Alexander Bertrand

Orcid: 0000-0002-4827-8568

According to our database1, Alexander Bertrand authored at least 131 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Avoiding Post-Processing With Event-Based Detection in Biomedical Signals.
IEEE Trans. Biomed. Eng., August, 2024

Video-EEG Encoding-Decoding Dataset KU Leuven.
Dataset, January, 2024

A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems in Wireless Sensor Networks.
IEEE Trans. Signal Process., 2024

Correction: A semi‑supervised interactive algorithm for change point detection.
Data Min. Knowl. Discov., 2024

A semi-supervised interactive algorithm for change point detection.
Data Min. Knowl. Discov., 2024

Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks.
CoRR, 2024

Probabilistic Gain Control in a Multi-Speaker Setting Using EEG-Based Auditory Attention Decoding.
Proceedings of the 32nd European Signal Processing Conference, 2024

A Multi-View Extension for Change Point Detection via Time-Invariant Representations.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Bandwidth-Efficient Distributed Neural Network Architectures With Application to Neuro-Sensor Networks.
IEEE J. Biomed. Health Informatics, February, 2023

A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems - Part II: Convergence Properties.
IEEE Trans. Signal Process., 2023

A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems - Part I: Algorithm Derivation.
IEEE Trans. Signal Process., 2023

A Novel Loss for Change Point Detection Models With Time-Invariant Representations.
IEEE Signal Process. Lett., 2023

Minimally Informed Linear Discriminant Analysis: training an LDA model with unlabelled data.
CoRR, 2023

A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks.
CoRR, 2023

Neural Source Coding For Bandwidth-Efficient Brain-Computer Interfacing With Wireless Neuro-Sensor Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Computationally Efficient Algorithm for Distributed Adaptive Signal Fusion Based on Fractional Programs.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems.
Proceedings of the IEEE International Conference on Acoustics, 2023

Unbiased Unsupervised Stimulus Reconstruction for EEG-Based Auditory Attention Decoding.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Distributed Adaptive Algorithm for Node-Specific Signal Fusion Problems in Wireless Sensor Networks.
Proceedings of the 31st European Signal Processing Conference, 2023

Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
MAXVAR-Based Distributed Correlation Estimation in a Wireless Sensor Network.
IEEE Trans. Signal Process., 2022

Time-Adaptive Unsupervised Auditory Attention Decoding Using EEG-Based Stimulus Reconstruction.
IEEE J. Biomed. Health Informatics, 2022

Electrocardiogram Quality Assessment Using Unsupervised Deep Learning.
IEEE Trans. Biomed. Eng., 2022

Grouped variable selection for generalized eigenvalue problems.
Signal Process., 2022

Bandwidth-efficient distributed neural network architectures with application to body sensor networks.
CoRR, 2022

EventNet: Detecting Events in EEG.
CoRR, 2022

Improved Tracking for Distributed Signal Fusion Optimization in a Fully-Connected Wireless Sensor Network.
Proceedings of the 30th European Signal Processing Conference, 2022

A Neural Network Approach for Ultrasound Attenuation Coefficient Estimation.
Proceedings of the 30th European Signal Processing Conference, 2022

Windowed State Space Filters for Peak Interference Suppression in Neural Spike Sorting.
Proceedings of the 30th European Signal Processing Conference, 2022

Semi-supervised Change Point Detection Using Active Learning.
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation.
IEEE Trans. Signal Process., 2021

Distributed Adaptive Trace Ratio Optimization in Wireless Sensor Networks.
IEEE Trans. Signal Process., 2021

Unsupervised Self-Adaptive Auditory Attention Decoding.
IEEE J. Biomed. Health Informatics, 2021

Fast EEG-Based Decoding Of The Directional Focus Of Auditory Attention Using Common Spatial Patterns.
IEEE Trans. Biomed. Eng., 2021

Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices.
IEEE Signal Process. Mag., 2021

