Abdulrahman Altahhan

According to our database, Abdulrahman Altahhan authored at least 22 papers between 2008 and 2024.

Collaborative distances:

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

2024

Escaping the Forest: Sparse Interpretable Neural Networks for Tabular Data.

Salvatore Raieli, Abdulrahman Altahhan, Nathalie Jeanray, Stéphane Gerart, Sébastien Vachenc

CoRR, 2024

A Comparison of Baseline Models and a Transformer Network for SOC Prediction in Lithium-Ion Batteries.

Hadeel Aboueidah, Abdulrahman Altahhan

CoRR, 2024

Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning.

Siddharth Sahu, Abdulrahman Altahhan

CoRR, 2024

2023

LKAU23 at Qur'an QA 2023: Using Transformer Models for Retrieving Passages and Finding Answers to Questions from the Qur'an.

Sarah Alnefaie, Abdullah Alsaleh, Eric Atwell, Mohammad Ammar Alsalka, Abdulrahman Altahhan

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

Best Fit Activation Functions for Attention Mechanism: Comparison and Enhancement.

Maan Alhazmi, Abdulrahman Altahhan

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Emotion Recognition with Facial Attention and Objective Activation Functions.

Andrzej Miskow, Abdulrahman Altahhan

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Quranic Verses Semantic Relatedness Using AraBERT.

Abdullah Alsaleh, Eric Atwell, Abdulrahman Altahhan

Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

2020

True Online TD(λ)-Replay An Efficient Model-free Planning with Full Replay.

Abdulrahman Altahhan

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots.

Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade

Neural Comput. Appl., 2018

TD(0)-Replay: An Efficient Model-Free Planning with full Replay.

Abdulrahman Altahhan

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Stacked deep convolutional auto-encoders for emotion recognition from facial expressions.

Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Manifold locality constrained low-rank representation and its applications.

Cong-Zhe You, Xiaojun Wu, Vasile Palade, Abdulrahman Altahhan

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

Self-reflective deep reinforcement learning.

Abdulrahman Altahhan

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

Deep Learning for Emotion Recognition in Faces.

Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Emotion Recognition Using Facial Expression Images for a Robotic Companion.

Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade

Proceedings of the Engineering Applications of Neural Networks, 2016

2015

Towards a deep feature-action architecture for robot homing.

Abdulrahman Altahhan

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Navigating a Robot through Big Visual Sensory Data.

Abdulrahman Altahhan

Proceedings of the INNS Conference on Big Data 2015, 2015

Deep Feature-Action Processing with Mixture of Updates.

Abdulrahman Altahhan

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

A fast learning variable lambda TD model: Used to realize home aware robot navigation.

Abdulrahman Altahhan

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2010

Robot visual homing using conjugate gradient Temporal Difference learning, radial basis features and a whole image measure.

Abdulrahman Altahhan

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Conjugate Gradient Temporal Difference Learning for Visual Robot Homing.

Abdulrahman Altahhan

PhD thesis, 2009

2008

Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function.

Abdulrahman Altahhan, Kevin Burn, Stefan Wermter

Proceedings of the International Joint Conference on Neural Networks, 2008