Unsupervised learning of auditory filter banks using non-negative matrix factorisation. - Alexander Bertrand; Kris Demuynck; Veronique Stouten; Hugo Van hamme (ICASSP, 2008)

Distributed adaptive node-specific MMSE signal estimation in sensor networks with a tree topology. - Alexander Bertrand; Marc Moonen (EUSIPCO, 2009)

Distributed adaptive estimation of correlated node-specific signals in a fully connected sensor network. - Alexander Bertrand; Marc Moonen (ICASSP, 2009)

Robust Distributed Noise Reduction in Hearing Aids with External Acoustic Sensor Nodes. - Alexander Bertrand; Marc Moonen (EURASIP J. Adv. Signal Process., 2009)

Efficient sensor subset selection and link failure response for linear MMSE signal estimation in wireless sensor networks. - Alexander Bertrand; Marc Moonen (EUSIPCO, 2010)

Energy-based multi-speaker voice activity detection with an ad hoc microphone array. - Alexander Bertrand; Marc Moonen (ICASSP, 2010)

Blind separation of non-negative source signals using multiplicative updates and subspace projection. - Alexander Bertrand; Marc Moonen (Signal Process., 2010)

Distributed adaptive node-specific signal estimation in fully connected sensor networks-part I: sequential node updating. - Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Process., 2010)

Distributed adaptive node-specific signal estimation in fully connected sensor networks-part II: simultaneous and asynchronous node updating. - Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Process., 2010)

Diffusion-based bias-compensated RLS for distributed estimation over adaptive sensor networks. - Alexander Bertrand; Marc Moonen; Ali H. Sayed (EUSIPCO, 2011)

Utility based cross-layer collaboration for speech enhancement in wireless acoustic sensor networks. - Joseph Szurley; Alexander Bertrand; Marc Moonen; Peter Ruckebusch; Ingrid Moerman (EUSIPCO, 2011)

Distributed LCMV beamforming in wireless sensor networks with node-specific desired signals. - Alexander Bertrand; Marc Moonen (ICASSP, 2011)

Applications and trends in wireless acoustic sensor networks: A signal processing perspective. - Alexander Bertrand (SCVT, 2011)

Distributed Adaptive Estimation of Node-Specific Signals in Wireless Sensor Networks With a Tree Topology. - Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Process., 2011)

Consensus-Based Distributed Total Least Squares Estimation in Ad Hoc Wireless Sensor Networks. - Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Process., 2011)

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks. - Alexander Bertrand; Marc Moonen; Ali H. Sayed (IEEE Trans. Signal Process., 2011)

Signal Processing Algorithms for Wireless Acoustic Sensor Networks (Signaalverwerkingsalgoritmes voor draadloze akoestische sensornetwerken). - Alexander Bertrand (2011)

Distributed distortionless signal estimation in wireless acoustic sensor networks. - Alexander Bertrand; Joseph Szurley; Marc Moonen (EUSIPCO, 2012)

Energy aware greedy subset selection for speech enhancement in wireless acoustic sensor networks. - Joseph Szurley; Alexander Bertrand; Marc Moonen; Peter Ruckebusch; Ingrid Moerman (EUSIPCO, 2012)

Power iteration-based distributed total least squares estimation in ad hoc sensor networks. - Alexander Bertrand; Marc Moonen (ICASSP, 2012)

Efficient computation of microphone utility in a wireless acoustic sensor network with multi-channel Wiener filter based noise reduction. - Joseph Szurley; Alexander Bertrand; Marc Moonen (ICASSP, 2012)

Multi-Channel Noise Reduction in Hearing Aids with Wireless Access to an External Reference Signal. - Annelies Geusens; Alexander Bertrand; Bram Cornelis; Marc Moonen (IWAENC, 2012)

Tracking of a rotating object in a Wireless Sensor Network using fuzzy based adaptive IMM filter. - Amin Hassani; Alexander Bertrand; Marc Moonen (SCVT, 2012)

Distributed signal estimation in sensor networks where nodes have different interests. - Alexander Bertrand; Marc Moonen (Signal Process., 2012)

Distributed Node-Specific LCMV Beamforming in Wireless Sensor Networks. - Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Process., 2012)

Low-Complexity Distributed Total Least Squares Estimation in Ad Hoc Sensor Networks. - Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Process., 2012)