Utility metric for unsupervised feature selection.
PeerJ Comput. Sci., 2021

SHYBRID: A Graphical Tool for Generating Hybrid Ground-Truth Spiking Data for Evaluating Spike Sorting Performance.
Neuroinformatics, 2021

End-to-end learnable EEG channel selection with deep neural networks.
CoRR, 2021

Riemannian Geometry-Based Decoding of the Directional Focus of Auditory Attention Using EEG.
Proceedings of the IEEE International Conference on Acoustics, 2021

Distributed MAXVAR: Identifying Common Signal Components across the Nodes of a Sensor Network.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting.
IEEE Trans. Signal Process., 2020

Analysis of Miniaturization Effects and Channel Selection Strategies for EEG Sensor Networks With Application to Auditory Attention Detection.
IEEE Trans. Biomed. Eng., 2020

On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks.
IEEE Signal Process. Lett., 2020

Distributed adaptive node-specific signal estimation in a wireless sensor network with noisy links.
Signal Process., 2020

Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research.
NeuroImage, 2020

Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography.
Int. J. Neural Syst., 2020

A Neural Network-Based Spike Sorting Feature Map That Resolves Spike Overlap in the Feature Space.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Group-Utility Metric for Efficient Sensor Selection and Removal in LCMV Beamformers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Distributed Trace Ratio Optimization in Fully-Connected Sensor Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Signal-to-peak-interference ratio maximization with automatic interference weighting for threshold-based spike sorting of high-density neural probe data.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

A New Metric to Evaluate Auditory Attention Detection Performance Based on a Markov Chain.
Proceedings of the 27th European Signal Processing Conference, 2019

A data-driven regularization approach for template matching in spike sorting with high-density neural probes.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Utility Metrics for Assessment and Subset Selection of Input Variables for Linear Estimation [Tips & Tricks].
IEEE Signal Process. Mag., 2018

Data-Driven Multi-Channel Filter Design with Peak-Interference Suppression for Threshold-Based Spike Sorting in High-Density Neural Probes.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The effect of miniaturization and galvanic separation of EEG sensor devices in an auditory attention detection task.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Adaptive Quantization for Multichannel Wiener Filter-Based Speech Enhancement in Wireless Acoustic Sensor Networks.
Wirel. Commun. Mob. Comput., 2017

Comments on "Distributed Identification of the Most Critical Node for Average Consensus".
IEEE Trans. Signal Process., 2017

Topology-Independent Distributed Adaptive Node-Specific Signal Estimation in Wireless Sensor Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2017

EEG-Informed Attended Speaker Extraction From Recorded Speech Mixtures With Application in Neuro-Steered Hearing Prostheses.
IEEE Trans. Biomed. Eng., 2017

Blind Sampling Rate Offset Estimation for Wireless Acoustic Sensor Networks Through Weighted Least-Squares Coherence Drift Estimation.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Heterogeneous and Multitask Wireless Sensor Networks - Algorithms, Applications, and Challenges.
IEEE J. Sel. Top. Signal Process., 2017

Multi-Task Wireless Sensor Network for Joint Distributed Node-Specific Signal Enhancement, LCMV Beamforming and DOA Estimation.
IEEE J. Sel. Top. Signal Process., 2017

Multidisciplinary Learning through Implementation of the DVB-S2 Standard.
IEEE Commun. Mag., 2017

Real-time distributed speech enhancement with two collaborating microphone arrays.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

EEG-based attention-driven speech enhancement for noisy speech mixtures using N-fold multi-channel Wiener filters.
Proceedings of the 25th European Signal Processing Conference, 2017

Blind parallel interrogation of ultrasonic neural dust motes based on canonical polyadic decomposition: A simulation study.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
GEVD-Based Low-Rank Approximation for Distributed Adaptive Node-Specific Signal Estimation in Wireless Sensor Networks.
IEEE Trans. Signal Process., 2016

