Seif Eldawlatly
Orcid: 0000-0003-2873-0569
According to our database1,
Seif Eldawlatly
authored at least 37 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Computer Science Education Facing Unconventional Odds: Case Studies from the Arab World.
Inroads, March, 2024
CoRR, 2024
2023
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Enhancing Facial Recognition in Visual Prostheses using Region of Interest Magnification and Caricaturing.
Proceedings of the International Conference on Computer and Applications, 2023
Motor Imagery Classification Enhancement using Generative Adversarial Networks for EEG Spectrum Image Generation.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Social and Non-social Reward Learning Contexts for Detection of Major Depressive Disorder Using EEG: A Machine Learning Approach.
Proceedings of the Brain Informatics - 16th International Conference, 2023
2022
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
Generative Adversarial Networks for Augmenting EEG Data in P300-based Applications: A Comparative Study.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
In-silico development and assessment of a Kalman filter motor decoder for prosthetic hand control.
Comput. Biol. Medicine, 2021
Biomedical computing in the Arab world: unlocking the potential of a growing research community.
Commun. ACM, 2021
Brain Informatics, 2021
Electrode Dropout Compensation in Visual Prostheses: An Optimal Object Placement Approach.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
On the Extraction of High-Level Visual Features from Lateral Geniculate Nucleus Activity: A Rat Study.
Proceedings of the Brain Informatics - 14th International Conference, 2021
Majority-Vote Over Multiple ECG Segments for Risk Assessment (MOMESRA): A Machine Learning Approach for Predicting Cardiovascular Events.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
The Importance of Discretization Methods in Machine Learning Applications: A Case Study of Predicting ICU Mortality.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2021
2020
A Classification Approach to Recognize the Firing of Spinal Motoneurons in Amyotrophic Lateral Sclerosis.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Brain-in-Car: A Brain Activity-based Emotion Recognition Embedded System for Automotive.
Proceedings of the IEEE International Conference of Vehicular Electronics and Safety, 2019
2018
Proceedings of the 2018 8th International Conference on Biomedical Engineering and Technology, 2018
2017
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
An Intermixed Color Paradigm for P300 Spellers: A Comparison with Gray-Scale Spellers.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
2016
Tuning electrical stimulation for thalamic visual prosthesis: An autoencoder-based approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Epileptic seizure prediction using zero-crossings analysis of EEG wavelet detail coefficients.
Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016
2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 2015 IEEE International Conference on Electronics, 2015
A Kalman-based encoder for electrical stimulation modulation in a thalamic network model.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015
2014
Temporal precision in population - but not individual neuron - dynamics reveals rapid experience-dependent plasticity in the rat barrel cortex.
Frontiers Comput. Neurosci., 2014
Performance analysis of a Principal Component Analysis ensemble classifier for Emotiv headset P300 spellers.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013
2010
On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles.
Neural Comput., 2010
2009
Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach.
Neural Comput., 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
Inferring functional cortical networks from spike train ensembles using Dynamic Bayesian Networks.
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Revamping signal processing for adaptive, real time, bi-directional Brain Machine Interface systems.
Proceedings of the IEEE International Conference on Acoustics, 2008