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2020 – today
- 2020
[c17]Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Mariette Awad
:
Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition. IJCNN 2020: 1-8- [c16]Nicola Webb, Ariel Ruiz-Garcia, Mark Elshaw, Vasile Palade:
Emotion Recognition from Face Images in an Unconstrained Environment for usage on Social Robots. IJCNN 2020: 1-8 - [i1]Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Mariette Awad:
Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition. CoRR abs/2007.09790 (2020)
2010 – 2019
- 2019
- [c15]Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky, Mark Elshaw:
Deep Q-Learning for Illumination and Rotation Invariant Face Detection. IJCNN 2019: 1-8 - [c14]Sarfraz Ahmed, Md. Nazmul Huda, Sujan Rajbhandari, Chitta Saha, Mark Elshaw, Stratis Kanarachos:
Visual and Thermal Data for Pedestrian and Cyclist Detection. TAROS (2) 2019: 223-234 - 2018
- [j7]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) - [c13]Ariel Ruiz-Garcia, Nicola Webb, Vasile Palade, Mark Eastwood, Mark Elshaw:
Deep Learning for Real Time Facial Expression Recognition in Social Robots. ICONIP (5) 2018: 392-402 - [c12]Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Ibrahim Almakky:
Deep Learning for Illumination Invariant Facial Expression Recognition. IJCNN 2018: 1-6 - 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 - 2012
- [c8]Alexandru Traista, Mark Elshaw:
A Hybrid Neural Emotion Recogniser for Human-Robotic Agent Interaction. EANN 2012: 353-362 - 2010
- [j6]Mark Elshaw, Roger K. Moore, Michael Klein:
An attention-gating recurrent working memory architecture for emergent speech representation. Connect. Sci. 22(2): 157-175 (2010)
2000 – 2009
- 2006
- [j5]Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter:
A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot. Knowl. Based Syst. 19(5): 348-355 (2006) - [j4]Cornelius Weber, Stefan Wermter, Mark Elshaw:
A hybrid generative and predictive model of the motor cortex. Neural Networks 19(4): 339-353 (2006) - 2005
- [c7]Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter:
Reinforcement Learning in MirrorBot. ICANN (1) 2005: 305-310 - [c6]James Malone, Mark Elshaw, Ken McGarry, Chris Bowerman, Stefan Wermter:
Spatio-temporal neural data mining architecture in learning robots. IJCNN 2005: 2802-2807 - [c5]Stefan Wermter, Günther Palm, Cornelius Weber, Mark Elshaw:
Towards Biomimetic Neural Learning for Intelligent Robots. Biomimetic Neural Learning for Intelligent Robots 2005: 1-18 - [c4]Stefan Wermter, Cornelius Weber, Mark Elshaw, Vittorio Gallese, Friedemann Pulvermüller:
Grounding Neural Robot Language in Action. Biomimetic Neural Learning for Intelligent Robots 2005: 162-181 - [c3]Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter:
A Camera-Direction Dependent Visual-Motor Coordinate Transformation for a Visually Guided Neural Robot. SGAI Conf. (Applications) 2005: 151-164 - [e1]Stefan Wermter, Günther Palm, Mark Elshaw:
Biomimetic Neural Learning for Intelligent Robots - Intelligent Systems, Cognitive Robotics, and Neuroscience. Lecture Notes in Computer Science 3575, Springer 2005, ISBN 3-540-27440-5 [contents] - 2004
- [j3]Stefan Wermter, Cornelius Weber, Mark Elshaw, Christo Panchev, Harry R. Erwin, Friedemann Pulvermüller:
Towards multimodal neural robot learning. Robotics Auton. Syst. 47(2-3): 171-175 (2004) - 2003
- [j2]Stefan Wermter, Mark Elshaw, Simon Farrand:
A modular approach to self-organization of robot control based on language instruction. Connect. Sci. 15(2-3): 73-94 (2003) - [j1]Stefan Wermter, Mark Elshaw:
Learning robot actions based on self-organising language memory. Neural Networks 16(5-6): 691-699 (2003) - [c2]Mark Elshaw, Debra Lewis, Stefan Wermter:
Incorporating Reactive Learning Behaviour into a Mini-robot Platform. SGAI Conf. 2003: 255-266 - 2001
- [c1]Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw:
Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19
Coauthor Index
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