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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
31 - 40 of 117
- Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection(2020)
Authors: Vincent Vercruyssen, Wannes Meert, Jesse Davis
Pages: 6054 - 6061 - Fast gradient boosting decision trees with bit-level data structures(2020)
Authors: Laurens Devos, Wannes Meert, Jesse Davis
Pages: 590 - 606 - Learning parsers for technical drawings(2020)
Authors: Dries Van Daele, Wannes Meert
Pages: 51 - 56Number of pages: 6 - "Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series(2020)
Authors: Vincent Vercruyssen, Wannes Meert, Jesse Davis
Pages: 127 - 135Number of pages: 9 - Fleet-based health monitoring for end-of-production-line and operational testing(2020)
Authors: Kilian Hendrickx, Wannes Meert, Konstantinos Gryllias, Jesse Davis
Pages: 1 - 16Number of pages: 16 - Pattern-Based Anomaly Detection in Mixed-Type Time Series(2020)
Authors: Vincent Vercruyssen, Wannes Meert
Pages: 240 - 256Number of pages: 16 - Acceleration of probabilistic reasoning through custom processor architecture(2020)
Authors: Nimish Shirishbhai Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
Pages: 322 - 325 - A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes(2020)
Authors: Mathias Verbeke, Wannes Meert
Pages: 414 - 425Number of pages: 12 - Anomaly Detection for CERN Beam Transfer Installations Using Machine Learning(2019)
Authors: Wannes Meert, Elia Van Wolputte
Pages: 1066 - 1070 - Towards Hardware-Aware Tractable Learning of Probabilistic Models(2019)
Authors: Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shirishbhai Shah, Marian Verhelst
Linked dataset
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