Mark Elshaw

According to our database, Mark Elshaw authored at least 22 papers between 2001 and 2020.

Collaborative distances:

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

2020

Emotion Recognition from Face Images in an Unconstrained Environment for usage on Social Robots.

Nicola Webb, Ariel Ruiz-Garcia, Mark Elshaw, Vasile Palade

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

Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition.

Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Mariette Awad

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

2019

Visual and Thermal Data for Pedestrian and Cyclist Detection.

Sarfraz Ahmed, Md. Nazmul Huda, Sujan Rajbhandari, Chitta Saha, Mark Elshaw, Stratis Kanarachos

Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019

Deep Q-Learning for Illumination and Rotation Invariant Face Detection.

Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky, Mark Elshaw

Proceedings of the International Joint Conference on Neural Networks, 2019

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

Deep Learning for Illumination Invariant Facial Expression Recognition.

Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Ibrahim Almakky

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

Deep Learning for Real Time Facial Expression Recognition in Social Robots.

Ariel Ruiz-Garcia, Nicola Webb, Vasile Palade, Mark Eastwood, Mark Elshaw

Proceedings of the Neural Information Processing - 25th International Conference, 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

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

2012

A Hybrid Neural Emotion Recogniser for Human-Robotic Agent Interaction.

Alexandru Traista, Mark Elshaw

Proceedings of the Engineering Applications of Neural Networks, 2012

2010

An attention-gating recurrent working memory architecture for emergent speech representation.

Mark Elshaw, Roger K. Moore, Michael Klein

Connect. Sci., 2010

2006

A hybrid generative and predictive model of the motor cortex.

Cornelius Weber, Stefan Wermter, Mark Elshaw

Neural Networks, 2006

A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot.

Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter

Knowl. Based Syst., 2006

2005

Grounding Neural Robot Language in Action.

Stefan Wermter, Cornelius Weber, Mark Elshaw, Vittorio Gallese, Friedemann Pulvermüller

Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Towards Biomimetic Neural Learning for Intelligent Robots.

Stefan Wermter, Günther Palm, Cornelius Weber, Mark Elshaw

Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Reinforcement Learning in MirrorBot.

Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004

Towards multimodal neural robot learning.

Stefan Wermter, Cornelius Weber, Mark Elshaw, Christo Panchev, Harry R. Erwin, Friedemann Pulvermüller

Robotics Auton. Syst., 2004

2003

Learning robot actions based on self-organising language memory.

Stefan Wermter, Mark Elshaw

Neural Networks, 2003

A modular approach to self-organization of robot control based on language instruction.

Stefan Wermter, Mark Elshaw, Simon Farrand

Connect. Sci., 2003

Incorporating Reactive Learning Behaviour into a Mini-robot Platform.

Mark Elshaw, Debra Lewis, Stefan Wermter

Proceedings of the Research and Development in Intelligent Systems XX, 2003

2001

Towards Novel Neuroscience-Inspired Computing.

Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw

Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001