Christos Orovas
Title
Cited by
Cited by
Year
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
372004
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
372000
From synapses to rules
B Apolloni, D Malchiodi, C Orovas, G Palmas
Cognitive Systems Research 3 (2), 167-201, 2002
302002
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
171998
Cellular associative neural networks for pattern recognition
C Orovas
University of York, 2000
122000
A heuristically enhanced gradient approximation (HEGA) algorithm for training neural networks
D Panagiotopoulos, C Orovas, D Syndoukas
Neurocomputing 73 (7-9), 1303-1323, 2010
92010
Cellular associative neural networks for image interpretation
C Orovas, J Austin
IET Digital Library, 1997
71997
Fuzzy methods for simplifying a boolean formula inferred from examples
B Apolloni, D Malchiodi, C Orovas, AM Zanaboni
From Synapses to Rules, 117-128, 2002
62002
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
52000
A cellular neural associative array for symbolic vision
C Orovas, J Austin
International Workshop on Hybrid Neural Systems, 372-386, 1998
51998
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
42000
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
22005
Cellular Associative Symbolic Processing for Pattern Recognition.
C Orovas, J Austin
MFCS Workshop on Grammar Systems, 269-279, 1998
21998
Hybrid hierarchical steps and learning by abstraction for an emotion recognition system
B APOLLONI, C OROVAS, G PALMAS
2
Image Understanding with Cellular Associative Neural Networks
C Orovas
PhD thesis, Department of Computer Science, University of York, UK, 1996 …, 1996
11996
Λειτουργικά Συστήματα και Ασφάλεια Πληροφοριακών Συστημάτων (Β’ Τάξη, Τομέας Πληροφορικής ΕΠΑ.Λ)
Ν Κατσούλας, Χ Όροβας, Σ Παναγιωτίδης
Ινστιτούτο Τεχνολογίας Υπολογιστών και Εκδόσεων «Διόφαντος», 2015
2015
FUZZY METHODS FOR SIMPLIFYING A BOOLEAN FORMULA INFERRED FROM
B APOLLONI, D MALCHIODI, C OROVAS
From Synapses to Rules: Discovering Symbolic Rules from Neural Processed …, 2012
2012
Deliverable D07
B Apolloni, D Malchiodi, CSS OrovaS, A Zanaboni
2002
Fuzzy methods for simplifying boolean formula inferred from examples. In: From synapses to rules
B Apolloni, D Malchiodi, C Orovas, AM Zanaboni
Kluwer Academic, 2002
2002
On emotion recognition of faces and of speech using neural networks, fuzzy logic and the ASSESS system WA Fellenz, JG Taylor Department of Mathematics, King's College, Strand …
R Cowie, E Douglas-Cowie, F Piat, S Kollias, C Orovas, B Apolloni
Neural Computing: New Challenges and Perspectives for the New Millennium 2, 93, 2000
2000
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Articles 1–20