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Benjamin Schrauwen

Benjamin Schrauwen

D-Index & Metrics

Computer Science

D-Index
52
Citations
16845
World Ranking
4969
National Ranking
53

Overview

Benjamin Schrauwen is affiliated with Ghent University in Belgium. Their research spans multiple fields, primarily focusing on computer science and medicine. Schrauwen's work integrates domains such as artificial intelligence, cognitive neuroscience, cardiology and cardiovascular medicine, psychiatry and mental health, and information systems.

Their research topics cover a range of areas including EEG and brain-computer interfaces, ECG monitoring and analysis, epilepsy research and treatment, evolutionary algorithms and applications, advanced text analysis techniques, and software engineering research.

Schrauwen has contributed to several publications, mainly appearing in the Ghent University Academic Bibliography. Recent papers include:

  • Dynamic Stopping in a Calibration-less P300 Speller, 2020, Ghent University Academic Bibliography (Ghent University)
  • Transferring Unsupervised Adaptive Classifiers Between Users Of A Spatial Auditory Brain-Computer Interface, 2020, Ghent University Academic Bibliography (Ghent University)
  • Switching Characters Between Stimuli Improves P300 Speller Accuracy, 2020, Ghent University Academic Bibliography (Ghent University)

Their frequent collaborators comprise Pieter-Jan Kindermans, with whom Schrauwen has co-authored three papers. Other collaborators include Benjamin Blankertz, Klaus-Robert Müller, Michael Tangermann, and Thibault Verhoeven.

Overall, Schrauwen's body of research concentrates on the development and improvement of brain-computer interface technology, signal processing methods related to EEG and ECG data, as well as aspects of evolutionary algorithms and software engineering applied to biomedical contexts.

Best Publications

  • Information processing using a single dynamical node as complex system

    L Appeltant;M C Soriano;G Van der Sande;J Danckaert

  • 2007 Special Issue: An experimental unification of reservoir computing methods

    D. Verstraeten;B. Schrauwen;M. D'Haene;D. Stroobandt

  • Deep content-based music recommendation

    Aaron van den Oord;Sander Dieleman;Benjamin Schrauwen

  • Optoelectronic reservoir computing.

    Yvan Paquot;Francois Duport;Antoneo Smerieri;Joni Dambre

  • Experimental demonstration of reservoir computing on a silicon photonics chip

    Kristof Vandoorne;Pauline Mechet;Thomas Van Vaerenbergh;Martin Fiers

  • Training and Analysing Deep Recurrent Neural Networks

    Michiel Hermans;Benjamin Schrauwen

  • Sign Language Recognition Using Convolutional Neural Networks

    Lionel Pigou;Sander Dieleman;Pieter-Jan Kindermans;Benjamin Schrauwen

  • An overview of reservoir computing: theory, applications and implementations

    Benjamin Schrauwen;David Verstraeten;Jan M. Van Campenhout

  • End-to-end learning for music audio

    Sander Dieleman;Benjamin Schrauwen

  • Information Processing Capacity of Dynamical Systems

    Joni Dambre;David Verstraeten;Benjamin Schrauwen;Serge Massar

  • Reservoir Computing Trends

    Mantas Lukoševičius;Herbert Jaeger;Benjamin Schrauwen

  • Isolated word recognition with the liquid state machine : a case study

    D. Verstraeten;B. Schrauwen;D. Stroobandt;J. Van Campenhout

  • Design and control of compliant tensegrity robots through simulation and hardware validation.

    Ken Caluwaerts;Ken Caluwaerts;Jérémie Despraz;Atıl Işçen;Andrew P. Sabelhaus

  • Toward optical signal processing using photonic reservoir computing.

    Kristof Vandoorne;Wouter Dierckx;Benjamin Schrauwen;David Verstraeten

  • Improving reservoirs using intrinsic plasticity

    Benjamin Schrauwen;Marion Wardermann;David Verstraeten;Jochen J. Steil

  • Parallel Reservoir Computing Using Optical Amplifiers

    K. Vandoorne;J. Dambre;D. Verstraeten;B. Schrauwen

  • Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons

    Lars Büsing;Benjamin Schrauwen;Robert Legenstein

  • Using topic models for Twitter hashtag recommendation

    Fréderic Godin;Viktor Slavkovikj;Wesley De Neve;Benjamin Schrauwen

  • Phoneme Recognition with Large Hierarchical Reservoirs

    Fabian Triefenbach;Azarakhsh Jalalvand;Benjamin Schrauwen;Jean-pierre Martens

  • BSA, a fast and accurate spike train encoding scheme

    B. Schrauwen;J. Van Campenhout

Frequent Co-Authors

Joni Dambre
Joni Dambre Ghent University
Peter Bienstman
Peter Bienstman Ghent University
Serge Massar
Serge Massar Université Libre de Bruxelles
Marc Haelterman
Marc Haelterman Université Libre de Bruxelles
Aaron van den Oord
Aaron van den Oord Google (United States)
Geert Morthier
Geert Morthier Ghent University
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Jochen J. Steil
Jochen J. Steil Technische Universität Braunschweig
Claudio R. Mirasso
Claudio R. Mirasso University of the Balearic Islands
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne

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