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ORCIDHaytham M. Fayek
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2020 – today
- 2024
[j6]Emma J. Pretty
, Haytham M. Fayek, Fabio Zambetta:
A Case for Personalized Non-Player Character Companion Design. Int. J. Hum. Comput. Interact. 40(12): 3051-3070 (2024)- [c13]Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang:
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. ICLR 2024 - [c12]Emma Jane Pretty, Renan Luigi Martins Guarese, Haytham M. Fayek, Fabio Zambetta:
Comparing Subjective Measures of Workload in Video Game Play: Evaluating the Test-Retest Reliability of the VGDS and NASA-TLX. ICMI Companion 2024: 56-60 - [i9]Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang:
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. CoRR abs/2403.04161 (2024) - 2023
- [j5]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: Evolutionary Neural Architecture Search With Predictor. IEEE Trans. Evol. Comput. 27(1): 26-36 (2023) - [c11]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions. GECCO 2023: 1257-1266 - [c10]Emma J. Pretty, Renan Guarese, Haytham M. Fayek, Fabio Zambetta:
Replicability and Transparency for the Creation of Public Human User Video Game Datasets. VR Workshops 2023: 74-81 - [c9]Renan Guarese, Emma Pretty, Haytham M. Fayek, Fabio Zambetta, Ron G. van Schyndel:
Evoking empathy with visually impaired people through an augmented reality embodiment experience. VR 2023: 184-193 - [i8]Renan Guarese, Emma Pretty, Haytham M. Fayek, Fabio Zambetta, Ron G. van Schyndel:
Evoking empathy with visually impaired people through an augmented reality embodiment experience. CoRR abs/2302.00211 (2023) - [i7]Emma J. Pretty, Renan Guarese, Haytham M. Fayek, Fabio Zambetta:
Replicability and Transparency for the Creation of Public Human User Video Game Datasets. CoRR abs/2304.02861 (2023) - [i6]Jarry Chen, Haytham M. Fayek:
The Structurally Complex with Additive Parent Causality (SCARY) Dataset. CoRR abs/2304.14109 (2023) - 2022
- [c8]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: predictor-assisted evolutionary neural architecture search. GECCO 2022: 1066-1074 - [c7]Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi:
Knowledge Capture and Replay for Continual Learning. WACV 2022: 337-345 - [i5]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search. CoRR abs/2204.12726 (2022) - 2020
- [j4]Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu:
Progressive learning: A deep learning framework for continual learning. Neural Networks 128: 345-357 (2020) - [j3]Haytham M. Fayek, Justin Johnson:
Temporal Reasoning via Audio Question Answering. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2283-2294 (2020) - [c6]Haytham M. Fayek, Anurag Kumar:
Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data. IJCAI 2020: 558-565 - [i4]Haytham M. Fayek, Anurag Kumar:
Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data. CoRR abs/2006.01595 (2020) - [i3]Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi:
Knowledge Capture and Replay for Continual Learning. CoRR abs/2012.06789 (2020)
2010 – 2019
- 2019
- [c5]Sharath Adavanne, Haytham M. Fayek, Vladimir Tourbabin:
Sound Event Classification and Detection with Weakly Labeled Data. DCASE 2019: 15-19 - [i2]Haytham M. Fayek, Justin Johnson:
Temporal Reasoning via Audio Question Answering. CoRR abs/1911.09655 (2019) - 2018
- [i1]Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu:
On the Transferability of Representations in Neural Networks Between Datasets and Tasks. CoRR abs/1811.12273 (2018) - 2017
- [j2]Haytham M. Fayek:
MatDL: A Lightweight Deep Learning Library in MATLAB. J. Open Source Softw. 2(19): 413 (2017) - [j1]Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
Evaluating deep learning architectures for Speech Emotion Recognition. Neural Networks 92: 60-68 (2017) - 2016
- [c4]Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels. IJCNN 2016: 566-570 - [c3]Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition. INTERSPEECH 2016: 3618-3622 - 2015
- [c2]Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
Towards real-time Speech Emotion Recognition using deep neural networks. ICSPCS 2015: 1-5 - 2013
- [c1]Haytham M. Fayek, I. Elamvazuthi:
Real-time implementation of a Type-2 Fuzzy Logic Controller to control a DC servomotor with different defuzzification methods. MMAR 2013: 86-91
Coauthor Index
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