< 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
21 - 30 of 38
- Learning Symbolic Latent Representations for Relational DataFrom2 Sep 2014 → 11 Dec 2018Funding: Own budget, for example: patrimony, inscription fees, gifts
- A declarative framework for clustering.From30 Jun 2014 → 31 Dec 2018Funding: IWT personal funding - strategic basic research grants
- Graph mining for computational biologyFrom3 Sep 2013 → 24 Mar 2019Funding: Own budget, for example: patrimony, inscription fees, gifts
- Self-learning, stepped sensor interfaceFrom1 Jan 2013 → 31 Dec 2016Funding: FWO research project (including WEAVE projects)
- Declarative modeling for machine learning and data mining.From1 Jan 2013 → 31 Dec 2017Funding: BOF - Concerted Research Project from 1994
- Languages and Methods for Query-oriented Data Mining in BioinformaticsFrom3 Dec 2012 → 30 Jun 2018Funding: Own budget, for example: patrimony, inscription fees, gifts
- Actual Causation: definitions, algorithms and applications.From9 Jan 2012 → 28 Oct 2016Funding: IWT personal funding - strategic basic research grants
- Declarative experimentation for machine learning.From1 Jan 2011 → 31 Dec 2014Funding: FWO research project
- Efficient reasoning and learning with relational probabilistic models.From1 Oct 2010 → 30 Sep 2013Funding: FWO fellowships
- Using machine learning methods for annotation of transposable elements.From1 Oct 2010 → 30 Sep 2013Funding: BOF - Other initiatives
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