Sfoglia per Autore
An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics
2017-01-01 Vitiello, A.; Acampora, G.; Cutugno, F.; Wagner, P.; Origlia, A.
The Role of Nature-inspired Metaheuristic Algorithms for Optimal Voltage Regulation in Urban Smart Grids
2017-01-01 Acampora, G.; Caruso, D.; Vaccaro, V.; Vitiello, A.; Zobaa, A. F.
IEEE 1849: The XES Standard: The Second IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs]
2017-01-01 Acampora, Giovanni; Vitiello, Autilia; Di Stefano, Bruno; van der Aalst, Wil; Gunther, Christian; Verbeek, Eric
Extending IEEE Std 1855 for designing Arduinoâ¢-based fuzzy systems
2017-01-01 Acampora, Giovanni; Vitiello, Autilia
A Neuro-Fuzzy-Bayesian Approach for the Adaptive Control of Robot Proxemics Behavior
2017-01-01 Vitiello, A.; Acampora, G.; Staffa, M.; Siciliano, B.; Rossi, S.
An intelligent framework for predicting state war engagement from territorial data
2017-01-01 Acampora, Giovanni; Tortora, Genoveffa; Vitiello, Autilia
A Comparison of Fuzzy Approaches for Training a Humanoid Robotic Football Player
2017-01-01 Acampora, G; Di Nuovo, A; Siciliano, B; Vitiello, A
A fuzzy-based autoscaling approach for process centered cloud systems
2017-01-01 Acampora, Giovanni; Bernardi, Mario Luca; Cimitile, Marta; Tortora, Genoveffa; Vitiello, Autilia
A multi-objective evolutionary approach to training set selection for support vector machine
2018-01-01 Acampora, Giovanni; Herrera, Francisco; Tortora, Genoveffa; Vitiello, Autilia
Application of Quantum Genetic Algorithms to Network Signal Setting Design
2023-01-01 Acampora, Giovanni; Chiatto, Angela; De Luca, Stefano; Di Pace, Roberta; Massa, Alfredo; Schiattarella, Roberto; Vitiello, Autilia
QUANTUMOONLIGHT: A low-code platform to experiment with quantum machine learning
2023-01-01 Amato, F; Cicalese, M; Contrasto, L; Cubicciotti, G; D'Ambola, G; La Marca, A; Pagano, G; Tomeo, F; Robertazzi, Ga; Vassallo, G; Acampora, G; Vitiello, A; Catolino, G; Giordano, G; Lambiase, S; Pontillo, V; Sellitto, G; Ferrucci, F; Palomba, F
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics | 1-gen-2017 | Vitiello, A.; Acampora, G.; Cutugno, F.; Wagner, P.; Origlia, A. | |
| The Role of Nature-inspired Metaheuristic Algorithms for Optimal Voltage Regulation in Urban Smart Grids | 1-gen-2017 | Acampora, G.; Caruso, D.; Vaccaro, V.; Vitiello, A.; Zobaa, A. F. | |
| IEEE 1849: The XES Standard: The Second IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs] | 1-gen-2017 | Acampora, Giovanni; Vitiello, Autilia; Di Stefano, Bruno; van der Aalst, Wil; Gunther, Christian; Verbeek, Eric | |
| Extending IEEE Std 1855 for designing Arduinoâ¢-based fuzzy systems | 1-gen-2017 | Acampora, Giovanni; Vitiello, Autilia | |
| A Neuro-Fuzzy-Bayesian Approach for the Adaptive Control of Robot Proxemics Behavior | 1-gen-2017 | Vitiello, A.; Acampora, G.; Staffa, M.; Siciliano, B.; Rossi, S. | |
| An intelligent framework for predicting state war engagement from territorial data | 1-gen-2017 | Acampora, Giovanni; Tortora, Genoveffa; Vitiello, Autilia | |
| A Comparison of Fuzzy Approaches for Training a Humanoid Robotic Football Player | 1-gen-2017 | Acampora, G; Di Nuovo, A; Siciliano, B; Vitiello, A | |
| A fuzzy-based autoscaling approach for process centered cloud systems | 1-gen-2017 | Acampora, Giovanni; Bernardi, Mario Luca; Cimitile, Marta; Tortora, Genoveffa; Vitiello, Autilia | |
| A multi-objective evolutionary approach to training set selection for support vector machine | 1-gen-2018 | Acampora, Giovanni; Herrera, Francisco; Tortora, Genoveffa; Vitiello, Autilia | |
| Application of Quantum Genetic Algorithms to Network Signal Setting Design | 1-gen-2023 | Acampora, Giovanni; Chiatto, Angela; De Luca, Stefano; Di Pace, Roberta; Massa, Alfredo; Schiattarella, Roberto; Vitiello, Autilia | |
| QUANTUMOONLIGHT: A low-code platform to experiment with quantum machine learning | 1-gen-2023 | Amato, F; Cicalese, M; Contrasto, L; Cubicciotti, G; D'Ambola, G; La Marca, A; Pagano, G; Tomeo, F; Robertazzi, Ga; Vassallo, G; Acampora, G; Vitiello, A; Catolino, G; Giordano, G; Lambiase, S; Pontillo, V; Sellitto, G; Ferrucci, F; Palomba, F |
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