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Computer Science

D-Index
37
Citations
6661
World Ranking
10648
National Ranking
423

Overview

Amar Mitiche is a researcher affiliated with the Institut National de la Recherche Scientifique in Canada. Their work spans multiple areas within computer science and neuroscience, with a focus on artificial intelligence applications, cognitive neuroscience, and signal processing.

Their research contributions include studies in various subfields such as:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Psychiatry and Mental Health

Mitiche's main thematic areas of research cover:

  • EEG and Brain-Computer Interfaces
  • Blind Source Separation Techniques
  • Epilepsy Research and Treatment
  • Explainable Artificial Intelligence (XAI)
  • Neural Networks and Applications
  • Context-Aware Activity Recognition Systems
  • Non-Invasive Vital Sign Monitoring

Recent scholarly publications by Mitiche include:

  • "Domain adaptation for EEG-based, cross-subject epileptic seizure prediction," 2024, Frontiers in Neuroinformatics
  • "Patient-independent epileptic seizure detection by stable feature selection," 2023, Expert Systems with Applications
  • "An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data," 2022, IEEE Access
  • "EEG Oscillatory Power and Complexity for Epileptic Seizure Detection," 2022, Applied Sciences
  • "A Study of EEG Feature Complexity in Epileptic Seizure Prediction," 2021, Applied Sciences

Frequent publication venues where Mitiche's work appears are:

  • IEEE Access
  • arXiv (Cornell University)
  • Applied Sciences
  • Expert Systems with Applications
  • Frontiers in Neuroinformatics

The scientist collaborates recurrently with several coauthors, indicating a network of research partnerships. The most frequent coauthors include:

  • Neila Mezghani
  • Imene Jemal
  • Lina Abou-Abbas
  • Khadidja Henni
  • Youssef Ouakrim

Mitiche's research integrates advanced computational methods like explainable AI models with neurophysiological data analysis techniques, particularly EEG, to explore and improve epileptic seizure prediction and detection. This multidisciplinary focus combines expertise in neural networks, signal processing, and brain-computer interface technologies.

Best Publications

  • Digital picture processing

    Unknown

  • Computation and analysis of image motion: a synopsis of current problems and methods

    Amar Mitiche;Patrick Bouthemy

  • Multiregion Image Segmentation by Parametric Kernel Graph Cuts

    M B Salah;A Mitiche;I B Ayed

  • Multiregion level-set partitioning of synthetic aperture radar images

    I.B. Ayed;A. Mitiche;Z. Belhadj

  • Curvature-based representation of objects from range data

    B C Vemuri;A Mitiche;J K Aggarwal

  • Variational and Level Set Methods in Image Segmentation

    Amar Mitiche;Ismail Ben Ayed

  • Tracking human motion in an indoor environment

    Q. Cai;A. Mitiche;J.K. Aggarwal

  • Multiregion competition: A level set extension of region competition to multiple region image partitioning

    Abdol-Reza Mansouri;Amar Mitiche;Carlos Vázquez

  • On-line handwritten digit recognition based on trajectory and velocity modeling

    Monji Kherallah;Lobna Haddad;Adel M. Alimi;Amar Mitiche

  • Computation of Surface Orientation and Structure of Objects Using Grid Coding

    Y. F. Wang;A. Mitiche;J. K. Aggarwal

  • Multiple Sensor Integration/Fusion Through Image Processing: A Review

    Amar Mitiche;J. K. Aggarwal

  • Experiments in combining intensity and range edge maps.

    Baldemar Gil;Amar Mitiche;J.K. Aggarwal

  • Deep Clustering: On the Link Between Discriminative Models and K-Means

    Mohammed Jabi;Marco Pedersoli;Amar Mitiche;Ismail Ben Ayed

  • Polarimetric image segmentation via maximum-likelihood approximation and efficient multiphase level-sets

    I. Ben Ayed;A. Mitiche;Z. Belhadj

  • Experiments in computing optical flow with the gradient-based, multiconstraint method

    A. Mitiche;Y. F. Wang;J. K. Aggarwal

  • Effective Level Set Image Segmentation With a Kernel Induced Data Term

    M. Ben Salah;A. Mitiche;I. Ben Ayed

  • Classifier combination for hand-printed digit recognition

    M. Sabourin;A. Mitiche;D. Thomas;G. Nagy

  • Computational Analysis of Visual Motion

    Amar Mitiche

  • Detection of Edges Using Range Information

    Amar Mitiche;J. K. Aggarwal

  • Contour registration by shape-specific points for shape matching

    Amar Mitiche;Jake K. Aggarwal

  • Reliable and fast structure-oriented video noise estimation

    A. Amer;A. Mitiche;E. Dubois

Frequent Co-Authors

Ismail Ben Ayed
Ismail Ben Ayed École de Technologie Supérieure
Jake K. Aggarwal
Jake K. Aggarwal The University of Texas at Austin
Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure
Larry S. Davis
Larry S. Davis University of Maryland, College Park
J. A. de Guise
J. A. de Guise École de Technologie Supérieure
Yuan-Fang Wang
Yuan-Fang Wang University of California, Santa Barbara
Baba C. Vemuri
Baba C. Vemuri University of Florida
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique
Patrick Bouthemy
Patrick Bouthemy French Institute for Research in Computer Science and Automation - INRIA
Janusz Konrad
Janusz Konrad Boston University

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