FERONE, Alessio
FERONE, Alessio
Dipartimento di Scienze e Tecnologie
A Bayesian Approach to Tracking Learning Detection
2013-01-01 Gemignani, G; Choi, W; Ferone, Alessio; Petrosino, Alfredo; Savarese, S.
A blockchain-based infection tracing and notification system by non-fungible tokens
2022-01-01 Ferone, Alessio; Porta, Antonio Della
A Neuro Fuzzy Approach for Handling Structured Data
2008-01-01 Ferone, Alessio; Petrosino, Alfredo
A real-time streaming server in the RTLinux environment using VideoLanClient
2011-01-01 Petrosino, Alfredo; Miralto, Marco; Ferone, Alessio
A Rough Fuzzy Perspective to Dimensionality Reduction
2015-01-01 Ferone, Alessio; Petrosino, Alfredo
A Rough-Fuzzy HSV Color Histogram for Image Segmentation
2011-01-01 Ferone, Alessio; Pal, Sankar Kumar; Petrosino, Alfredo
A Supervised Approach to 3D Structural Classification of Proteins
2013-01-01 Cantoni, V; Ferone, Alessio; Petrosino, Alfredo; Sanniti di Baja, G.
A Synthetic Dataset for Learning Optical Flow in Underwater Environment
2023-01-01 Ferone, A.; Lazzaro, M.; Scarrica, V. M.; Ciaramella, A.; Staiano, A.
Adaptive quick reduct for feature drift detection
2021-01-01 Ferone, A.; Maratea, A.
AI-based Monitoring of Coastal and Marine Environments
2023-01-01 Camastra, F.; Ciaramella, A.; Di Nardo, E.; Ferone, A.; Maratea, A.; Montella, R.; Staiano, A.
Comparison of GHT-Based Approaches to Structural Motif Retrieval
2013-01-01 Ferone, Alessio; Ozbudak, O.
Decoy clustering through graded possibilistic c-medoids
2017-01-01 Ferone, Alessio; Maratea, Antonio
Decoy Meta–Clustering Through Rough Graded Possibilistic C-Medoids
2020-01-01 Ferone, Alessio; Maratea, Antonio
Deep Neural Networks and Explainable Machine Learning
2019-01-01 Maratea, Antonio; Ferone, Alessio
Exploiting Kepler’s Heritage: A Transfer Learning Approach for Identifying Exoplanets’ Transits in TESS Data
2021-01-01 Fiscale, Stefano; Ciaramella, Angelo; Inno, Laura; Covone, Giovanni; Ferone, Alessio; Rotundi, Alessandra; Hoffman, Kelsey L.; Quintana, Elisa; Rowe, Jason F.; Bifulco, Ida; Cacciapuoti, Luca; Gallo, Francesco; Ienco, Riccardo
Feature Discovery through Hierarchies of Rough Fuzzy Sets
2011-01-01 Petrosino, Alfredo; Ferone, Alessio
Feature selection based on composition of rough sets induced by feature granulation
2018-01-01 Ferone, Alessio
Feature selection through composition of rough–fuzzy sets
2017-01-01 Ferone, Alessio; Petrosino, Alfredo
Graded Possibilistic Meta Clustering
2020-01-01 Ferone, A.; Maratea, A.
Identifying Exoplanets in TESS Data by Deep Learning
2023-01-01 Fiscale, S.; Inno, L.; Ciaramella, A.; Ferone, A.; Rotundi, A.; De Luca, P.; Galletti, A.; Marcellino, L.; Covone, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Bayesian Approach to Tracking Learning Detection | 1-gen-2013 | Gemignani, G; Choi, W; Ferone, Alessio; Petrosino, Alfredo; Savarese, S. | |
| A blockchain-based infection tracing and notification system by non-fungible tokens | 1-gen-2022 | Ferone, Alessio; Porta, Antonio Della | |
| A Neuro Fuzzy Approach for Handling Structured Data | 1-gen-2008 | Ferone, Alessio; Petrosino, Alfredo | |
| A real-time streaming server in the RTLinux environment using VideoLanClient | 1-gen-2011 | Petrosino, Alfredo; Miralto, Marco; Ferone, Alessio | |
| A Rough Fuzzy Perspective to Dimensionality Reduction | 1-gen-2015 | Ferone, Alessio; Petrosino, Alfredo | |
| A Rough-Fuzzy HSV Color Histogram for Image Segmentation | 1-gen-2011 | Ferone, Alessio; Pal, Sankar Kumar; Petrosino, Alfredo | |
| A Supervised Approach to 3D Structural Classification of Proteins | 1-gen-2013 | Cantoni, V; Ferone, Alessio; Petrosino, Alfredo; Sanniti di Baja, G. | |
| A Synthetic Dataset for Learning Optical Flow in Underwater Environment | 1-gen-2023 | Ferone, A.; Lazzaro, M.; Scarrica, V. M.; Ciaramella, A.; Staiano, A. | |
| Adaptive quick reduct for feature drift detection | 1-gen-2021 | Ferone, A.; Maratea, A. | |
| AI-based Monitoring of Coastal and Marine Environments | 1-gen-2023 | Camastra, F.; Ciaramella, A.; Di Nardo, E.; Ferone, A.; Maratea, A.; Montella, R.; Staiano, A. | |
| Comparison of GHT-Based Approaches to Structural Motif Retrieval | 1-gen-2013 | Ferone, Alessio; Ozbudak, O. | |
| Decoy clustering through graded possibilistic c-medoids | 1-gen-2017 | Ferone, Alessio; Maratea, Antonio | |
| Decoy Meta–Clustering Through Rough Graded Possibilistic C-Medoids | 1-gen-2020 | Ferone, Alessio; Maratea, Antonio | |
| Deep Neural Networks and Explainable Machine Learning | 1-gen-2019 | Maratea, Antonio; Ferone, Alessio | |
| Exploiting Kepler’s Heritage: A Transfer Learning Approach for Identifying Exoplanets’ Transits in TESS Data | 1-gen-2021 | Fiscale, Stefano; Ciaramella, Angelo; Inno, Laura; Covone, Giovanni; Ferone, Alessio; Rotundi, Alessandra; Hoffman, Kelsey L.; Quintana, Elisa; Rowe, Jason F.; Bifulco, Ida; Cacciapuoti, Luca; Gallo, Francesco; Ienco, Riccardo | |
| Feature Discovery through Hierarchies of Rough Fuzzy Sets | 1-gen-2011 | Petrosino, Alfredo; Ferone, Alessio | |
| Feature selection based on composition of rough sets induced by feature granulation | 1-gen-2018 | Ferone, Alessio | |
| Feature selection through composition of rough–fuzzy sets | 1-gen-2017 | Ferone, Alessio; Petrosino, Alfredo | |
| Graded Possibilistic Meta Clustering | 1-gen-2020 | Ferone, A.; Maratea, A. | |
| Identifying Exoplanets in TESS Data by Deep Learning | 1-gen-2023 | Fiscale, S.; Inno, L.; Ciaramella, A.; Ferone, A.; Rotundi, A.; De Luca, P.; Galletti, A.; Marcellino, L.; Covone, G. |