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ORCIDAbdulrahman Altahhan
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2020 – today
- 2023
[c17]Maan Alhazmi, Abdulrahman Altahhan:
Best Fit Activation Functions for Attention Mechanism: Comparison and Enhancement. IJCNN 2023: 1-8- [c16]Sarah Alnefaie, Abdullah Alsaleh, Eric Atwell
, Mohammad Ammar Alsalka, Abdulrahman Altahhan:
LKAU23 at Qur'an QA 2023: Using Transformer Models for Retrieving Passages and Finding Answers to Questions from the Qur'an. ArabicNLP 2023: 720-727 - 2022
- [c15]Andrzej Miskow, Abdulrahman Altahhan:
Emotion Recognition with Facial Attention and Objective Activation Functions. ICONIP (5) 2022: 504-515 - 2021
- [c14]Abdullah Alsaleh, Eric Atwell, Abdulrahman Altahhan:
Quranic Verses Semantic Relatedness Using AraBERT. WANLP 2021: 185-190 - 2020
- [c13]Abdulrahman Altahhan:
True Online TD(λ)-Replay An Efficient Model-free Planning with Full Replay. IJCNN 2020: 1-7
2010 – 2019
- 2018
- [j1]Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade:
A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots. Neural Comput. Appl. 29(7): 359-373 (2018) - [c12]Abdulrahman Altahhan:
TD(0)-Replay: An Efficient Model-Free Planning with full Replay. IJCNN 2018: 1-7 - 2017
- [c11]Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade:
Stacked deep convolutional auto-encoders for emotion recognition from facial expressions. IJCNN 2017: 1586-1593 - 2016
- [c10]Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade:
Emotion Recognition Using Facial Expression Images for a Robotic Companion. EANN 2016: 79-93 - [c9]Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade:
Deep Learning for Emotion Recognition in Faces. ICANN (2) 2016: 38-46 - [c8]Cong-Zhe You, Xiaojun Wu, Vasile Palade, Abdulrahman Altahhan:
Manifold locality constrained low-rank representation and its applications. IJCNN 2016: 3264-3271 - [c7]Abdulrahman Altahhan:
Self-reflective deep reinforcement learning. IJCNN 2016: 4565-4570 - 2015
- [c6]Abdulrahman Altahhan:
Deep Feature-Action Processing with Mixture of Updates. ICONIP (4) 2015: 1-10 - [c5]Abdulrahman Altahhan:
Navigating a Robot through Big Visual Sensory Data. INNS Conference on Big Data 2015: 478-485 - [c4]Abdulrahman Altahhan:
Towards a deep feature-action architecture for robot homing. RAM/CIS 2015: RAM:205-209 - 2014
- [c3]Abdulrahman Altahhan:
A fast learning variable lambda TD model: Used to realize home aware robot navigation. IJCNN 2014: 1534-1541 - 2010
- [c2]Abdulrahman Altahhan:
Robot visual homing using conjugate gradient Temporal Difference learning, radial basis features and a whole image measure. IJCNN 2010: 1-10
2000 – 2009
- 2009
- [b1]Abdulrahman Altahhan:
Conjugate Gradient Temporal Difference Learning for Visual Robot Homing. University of Sunderland, Tyne and Wear, UK, 2009 - 2008
- [c1]Abdulrahman Altahhan, Kevin Burn, Stefan Wermter:
Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function. IJCNN 2008: 3861-3868
Coauthor Index
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