Publikační výsledky

• 2025

  AMIN, H.; AHMED, A.; YUSOFF, M.; MOHAMAD SAAD, M.; MALIK, A. A neurophysiological model based on resting state EEG functional connectivity features for assessing semantic long-term memory performance. Biomedical Signal Processing and Control, 2025, vol. 99, no. 1, p. 1-11. ISSN: 1746-8108.
  Detail

  HUSSAIN, Y.; AMNA, R.; MALIK, A. ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes. 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Chemnitz: IEEE Computer Society, 2025. p. 1-6. ISBN: 979-8-3315-0500-4.
  Detail

• 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

  ARIF, M.; REHMAN, F.; SEKANINA, L.; MALIK, A. A comprehensive survey of evolutionary algorithms and metaheuristics in brain EEG-based applications. Journal of Neural Engineering, 2024, vol. 21, no. 5, p. 1-25. ISSN: 1741-2552.
  Detail

• 2023

  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

  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

  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

  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

• 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

• 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. 506 p.
  Detail

*) Citace se generují jednou za 24 hodin.