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ORCIDPeter Karsmakers
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- affiliation: KU Leuven, Department of Computer Science, Belgium
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2020 – today
- 2024
[j11]Pouya Mehrjouseresht
, Reda El Hail, Peter Karsmakers, Dominique M. M.-P. Schreurs:
Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar. Sensors 24(8): 2448 (2024)- [i6]Naïn Jonckers, Toon Vinck, Gert Dekkers, Peter Karsmakers, Jeffrey Prinzie:
Single-Event Upset Analysis of a Systolic Array based Deep Neural Network Accelerator. CoRR abs/2405.15381 (2024) - [i5]Maarten Meire, Quinten Van Baelen, Ted Ooijevaar, Peter Karsmakers:
Constraint Guided AutoEncoders for Joint Optimization of Condition Indicator Estimation and Anomaly Detection in Machine Condition Monitoring. CoRR abs/2409.11807 (2024) - [i4]Quinten Van Baelen, Peter Karsmakers:
Constraint Guided Model Quantization of Neural Networks. CoRR abs/2409.20138 (2024) - 2023
- [j10]Quinten Van Baelen, Peter Karsmakers:
Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation. Neurocomputing 556: 126636 (2023) - [c26]Sreenivasa Upadhyaya, Wim Buyens, Erik Vranken, Wim Desmet, Peter Karsmakers:
Assessment of Data Augmentation and Transfer Learning for Making PIG Cough Classifier Robust to Changing Farm Conditions. ICMLA 2023: 952-957 - 2022
- [j9]Gert Dekkers, Fernando Rosas, Toon van Waterschoot, Bart Vanrumste, Peter Karsmakers:
Dynamic sensor activation and decision-level fusion in wireless acoustic sensor networks for classification of domestic activities. Inf. Fusion 77: 196-210 (2022) - [c25]Ganesh Raam Kumarasamy, Hélène De Cannière, Julie Vranken, David Ruttens, Peter Karsmakers, Pieter M. Vandervoort:
Remote Monitoring of COVID-19 Patients Following Discharge from a Tertiary Care Center. CinC 2022: 1-4 - [c24]Quinten Van Baelen, Peter Karsmakers:
Constraint Guided Gradient Descent: Guided Training with Inequality Constraints. ESANN 2022 - [i3]Quinten Van Baelen, Peter Karsmakers:
Constraint Guided Gradient Descent: Guided Training with Inequality Constraints. CoRR abs/2206.06202 (2022) - 2021
- [j8]Yiyuan Zhang, Oluwatosin J. Babarinde, Pengxuan Han, Xiangyu Wang, Peter Karsmakers, Dominique M. M.-P. Schreurs, Sabine M. P. Verschueren, Bart Vanrumste:
Automatically Segmenting Physical Performance Test Items for Older Adults Using a Doppler Radar: A Proof of Concept Study. IEEE Access 9: 152765-152779 (2021) - [j7]Mina Mounir, Peter Karsmakers, Toon van Waterschoot:
Musical note onset detection based on a spectral sparsity measure. EURASIP J. Audio Speech Music. Process. 2021(1): 30 (2021) - [c23]Lode Vuegen, Peter Karsmakers:
Real-time On-edge Classification: an Application to Domestic Acoustic Event Recognition. ESANN 2021 - 2020
- [c22]Lode Vuegen, Peter Karsmakers:
On-edge adaptive acoustic models: an application to acoustic person presence detection. ESANN 2020: 679-684 - [c21]Mina Mounir, Peter Karsmakers, Toon van Waterschoot:
CNN-based Note Onset Detection using Synthetic Data Augmentation. EUSIPCO 2020: 171-175 - [c20]Yonas Y. Tefera, Maarten Meire, Stijn Luca, Peter Karsmakers:
Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using Acoustic and Vibration Signals: A Comparison Based on a Toy Data Set from a Coffee Vending Machine. IoT Streams/ITEM@PKDD/ECML 2020: 145-159
2010 – 2019
- 2019
- [c19]Maarten Meire, Peter Karsmakers, Lode Vuegen:
The Impact of Missing Labels and Overlapping Sound Events on Multi-label Multi-instance Learning for Sound Event Classification. DCASE 2019: 159-163 - [c18]Maarten Meire, Peter Karsmakers:
Comparison of Deep Autoencoder Architectures for Real-time Acoustic Based Anomaly Detection in Assets. IDAACS 2019: 786-790 - [c17]Mina Mounir, Peter Karsmakers, Toon van Waterschoot:
Annotations Time Shift: A Key Parameter in Evaluating Musical Note Onset Detection Algorithms. WASPAA 2019: 21-25 - 2018
- [i2]Gert Dekkers, Lode Vuegen, Toon van Waterschoot, Bart Vanrumste, Peter Karsmakers:
DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics. CoRR abs/1807.11246 (2018) - [i1]Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers:
A multi-layered energy consumption model for smart wireless acoustic sensor networks. CoRR abs/1812.06672 (2018) - 2017
- [c16]Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Bertold Van den Bergh, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, Peter Karsmakers:
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network. DCASE 2017: 32-36 - 2016
- [j6]Bert Van Den Broeck, Peter Karsmakers, Hugo Van hamme, Bart Vanrumste:
Noise robust footstep location estimation using a wireless acoustic sensor network. J. Ambient Intell. Smart Environ. 8(6): 665-679 (2016) - [c15]Mina Mounir, Peter Karsmakers, Toon van Waterschoot:
