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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
11 - 20 of 174
- Tackling noise in active semi-supervised clustering(2021)
Authors: Jonas Soenen, Sebastijan Dumancic, Hendrik Blockeel
Pages: 121 - 136 - Lifted Variable Elimination(2021)
Authors: Jesse Davis, Hendrik Blockeel
Pages: 57 - 87Number of pages: 31 - Combining Predictions Under Uncertainty: The Case of Random Decision Trees(2021)
Authors: Hendrik Blockeel
Pages: 78 - 93Number of pages: 16 - Missing value imputation with MERCS: a faster alternative to MissForest(2020)
Authors: Elia Van Wolputte, Hendrik Blockeel
Pages: 502 - 516 - Multi-Directional Rule Set Learning(2020)
Authors: Jonas Schouterden, Jesse Davis, Hendrik Blockeel
Pages: 517 - 532Number of pages: 16 - Towards Better Evaluation of Multi-Target Regression Models(2020)
Authors: Evgeniya Korneva, Hendrik Blockeel
Pages: 353 - 362Number of pages: 10 - LazyBum: Decision tree learning using lazy propositionalization(2020)
Authors: Jonas Schouterden, Jesse Davis, Hendrik Blockeel
Pages: 98 - 113Number of pages: 16 - Model Selection for Multi-Directional Ensemble of Regression and Classification Trees(2019)
Authors: Evgeniya Korneva, Hendrik Blockeel
Number of pages: 14 - Learning Relational Representations with Auto-encoding Logic Programs(2019)
Authors: Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
Pages: 6081 - 6087 - Interactive Semi-Supervised Clustering(2018)
Authors: Toon Van Craenendonck, Hendrik Blockeel