Quantum stochastic optimization B Apolloni, C Carvalho, D De Falco Stochastic Processes and their Applications 33 (2), 233-244, 1989 | 251 | 1989 |
Electronic system for dynamic, quasi-realtime measuring and identifying driver maneuvers solely based on mobile phone telemetry, and a corresponding method thereof P Andri, S Bongers, S Bassis, B Apolloni US Patent 11,216,888, 2022 | 223 | 2022 |
What a neural net needs to know about emotion words R Cowie, E Douglas-Cowie, B Apolloni, J Taylor, A Romano, W Fellenz Computational intelligence and applications 404, 5311-5316, 1999 | 118 | 1999 |
A numerical implementation of “quantum annealing” B Apolloni, N Cesa-Bianchi, D De Falco Stochastic Processes, Physics and Geometry: Proceedings of the Ascona …, 1990 | 79 | 1990 |
Algorithmic inference in machine learning B Apolloni, D Malchiodi, S Gaito Advanced Knowledge International, 2006 | 66 | 2006 |
A neurofuzzy algorithm for learning from complex granules B Apolloni, S Bassis, J Rota, GL Galliani, M Gioia, L Ferrari Granular Computing 1, 225-246, 2016 | 61 | 2016 |
The puzzle of granular computing B Apolloni, S Bassis, D Malchiodi, W Pedrycz Springer Berlin Heidelberg, 2008 | 57 | 2008 |
Support vector machines and MLP for automatic classification of seismic signals at Stromboli volcano F Giacco, AM Esposito, S Scarpetta, F Giudicepietro, M Marinaro Neural Nets WIRN09, 116-123, 2009 | 56 | 2009 |
Machine learning and robot perception B Apolloni, A Ghosh, F Alpaslan, S Patnaik Springer Science & Business Media, 2005 | 53 | 2005 |
Diagnosis of epilepsy via backpropagation B Apolloni, G Avanzini, N Cesa-Bianchi, G Ronchini Proceedings of the 1990 international joint conference on neural networks 2 …, 1990 | 52 | 1990 |
Molecular basis of learning and memory: modelling based on receptor mosaics LF Agnati, LM Santarossa, F Benfenati, M Ferri, A Morpurgo, B Apolloni, ... From Synapses to Rules: Discovering Symbolic Rules from Neural Processed …, 2002 | 43 | 2002 |
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 | 39 | 2004 |
Reputation features for trust prediction in social networks JD Nuñez-Gonzalez, M Graña, B Apolloni Neurocomputing 166, 1-7, 2015 | 38 | 2015 |
Simulated annealing approach in backpropagation S Amato, B Apolloni, G Caporali, U Madesani, A Zanaboni Neurocomputing 3 (5-6), 207-220, 1991 | 38 | 1991 |
Learning fuzzy decision trees B Apolloni, G Zamponi, AM Zanaboni Neural Networks 11 (5), 885-895, 1998 | 34 | 1998 |
From synapses to rules B Apolloni, D Malchiodi, C Orovas, G Palmas Cognitive Systems Research 3 (2), 167-201, 2002 | 31 | 2002 |
PAC learning of concept classes through the boundaries of their items B Apolloni, S Chiaravalli Theoretical Computer Science 172 (1-2), 91-120, 1997 | 28 | 1997 |
Early Warning Systems: an approach via Self Organizing Maps with applications to emergent markets M Resta New Directions in Neural Networks, 176-184, 2009 | 27 | 2009 |
Algorithmic inference of two-parameter gamma distribution B Apolloni, S Bassis Communications in Statistics-Simulation and Computation 38 (9), 1950-1968, 2009 | 24 | 2009 |