Efficient Calculation of Sensor Utility and Sensor Removal in Wireless Sensor Networks for Adaptive Signal Estimation and Beamforming. - Alexander Bertrand; Joseph Szurley; Peter Ruckebusch; Ingrid Moerman; Marc Moonen (IEEE Trans. Signal Process., 2012)

Motion artifact reduction in EEG recordings using multi-channel contact impedance measurements. - Alexander Bertrand; Vojkan Mihajlovic; Bernard Grundlehner; Chris Van Hoof; Marc Moonen (BioCAS, 2013)

Topology-aware distributed adaptation of Laplacian weights for in-network averaging. - Alexander Bertrand; Marc Moonen (EUSIPCO, 2013)

Distributed node-specific direction-of-arrival estimation in wireless acoustic sensor networks. - Amin Hassani; Alexander Bertrand; Marc Moonen (EUSIPCO, 2013)

Network topology selection for distributed speech enhancement in wireless acoustic sensor networks. - Joseph Szurley; Alexander Bertrand; Ingrid Moerman; Marc Moonen (EUSIPCO, 2013)

Distributed adaptive eigenvector estimation of the sensor signal covariance matrix in a fully connected sensor network. - Alexander Bertrand; Marc Moonen (ICASSP, 2013)

Improved tracking performance for distributed node-specific signal enhancement inwireless acoustic sensor networks. - Joseph Szurley; Alexander Bertrand; Marc Moonen (ICASSP, 2013)

Distributed computation of the Fiedler vector with application to topology inference in ad hoc networks. - Alexander Bertrand; Marc Moonen (Signal Process., 2013)

On the Use of Time-Domain Widely Linear Filtering for Binaural Speech Enhancement. - Joseph Szurley; Alexander Bertrand; Marc Moonen (IEEE Signal Process. Lett., 2013)

Seeing the Bigger Picture: How Nodes Can Learn Their Place Within a Complex Ad Hoc Network Topology. - Alexander Bertrand; Marc Moonen (IEEE Signal Process. Mag., 2013)

Distributed LCMV Beamforming in a Wireless Sensor Network With Single-Channel Per-Node Signal Transmission. - Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Process., 2013)

Beamforming approaches for untethered, ultrasonic neural dust motes for cortical recording: A simulation study. - Alexander Bertrand; Dongjin Seo; Filip Maksimovic; Jose M. Carmena; Michel M. Maharbiz; Elad Alon; Jan M. Rabaey (EMBC, 2014)

Distributed GEVD-based signal subspace estimation in a fully-connected wireless sensor network. - Amin Hassani; Alexander Bertrand; Marc Moonen (EUSIPCO, 2014)

Distributed eye blink artifact removal in a wireless EEG sensor network. - Alexander Bertrand; Marc Moonen (ICASSP, 2014)

A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology. - Joseph Szurley; Alexander Bertrand; Marc Moonen; Ingrid Moerman (ICASSP, 2014)

Distributed adaptive estimation of covariance matrix eigenvectors in wireless sensor networks with application to distributed PCA. - Alexander Bertrand; Marc Moonen (Signal Process., 2014)

Greedy distributed node selection for node-specific signal estimation in wireless sensor networks. - Joseph Szurley; Alexander Bertrand; Peter Ruckebusch; Ingrid Moerman; Marc Moonen (Signal Process., 2014)

Comparison of speech envelope extraction methods for EEG-based auditory attention detection in a cocktail party scenario. - Wouter Biesmans; Jonas Vanthornhout; Jan Wouters; Marc Moonen; Tom Francart; Alexander Bertrand (EMBC, 2015)

Energy-vs-performance trade-offs in speech enhancement in wireless acoustic sensor networks. - Fernando de la Hucha Arce; Fernando Rosas; Marc Moonen; Marian Verhelst; Alexander Bertrand (EUSIPCO, 2015)

Blind sampling rate offset estimation based on coherence DRD7T in wireless acoustic sensor networks. - Mohamad Hasan Bahari; Alexander Bertrand; Marc Moonen (EUSIPCO, 2015)

Distributed signal subspace estimation based on local generalized eigenvector matrix inversion. - Amin Hassani; Alexander Bertrand; Marc Moonen (EUSIPCO, 2015)

Optimal spatial filtering for auditory steady-state response detection using high-density EEG. - Wouter Biesmans; Alexander Bertrand; Jan Wouters; Marc Moonen (ICASSP, 2015)

