< 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 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
21 - 30 of 117
- An Automated Engineering Assistant: Learning Parsers for Technical Drawings.(2021)
Authors: Dries Van Daele, Nicholas Decleyre, Wannes Meert
Pages: 15195 - 15203 - 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 - Lifted Aggregation and Skolemization for Directed Models(2021)
Authors: Wannes Meert
Pages: 113 - 145Number of pages: 33 - Automated reasoning and learning for automated payroll management(2021)
Authors: Sebastijan Dumancic, Wannes Meert
Pages: 15107 - 15116 - 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
- A general anomaly detection framework for fleet-based condition monitoring of machines(2020)
Authors: Kilian Hendrickx, Wannes Meert, Konstantinos Gryllias, Jesse Davis
- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams(2020)
Authors: Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shirishbhai Shah, Marian Verhelst
Pages: 184 - 196
Linked dataset
1 - 1 of 1