SANNINO, GIOVANNA
SANNINO, GIOVANNA
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
A novel knowledge distillation and hybrid explainability approach for phenology stage classification from multi-source time series
2026 Ullah, N.; Chacon-Maldonado, A. M.; Martinez-Alvarez, F.; De Falco, I.; Sannino, G.
Addressing Background Bias in Explainable Orange Fruit Disease Classification Using Deep Learning
2026 Ullah, N.; Khan, J. A.; Ruocco, M.; Cioppa, A. D.; De Falco, I.; Sannino, G.
An explainable deep learning method based on spectral co-clustering for ozone time series forecasting
2026 Ullah, N.; Martinez-Alvarez, F.; De Falco, I.; Sannino, G.
CAT: A Concept Annotation Tool for supporting the development of interpretable deep learning models
2026 Bevilacqua, V.; Di Marino, A.; Ciaramella, A.; De Falco, I.; Sannino, G.
Explainable Multi-Modal Medical Image Analysis Through Dual-Stream Multi-Feature Fusion and Class-Specific Selection
2026 Ullah, N.; De Falco, I.; Sannino, G.
SAND: The Challenge on Speech Analysis for Neurodegenerative Disease Assessment
2026 Sannino, Giovanna; De Falco, Ivanoe; Brancati, Nadia; Verde, Laura; Frucci, Maria; Riccio, Daniel; Bevilacqua, Vincenzo; Di Marino, Antonio; Aruta, Lucia; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; Spisto, Myriam; Dubbioso, Raffaele
A novel explainable AI framework for medical image classification integrating statistical, visual, and rule-based methods
2025 Ullah, N.; Guzman-Aroca, F.; Martinez-Alvarez, F.; De Falco, I.; Sannino, G.
An Explainable Deep Learning Framework with Adaptive Feature Selection for Smart Lemon Disease Classification in Agriculture
2025 Ullah, N.; Ruocco, M.; Della Cioppa, A.; De Falco, I.; Sannino, G.
Ante-Hoc Methods for Interpretable Deep Models: A Survey
2025 Di Marino, Antonio; Bevilacqua, Vincenzo; Ciaramella, Angelo; DE FALCO, Ivanoe; Sannino, Giovanna
Special Issue: Digital Healthcare Leveraging Edge Computing and the Internet of Things
2025 Celesti, A.; De Falco, I.; Sannino, G.; Carnevale, L.
Blood glucose level prediction in type 1 diabetes: A comparative analysis of interpretable artificial intelligence approaches
2024 Basile, Ilaria; Sannino, Giovanna
Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges
2024 Ullah, Naeem; Khan, Javed Ali; De Falco, Ivanoe; Sannino, Giovanna
Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment
2024 Dubbioso, Raffaele; Spisto, Myriam; Verde, Laura; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; DE PIETRO, Giuseppe; DE FALCO, Ivanoe; Sannino, Giovanna
Voice signals database of ALS patients with different dysarthria severity and healthy controls
2024 Dubbioso, Raffaele; Spisto, Myriam; Verde, Laura; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; Salvatore, Elena; DE PIETRO, Giuseppe; DE FALCO, Ivanoe; Sannino, Giovanna
CNN-based classification of phonocardiograms using fractal techniques
2023 Riccio, Daniel; Brancati, Nadia; Sannino, Giovanna; Verde, Laura; Frucci, Maria
Intelligent Systems for Clinical Care and Remote Patient Monitoring
2023 Sannino, Giovanna; Celesti, Antonio; DE FALCO, Ivanoe
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
2023 Mosaiyebzadeh, Fatemeh; Pouriyeh, Seyedamin; Parizi Reza, M; Sheng Quan, Z; Han, Meng; Zhao, Liang; Sannino, Giovanna; Ranieri Caetano, Mazzoni; Ueyama, Jo; Batista Daniel, Macedo
Special Issue "Advances in Machine and Deep Learning in the Health Domain"
2023 Celesti, Antonio; De Falco, Ivanoe; Galletta, Antonino; Sannino, Giovanna
A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments
2022 Verde, L; Brancati, N; DE PIETRO, Giuseppe; Frucci, M; Sannino, G
A Two-Step Approach for Classification in Alzheimer's Disease
2022 De Falco, I; De Pietro, G; Sannino, G
