Peter Karsmakers

Orcid: 0000-0001-8119-6823

Affiliations:
  • KU Leuven, Department of Computer Science, Belgium


According to our database1, Peter Karsmakers authored at least 39 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar.
Sensors, April, 2024

2023
Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation.
Neurocomputing, November, 2023

Assessment of Data Augmentation and Transfer Learning for Making PIG Cough Classifier Robust to Changing Farm Conditions.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Dynamic sensor activation and decision-level fusion in wireless acoustic sensor networks for classification of domestic activities.
Inf. Fusion, 2022

Constraint Guided Gradient Descent: Guided Training with Inequality Constraints.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Remote Monitoring of COVID-19 Patients Following Discharge from a Tertiary Care Center.
Proceedings of the Computing in Cardiology, 2022

2021
Musical note onset detection based on a spectral sparsity measure.
EURASIP J. Audio Speech Music. Process., 2021

Automatically Segmenting Physical Performance Test Items for Older Adults Using a Doppler Radar: A Proof of Concept Study.
IEEE Access, 2021

Real-time On-edge Classification: an Application to Domestic Acoustic Event Recognition.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

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.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

CNN-based Note Onset Detection using Synthetic Data Augmentation.
Proceedings of the 28th European Signal Processing Conference, 2020

On-edge adaptive acoustic models: an application to acoustic person presence detection.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Annotations Time Shift: A Key Parameter in Evaluating Musical Note Onset Detection Algorithms.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Comparison of Deep Autoencoder Architectures for Real-time Acoustic Based Anomaly Detection in Assets.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

The Impact of Missing Labels and Overlapping Sound Events on Multi-label Multi-instance Learning for Sound Event Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018
A multi-layered energy consumption model for smart wireless acoustic sensor networks.
CoRR, 2018

DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics.
CoRR, 2018

2017
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016
Noise robust footstep location estimation using a wireless acoustic sensor network.
J. Ambient Intell. Smart Environ., 2016

Guitar note onset detection based on a spectral sparsity measure.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Embedded DSP-Based Telehealth Radar System for Remote In-Door Fall Detection.
IEEE J. Biomed. Health Informatics, 2015

A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users.
Proceedings of the INTERSPEECH 2015, 2015

Energy efficient monitoring of activities of daily living using wireless acoustic sensor networks in clean and noisy conditions.
Proceedings of the 23rd European Signal Processing Conference, 2015

Monitoring activities of daily living using Wireless Acoustic Sensor Networks in clean and noisy conditions.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

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

Detecting rare events using extreme value statistics applied to epileptic convulsions in children.
Artif. Intell. Medicine, 2014

Anomaly Detection Using the Poisson Process Limit for Extremes.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Healthcare System for Non-invasive Fall Detection in Indoor Environment.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2014

2013
An exemplar-based NMF approach to audio event detection.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a~preliminary study.
Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies, 2013

Self-taught assistive vocal interfaces: an overview of the ALADIN project.
Proceedings of the INTERSPEECH 2013, 2013

Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers.
Proceedings of the ICPRAM 2013, 2013

2012
Confidence bands for least squares support vector machine classifiers: A regression approach.
Pattern Recognit., 2012

2011
Sparse conjugate directions pursuit with application to fixed-size kernel models.
Mach. Learn., 2011

Camera-Based Fall Detection on Real World Data.
Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011

Camera Based Fall Detection Using Multiple Features Validated with Real Life Video.
Proceedings of the Workshop Proceedings of the 7th International Conference on Intelligent Environments, 2011

2008
Comparison of variable selection methods and classifiers for native accent identification.
Proceedings of the INTERSPEECH 2008, 2008

2007
Fixed-size kernel logistic regression for phoneme classification.
Proceedings of the INTERSPEECH 2007, 2007

Multi-class kernel logistic regression: a fixed-size implementation.
Proceedings of the International Joint Conference on Neural Networks, 2007


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