Haytham Fayek
Haytham Fayek
School of Computing Technologies, RMIT University
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Zitiert von
Zitiert von
Evaluating deep learning architectures for speech emotion recognition
HM Fayek, M Lech, L Cavedon
Neural Networks 92, 60-68, 2017
Towards real-time speech emotion recognition using deep neural networks
HM Fayek, M Lech, L Cavedon
2015 9th international conference on signal processing and communication …, 2015
Speech processing for machine learning: Filter banks, mel-frequency cepstral coefficients (mfccs) and what’s in-between
H Fayek
URL: https://haythamfayek. com/2016/04/21/speech-processingfor-machine …, 2016
Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels
HM Fayek, M Lech, L Cavedon
2016 international joint conference on neural networks (IJCNN), 566-570, 2016
Autonomous satellite wildfire detection using hyperspectral imagery and neural networks: A case study on australian wildfire
K Thangavel, D Spiller, R Sabatini, S Amici, ST Sasidharan, H Fayek, ...
Remote Sensing 15 (3), 720, 2023
A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation
HM Fayek, I Elamvazuthi, N Perumal, B Venkatesh
ISA transactions 53 (5), 1583-1591, 2014
Progressive learning: A deep learning framework for continual learning
HM Fayek, L Cavedon, HR Wu
Neural Networks 128, 345-357, 2020
Temporal reasoning via audio question answering
HM Fayek, J Johnson
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2283-2294, 2020
On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition.
HM Fayek, M Lech, L Cavedon
Interspeech, 3618-3622, 2016
Large scale audiovisual learning of sounds with weakly labeled data
HM Fayek, A Kumar
arXiv preprint arXiv:2006.01595, 2020
Advanced multi-input system identification for next generation aircraft loads monitoring using linear regression, neural networks and deep learning
M Candon, M Esposito, H Fayek, O Levinski, S Koschel, N Joseph, ...
Mechanical Systems and Signal Processing 171, 108809, 2022
Intelligent control of rehabilitation robot: Auto tuning PID controller with interval type 2 Fuzzy for DC servomotor
PNQ Nhon, I Elamvazuthi, HM Fayek, S Parasuraman, MKAA Khan
Procedia Computer Science 42, 183-190, 2014
Trusted autonomous operations of distributed satellite systems using optical sensors
K Thangavel, D Spiller, R Sabatini, S Amici, N Longepe, P Servidia, ...
Sensors 23 (6), 3344, 2023
Deep learning approaches for air-writing using single UWB radar
N Hendy, HM Fayek, A Al-Hourani
IEEE Sensors Journal 22 (12), 11989-12001, 2022
Sound event classification and detection with weakly labeled data
S Adavanne, H Fayek, V Tourbabin
Type-2 fuzzy logic PI (T2FLPI) based dc servomotor control
HM Fayek, I Elamvazuthi
Journal of Applied Sciences Research 8 (5), 2564-2574, 2012
Pre-nas: Evolutionary neural architecture search with predictor
Y Peng, A Song, V Ciesielski, HM Fayek, X Chang
IEEE Transactions on Evolutionary Computation 27 (1), 26-36, 2022
PRE-NAS: predictor-assisted evolutionary neural architecture search
Y Peng, A Song, V Ciesielski, HM Fayek, X Chang
Proceedings of the Genetic and Evolutionary Computation Conference, 1066-1074, 2022
Knowledge capture and replay for continual learning
S Gopalakrishnan, PR Singh, H Fayek, S Ramasamy, A Ambikapathi
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
A distributed satellite system for multibaseline AT-InSAR: constellation of formations for maritime domain awareness using autonomous orbit control
K Thangavel, P Servidia, R Sabatini, P Marzocca, H Fayek, SH Cerruti, ...
Aerospace 10 (2), 176, 2023
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