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Career
·
Associate Professor
,
KU Leuven
2018–
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Co-founder
,
ADVISE
2013–
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Assistant Professor
,
KU Leuven
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M.Sc. in Artificial Intelligence
,
KU Leuven
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PhD Student
,
KU Leuven
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Professor in (embedded) signal processing & machine learning
,
KU Leuven
Publications
(192)
LS-SVMlab Toolbox User's Guide version 1.7
2003
193
cited
Analysis of an Indoor Biomedical Radar-Based System for Health Monitoring
IEEE transactions on microwave theory and techniques · 2013
165
cited
LS-SVMlab Toolbox User's Guide
2010
158
cited
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network
Workshop on Detection and Classification of Acoustic Scenes and Events · 2017
116
cited
Embedded DSP-Based Telehealth Radar System for Remote In-Door Fall Detection
IEEE journal of biomedical and health informatics · 2015
92
cited
Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection
IEEE journal of biomedical and health informatics · 2014
62
cited
Camera-Based Fall Detection on Real World Data
Theoretical Foundations of Computer Vision · 2011
60
cited
Multi-class kernel logistic regression: a fixed-size implementation
IEEE International Joint Conference on Neural Network · 2007
60
cited
Time-domain generalized cross correlation phase transform sound source localization for small microphone arrays
2012 5th European DSP Education and Research Conference (EDERC) · 2012
51
cited
AN MFCC-GMM APPROACH FOR EVENT DETECTION AND CLASSIFICATION
2013
47
cited
DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics
arXiv.org · 2018
42
cited
Automatic in-door fall detection based on microwave radar measurements
European Radar Conference · 2012
40
cited
Self-taught assistive vocal interfaces: an overview of the ALADIN project
Interspeech · 2013
40
cited
Detecting rare events using extreme value statistics applied to epileptic convulsions in children
Artif. Intell. Medicine · 2014
36
cited
Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a preliminary study
Workshop on Speech and Language Processing for Assistive Technologies · 2013
34
cited
Confidence bands for least squares support vector machine classifiers: A regression approach
Pattern Recognition · 2012
30
cited
Camera Based Fall Detection Using Multiple Features Validated with Real Life Video
Australasian Conference on Interactive Entertainment · 2011
26
cited
Fixed-Size LS-SVM Applied to the Wiener-Hammerstein Benchmark
2009
26
cited
Comparison of Deep Autoencoder Architectures for Real-time Acoustic Based Anomaly Detection in Assets
International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications · 2019
21
cited
Sparse conjugate directions pursuit with application to fixed-size kernel models
Machine-mediated learning · 2011
19
cited
Show all 192 papers →
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Peter Karsmakers | Researcher Profile | Sotabase | Sotabase