Haytham M. Fayek

Orcid: 0000-0002-1840-7605

According to our database1, Haytham M. Fayek authored at least 18 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
PRE-NAS: Evolutionary Neural Architecture Search With Predictor.
IEEE Trans. Evol. Comput., February, 2023

The Structurally Complex with Additive Parent Causality (SCARY) Dataset.
CoRR, 2023

Replicability and Transparency for the Creation of Public Human User Video Game Datasets.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Evoking empathy with visually impaired people through an augmented reality embodiment experience.
Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2023

Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Knowledge Capture and Replay for Continual Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

PRE-NAS: predictor-assisted evolutionary neural architecture search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2020
Temporal Reasoning via Audio Question Answering.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Progressive learning: A deep learning framework for continual learning.
Neural Networks, 2020

Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Sound Event Classification and Detection with Weakly Labeled Data.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018
On the Transferability of Representations in Neural Networks Between Datasets and Tasks.
CoRR, 2018

2017
Evaluating deep learning architectures for Speech Emotion Recognition.
Neural Networks, 2017

MatDL: A Lightweight Deep Learning Library in MATLAB.
J. Open Source Softw., 2017

2016
On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition.
Proceedings of the Interspeech 2016, 2016

Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Towards real-time Speech Emotion Recognition using deep neural networks.
Proceedings of the 9th International Conference on Signal Processing and Communication Systems, 2015

2013
Real-time implementation of a Type-2 Fuzzy Logic Controller to control a DC servomotor with different defuzzification methods.
Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013


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