On emotion recognition of faces and of speech using neural networks, fuzzy logic and the ASSESS system WA Fellenz, JG Taylor, R Cowie, E Douglas-Cowie, F Piat, S Kollias, ... Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 42 | 2000 |
A general framework for learning rules from data B Apolloni, A Esposito, D Malchiodi, C Orovas, G Palmas, JG Taylor IEEE Transactions on Neural Networks 15 (6), 1333-1349, 2004 | 37 | 2004 |
From synapses to rules B Apolloni, D Malchiodi, C Orovas, G Palmas Cognitive Systems Research 3 (2), 167-201, 2002 | 31 | 2002 |
A cellular system for pattern recognition using associative neural networks C Orovas, J Austin 1998 Fifth IEEE International Workshop on Cellular Neural Networks and their …, 1998 | 18 | 1998 |
Cellular associative neural networks for pattern recognition C Orovas University of York, 2000 | 15 | 2000 |
A heuristically enhanced gradient approximation (HEGA) algorithm for training neural networks D Panagiotopoulos, C Orovas, D Syndoukas Neurocomputing 73 (7-9), 1303-1323, 2010 | 11 | 2010 |
Cellular associative neural networks for image interpretation C Orovas, J Austin IET Digital Library, 1997 | 8 | 1997 |
Neural networks for early diagnosis of postpartum PTSD in women after cesarean section C Orovas, E Orovou, M Dagla, A Daponte, N Rigas, S Ougiaroglou, ... Applied Sciences 12 (15), 7492, 2022 | 7 | 2022 |
Congenital Zika Infection and the Risk of Neurodevelopmental, Neurological, and Urinary Track Disorders in Early Childhood. A Systematic Review E Antoniou, E Orovou, PE Andronikidi, C Orovas, N Rigas, E Palaska, ... Viruses 13 (8), 1671, 2021 | 6 | 2021 |
Fuzzy methods for simplifying a boolean formula inferred from examples B Apolloni, D Malchiodi, C Orovas, AM Zanaboni From Synapses to Rules: Discovering Symbolic Rules from Neural Processed …, 2002 | 6 | 2002 |
The importance of use of the on-line databases as a source for systematic review of toxoplasmosis screening during pregnancy C Voyiatzaki, C Orovas, M Trapali, DI Chaniotis, AG Kriebardis, ... Acta Informatica Medica 29 (3), 216, 2021 | 5 | 2021 |
Constructing symbols as manipulable structures by recurrent networks JG Taylor, NR Taylor, B Apolloni, C Orovas Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 5 | 2000 |
A cellular neural associative array for symbolic vision C Orovas, J Austin International Workshop on Hybrid Neural Systems, 372-386, 1998 | 5 | 1998 |
A general framework for symbol and rule extraction in neural networks B Apolloni, C Orovas, J Taylor, W Fellenz, S Gielen, M Westerdijk Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 4 | 2000 |
Neural network based autonomous control of a speech synthesis system D Panagiotopoulos, C Orovas, D Syndoukas Intelligent Systems with Applications 14, 200077, 2022 | 3 | 2022 |
Augmented reality in primary education: An active learning approach in mathematics C Volioti, C Orovas, T Sapounidis, G Trachanas, E Keramopoulos Computers 12 (10), 207, 2023 | 2 | 2023 |
A Fuzzy method for learning simple boolean formulas from examples B Apolloni, A Brega, D Malchiodi, C Orovas, AM Zanaboni Computational Intelligence for Modelling and Prediction, 367-381, 2005 | 2 | 2005 |
Cellular Associative Symbolic Processing for Pattern Recognition. C Orovas, J Austin MFCS Workshop on Grammar Systems, 269-279, 1998 | 2 | 1998 |
Image Understanding with Cellular Associative Neural Networks C Orovas PhD thesis, Department of Computer Science, University of York, UK, 1996 …, 1996 | 1 | 1996 |
Hybrid hierarchical steps and learning by abstraction for an emotion recognition system B APOLLONI, C OROVAS, G PALMAS | 1 | |