Towards Novel Neuroscience-Inspired Computing. - Stefan Wermter; Jim Austin; David J. Willshaw; Mark Elshaw (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Self-organisation of language instruction for robot action control. - Mark Elshaw; Stefan Wermter; Peter Watt (IJCNN, 2003)

Incorporating Reactive Learning Behaviour into a Mini-robot Platform. - Mark Elshaw; Debra Lewis; Stefan Wermter (SGAI Conf., 2003)

A modular approach to self-organization of robot control based on language instruction. - Stefan Wermter; Mark Elshaw; Simon Farrand (Connect. Sci., 2003)

Learning robot actions based on self-organising language memory. - Stefan Wermter; Mark Elshaw (Neural Networks, 2003)

An associator network approach to robot learning by imitation through vision, motor control and language. - Mark Elshaw; Cornelius Weber; Alexandros Zochios; Stefan Wermter (IJCNN, 2004)

Towards multimodal neural robot learning. - Stefan Wermter; Cornelius Weber; Mark Elshaw; Christo Panchev; Harry R. Erwin; Friedemann Pulvermüller (Robotics Auton. Syst., 2004)

Reinforcement Learning in MirrorBot. - Cornelius Weber; David Muse; Mark Elshaw; Stefan Wermter (ICANN (1), 2005)

Spatio-temporal neural data mining architecture in learning robots. - James Malone; Mark Elshaw; Ken McGarry; Chris Bowerman; Stefan Wermter (IJCNN, 2005)

Towards Biomimetic Neural Learning for Intelligent Robots. - Stefan Wermter; Günther Palm; Cornelius Weber; Mark Elshaw (Biomimetic Neural Learning for Intelligent Robots, 2005)

Grounding Neural Robot Language in Action. - Stefan Wermter; Cornelius Weber; Mark Elshaw; Vittorio Gallese; Friedemann Pulvermüller (Biomimetic Neural Learning for Intelligent Robots, 2005)

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)

A hybrid generative and predictive model of the motor cortex. - Cornelius Weber; Stefan Wermter; Mark Elshaw (Neural Networks, 2006)

An attention-gating recurrent working memory architecture for emergent speech representation. - Mark Elshaw; Roger K. Moore; Michael Klein (Connect. Sci., 2010)

A Hybrid Neural Emotion Recogniser for Human-Robotic Agent Interaction. - Alexandru Traista; Mark Elshaw (EANN, 2012)

Emotion Recognition Using Facial Expression Images for a Robotic Companion. - Ariel Ruiz-Garcia; Mark Elshaw; Abdulrahman Altahhan; Vasile Palade (EANN, 2016)

Deep Learning for Emotion Recognition in Faces. - Ariel Ruiz-Garcia; Mark Elshaw; Abdulrahman Altahhan; Vasile Palade (ICANN (2), 2016)

Stacked deep convolutional auto-encoders for emotion recognition from facial expressions. - Ariel Ruiz-Garcia; Mark Elshaw; Abdulrahman Altahhan; Vasile Palade (IJCNN, 2017)

Deep Learning for Real Time Facial Expression Recognition in Social Robots. - Ariel Ruiz-Garcia; Nicola Webb; Vasile Palade; Mark Eastwood; Mark Elshaw (ICONIP (5), 2018)

Deep Learning for Illumination Invariant Facial Expression Recognition. - Ariel Ruiz-Garcia; Vasile Palade; Mark Elshaw; Ibrahim Almakky (IJCNN, 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 Q-Learning for Illumination and Rotation Invariant Face Detection. - Ariel Ruiz-Garcia; Vasile Palade; Ibrahim Almakky; Mark Elshaw (IJCNN, 2019)

Visual and Thermal Data for Pedestrian and Cyclist Detection. - Sarfraz Ahmed; Md. Nazmul Huda; Sujan Rajbhandari; Chitta Saha; Mark Elshaw; Stratis Kanarachos (TAROS (2), 2019)

Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition. - Ariel Ruiz-Garcia; Vasile Palade; Mark Elshaw; Mariette Awad (IJCNN, 2020)

Emotion Recognition from Face Images in an Unconstrained Environment for usage on Social Robots. - Nicola Webb; Ariel Ruiz-Garcia; Mark Elshaw; Vasile Palade (IJCNN, 2020)