Low-rank approximation-based distributed node-specific signal estimation in a fully-connected wireless sensor network. - Amin Hassani; Alexander Bertrand; Marc Moonen (ICASSP, 2015)

Distributed signal estimation in a wireless sensor network with partially-overlapping node-specific interests or source observability. - Jorge Plata-Chaves; Alexander Bertrand; Marc Moonen (ICASSP, 2015)

Special issue on wireless acoustic sensor networks and ad hoc microphone arrays. - Alexander Bertrand; Simon Doclo; Sharon Gannot; Nobutaka Ono; Toon van Waterschoot (Signal Process., 2015)

Distributed adaptive generalized eigenvector estimation of a sensor signal covariance matrix pair in a fully connected sensor network. - Alexander Bertrand; Marc Moonen (Signal Process., 2015)

Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks. - Shmulik Markovich Golan; Alexander Bertrand; Marc Moonen; Sharon Gannot (Signal Process., 2015)

Cooperative integrated noise reduction and node-specific direction-of-arrival estimation in a fully connected wireless acoustic sensor network. - Amin Hassani; Alexander Bertrand; Marc Moonen (Signal Process., 2015)

Distributed adaptive node-specific signal estimation in heterogeneous and mixed-topology wireless sensor networks. - Joseph Szurley; Alexander Bertrand; Marc Moonen (Signal Process., 2015)

Distributed Canonical Correlation Analysis in Wireless Sensor Networks With Application to Distributed Blind Source Separation. - Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Process., 2015)

Adaptive attention-driven speech enhancement for EEG-informed hearing prostheses. - Neetha Das; Simon Van Eyndhoven; Tom Francart; Alexander Bertrand (EMBC, 2016)

Distributed labelling of audio sources in wireless acoustic sensor networks using consensus and matching. - Mohamad Hasan Bahari; Jorge Plata-Chaves; Alexander Bertrand; Marc Moonen (EUSIPCO, 2016)

LCMV beamforming with subspace projection for multi-speaker speech enhancement. - Amin Hassani; Alexander Bertrand; Marc Moonen (ICASSP, 2016)

Unsupervised diffusion-based LMS for node-specific parameter estimation over wireless sensor networks. - Jorge Plata-Chaves; Mohamad Hasan Bahari; Marc Moonen; Alexander Bertrand (ICASSP, 2016)

Multi-task wireless acoustic sensor network for node-specific speech enhancement and DOA estimation. - Amin Hassani; Jorge Plata-Chaves; Alexander Bertrand; Marc Moonen (SAM, 2016)

Incremental multiple error filtered-X LMS for node-specific active noise control over wireless acoustic sensor networks. - Jorge Plata-Chaves; Alexander Bertrand; Marc Moonen (SAM, 2016)

Generalized Signal Utility for LMMSE Signal Estimation With Application to Greedy Quantization in Wireless Sensor Networks. - Fernando de la Hucha Arce; Fernando Rosas; Marc Moonen; Marian Verhelst; Alexander Bertrand (IEEE Signal Process. Lett., 2016)

Binaural Noise Cue Preservation in a Binaural Noise Reduction System With a Remote Microphone Signal. - Joseph Szurley; Alexander Bertrand; Bas van Dijk; Marc Moonen (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

GEVD-Based Low-Rank Approximation for Distributed Adaptive Node-Specific Signal Estimation in Wireless Sensor Networks. - Amin Hassani; Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Process., 2016)

Blind parallel interrogation of ultrasonic neural dust motes based on canonical polyadic decomposition: A simulation study. - Alexander Bertrand; Dongjin Seo; Jose M. Carmena; Michel M. Maharbiz; Elad Alon; Jan M. Rabaey (EUSIPCO, 2017)

EEG-based attention-driven speech enhancement for noisy speech mixtures using N-fold multi-channel Wiener filters. - Neetha Das; Simon Van Eyndhoven; Tom Francart; Alexander Bertrand (EUSIPCO, 2017)

Real-time distributed speech enhancement with two collaborating microphone arrays. - Amin Hassani; Alexander Bertrand; Marc Moonen (ICASSP, 2017)

Multidisciplinary Learning through Implementation of the DVB-S2 Standard. - Yuri Murillo; Bertold Van den Bergh; Jona Beysens; Alexander Bertrand; Wim Dehaene; Panagiotis Patrinos; Tinne Tuytelaars; Ruth Vazquez Sabariego; Marian Verhelst; Patrick Wambacq; Sofie Pollin (IEEE Commun. Mag., 2017)

