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W

Wannes Meert

department of computer science

26H-index
174Paper Count
2.4KCitation Count
Published Papers 24
Publication Date
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SubTSMD: discovering subspace motifs with temporal variations in multivariate time series
errData Mining and Knowledge Discovery
IF4.3
err2026-07-09
err0
PREAI
errLouis Carpentier; Laurens Devos; Wannes Meert; Mathias Verbeke
errShare
errSave
MotiPlus and MotiSet: Discovering the Best Set of Motiflets in Time Series
errMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
IF0
err2026-01-01
err0
PREAI
errFeremans, Len; Schafer, Patrick; Meert, Wannes
errShare
errSave
Queryable and Interpretable PU Learning Through Probabilistic Circuits
errMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT III
IF0
err2026-01-01
err0
PREAI
errBocklandt, Sieben; Derkinderen, Vincent; Vanderstraeten, Koen; Pijpops, Wouter; Jaspers, Kurt; De Raedt, Luc; Meert, Wannes
errShare
errSave
Quantitative evaluation of motif sets in time series
errData Mining and Knowledge Discovery
IF4.3
err2025-11-15
err0
PREAI
errDaan Van Wesenbeeck; Aras Yurtman; Wannes Meert; Hendrik Blockeel
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errSave
Correction: Steering the LoCoMotif: Using domain knowledge in time series motif discovery
errData Mining and Knowledge Discovery
IF4.3
err2025-11-06
err0
PREAI
errAras Yurtman; Daan Van Wesenbeeck; Wannes Meert; Hendrik Blockeel
errShare
errSave
Steering the LoCoMotif: Using domain knowledge in time series motif discovery
errData Mining and Knowledge Discovery
IF4.3
err2025-09-22
err0
PREAI
errAras Yurtman; Daan Van Wesenbeeck; Wannes Meert; Hendrik Blockeel
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errSave
AIA: A Customized Multi-Core RISC-V SoC for Discrete Sampling Workloads in 16 nm
errIEEE Journal of Solid-State Circuits
IF5.6
err2025-07-01
err0
PREAI
errShirui Zhao; Nimish Shah; Wannes Meert; Marian Verhelst
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errSave
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned
errMACHINE LEARNING
IF2.9
err2024-07-17
err3
errOAAI
errDavis, Jesse; Bransen, Lotte; Devos, Laurens; Jaspers, Arne; Meert, Wannes; Robberechts, Pieter; Van Haaren, Jan; Van Roy, Maaike
errShare
errSave
Time-Shifted Transformers for Driver Identification Using Vehicle Data
errIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
IF8.4
err2024-05-01
err1
errOAAI
errGovers, Wim; Yurtman, Aras; Aslandere, Turgay; Eikelenberg, Nicole; Meert, Wannes; Davis, Jesse
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errSave
Machine learning with a reject option: a survey
errMACHINE LEARNING
IF2.9
err2024-03-29
err4
PREAI
errHendrickx, Kilian; Perini, Lorenzo; van der Plas, Dries; Meert, Wannes; Davis, Jesse
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errSave
GraphOpt: Constrained-Optimization-Based Parallelization of Irregular Graphs
errIEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
IF6
err2022-12-01
err1
errOAAI
errShah, Nimish; Meert, Wannes; Verhelst, Marian
errShare
errSave
TSFuse: automated feature construction for multiple time series data
errMACHINE LEARNING
IF2.9
err2022-05-16
err5
errOAAI
errDe Brabandere, Arne; De Beeck, Tim Op; Hendrickx, Kilian; Meert, Wannes; Davis, Jesse
errShare
errSave
Code Generation Using Machine Learning: A Systematic Review
errIEEE ACCESS
IF3.6
err2022-01-01
err22
errOAAI
errDehaerne, Enrique; Dey, Bappaditya; Halder, Sandip; De Gendt, Stefan; Meert, Wannes
errShare
errSave
Evaluation of Automated Hypnogram Analysis on Multi-Scored Polysomnographies
errFRONTIERS IN DIGITAL HEALTH
IF3.8
err2021-07-26
err3
errOAAI
errVan der Plas, Dries; Verbraecken, Johan; Willemen, Marc; Meert, Wannes; Davis, Jesse
errShare
errSave
Crowdsourced Wireless Spectrum Anomaly Detection
errIEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
IF7
err2020-06-01
err19
errOAAI
errRajendran, Sreeraj; Lenders, Vincent; Meert, Wannes; Pollin, Sofie
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errSave
A general anomaly detection framework for fleet-based condition monitoring of machines
errMECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF8.9
err2020-05-01
err37
errOAAI
errHendrickx, Kilian; Meert, Wannes; Mollet, Yves; Gyselinck, Johan; Cornelis, Bram; Gryllias, Konstantinos; Davis, Jesse
errShare
errSave
Unsupervised Wireless Spectrum Anomaly Detection With Interpretable Features
errIEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
IF7
err2019-09-01
err63
errOAAI
errRajendran, Sreeraj; Meert, Wannes; Lenders, Vincent; Pollin, Sofie
errShare
errSave
Towards Resource-Efficient Classifiers for Always-On Monitoring
errMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT III
IF0
err2019-01-18
err0
PREAI
errVlasselaer, Jonas; Meert, Wannes; Verhelst, Marian
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errSave
Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification
errIEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
IF3.8
err2018-12-01
err4
errOAAI
errGalindez, Laura; Badami, Komail; Vlasselaer, Jonas; Meert, Wannes; Verhelst, Marian
errShare
errSave
Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors
errIEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
IF7
err2018-09-01
err510
errOAAI
errRatendran, Sreeraj; Meert, Wannes; Giustiniano, Domenico; Lenders, Vincent; Pollin, Sofie
errShare
errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
L
Luc De Raedt
H-index: 66 · Papers: 684
J
Johan Verbraecken
H-index: 56 · Papers: 455
S
Stefan De Gendt
H-index: 52 · Papers: 1.0K
S
Sofie Pollin
H-index: 47 · Papers: 621
H
Hendrik Blockeel
H-index: 41 · Papers: 398
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