Multi-class kernel logistic regression: a fixed-size implementation. - Peter Karsmakers; Kristiaan Pelckmans; Johan A. K. Suykens (IJCNN, 2007)

Fixed-size kernel logistic regression for phoneme classification. - Peter Karsmakers; Kristiaan Pelckmans; Johan A. K. Suykens; Hugo Van hamme (INTERSPEECH, 2007)

Comparison of variable selection methods and classifiers for native accent identification. - Tingyao Wu; Peter Karsmakers; Hugo Van hamme; Dirk Van Compernolle (INTERSPEECH, 2008)

Camera Based Fall Detection Using Multiple Features Validated with Real Life Video. - Glen Debard; Peter Karsmakers; Mieke Deschodt; Ellen Vlaeyen; Jonas Van Den Bergh; Eddy Dejaeger; Koen Milisen; Toon Goedemé; Tinne Tuytelaars; Bart Vanrumste (Intelligent Environments (Workshops), 2011)

Camera-Based Fall Detection on Real World Data. - Glen Debard; Peter Karsmakers; Mieke Deschodt; Ellen Vlaeyen; Eddy Dejaeger; Koen Milisen; Toon Goedemé; Bart Vanrumste; Tinne Tuytelaars (Theoretical Foundations of Computer Vision, 2011)

Sparse conjugate directions pursuit with application to fixed-size kernel models. - Peter Karsmakers; Kristiaan Pelckmans; Kris De Brabanter; Hugo Van hamme; Johan A. K. Suykens (Mach. Learn., 2011)

Confidence bands for least squares support vector machine classifiers: A regression approach. - Kris De Brabanter; Peter Karsmakers; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Pattern Recognit., 2012)

Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers. - Kris Cuppens; Peter Karsmakers; Anouk Van de Vel; Bert Bonroy; Milica Milosevic; Lieven Lagae; Berten Ceulemans; Sabine Van Huffel; Bart Vanrumste (ICPRAM, 2013)

Self-taught assistive vocal interfaces: an overview of the ALADIN project. - 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; et al. (INTERSPEECH, 2013)

Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a preliminary study. - Lode Vuegen; Bert Van Den Broeck; Peter Karsmakers; Hugo Van hamme; Bart Vanrumste (SLPAT, 2013)

An exemplar-based NMF approach to audio event detection. - Jort F. Gemmeke; Lode Vuegen; Peter Karsmakers; Bart Vanrumste; Hugo Van hamme (WASPAA, 2013)

Healthcare System for Non-invasive Fall Detection in Indoor Environment. - Marco Mercuri; Carmine Garripoli; Peter Karsmakers; Ping Jack Soh; Guy A. E. Vandenbosch; Calogero Pace; Paul Leroux; Dominique Schreurs (ApplePies, 2014)

Anomaly Detection Using the Poisson Process Limit for Extremes. - Stijn Luca; Peter Karsmakers; Bart Vanrumste (ICDM, 2014)

Detecting rare events using extreme value statistics applied to epileptic convulsions in children. - Stijn Luca; Peter Karsmakers; Kris Cuppens; Tom Croonenborghs; Anouk Van de Vel; Berten Ceulemans; Lieven Lagae; Sabine Van Huffel; Bart Vanrumste (Artif. Intell. Medicine, 2014)

Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection. - 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 (IEEE J. Biomed. Health Informatics, 2014)

Monitoring activities of daily living using Wireless Acoustic Sensor Networks in clean and noisy conditions. - Lode Vuegen; Bert Van Den Broeck; Peter Karsmakers; Hugo Van hamme; Bart Vanrumste (EMBC, 2015)

Energy efficient monitoring of activities of daily living using wireless acoustic sensor networks in clean and noisy conditions. - Lode Vuegen; Bert Van Den Broeck; Peter Karsmakers; Hugo Van hamme; Bart Vanrumste (EUSIPCO, 2015)

A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users. - Gert Dekkers; Toon van Waterschoot; Bart Vanrumste; Bert Van Den Broeck; Jort F. Gemmeke; Hugo Van hamme; Peter Karsmakers (INTERSPEECH, 2015)

Embedded DSP-Based Telehealth Radar System for Remote In-Door Fall Detection. - Carmine Garripoli; Marco Mercuri; Peter Karsmakers; Ping Jack Soh; Giovanni Crupi; Guy A. E. Vandenbosch; Calogero Pace; Paul Leroux; Dominique M. M.-P. Schreurs (IEEE J. Biomed. Health Informatics, 2015)

Guitar note onset detection based on a spectral sparsity measure. - Mina Mounir; Peter Karsmakers; Toon van Waterschoot (EUSIPCO, 2016)

Noise robust footstep location estimation using a wireless acoustic sensor network. - Bert Van Den Broeck; Peter Karsmakers; Hugo Van hamme; Bart Vanrumste (J. Ambient Intell. Smart Environ., 2016)

The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network. - Gert Dekkers; Steven Lauwereins; Bart Thoen; Mulu Weldegebreal Adhana; Henk Brouckxon; Bertold Van den Bergh; Toon van Waterschoot; Bart Vanrumste; Marian Verhelst; Peter Karsmakers (DCASE, 2017)

DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics. - Gert Dekkers; Lode Vuegen; Toon van Waterschoot; Bart Vanrumste; Peter Karsmakers (CoRR, 2018)

A multi-layered energy consumption model for smart wireless acoustic sensor networks. - Gert Dekkers; Fernando Rosas; Steven Lauwereins; Sreeraj Rajendran; Sofie Pollin; Bart Vanrumste; Toon van Waterschoot; Marian Verhelst; Peter Karsmakers (CoRR, 2018)

The Impact of Missing Labels and Overlapping Sound Events on Multi-label Multi-instance Learning for Sound Event Classification. - Maarten Meire; Peter Karsmakers; Lode Vuegen (DCASE, 2019)

Comparison of Deep Autoencoder Architectures for Real-time Acoustic Based Anomaly Detection in Assets. - Maarten Meire; Peter Karsmakers (IDAACS, 2019)

Annotations Time Shift: A Key Parameter in Evaluating Musical Note Onset Detection Algorithms. - Mina Mounir; Peter Karsmakers; Toon van Waterschoot (WASPAA, 2019)

On-edge adaptive acoustic models: an application to acoustic person presence detection. - Lode Vuegen; Peter Karsmakers (ESANN, 2020)

CNN-based Note Onset Detection using Synthetic Data Augmentation. - Mina Mounir; Peter Karsmakers; Toon van Waterschoot (EUSIPCO, 2020)

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. - Yonas Y. Tefera; Maarten Meire; Stijn Luca; Peter Karsmakers (IoT Streams/ITEM@PKDD/ECML, 2020)

Real-time On-edge Classification: an Application to Domestic Acoustic Event Recognition. - Lode Vuegen; Peter Karsmakers (ESANN, 2021)

Automatically Segmenting Physical Performance Test Items for Older Adults Using a Doppler Radar: A Proof of Concept Study. - Yiyuan Zhang; Oluwatosin J. Babarinde; Pengxuan Han; Xiangyu Wang; Peter Karsmakers; Dominique M. M.-P. Schreurs; Sabine M. P. Verschueren; Bart Vanrumste (IEEE Access, 2021)

Musical note onset detection based on a spectral sparsity measure. - Mina Mounir; Peter Karsmakers; Toon van Waterschoot (EURASIP J. Audio Speech Music. Process., 2021)

Remote Monitoring of COVID-19 Patients Following Discharge from a Tertiary Care Center. - Ganesh Raam Kumarasamy; Hélène De Cannière; Julie Vranken; David Ruttens; Peter Karsmakers; Pieter M. Vandervoort (CinC, 2022)

Constraint Guided Gradient Descent: Guided Training with Inequality Constraints. - Quinten Van Baelen; Peter Karsmakers (ESANN, 2022)

Dynamic sensor activation and decision-level fusion in wireless acoustic sensor networks for classification of domestic activities. - Gert Dekkers; Fernando Rosas; Toon van Waterschoot; Bart Vanrumste; Peter Karsmakers (Inf. Fusion, 2022)

Assessment of Data Augmentation and Transfer Learning for Making PIG Cough Classifier Robust to Changing Farm Conditions. - Sreenivasa Upadhyaya; Wim Buyens; Erik Vranken; Wim Desmet; Peter Karsmakers (ICMLA, 2023)

Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation. - Quinten Van Baelen; Peter Karsmakers (Neurocomputing, 2023)

Constraints as Alternative Learning Objective in Deep Learning. - Quinten Van Baelen; Peter Karsmakers (ESANN, 2024)

Single-Event Upset Analysis of a Systolic Array based Deep Neural Network Accelerator. - Naïn Jonckers; Toon Vinck; Gert Dekkers; Peter Karsmakers; Jeffrey Prinzie (CoRR, 2024)

Constraint Guided Model Quantization of Neural Networks. - Quinten Van Baelen; Peter Karsmakers (CoRR, 2024)

Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar. - Pouya Mehrjouseresht; Reda El Hail; Peter Karsmakers; Dominique M. M.-P. Schreurs (Sensors, 2024)

Estimating Remaining Usable Time of Batteries With Uncertainty Quantification: A Case Study on Base Transceiver Station Application Using Real-Life Data. - Yonas Y. Tefera; Stijn Luca; Dereje Hailemariam Woldegebreal; Peter Karsmakers (IEEE Access, 2025)

Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes. - Ming Wu 008; Zequan Yao; Mathias Verbeke; Peter Karsmakers; Benjamin Gorissen; Dominiek Reynaerts (Eng. Appl. Artif. Intell., 2025)

Mitigating multiple single-event upsets during deep neural network inference using fault-aware training. - Toon Vinck; Naïn Jonckers; Gert Dekkers; Jeffrey Prinzie; Peter Karsmakers (CoRR, 2025)

Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset. - Yonas Y. Tefera; Quinten Van Baelen; Maarten Meire; Stijn Luca; Peter Karsmakers (CoRR, 2025)

Constraint guided autoencoders for joint optimization of condition indicator estimation and anomaly detection in machine condition monitoring. - Maarten Meire; Quinten Van Baelen; Ted Ooijevaar; Peter Karsmakers (Mach. Learn., 2025)