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Researcher
Wannes Meert
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From1 Sep 2006 → 4 Aug 2020
Projects
1 - 10 of 23
- 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
- Counting shades of data quality: uncovering the notions of AI data quality, personal data quality and personal data accuracyFrom1 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Context Aware Anomaly Detection in Dynamic Industrial SettingsFrom1 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Automating Data WranglingFrom1 Jan 2022 → 31 Dec 2023Funding: IOF - technology validation in lab
- Data compression for probabilistic logicsFrom17 Feb 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Anomaly Detection in Massive Time SeriesFrom1 Jan 2021 → 31 Dec 2022Funding: IWT / VLAIO personal funding - innovation mandates
- Contextual Anomaly Detection for Complex Industrial AssetsFrom1 Jan 2021 → 30 Jun 2023Funding: VLAIO ICON Artificial Intelligence (AI-ICON)
Publications
11 - 20 of 117
- TSFuse: Automated feature construction for multiple time series data(2022)
Authors: Arne De Brabandere, Kilian Hendrickx, Wannes Meert, Jesse Davis
- Parameter Learning in ProbLog with Annotated Disjunctions(2022)
Authors: Wen-Chi Yang, Luc De Raedt, Wannes Meert
Pages: 378 - 391Number of pages: 14 - Know your limits: Machine learning with rejection for vehicle engineering(2022)
Authors: Kilian Hendrickx, Wannes Meert, Jesse Davis
Pages: 273 - 288Number of pages: 15 - Discrete Samplers for Approximate Inference in Probabilistic Machine learning(2022)
Authors: Shirui Zhao, Nimish Shirishbhai Shah, Wannes Meert, Marian Verhelst
Pages: 1221 - 1226 - Code Generation Using Machine Learning: A Systematic Review(2022)
Authors: Enrique Dehaerne, Stefan De Gendt, Wannes Meert
Pages: 82434 - 82455 - COBRAS+: Reusing Previously Obtained Constraints in Active Semi-Supervised Clustering(2021)
Authors: Aras Yurtman, Wannes Meert, Hendrik Blockeel
Pages: 184 - 202Number of pages: 19 - Evaluation of automated hypnogram analysis on multi-scored polysomnographies(2021)
Authors: Dries Van der Plas, Wannes Meert, Jesse Davis
Pages: 1 - 13 - Versatile Verification of Tree Ensembles(2021)
Authors: Laurens Devos, Wannes Meert, Jesse Davis
Pages: 2654 - 2664 - Verifying tree ensembles by reasoning about potential instances(2021)
Authors: Laurens Devos, Wannes Meert, Jesse Davis
Pages: 1 - 9 - Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits(2021)
Authors: Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shirishbhai Shah, Marian Verhelst
Pages: 283 - 295
Linked dataset
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