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A novel knowledge distillation and hybrid explainability approach for phenology stage classification from multi-source time series | 1-gen-2026 | Ullah, N.; Chacon-Maldonado, A. M.; Martinez-Alvarez, F.; De Falco, I.; Sannino, G. | |
| Addressing Background Bias in Explainable Orange Fruit Disease Classification Using Deep Learning | 1-gen-2026 | Ullah, N.; Khan, J. A.; Ruocco, M.; Cioppa, A. D.; De Falco, I.; Sannino, G. | |
| An explainable deep learning method based on spectral co-clustering for ozone time series forecasting | 1-gen-2026 | Ullah, N.; Martinez-Alvarez, F.; De Falco, I.; Sannino, G. | |
| CAT: A Concept Annotation Tool for supporting the development of interpretable deep learning models | 1-gen-2026 | Bevilacqua, V.; Di Marino, A.; Ciaramella, A.; De Falco, I.; Sannino, G. | |
| Explainable Multi-Modal Medical Image Analysis Through Dual-Stream Multi-Feature Fusion and Class-Specific Selection | 1-gen-2026 | Ullah, N.; De Falco, I.; Sannino, G. | |
| SAND: The Challenge on Speech Analysis for Neurodegenerative Disease Assessment | 1-gen-2026 | Sannino, Giovanna; De Falco, Ivanoe; Brancati, Nadia; Verde, Laura; Frucci, Maria; Riccio, Daniel; Bevilacqua, Vincenzo; Di Marino, Antonio; Aruta, Lucia; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; Spisto, Myriam; Dubbioso, Raffaele | |
| A novel explainable AI framework for medical image classification integrating statistical, visual, and rule-based methods | 1-gen-2025 | Ullah, N.; Guzman-Aroca, F.; Martinez-Alvarez, F.; De Falco, I.; Sannino, G. | |
| An Explainable Deep Learning Framework with Adaptive Feature Selection for Smart Lemon Disease Classification in Agriculture | 1-gen-2025 | Ullah, N.; Ruocco, M.; Della Cioppa, A.; De Falco, I.; Sannino, G. | |
| Ante-Hoc Methods for Interpretable Deep Models: A Survey | 1-gen-2025 | Di Marino, Antonio; Bevilacqua, Vincenzo; Ciaramella, Angelo; DE FALCO, Ivanoe; Sannino, Giovanna | |
| Special Issue: Digital Healthcare Leveraging Edge Computing and the Internet of Things | 1-gen-2025 | Celesti, A.; De Falco, I.; Sannino, G.; Carnevale, L. | |
| Blood glucose level prediction in type 1 diabetes: A comparative analysis of interpretable artificial intelligence approaches | 1-gen-2024 | Basile, Ilaria; Sannino, Giovanna | |
| Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges | 1-gen-2024 | Ullah, Naeem; Khan, Javed Ali; De Falco, Ivanoe; Sannino, Giovanna | |
| Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment | 1-gen-2024 | Dubbioso, Raffaele; Spisto, Myriam; Verde, Laura; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; DE PIETRO, Giuseppe; DE FALCO, Ivanoe; Sannino, Giovanna | |
| Voice signals database of ALS patients with different dysarthria severity and healthy controls | 1-gen-2024 | Dubbioso, Raffaele; Spisto, Myriam; Verde, Laura; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; Salvatore, Elena; DE PIETRO, Giuseppe; DE FALCO, Ivanoe; Sannino, Giovanna | |
| CNN-based classification of phonocardiograms using fractal techniques | 1-gen-2023 | Riccio, Daniel; Brancati, Nadia; Sannino, Giovanna; Verde, Laura; Frucci, Maria | |
| Intelligent Systems for Clinical Care and Remote Patient Monitoring | 1-gen-2023 | Sannino, Giovanna; Celesti, Antonio; DE FALCO, Ivanoe | |
| Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey | 1-gen-2023 | Mosaiyebzadeh, Fatemeh; Pouriyeh, Seyedamin; Parizi Reza, M; Sheng Quan, Z; Han, Meng; Zhao, Liang; Sannino, Giovanna; Ranieri Caetano, Mazzoni; Ueyama, Jo; Batista Daniel, Macedo | |
| Special Issue "Advances in Machine and Deep Learning in the Health Domain" | 1-gen-2023 | Celesti, Antonio; De Falco, Ivanoe; Galletta, Antonino; Sannino, Giovanna | |
| A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments | 1-gen-2022 | Verde, L; Brancati, N; DE PIETRO, Giuseppe; Frucci, M; Sannino, G | |
| A Two-Step Approach for Classification in Alzheimer's Disease | 1-gen-2022 | De Falco, I; De Pietro, G; Sannino, G |