Wannes Meert

Wannes Meert

Katholieke Universiteit Leuven

H-index: 31

Europe-Belgium

About Wannes Meert

Wannes Meert, With an exceptional h-index of 31 and a recent h-index of 25 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Artificial intelligence, machine learning, probabilistic graphical models, statistical relational AI, anomaly detection.

His recent articles reflect a diverse array of research interests and contributions to the field:

A machine learning approach towards SKILL code autocompletion

Machine learning with a reject option: A survey

Contextual anomaly detection in time series: A temporal context perspective

Pattern-based Time Series Semantic Segmentation with Gradual State Transitions

A novel reject option applied to sleep stage scoring

GraphOpt: Constrained-Optimization- Based Parallelization of Irregular Workloads for Multicore Processors

Efficient Execution of Irregular Dataflow Graphs: Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra

Deriving Comprehensible Theories from Probabilistic Circuits

Wannes Meert Information

University

Position

DTAI

Citations(all)

3648

Citations(since 2020)

2698

Cited By

2497

hIndex(all)

31

hIndex(since 2020)

25

i10Index(all)

59

i10Index(since 2020)

47

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

View Google Scholar Profile

Wannes Meert Skills & Research Interests

Artificial intelligence

machine learning

probabilistic graphical models

statistical relational AI

anomaly detection

Top articles of Wannes Meert

Title

Journal

Author(s)

Publication Date

A machine learning approach towards SKILL code autocompletion

Enrique Dehaerne

Bappaditya Dey

Wannes Meert

Vic De Ridder

2024/4/10

Machine learning with a reject option: A survey

Machine Learning

Kilian Hendrickx

Lorenzo Perini

Dries Van der Plas

Wannes Meert

Jesse Davis

2024/3/29

Contextual anomaly detection in time series: A temporal context perspective

Louis Carpentier

Wannes Meert

Mathias Verbeke

2024/3/26

Pattern-based Time Series Semantic Segmentation with Gradual State Transitions

Louis Carpentier

Len Feremans

Wannes Meert

Mathias Verbeke

2024

A novel reject option applied to sleep stage scoring

Dries Van der Pias

Wannes Meert

Johan Verbraecken

Jesse Davis

2023

GraphOpt: Constrained-Optimization- Based Parallelization of Irregular Workloads for Multicore Processors

Nimish Shah

Wannes Meert

Marian Verhelst

2023/4/26

Efficient Execution of Irregular Dataflow Graphs: Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra

Nimish Shah

Wannes Meert

Marian Verhelst

2023/8/14

Deriving Comprehensible Theories from Probabilistic Circuits

arXiv preprint arXiv:2311.13379

Sieben Bocklandt

Wannes Meert

Koen Vanderstraeten

Wouter Pijpops

Kurt Jaspers

2023/11/22

DAG Processing Unit Version 1 (DPU): Efficient Execution of Irregular Workloads on a Multicore Processor

Nimish Shah

Wannes Meert

Marian Verhelst

2023/4/26

Measuring the Dissimilarity Between Time Series with Missing Data

Springer in the Lecture Notes in Computer Science Series (LNCS)

Aras Yurtman

Jonas Soenen

Wannes Meert

2023/6/6

Time-Shifted Transformers for Driver Identification Using Vehicle Data

IEEE Transactions on Intelligent Transportation Systems

Wim Govers

Aras Yurtman

Turgay Aslandere

Nicole Eikelenberg

Wannes Meert

...

2023/11/1

DAG Processing Unit Version 2 (DPU-v2): Efficient Execution of Irregular Workloads on a Spatial Datapath

Nimish Shah

Wannes Meert

Marian Verhelst

2023/4/26

Scenario generation of residential electricity consumption through sampling of historical data

Sustainable Energy, Grids and Networks

Jonas Soenen

Aras Yurtman

Thijs Becker

Reinhilde D’hulst

Koen Vanthournout

...

2023/6/1

Estimating Dynamic Time Warping Distance Between Time Series with Missing Data

Aras Yurtman

Jonas Soenen

Wannes Meert

Hendrik Blockeel

2023/9/18

Irregular Workloads at Risk of Losing the Hardware Lottery

Nimish Shah

Wannes Meert

Marian Verhelst

2023/4/26

AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection

arXiv preprint arXiv:2305.12958

Jonas Soenen

Elia Van Wolputte

Vincent Vercruyssen

Wannes Meert

Hendrik Blockeel

2023/5/22

Detecting Evasion Attacks in Deployed Tree Ensembles

Laurens Devos

Lorenzo Perini

Wannes Meert

Jesse Davis

2023/9/18

Pattern-based time series segmentation

Louis Carpentier

Len Feremans

Wannes Meert

Mathias Verbeke

2023/3/30

Suitable Data Representation: A Study of Fixed-Point, Floating-Point, and PositTM Formats for Probabilistic AI

Nimish Shah

Wannes Meert

Marian Verhelst

2023/4/26

Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review

Thibault Lechien

Enrique Dehaerne

Bappaditya Dey

Victor Blanco

Stefan De Gendt

...

2023/8/16

See List of Professors in Wannes Meert University(Katholieke Universiteit Leuven)

Co-Authors

H-index: 73
Luc De Raedt

Luc De Raedt

Katholieke Universiteit Leuven

H-index: 47
Sofie Pollin

Sofie Pollin

Katholieke Universiteit Leuven

H-index: 42
Hendrik Blockeel

Hendrik Blockeel

Katholieke Universiteit Leuven

H-index: 40
Guy Van den Broeck

Guy Van den Broeck

University of California, Los Angeles

H-index: 39
Marian Verhelst

Marian Verhelst

Katholieke Universiteit Leuven

H-index: 36
Jesse Davis

Jesse Davis

Katholieke Universiteit Leuven

academic-engine