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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
91 - 100 of 117
- Skolemization for weighted first-order model counting(2014)
Authors: Guy Van den Broeck, Wannes Meert
Pages: 1 - 10 - Efficient probabilistic inference for dynamic relational models(2014)
Authors: Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt
Pages: 131 - 134 - Lifted inference for probabilistic logic programs(2014)
Authors: Wannes Meert, Guy Van den Broeck
Pages: 1 - 8 - Skolemization for weighted first-order model counting(2014)
Authors: Guy Van den Broeck, Wannes Meert, Adnan Darwiche
Pages: 1 - 10 - Tractable learning of liftable Markov logic networks(2014)
Authors: Jan Van Haaren, Guy Van den Broeck, Wannes Meert, Jesse Davis
Pages: 1 - 9 - Skolemization for Weighted First-Order Model Counting(2014)
Authors: Guy Van den Broeck, Wannes Meert, Adnan Darwiche
Pages: 111 - 120 - Context- and cost-aware feature selection in ultra-low-power sensor interfaces(2014)
Authors: Steven Lauwereins, Komail Badami, Wannes Meert, Marian Verhelst
Pages: 93 - 98 - Context- and cost-aware feature selection in ultra-low-power sensor interfaces(2013)
Authors: Komail Badami, Wannes Meert, Marian Verhelst
Pages: 93 - 98 - Lifted generative parameter learning(2013)
Authors: Guy Van den Broeck, Wannes Meert, Jesse Davis
Pages: 87 - 94 - Bitsquatting: Exploiting bit-flips for fun, or profit?(2013)
Authors: Nick Nikiforakis, Steven Van Acker, Wannes Meert, Lieven Desmet, Frank Piessens, Wouter Joosen
Pages: 989 - 998
Linked dataset
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