< Back to previous page
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
1 - 10 of 174
- Semi-Supervised and Explainable Machine Learning with an Application to the Low-Voltage Grid(2023)
Authors: Jonas Soenen, Hendrik Blockeel
- Estimating Dynamic Time Warping Distance Between Time Series with Missing Data(2023)
Authors: Aras Yurtman, Jonas Soenen, Wannes Meert, Hendrik Blockeel
Pages: 221 - 237Number of pages: 17 - Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming(2023)
Authors: Kshitij Goyal, Wannes Meert, Hendrik Blockeel
Pages: 47 - 64Number of pages: 17 - Decision trees: from efficient prediction to responsible AI(2023)
Authors: Hendrik Blockeel, Laurens Devos
- Machine Learning with Constraints: Towards Trustworthy AI(2023)
Authors: Kshitij Goyal, Hendrik Blockeel
- Scenario Generation of Residential Electricity Consumption Through Sampling Of Historical Data(2023)
Authors: Jonas Soenen, Aras Yurtman, Wannes Meert, Hendrik Blockeel
- FeaBI: A Feature Selection-Based Framework for Interpreting KG Embeddings(2023)
Authors: Hendrik Blockeel
Pages: 599 - 617Number of pages: 19 - A scalable ensemble approach to forecast the electricity consumption of households(2022)
Authors: Lola Botman, Jonas Soenen, Konstantinos Theodorakos, Aras Yurtman, Jessa Bekker, Hendrik Blockeel, Bart De Moor
Pages: 757 - 768 - Efficient and Versatile Methods for Relational Machine Learning(2022)
Authors: Jonas Schouterden, Hendrik Blockeel, Jesse Davis
- COBRAS+: Reusing Previously Obtained Constraints in Active Semi-Supervised Clustering(2021)
Authors: Aras Yurtman, Wannes Meert, Hendrik Blockeel
Pages: 184 - 202Number of pages: 19