| Towards multimodal neural robot learning S Wermter, C Weber, M Elshaw, C Panchev, H Erwin, F Pulvermüller Robotics and Autonomous Systems 47 (2-3), 171-175, 2004 | 59 | 2004 |
| Recurrent neural network learning for text routing S Wermter, G Arevian, C Panchev IET Digital Library, 1999 | 49 | 1999 |
| Hybrid Neural Plausibility Networks for News Agents. S Wermter, C Panchev, G Arevian AAAI/IAAI, 93-98, 1999 | 47 | 1999 |
| Remaining useful life prediction for proton exchange membrane fuel cells using combined convolutional neural network and recurrent neural network T Wilberforce, A Alaswad, A Garcia–Perez, Y Xu, X Ma, C Panchev International Journal of Hydrogen Energy 48 (1), 291-303, 2023 | 43 | 2023 |
| Performance evaluation of similarity measures on similar and dissimilar text retrieval VU Thompson, C Panchev, M Oakes 2015 7th International Joint Conference on Knowledge Discovery, Knowledge …, 2015 | 41 | 2015 |
| Spike-timing-dependent synaptic plasticity: from single spikes to spike trains C Panchev, S Wermter Neurocomputing 58, 365-371, 2004 | 36 | 2004 |
| Temporal sequence detection with spiking neurons: towards recognizing robot language instructions C Panchev, S Wermter Connection Science 18 (1), 1-22, 2006 | 28 | 2006 |
| Spike-timing dependent competitive learning of integrate-and-fire neurons with active dendrites C Panchev, S Wermter, H Chen Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002 | 26 | 2002 |
| Hebbian spike-timing dependent self-organization in pulsed neural networks C Panchev, S Wermter Proceedings of World Congress on Neuroinformatics, 378-385, 2001 | 26 | 2001 |
| Vulnerability testing of wireless access points using unmanned aerial vehicles (uav) SG Vemi, C Panchev Proceedings of the European Conference on e-Learning 245, 2015 | 21 | 2015 |
| A neural network inversion approach to electromagnetic device design I Marinova, C Panchev, D Katsakos IEEE transactions on magnetics 36 (4), 1080-1084, 2000 | 21 | 2000 |
| Optimising the hystereses of a two context layer RNN for text classification G Arevian, C Panchev 2007 International Joint Conference on Neural Networks, 2936-2941, 2007 | 18 | 2007 |
| Towards integrating learning by demonstration and learning by instruction in a multimodal robot S Wermter, M Elshaw, C Weber, C Panchev, H Erwin Proceedings of the IROS-2003 Workshop on Robot Learning by Demonstration, 72-79, 2003 | 14 | 2003 |
| A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning JG Taylor, M Hartley, N Taylor, C Panchev, S Kasderidis Image and Vision Computing 27 (11), 1641-1657, 2009 | 13 | 2009 |
| Temporal processing in a spiking model of the visual system C Panchev International Conference on Artificial Neural Networks, 750-759, 2006 | 10 | 2006 |
| Towards hybrid neural learning internet agents S Wermter, G Arevian, C Panchev International Workshop on Hybrid Neural Systems, 158-174, 1998 | 10 | 1998 |
| Occlusion, attention and object representations NR Taylor, C Panchev, M Hartley, S Kasderidis, JG Taylor Artificial Neural Networks–ICANN 2006: 16th International Conference, Athens …, 2006 | 9 | 2006 |
| Symbolic state transducers and recurrent neural preference machines for text mining G Arevian, S Wermter, C Panchev International Journal of Approximate Reasoning 32 (2-3), 237-258, 2003 | 9 | 2003 |
| Hybrid preference machines based on inspiration from neuroscience S Wermter, C Panchev Cognitive Systems Research 3 (2), 255-270, 2002 | 9 | 2002 |
| Detecting port scans against mobile devices with neural networks and decision trees C Panchev, P Dobrev, J Nicholson Engineering Applications of Neural Networks: 15th International Conference …, 2014 | 8 | 2014 |