Binaural Noise Cue Preservation in a Binaural Noise Reduction System With a Remote Microphone Signal.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Generalized Signal Utility for LMMSE Signal Estimation With Application to Greedy Quantization in Wireless Sensor Networks.
IEEE Signal Process. Lett., 2016

Incremental multiple error filtered-X LMS for node-specific active noise control over wireless acoustic sensor networks.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Multi-task wireless acoustic sensor network for node-specific speech enhancement and DOA estimation.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Unsupervised diffusion-based LMS for node-specific parameter estimation over wireless sensor networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

LCMV beamforming with subspace projection for multi-speaker speech enhancement.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Distributed labelling of audio sources in wireless acoustic sensor networks using consensus and matching.
Proceedings of the 24th European Signal Processing Conference, 2016

Adaptive attention-driven speech enhancement for EEG-informed hearing prostheses.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Distributed Canonical Correlation Analysis in Wireless Sensor Networks With Application to Distributed Blind Source Separation.
IEEE Trans. Signal Process., 2015

Distributed adaptive node-specific signal estimation in heterogeneous and mixed-topology wireless sensor networks.
Signal Process., 2015

Cooperative integrated noise reduction and node-specific direction-of-arrival estimation in a fully connected wireless acoustic sensor network.
Signal Process., 2015

Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks.
Signal Process., 2015

Distributed adaptive generalized eigenvector estimation of a sensor signal covariance matrix pair in a fully connected sensor network.
Signal Process., 2015

Special issue on wireless acoustic sensor networks and ad hoc microphone arrays.
Signal Process., 2015

Distributed signal estimation in a wireless sensor network with partially-overlapping node-specific interests or source observability.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Low-rank approximation-based distributed node-specific signal estimation in a fully-connected wireless sensor network.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Optimal spatial filtering for auditory steady-state response detection using high-density EEG.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Distributed signal subspace estimation based on local generalized eigenvector matrix inversion.
Proceedings of the 23rd European Signal Processing Conference, 2015

Blind sampling rate offset estimation based on coherence DRD7T in wireless acoustic sensor networks.
Proceedings of the 23rd European Signal Processing Conference, 2015

Energy-vs-performance trade-offs in speech enhancement in wireless acoustic sensor networks.
Proceedings of the 23rd European Signal Processing Conference, 2015

Comparison of speech envelope extraction methods for EEG-based auditory attention detection in a cocktail party scenario.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Greedy distributed node selection for node-specific signal estimation in wireless sensor networks.
Signal Process., 2014

Distributed adaptive estimation of covariance matrix eigenvectors in wireless sensor networks with application to distributed PCA.
Signal Process., 2014

A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology.
Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed eye blink artifact removal in a wireless EEG sensor network.
Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed GEVD-based signal subspace estimation in a fully-connected wireless sensor network.
Proceedings of the 22nd European Signal Processing Conference, 2014

Beamforming approaches for untethered, ultrasonic neural dust motes for cortical recording: A simulation study.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Distributed LCMV Beamforming in a Wireless Sensor Network With Single-Channel Per-Node Signal Transmission.
IEEE Trans. Signal Process., 2013

Seeing the Bigger Picture: How Nodes Can Learn Their Place Within a Complex Ad Hoc Network Topology.
IEEE Signal Process. Mag., 2013

On the Use of Time-Domain Widely Linear Filtering for Binaural Speech Enhancement.
IEEE Signal Process. Lett., 2013

Distributed computation of the Fiedler vector with application to topology inference in ad hoc networks.
Signal Process., 2013

Improved tracking performance for distributed node-specific signal enhancement inwireless acoustic sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Distributed adaptive eigenvector estimation of the sensor signal covariance matrix in a fully connected sensor network.
Proceedings of the IEEE International Conference on Acoustics, 2013

Network topology selection for distributed speech enhancement in wireless acoustic sensor networks.
Proceedings of the 21st European Signal Processing Conference, 2013

Distributed node-specific direction-of-arrival estimation in wireless acoustic sensor networks.
Proceedings of the 21st European Signal Processing Conference, 2013