Multi-Task Wireless Sensor Network for Joint Distributed Node-Specific Signal Enhancement, LCMV Beamforming and DOA Estimation. - Amin Hassani; Jorge Plata-Chaves; Mohamad Hasan Bahari; Marc Moonen; Alexander Bertrand (IEEE J. Sel. Top. Signal Process., 2017)

Heterogeneous and Multitask Wireless Sensor Networks - Algorithms, Applications, and Challenges. - Jorge Plata-Chaves; Alexander Bertrand; Marc Moonen; Sergios Theodoridis; Abdelhak M. Zoubir (IEEE J. Sel. Top. Signal Process., 2017)

Blind Sampling Rate Offset Estimation for Wireless Acoustic Sensor Networks Through Weighted Least-Squares Coherence Drift Estimation. - Mohamad Hasan Bahari; Alexander Bertrand; Marc Moonen (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

EEG-Informed Attended Speaker Extraction From Recorded Speech Mixtures With Application in Neuro-Steered Hearing Prostheses. - Simon Van Eyndhoven; Tom Francart; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2017)

Topology-Independent Distributed Adaptive Node-Specific Signal Estimation in Wireless Sensor Networks. - Joseph Szurley; Alexander Bertrand; Marc Moonen (IEEE Trans. Signal Inf. Process. over Networks, 2017)

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

Adaptive Quantization for Multichannel Wiener Filter-Based Speech Enhancement in Wireless Acoustic Sensor Networks. - Fernando de la Hucha Arce; Marc Moonen; Marian Verhelst; Alexander Bertrand (Wirel. Commun. Mob. Comput., 2017)

The effect of miniaturization and galvanic separation of EEG sensor devices in an auditory attention detection task. - Abhijith Mundanad Narayanan; Alexander Bertrand (EMBC, 2018)

Data-Driven Multi-Channel Filter Design with Peak-Interference Suppression for Threshold-Based Spike Sorting in High-Density Neural Probes. - Jasper Wouters; Fabian Kloosterman; Alexander Bertrand (ICASSP, 2018)

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

A data-driven regularization approach for template matching in spike sorting with high-density neural probes. - Jasper Wouters; Fabian Kloosterman; Alexander Bertrand (EMBC, 2019)

A New Metric to Evaluate Auditory Attention Detection Performance Based on a Markov Chain. - Simon Geirnaert; Tom Francart; Alexander Bertrand (EUSIPCO, 2019)

Signal-to-peak-interference ratio maximization with automatic interference weighting for threshold-based spike sorting of high-density neural probe data. - Jasper Wouters; Fabian Kloosterman; Alexander Bertrand (NER, 2019)

Distributed Trace Ratio Optimization in Fully-Connected Sensor Networks. - Cem Ates Musluoglu; Alexander Bertrand (EUSIPCO, 2020)

Group-Utility Metric for Efficient Sensor Selection and Removal in LCMV Beamformers. - Abhijith Mundanad Narayanan; Alexander Bertrand (ICASSP, 2020)

A Neural Network-Based Spike Sorting Feature Map That Resolves Spike Overlap in the Feature Space. - Jasper Wouters; Fabian Kloosterman; Alexander Bertrand (ICASSP, 2020)

Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography. - Jonathan Dan; Benjamin Vandendriessche; Wim Van Paesschen; Dorien Weckhuysen; Alexander Bertrand (Int. J. Neural Syst., 2020)

Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research. - Neetha Das; Jonas Vanthornhout; Tom Francart; Alexander Bertrand (NeuroImage, 2020)

Distributed adaptive node-specific signal estimation in a wireless sensor network with noisy links. - Fernando de la Hucha Arce; Marc Moonen; Marian Verhelst; Alexander Bertrand (Signal Process., 2020)

On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks. - Fernando de la Hucha Arce; Panagiotis Patrinos; Marian Verhelst; Alexander Bertrand (IEEE Signal Process. Lett., 2020)

Analysis of Miniaturization Effects and Channel Selection Strategies for EEG Sensor Networks With Application to Auditory Attention Detection. - Abhijith Mundanad Narayanan; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2020)

Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting. - Jasper Wouters; Panagiotis Patrinos; Fabian Kloosterman; Alexander Bertrand (IEEE Trans. Signal Process., 2020)

