| Empowerment–an introduction C Salge, C Glackin, D Polani Guided Self-Organization: Inception, 67-114, 2014 | 237 | 2014 |
| Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process P Humphreys, A McCloskey, R McIvor, L Maguire, C Glackin International Journal of Production Research 44 (12), 2379-2419, 2006 | 173 | 2006 |
| Changing the environment based on empowerment as intrinsic motivation C Salge, C Glackin, D Polani Entropy 16 (5), 2789-2819, 2014 | 91 | 2014 |
| A new secure and lightweight searchable encryption scheme over encrypted cloud data S Tahir, S Ruj, Y Rahulamathavan, M Rajarajan, C Glackin IEEE Transactions on Emerging Topics in Computing 7 (4), 530-544, 2017 | 55 | 2017 |
| An experimental analysis of deep learning architectures for supervised speech enhancement SA Nossier, J Wall, M Moniri, C Glackin, N Cannings Electronics 10 (1), 17, 2020 | 50 | 2020 |
| Approximation of empowerment in the continuous domain C Salge, C Glackin, D Polani Advances in Complex Systems 16 (02n03), 1250079, 2013 | 38 | 2013 |
| A comparative study of time and frequency domain approaches to deep learning based speech enhancement SA Nossier, J Wall, M Moniri, C Glackin, N Cannings 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 37 | 2020 |
| Privacy preserving encrypted phonetic search of speech data C Glackin, G Chollet, N Dugan, N Cannings, J Wall, S Tahir, IG Ray, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 37 | 2017 |
| Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition C Glackin, L Maguire, L McDaid The 2010 International Joint Conference on Neural Networks (IJCNN), 1-6, 2010 | 30 | 2010 |
| Receptive field optimisation and supervision of a fuzzy spiking neural network C Glackin, L Maguire, L McDaid, H Sayers Neural Networks 24 (3), 247-256, 2011 | 27 | 2011 |
| Guided self-organization: Inception C Salge, C Glackin, D Polani Springer, 2014 | 23 | 2014 |
| Mapping and masking targets comparison using different deep learning based speech enhancement architectures SA Nossier, J Wall, M Moniri, C Glackin, N Cannings 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 22 | 2020 |
| Gait Trajectory Prediction using Gaussian Process Ensembles C Glackin, C Salge, M Greaves, D Polani, S Slavnic, D Ristic-Durrant, ... Humanoid Robots (Humanoids), 2014 14th IEEE-RAS International Conference on …, 2014 | 22 | 2014 |
| A comparison of fuzzy strategies for corporate acquisition analysis C Glackin, L Maguire, R McIvor, P Humphreys, P Herman Fuzzy Sets and Systems 158 (18), 2039-2056, 2007 | 21 | 2007 |
| CORBYS cognitive control architecture for robotic follower A Leu, D Ristić-Durrant, S Slavnić, C Glackin, C Salge, D Polani, A Badii, ... Proceedings of the 2013 IEEE/SICE International Symposium on System …, 2013 | 17 | 2013 |
| Convolutional Neural Networks for Phoneme Recognition. C Glackin, JA Wall, G Chollet, N Dugan, N Cannings ICPRAM, 190-195, 2018 | 16 | 2018 |
| The empathic project: building an expressive, advanced virtual coach to improve independent healthy-life-years of the elderly L Brinkschulte, N Mariacher, S Schlögl, MI Torres, R Justo, JM Olaso, ... arXiv preprint arXiv:2104.13836, 2021 | 15 | 2021 |
| Implementing fuzzy reasoning on a spiking neural network C Glackin, L McDaid, L Maguire, H Sayers International Conference on Artificial Neural Networks, 258-267, 2008 | 14 | 2008 |
| Bird audio diarization with faster R-CNN R Shrestha, C Glackin, J Wall, N Cannings International Conference on Artificial Neural Networks, 415-426, 2021 | 13 | 2021 |
| A Spoken Dialog System for an EMPATHIC Virtual Coach MI Torres, C Glackin, R Justo, G Chollet International Workshop on Spoken Dialog Systems, 2018 | 13 | 2018 |
Nigel CanningsCTO, Intelligent Voice / RDSBL Industrial Fellow, University of East LondonBestätigte E-Mail-Adresse bei intelligentvoice.com
