Haytham M. Fayek

35 papers A* 4A 4B 1Misc 1Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Successive Multi-RFI Suppression in Raw SAR Data via Space-Frequency Domain Processing.
IEEE Trans. Aerosp. Electron. Syst.
Nermine Hendy, Thomas Kraus, Haytham M. Fayek, Markus Bachmann, Maximilian Schandri, Akram Al-Hourani
2025 J jnl
Effects of task difficulty and music expertise in virtual reality: Observations of cognitive load and task accuracy in a rhythm exergame.
CoRR
Kyla Ellahiyoun, Emma Jane Pretty, Renan Guarese, Marcel Takac, Haytham M. Fayek, Fabio Zambetta
2025 A* conf
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions.
EMNLP
Nannan Huang, Haytham M. Fayek, Xiuzhen Zhang
2025 J jnl
Narrow-Band RFI Mitigation in Synthetic Aperture Radars Using Variable Space-Frequency Filter.
IEEE Geosci. Remote. Sens. Lett.
Nermine Hendy, Akram Al-Hourani, Thomas Kraus, Maximilian Schandri, Markus Bachmann, Haytham M. Fayek
2025 J jnl
REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting.
CoRR
Nannan Huang, Haytham M. Fayek, Xiuzhen Zhang
2025 J jnl
SEMUS - An Open-Source RF-Level SAR Emulator for Interference Modeling in Spaceborne Applications.
IEEE Trans. Aerosp. Electron. Syst.
Nermine Hendy, Ferdi Kurnia, Thomas Kraus, Markus Bachmann, Marco Martorella, Robin J. Evans, Manfred Zink, Haytham M. Fayek, Akram Al-Hourani
2024 J jnl
A Case for Personalized Non-Player Character Companion Design.
Int. J. Hum. Comput. Interact.
Emma J. Pretty, Haytham M. Fayek, Fabio Zambetta
2024 — conf
Comparing Subjective Measures of Workload in Video Game Play: Evaluating the Test-Retest Reliability of the VGDS and NASA-TLX.
ICMI Companion
Emma Jane Pretty, Renan Luigi Martins Guarese, Haytham M. Fayek, Fabio Zambetta
2024 J jnl
Multimodal Measurement of Cognitive Load in a Video Game Context: A Comparative Study Between Subjective and Objective Metrics.
IEEE Trans. Games
Emma J. Pretty, Renan Guarese, Chloe A. Dziego, Haytham M. Fayek, Fabio Zambetta
2024 A* conf
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS.
ICLR
Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang
2024 J jnl
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS.
CoRR
Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang
2023 A* conf
Evoking empathy with visually impaired people through an augmented reality embodiment experience.
VR
Renan Guarese, Emma Pretty, Haytham M. Fayek, Fabio Zambetta, Ron G. van Schyndel
2023 J jnl
Evoking empathy with visually impaired people through an augmented reality embodiment experience.
CoRR
Renan Guarese, Emma Pretty, Haytham M. Fayek, Fabio Zambetta, Ron G. van Schyndel
2023 A conf
Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions.
GECCO
Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang
2023 J jnl
PRE-NAS: Evolutionary Neural Architecture Search With Predictor.
IEEE Trans. Evol. Comput.
Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang
2023 — conf
Replicability and Transparency for the Creation of Public Human User Video Game Datasets.
VR Workshops
Emma J. Pretty, Renan Guarese, Haytham M. Fayek, Fabio Zambetta
2023 J jnl
Replicability and Transparency for the Creation of Public Human User Video Game Datasets.
CoRR
Emma J. Pretty, Renan Guarese, Haytham M. Fayek, Fabio Zambetta
2023 J jnl
The Structurally Complex with Additive Parent Causality (SCARY) Dataset.
CoRR
Jarry Chen, Haytham M. Fayek
2022 A conf
Knowledge Capture and Replay for Continual Learning.
WACV
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
2022 J jnl
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search.
CoRR
Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang
2022 A conf
PRE-NAS: predictor-assisted evolutionary neural architecture search.
GECCO
Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang
2020 J jnl
Knowledge Capture and Replay for Continual Learning.
CoRR
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
2020 A* conf
Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data.
IJCAI
Haytham M. Fayek, Anurag Kumar
2020 J jnl
Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data.
CoRR
Haytham M. Fayek, Anurag Kumar
2020 J jnl
Progressive learning: A deep learning framework for continual learning.
Neural Networks
Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu
2020 J jnl
Temporal Reasoning via Audio Question Answering.
IEEE ACM Trans. Audio Speech Lang. Process.
Haytham M. Fayek, Justin Johnson
2019 — conf
Sound Event Classification and Detection with Weakly Labeled Data.
DCASE
Sharath Adavanne, Haytham M. Fayek, Vladimir Tourbabin
2019 J jnl
Temporal Reasoning via Audio Question Answering.
CoRR
Haytham M. Fayek, Justin Johnson
2018 J jnl
On the Transferability of Representations in Neural Networks Between Datasets and Tasks.
CoRR
Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu
2017 J jnl
Evaluating deep learning architectures for Speech Emotion Recognition.
Neural Networks
Haytham M. Fayek, Margaret Lech, Lawrence Cavedon
2017 J jnl
MatDL: A Lightweight Deep Learning Library in MATLAB.
J. Open Source Softw.
Haytham M. Fayek
2016 B conf
Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels.
IJCNN
Haytham M. Fayek, Margaret Lech, Lawrence Cavedon
2016 A conf
On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition.
INTERSPEECH
Haytham M. Fayek, Margaret Lech, Lawrence Cavedon
2015 — conf
Towards real-time Speech Emotion Recognition using deep neural networks.
ICSPCS
Haytham M. Fayek, Margaret Lech, Lawrence Cavedon
2013 Misc conf
Real-time implementation of a Type-2 Fuzzy Logic Controller to control a DC servomotor with different defuzzification methods.
MMAR
Haytham M. Fayek, I. Elamvazuthi