Distributed MAXVAR: Identifying Common Signal Components across the Nodes of a Sensor Network. - Charles Hovine; Alexander Bertrand (EUSIPCO, 2021)

Riemannian Geometry-Based Decoding of the Directional Focus of Auditory Attention Using EEG. - Simon Geirnaert; Tom Francart; Alexander Bertrand (ICASSP, 2021)

End-to-end learnable EEG channel selection with deep neural networks. - Thomas Strypsteen; Alexander Bertrand (CoRR, 2021)

SHYBRID: A Graphical Tool for Generating Hybrid Ground-Truth Spiking Data for Evaluating Spike Sorting Performance. - Jasper Wouters; Fabian Kloosterman; Alexander Bertrand (Neuroinformatics, 2021)

Utility metric for unsupervised feature selection. - Amalia Villa; Abhijith Mundanad Narayanan; Sabine Van Huffel; Alexander Bertrand; Carolina Varon (PeerJ Comput. Sci., 2021)

Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices. - Simon Geirnaert; Servaas Vandecappelle; Emina Alickovic; Alain de Cheveigné; Edmund C. Lalor; Bernd T. Meyer; Sina Miran; Tom Francart; Alexander Bertrand (IEEE Signal Process. Mag., 2021)

Fast EEG-Based Decoding Of The Directional Focus Of Auditory Attention Using Common Spatial Patterns. - Simon Geirnaert; Tom Francart; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2021)

Unsupervised Self-Adaptive Auditory Attention Decoding. - Simon Geirnaert; Tom Francart; Alexander Bertrand (IEEE J. Biomed. Health Informatics, 2021)

Distributed Adaptive Trace Ratio Optimization in Wireless Sensor Networks. - Cem Ates Musluoglu; Alexander Bertrand (IEEE Trans. Signal Process., 2021)

Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation. - Tim De Ryck; Maarten De Vos; Alexander Bertrand (IEEE Trans. Signal Process., 2021)

Semi-supervised Change Point Detection Using Active Learning. - Arne De Brabandere; Zhenxiang Cao; Maarten De Vos; Alexander Bertrand; Jesse Davis (DS, 2022)

Windowed State Space Filters for Peak Interference Suppression in Neural Spike Sorting. - Christof Baeriswyl; Alexander Bertrand; Reto A. Wildhaber (EUSIPCO, 2022)

A Neural Network Approach for Ultrasound Attenuation Coefficient Estimation. - Jasleen Birdi; Jan D'hooge; Alexander Bertrand (EUSIPCO, 2022)

Improved Tracking for Distributed Signal Fusion Optimization in a Fully-Connected Wireless Sensor Network. - Cem Ates Musluoglu; Marc Moonen; Alexander Bertrand (EUSIPCO, 2022)

EventNet: Detecting Events in EEG. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (CoRR, 2022)

Bandwidth-efficient distributed neural network architectures with application to body sensor networks. - Thomas Strypsteen; Alexander Bertrand (CoRR, 2022)

Grouped variable selection for generalized eigenvalue problems. - Jonathan Dan; Simon Geirnaert; Alexander Bertrand (Signal Process., 2022)

Electrocardiogram Quality Assessment Using Unsupervised Deep Learning. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2022)

Time-Adaptive Unsupervised Auditory Attention Decoding Using EEG-Based Stimulus Reconstruction. - Simon Geirnaert; Tom Francart; Alexander Bertrand (IEEE J. Biomed. Health Informatics, 2022)

MAXVAR-Based Distributed Correlation Estimation in a Wireless Sensor Network. - Charles Hovine; Alexander Bertrand (IEEE Trans. Signal Process., 2022)

Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses. - Simon Geirnaert; Tom Francart; Alexander Bertrand (EUSIPCO, 2023)

A Distributed Adaptive Algorithm for Node-Specific Signal Fusion Problems in Wireless Sensor Networks. - Cem Ates Musluoglu; Alexander Bertrand (EUSIPCO, 2023)

Unbiased Unsupervised Stimulus Reconstruction for EEG-Based Auditory Attention Decoding. - Nicolas Heintz; Simon Geirnaert; Tom Francart; Alexander Bertrand (ICASSP, 2023)

A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems. - Charles Hovine; Alexander Bertrand (ICASSP, 2023)

