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.
Empirical Evaluation of Prompt Sensitivity and Optimization in Alzheimer Disease Speech Classification
2026 Shahid, I.; Pouriyeh, S.; Xie, Y.; Santopaolo, A.; Giugliano, S.; 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.
Multi-horizon Forecasting of Air Pollutants Using an Explainable Multi-task Attention-Based LSTM
2026 Ullah, N.; De Falco, I.; Sannino, G.
Personalized Multi-horizon Glucose Forecasting in Type 1 Diabetes via Deep Learning
2026 Santopaolo, A.; Basile, I.; Giuseppi, A.; Sannino, G.
Preliminary Digital Assessment of Bulbar Function in ALS: an Exploratory Analysis of Parsimonious and Speech Features
2026 Giugliano, Salvatore; Thies, Tabea; Mallick, Elisa; Tröger, Johannes; Spisto, Myriam; Dubbioso, Raffaele; Sannino, Giovanna
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
Interpretable vs. Post-Hoc Explained Models for Digital Twin Applications in Clinical Forecasting: A Multiple Sclerosis Case Study
2025 Giugliano, Salvatore; Basile, Ilaria; Sannino, Giovanna
Optimizing Deep Learning for Cotton Leaf Disease Detection Using Meta-Heuristic Feature Selection Algorithms
2025 Ullah, N.; Martinez-Alvarez, F.; De Falco, I.; Sannino, G.
Remote Monitoring of Rehabilitation Exercises Through Motion Assessment
2025 Basile, Ilaria; 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
Bridging Clinical Gaps: Multi-Dataset Integration for Reliable Multi-Class Lung Disease Classification with DeepCRINet and Occlusion Sensitivity
2024 Ullah, N.; Khan, J. A.; De Falco, I.; Sannino, G.
Cross-domain Super-Resolution in Medical Imaging
2024 Bevilacqua, V.; Di Marino, A.; Di Nardo, E.; Ciaramella, A.; De Falco, I.; Sannino, G.