C. Panchev

发表

Language disorders in the brain: Distinguishing aphasia forms with recurrent networks

S. Wermter, C. Panchev, Jason Houlsby, 1999 .

Recurrent neural network learning for text routing

S. Wermter, C. Panchev, G. Arevian, 1999 .

Temporal sequence detection with spiking neurons: towards recognizing robot language instructions

Stefan Wermter, Christo Panchev, S. Wermter, 2006, Connect. Sci..

ybrid preference machines based on inspiration from neuroscience Action

S. Wermter, C. Panchev, F. Kurfess, 2002 .

Developing Concepts from Robot Behaviour

S. Wermter, C. Panchev, Christopher Willmot, 2007 .

Knowing what and where: a computational model for visual attention

S. Wermter, C. Panchev, J.G. Taylor, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Remaining useful life prediction for proton exchange membrane fuel cells using combined convolutional neural network and recurrent neural network

C. Panchev, T. Wilberforce, A. Alaswad, 2022, International Journal of Hydrogen Energy.

A Spiking Neural Network Model of Multi-modal Language Processing of Robot Instructions

Christo Panchev, C. Panchev, 2005, Biomimetic Neural Learning for Intelligent Robots.

Hybrid preference machines based on inspiration from neuroscience

Stefan Wermter, Christo Panchev, S. Wermter, 2002, Cognitive Systems Research.

Spike-timing-dependent synaptic plasticity: from single spikes to spike trains

Stefan Wermter, Christo Panchev, S. Wermter, 2004, Neurocomputing.

Computing with active dendrites

Christo Panchev, C. Panchev, 2007, Neurocomputing.

Image Invariant Robot Navigation Based on Self Organising Neural Place Codes

Stefan Wermter, Christo Panchev, Kevin Burn, 2005, Biomimetic Neural Learning for Intelligent Robots.

Self organising neural place codes for vision based robot navigation

S. Wermter, K. Burn, K. Chokshi, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Performance evaluation of similarity measures on similar and dissimilar text retrieval

Christo Panchev, Victor U. Thompson, Michael Oakes, 2015, 2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K).

A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning

Christo Panchev, John G. Taylor, Neill R. Taylor, 2009, Image Vis. Comput..

An Oscillatory Model for Multimodal Processing of Short Language Instructions

Christo Panchev, C. Panchev, 2007, ICANN.

Complex preferences for the integration of neural codes

Stefan Wermter, Christo Panchev, S. Wermter, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

HEBBIAN SPIKE-TIMING DEPENDENT SELF-ORGANIZATION IN PULSED NEURAL NETWORKS

Stefan Wermter, Christo Panchev, S. Wermter, 2001 .

Robust Text Classification Using a Hysteresis-Driven Extended SRN

Christo Panchev, Garen Arevian, C. Panchev, 2007, ICANN.

Temporal Processing in a Spiking Model of the Visual System

Christo Panchev, C. Panchev, 2006, ICANN.

Towards multimodal neural robot learning

Stefan Wermter, Cornelius Weber, Mark Elshaw, 2004, Robotics Auton. Syst..

Hybrid Neural Plausibility Networks for News Agents

Stefan Wermter, Christo Panchev, Garen Arevian, 1999, AAAI/IAAI.

Symbolic state transducers and recurrent neural preference machines for text mining

Stefan Wermter, Christo Panchev, Garen Arevian, 2003, Int. J. Approx. Reason..