A Computationally Efficient Algorithm for Distributed Adaptive Signal Fusion Based on Fractional Programs. - Cem Ates Musluoglu; Alexander Bertrand (ICASSP, 2023)

Neural Source Coding For Bandwidth-Efficient Brain-Computer Interfacing With Wireless Neuro-Sensor Networks. - Thomas Strypsteen; Alexander Bertrand (ICASSP, 2023)

Minimally Informed Linear Discriminant Analysis: training an LDA model with unlabelled data. - Nicolas Heintz; Tom Francart; Alexander Bertrand (CoRR, 2023)

A Novel Loss for Change Point Detection Models With Time-Invariant Representations. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Signal Process. Lett., 2023)

A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems - Part I: Algorithm Derivation. - Cem Ates Musluoglu; Alexander Bertrand (IEEE Trans. Signal Process., 2023)

A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems - Part II: Convergence Properties. - Cem Ates Musluoglu; Charles Hovine; Alexander Bertrand (IEEE Trans. Signal Process., 2023)

Bandwidth-Efficient Distributed Neural Network Architectures With Application to Neuro-Sensor Networks. - Thomas Strypsteen; Alexander Bertrand (IEEE J. Biomed. Health Informatics, 2023)

A Multi-View Extension for Change Point Detection via Time-Invariant Representations. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (EUSIPCO, 2024)

Probabilistic Gain Control in a Multi-Speaker Setting Using EEG-Based Auditory Attention Decoding. - Nicolas Heintz; Simon Geirnaert; Iris Van De Ryck; Tom Francart; Alexander Bertrand (EUSIPCO, 2024)

Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks. - Thomas Strypsteen; Alexander Bertrand (CoRR, 2024)

Linear stimulus reconstruction works on the KU Leuven audiovisual, gaze-controlled auditory attention decoding dataset. - Simon Geirnaert; Iustina Rotaru; Tom Francart; Alexander Bertrand (CoRR, 2024)

A semi-supervised interactive algorithm for change point detection. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (Data Min. Knowl. Discov., 2024)

Correction: A semi‑supervised interactive algorithm for change point detection. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (Data Min. Knowl. Discov., 2024)

A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems in Wireless Sensor Networks. - Charles Hovine; Alexander Bertrand (IEEE Trans. Signal Process., 2024)

Video-EEG Encoding-Decoding Dataset KU Leuven. - Yuanyuan Yao 007; Axel Stebner; Tinne Tuytelaars; Simon Geirnaert; Alexander Bertrand (Zenodo, 2024)

Avoiding Post-Processing With Event-Based Detection in Biomedical Signals. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2024)

Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Trans. Knowl. Data Eng., 2024)

Distributed Blind Source Separation Based on FastICA. - Cem Ates Musluoglu; Alexander Bertrand (IEEE Signal Process. Lett., 2025)

Distributed Adaptive Signal Fusion for Fractional Programs. - Cem Ates Musluoglu; Alexander Bertrand (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Distributed Adaptive Spatial Filtering With Inexact Local Solvers. - Charles Hovine; Alexander Bertrand (IEEE Trans. Signal Process., 2025)

A Human-in-the-Loop Method for Annotation of Events in Biomedical Signals. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE J. Biomed. Health Informatics, 2025)

Stimulus-Informed Generalized Canonical Correlation Analysis for Group Analysis of Neural Responses to Natural Stimuli. - Simon Geirnaert; Yuanyuan Yao 007; Tom Francart; Alexander Bertrand (IEEE J. Biomed. Health Informatics, 2025)

Performance Modeling for Correlation-based Neural Decoding of Auditory Attention to Speech. - Simon Geirnaert; Jonas Vanthornhout; Tom Francart; Alexander Bertrand (CoRR, 2025)

Unsupervised EEG-based decoding of absolute auditory attention with canonical correlation analysis. - Nicolas Heintz; Tom Francart; Alexander Bertrand (CoRR, 2025)

A Distributed Neural Network Architecture for Dynamic Sensor Selection With Application to Bandwidth-Constrained Body-Sensor Networks. - Thomas Strypsteen; Alexander Bertrand (IEEE J. Biomed. Health Informatics, 2025)

Post-processing of EEG-based Auditory Attention Decoding Decisions via Hidden Markov Models. - Nicolas Heintz; Tom Francart; Alexander Bertrand (CoRR, 2025)

Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding. - Miguel A. Lopez-Gordo; Simon Geirnaert; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2025)