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 14 results
- Contextual Anomaly Detection for Complex Industrial AssetsFrom1 Jan 2021 → TodayFunding: VLAIO ICON Artificial Intelligence (AI-ICON)
- AI in Industry: Learning and Reasoning for AutomationFrom1 Jan 2021 → TodayFunding: IOF - mandates
- Anomaly Detection in Massive Time SeriesFrom1 Jan 2021 → TodayFunding: IWT / VLAIO personal funding - innovation mandates
- Verifying Learning Artificial Intelligence SystemsFrom1 Jan 2018 → 31 Dec 2021Funding: FWO EOS
- Data-driven logistics.From1 Jan 2018 → 31 Dec 2021Funding: FWO Strategic Basic Research (SBO)
- Knowledge-Based Software Engineering: IDP4From1 Oct 2016 → 30 Sep 2018Funding: IOF - Industrial Research Fund
- Hardware-Aware Probabilistic Models: Learning, Inference and Use CasesFrom7 Oct 2015 → 24 Nov 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
- Designing Anomaly Detection Algorithms that Exploit Flexible SupervisionFrom28 Sep 2015 → 18 Dec 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
- Low Power Wide Area Networks: System Analysis and OptimizationFrom1 Oct 2014 → 30 Jun 2018Funding: Own budget, for example: patrimony, inscription fees, gifts
- EDA for hardware/software generation based on design space exploration.From1 Apr 2014 → 31 Mar 2015Funding: IOF - Industrial Research Fund
Publications
1 - 10 of 88 results
- COBRAS+: Reusing Previously Obtained Constraints in Active Semi-Supervised Clustering(2021)
Authors: Aras Yurtman, Wannes Meert, Hendrik Blockeel, Luis A Leiva, Cédric Pruski, Réka Markovich, Amro Najjar, Christoph Schommer
Pages: 184 - 202Number of pages: 19 - Evaluation of automated hypnogram analysis on multi-scored polysomnographies(2021)
Authors: Dries Van der Plas, Johan Verbraecken, Marc Willemen, Wannes Meert, Jesse Davis
Pages: 1 - 13 - Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits(2021)
Authors: Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shirishbhai Shah, Marian Verhelst
Pages: 283 - 295 - PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm(2021)
Authors: Nimish Shirishbhai Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst, LC Fujino, JH Anderson, L Belostotski, D Dunwell, V Gaudet, et al.
Pages: 1 - 3 - Designing Anomaly Detection Algorithms that Exploit Flexible Supervision(2020)
Authors: Vincent Vercruyssen, Jesse Davis, Wannes Meert
- Hardware-Aware Probabilistic Models: Learning, Inference and Use Cases(2020)
Authors: Laura Isabel Galindez Olascoaga, Marian Verhelst, Wannes Meert
- Similarity-based anomaly score for fleet-based condition monitoring(2020)
Authors: Kilian Hendrickx, Wannes Meert, Bram Cornelis, Konstantinos Gryllias, Jesse Davis, Saxena Abhinav
- Crowdsourced wireless spectrum anomaly detection(2020)
Authors: Sreeraj Rajendran, Vincent Lenders, Wannes Meert, Sofie Pollin
Number of pages: 10 - A general anomaly detection framework for fleet-based condition monitoring of machines(2020)
Authors: Kilian Hendrickx, Wannes Meert, Yves Mollet, Johan Gyselinck, Bram Cornelis, Konstantinos Gryllias, Jesse Davis
Number of pages: 21 - Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams(2020)
Authors: Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shirishbhai Shah, Guy Van den Broeck, Marian Verhelst, Michael R Berthold, Ad Feelders, Georg Krempl
Pages: 184 - 196