Topology-aware distributed adaptation of Laplacian weights for in-network averaging.
Proceedings of the 21st European Signal Processing Conference, 2013

Motion artifact reduction in EEG recordings using multi-channel contact impedance measurements.
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012
Efficient Calculation of Sensor Utility and Sensor Removal in Wireless Sensor Networks for Adaptive Signal Estimation and Beamforming.
IEEE Trans. Signal Process., 2012

Low-Complexity Distributed Total Least Squares Estimation in Ad Hoc Sensor Networks.
IEEE Trans. Signal Process., 2012

Distributed Node-Specific LCMV Beamforming in Wireless Sensor Networks.
IEEE Trans. Signal Process., 2012

Distributed signal estimation in sensor networks where nodes have different interests.
Signal Process., 2012

Tracking of a rotating object in a Wireless Sensor Network using fuzzy based adaptive IMM filter.
Proceedings of the 19th IEEE Symposium on Communications and Vehicular Technology in the Benelux, 2012

Multi-Channel Noise Reduction in Hearing Aids with Wireless Access to an External Reference Signal.
Proceedings of the IWAENC 2012 - International Workshop on Acoustic Signal Enhancement, Proceedings, RWTH Aachen University, Germany, September 4th, 2012

Efficient computation of microphone utility in a wireless acoustic sensor network with multi-channel Wiener filter based noise reduction.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Power iteration-based distributed total least squares estimation in ad hoc sensor networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Energy aware greedy subset selection for speech enhancement in wireless acoustic sensor networks.
Proceedings of the 20th European Signal Processing Conference, 2012

Distributed distortionless signal estimation in wireless acoustic sensor networks.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Signal Processing Algorithms for Wireless Acoustic Sensor Networks (Signaalverwerkingsalgoritmes voor draadloze akoestische sensornetwerken).
PhD thesis, 2011

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks.
IEEE Trans. Signal Process., 2011

Consensus-Based Distributed Total Least Squares Estimation in Ad Hoc Wireless Sensor Networks.
IEEE Trans. Signal Process., 2011

Distributed Adaptive Estimation of Node-Specific Signals in Wireless Sensor Networks With a Tree Topology.
IEEE Trans. Signal Process., 2011

Applications and trends in wireless acoustic sensor networks: A signal processing perspective.
Proceedings of the 18th IEEE Symposium on Communications and Vehicular Technology in the Benelux, 2011

Distributed LCMV beamforming in wireless sensor networks with node-specific desired signals.
Proceedings of the IEEE International Conference on Acoustics, 2011

Utility based cross-layer collaboration for speech enhancement in wireless acoustic sensor networks.
Proceedings of the 19th European Signal Processing Conference, 2011

Diffusion-based bias-compensated RLS for distributed estimation over adaptive sensor networks.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Distributed adaptive node-specific signal estimation in fully connected sensor networks-part II: simultaneous and asynchronous node updating.
IEEE Trans. Signal Process., 2010

Distributed adaptive node-specific signal estimation in fully connected sensor networks-part I: sequential node updating.
IEEE Trans. Signal Process., 2010

Blind separation of non-negative source signals using multiplicative updates and subspace projection.
Signal Process., 2010

Energy-based multi-speaker voice activity detection with an ad hoc microphone array.
Proceedings of the IEEE International Conference on Acoustics, 2010

Efficient sensor subset selection and link failure response for linear MMSE signal estimation in wireless sensor networks.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Robust Distributed Noise Reduction in Hearing Aids with External Acoustic Sensor Nodes.
EURASIP J. Adv. Signal Process., 2009

Distributed adaptive estimation of correlated node-specific signals in a fully connected sensor network.
Proceedings of the IEEE International Conference on Acoustics, 2009

Distributed adaptive node-specific MMSE signal estimation in sensor networks with a tree topology.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Unsupervised learning of auditory filter banks using non-negative matrix factorisation.
Proceedings of the IEEE International Conference on Acoustics, 2008


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