Haytham M. Fayek

According to our database, Haytham M. Fayek authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Case for Personalized Non-Player Character Companion Design.

Emma J. Pretty, Haytham M. Fayek, Fabio Zambetta

Int. J. Hum. Comput. Interact., June, 2024

Comparing Subjective Measures of Workload in Video Game Play: Evaluating the Test-Retest Reliability of the VGDS and NASA-TLX.

Emma Jane Pretty, Renan Luigi Martins Guarese, Haytham M. Fayek, Fabio Zambetta

Proceedings of the Companion Proceedings of the 26th International Conference on Multimodal Interaction, 2024

SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS.

Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

PRE-NAS: Evolutionary Neural Architecture Search With Predictor.

Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang

IEEE Trans. Evol. Comput., February, 2023

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

Jarry Chen, Haytham M. Fayek

CoRR, 2023

Replicability and Transparency for the Creation of Public Human User Video Game Datasets.

Emma J. Pretty, Renan Guarese, Haytham M. Fayek, Fabio Zambetta

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.

Renan Guarese, Emma Pretty, Haytham M. Fayek, Fabio Zambetta, Ron G. van Schyndel

Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2023

Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions.

Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Knowledge Capture and Replay for Continual Learning.

Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

PRE-NAS: predictor-assisted evolutionary neural architecture search.

Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2020

Temporal Reasoning via Audio Question Answering.

Haytham M. Fayek, Justin Johnson

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Progressive learning: A deep learning framework for continual learning.

Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu

Neural Networks, 2020

Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data.

Haytham M. Fayek, Anurag Kumar

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Sound Event Classification and Detection with Weakly Labeled Data.

Sharath Adavanne, Haytham M. Fayek, Vladimir Tourbabin

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.

Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu

CoRR, 2018

2017

Evaluating deep learning architectures for Speech Emotion Recognition.

Haytham M. Fayek, Margaret Lech, Lawrence Cavedon

Neural Networks, 2017

MatDL: A Lightweight Deep Learning Library in MATLAB.

Haytham M. Fayek

J. Open Source Softw., 2017

2016

On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition.

Haytham M. Fayek, Margaret Lech, Lawrence Cavedon

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels.

Haytham M. Fayek, Margaret Lech, Lawrence Cavedon

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Towards real-time Speech Emotion Recognition using deep neural networks.

Haytham M. Fayek, Margaret Lech, Lawrence Cavedon

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.

Haytham M. Fayek, I. Elamvazuthi

Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013