| 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 | 43 | 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 | 39 | 2004 |
| 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 | 37 | 2023 |
| From synapses to rules B Apolloni, D Malchiodi, C Orovas, G Palmas Cognitive Systems Research 3 (2), 167-201, 2002 | 30 | 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 | 16 | 1998 |
| 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 | 15 | 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 | 15 | 2021 |
| Cellular associative neural networks for pattern recognition C Orovas University of York, 2000 | 15 | 2000 |
| Eeg in education: A scoping review of hardware, software, and methodological aspects C Orovas, T Sapounidis, C Volioti, E Keramopoulos Sensors (Basel, Switzerland) 25 (1), 182, 2024 | 14 | 2024 |
| 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 |
| Augmented Reality in Primary Education: An Active Learning Approach in Mathematics. Computers, 12 (10), 207 C Volioti, C Orovas, T Sapounidis, G Trachanas, E Keramopoulos | 8 | 2023 |
| Cellular associative neural networks for image interpretation C Orovas, J Austin 6th International Conference on Image Processing and its Applications, 665-669, 1997 | 8 | 1997 |
| 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 | 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 |
| A cellular neural associative array for symbolic vision C Orovas, J Austin International Workshop on Hybrid Neural Systems, 372-386, 1998 | 6 | 1998 |
| 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 |
| Neural network based autonomous control of a speech synthesis system D Panagiotopoulos, C Orovas, D Syndoukas Intelligent Systems with Applications 14, 200077, 2022 | 4 | 2022 |
| 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 |
| 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 |
Bruno Apolloniprofessore informatica , Università di MilanoVerified email at di.unimi.it
