< Back to previous page
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 15
- Automating Data WranglingFrom1 Jan 2022 → TodayFunding: IOF - technology validation in lab
- AI in Industry: Learning and Reasoning for AutomationFrom1 Jan 2021 → TodayFunding: IOF - mandates
- Contextual Anomaly Detection for Complex Industrial AssetsFrom1 Jan 2021 → TodayFunding: VLAIO ICON Artificial Intelligence (AI-ICON)
- 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
Publications
1 - 10 of 92
- 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 - 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 - PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm(2021)
Authors: Nimish Shirishbhai Shah, Shirui Zhao, Wannes Meert, Marian Verhelst
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, Konstantinos Gryllias, Jesse Davis
- Crowdsourced wireless spectrum anomaly detection(2020)
Authors: Sreeraj Rajendran, 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, Konstantinos Gryllias, Jesse Davis
Number of pages: 21