Guitar note onset detection based on a spectral sparsity measure. EUSIPCO 2016: 978-982 - 2015
- [j5]Carmine Garripoli, Marco Mercuri, Peter Karsmakers, Ping Jack Soh, Giovanni Crupi, Guy A. E. Vandenbosch, Calogero Pace, Paul Leroux, Dominique M. M.-P. Schreurs:
Embedded DSP-Based Telehealth Radar System for Remote In-Door Fall Detection. IEEE J. Biomed. Health Informatics 19(1): 92-101 (2015) - [c14]Lode Vuegen, Bert Van Den Broeck, Peter Karsmakers, Hugo Van hamme, Bart Vanrumste:
Monitoring activities of daily living using Wireless Acoustic Sensor Networks in clean and noisy conditions. EMBC 2015: 4966-4969 - [c13]Lode Vuegen, Bert Van Den Broeck, Peter Karsmakers, Hugo Van hamme, Bart Vanrumste:
Energy efficient monitoring of activities of daily living using wireless acoustic sensor networks in clean and noisy conditions. EUSIPCO 2015: 449-453 - [c12]Gert Dekkers, Toon van Waterschoot, Bart Vanrumste, Bert Van Den Broeck, Jort F. Gemmeke, Hugo Van hamme, Peter Karsmakers:
A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users. INTERSPEECH 2015: 746-750 - 2014
- [j4]Stijn Luca, Peter Karsmakers, Kris Cuppens, Tom Croonenborghs, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste:
Detecting rare events using extreme value statistics applied to epileptic convulsions in children. Artif. Intell. Medicine 60(2): 89-96 (2014) - [j3]Kris Cuppens, Peter Karsmakers, Anouk Van de Vel, Bert Bonroy, Milica Milosevic, Stijn Luca, Tom Croonenborghs, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste:
Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection. IEEE J. Biomed. Health Informatics 18(3): 1026-1033 (2014) - [c11]Marco Mercuri, Carmine Garripoli, Peter Karsmakers, Ping Jack Soh, Guy A. E. Vandenbosch, Calogero Pace, Paul Leroux, Dominique Schreurs:
Healthcare System for Non-invasive Fall Detection in Indoor Environment. ApplePies 2014: 145-152 - [c10]Stijn Luca, Peter Karsmakers, Bart Vanrumste:
Anomaly Detection Using the Poisson Process Limit for Extremes. ICDM 2014: 370-379 - 2013
- [c9]Kris Cuppens, Peter Karsmakers, Anouk Van de Vel, Bert Bonroy, Milica Milosevic, Lieven Lagae, Berten Ceulemans, Sabine Van Huffel, Bart Vanrumste:
Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers. ICPRAM 2013: 447-452 - [c8]Jort F. Gemmeke, Bart Ons, Netsanet M. Tessema, Hugo Van hamme, Janneke van de Loo, Guy De Pauw, Walter Daelemans, Jonathan Huyghe, Jan Derboven, Lode Vuegen, Bert Van Den Broeck, Peter Karsmakers, Bart Vanrumste:
Self-taught assistive vocal interfaces: an overview of the ALADIN project. INTERSPEECH 2013: 2039-2043 - [c7]Lode Vuegen, Bert Van Den Broeck, Peter Karsmakers, Hugo Van hamme, Bart Vanrumste:
Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a~preliminary study. SLPAT 2013: 113-118 - [c6]Jort F. Gemmeke, Lode Vuegen, Peter Karsmakers, Bart Vanrumste, Hugo Van hamme:
An exemplar-based NMF approach to audio event detection. WASPAA 2013: 1-4 - 2012
- [j2]Kris De Brabanter, Peter Karsmakers, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor:
Confidence bands for least squares support vector machine classifiers: A regression approach. Pattern Recognit. 45(6): 2280-2287 (2012) - 2011
- [j1]Peter Karsmakers, Kristiaan Pelckmans, Kris De Brabanter, Hugo Van hamme, Johan A. K. Suykens:
Sparse conjugate directions pursuit with application to fixed-size kernel models. Mach. Learn. 85(1-2): 109-148 (2011) - [c5]Glen Debard, Peter Karsmakers, Mieke Deschodt, Ellen Vlaeyen, Jonas Van Den Bergh, Eddy Dejaeger, Koen Milisen, Toon Goedemé, Tinne Tuytelaars, Bart Vanrumste:
Camera Based Fall Detection Using Multiple Features Validated with Real Life Video. Intelligent Environments (Workshops) 2011: 441-450 - [c4]Glen Debard, Peter Karsmakers, Mieke Deschodt, Ellen Vlaeyen, Eddy Dejaeger, Koen Milisen, Toon Goedemé, Bart Vanrumste, Tinne Tuytelaars:
Camera-Based Fall Detection on Real World Data. Theoretical Foundations of Computer Vision 2011: 356-375
2000 – 2009
- 2008
- [c3]Tingyao Wu, Peter Karsmakers, Hugo Van hamme, Dirk Van Compernolle:
Comparison of variable selection methods and classifiers for native accent identification. INTERSPEECH 2008: 305-308 - 2007
- [c2]Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens:
Multi-class kernel logistic regression: a fixed-size implementation. IJCNN 2007: 1756-1761 - [c1]Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens, Hugo Van hamme:
Fixed-size kernel logistic regression for phoneme classification. INTERSPEECH 2007: 78-81
Coauthor Index
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last updated on 2024-10-21 20:30 CEST by the dblp team
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