Giovanna Castellano
Cited by
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An iterative pruning algorithm for feedforward neural networks
G Castellano, AM Fanelli, M Pelillo
IEEE transactions on Neural networks 8 (3), 519-531, 1997
Variable selection using neural-network models
G Castellano, AM Fanelli
Neurocomputing 31 (1-4), 1-13, 2000
Meta-data: Characterization of input features for meta-learning
C Castiello, G Castellano, AM Fanelli
Modeling Decisions for Artificial Intelligence, 295-304, 2005
Using convolutional neural networks for predictive process analytics
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
2019 international conference on process mining (ICPM), 129-136, 2019
Knowledge discovery by a neuro-fuzzy modeling framework
G Castellano, C Castiello, AM Fanelli, C Mencar
Fuzzy Sets and Systems 149 (1), 187-207, 2005
Deep learning approaches to pattern extraction and recognition in paintings and drawings: An overview
G Castellano, G Vessio
Neural Computing and Applications 33 (19), 12263-12282, 2021
Similarity-based fuzzy clustering for user profiling
G Castellano, AM Fanelli, C Mencar, MA Torsello
Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web …, 2007
Distinguishability quantification of fuzzy sets
C Mencar, G Castellano, AM Fanelli
Information Sciences 177 (1), 130-149, 2007
A mHealth solution for contact-less self-monitoring of blood oxygen saturation
G Casalino, G Castellano, G Zaza
2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020
LODAP: a log data preprocessor for mining web browsing patterns
G Castellano, AM Fanelli, MA Torsello
Proceedings of the 6th Conference on 6th Int. Conf. on Artificial …, 2007
A neuro-fuzzy network to generate human-understandable knowledge from data
G Castellano, AM Fanelli, C Mencar
Cognitive Systems Research 3 (2), 125-144, 2002
NEWER: A system for NEuro-fuzzy WEb Recommendation
G Castellano, AM Fanelli, MA Torsello
Applied Soft Computing 11 (1), 793-806, 2011
An empirical risk functional to improve learning in a neuro-fuzzy classifier
G Castellano, AM Fanelli, C Mencar
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 34 …, 2004
Automatic generation of fuzzy rules for reactive robot controllers
G Castellano, G Attolico, A Distante
Robotics and Autonomous Systems 22 (2), 133-149, 1997
PeppeRecycle: Improving children’s attitude toward recycling by playing with a social robot
G Castellano, B De Carolis, F D’Errico, N Macchiarulo, V Rossano
International Journal of Social Robotics 13 (1), 97-111, 2021
A multi-view deep learning approach for predictive business process monitoring
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
IEEE Transactions on Services Computing 15 (4), 2382-2395, 2021
Using adaptive thresholding and skewness correction to detect gray areas in melanoma in situ images
G Sforza, G Castellano, SK Arika, RW LeAnder, RJ Stanley, WV Stoecker, ...
IEEE Transactions on Instrumentation and Measurement 61 (7), 1839-1847, 2012
Generation of interpretable fuzzy granules by a double-clustering technique
G Castellano, AM Fanelli, C Mencar
Archives of Control Science 12 (4), 397-410, 2002
Crowd detection in aerial images using spatial graphs and fully-convolutional neural networks
G Castellano, C Castiello, C Mencar, G Vessio
IEEE Access 8, 64534-64544, 2020
Design of transparent Mamdani fuzzy inference systems
G Castellano, AM Fanelli, C Mencar
Proc. of the Third International Conference on Hybrid Intelligent Systems …, 2003
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