Publications

• 2024

  JAWED, S.; FAYE, I.; MALIK, A. Deep learning-based assessment model for Real-time identification of visual learners using Raw EEG. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, vol. 32, no. 1, p. 378-390. ISSN: 1558-0210.
  Detail | WWW

• 2023

  SHAIKH, U.; SHAHZAIB, M.; SHAKIL, S.; BHATTI, F.; MALIK, A. Robust and Adaptive Terrain Classification and Gait Event Detection System. Heliyon, 2023, vol. 9, no. 11, p. 1-12. ISSN: 2405-8440.
  Detail | WWW

  MAHRUKH, R.; SHAKIL, S.; MALIK, A. Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm. Scientific Reports, 2023, vol. 13, no. 1, p. 1-15. ISSN: 2045-2322.
  Detail | WWW | Full text in the Digital Library

  AMIN, H.; ULLAH, R.; REZA, M.; MALIK, A. Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques. Journal of NeuroEngineering and Rehabilitation, 2023, vol. 20, no. 1, p. 1-17. ISSN: 1743-0003.
  Detail | WWW | Full text in the Digital Library

  MRÁZEK, V.; JAWED, S.; ARIF, M.; MALIK, A. Effective EEG Feature Selection for Interpretable MDD (Major Depressive Disorder) Classification. In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference. Lisbon: Association for Computing Machinery, 2023. p. 1427-1435. ISBN: 979-8-4007-0119-1.
  Detail | WWW | Full text in the Digital Library

• 2022

  JAWED, S.; MALIK, A. Deep learning based diagnosis of alcohol use disorder (AUD) using EEG. In {2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin). Berlin: Institute of Electrical and Electronics Engineers, 2022. p. 1-5. ISBN: 978-1-6654-5676-0.
  Detail | WWW

• 2021

  MALIK, A. Designing EEG Experiments for Studying the Brain; EEG-Based Experiment Design for Major Depressive Disorder. Brno: Faculty of Information Technology BUT, 2021. p. 0-0.
  Detail | WWW

*) Publications are generated once a 24 hours.