1
A hybrid approach exploiting machine learning models and SIFT-based matching for speed-optimized comparisons in iris authentication systems
Militello, Carmelo; Barbera, Antonino; Mirotta, Mauro; Conti, Vincenzo
ARRAY
 Articolo in rivista 2026
2
A novel knowledge distillation and hybrid explainability approach for phenology stage classification from multi-source time series
Ullah, N.; Chacon-Maldonado, A. M.; Martinez-Alvarez, F.; De Falco, I.; Sannino, G.
INFORMATION FUSION
 Articolo in rivista 2026
3
Addressing Background Bias in Explainable Orange Fruit Disease Classification Using Deep Learning
Ullah, N.; Khan, J. A.; Ruocco, M.; Cioppa, A. D.; De Falco, I.; Sannino, G.
COMPUTERS, MATERIALS & CONTINUA
 Articolo in rivista 2026
4
An explainable deep learning method based on spectral co-clustering for ozone time series forecasting
Ullah, N.; Martinez-Alvarez, F.; De Falco, I.; Sannino, G.
APPLIED INTELLIGENCE
 Articolo in rivista 2026
5
CAT: A Concept Annotation Tool for supporting the development of interpretable deep learning models
Bevilacqua, V.; Di Marino, A.; Ciaramella, A.; De Falco, I.; Sannino, G.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
 Articolo in rivista 2026
6
Empirical Evaluation of Prompt Sensitivity and Optimization in Alzheimer Disease Speech Classification
Shahid, I.; Pouriyeh, S.; Xie, Y.; Santopaolo, A.; Giugliano, S.; Sannino, G.
 Contributo in Atti di convegno 2026
7
Explainable Multi-Modal Medical Image Analysis Through Dual-Stream Multi-Feature Fusion and Class-Specific Selection
Ullah, N.; De Falco, I.; Sannino, G.
AI
 Articolo in rivista 2026
8
Multi-horizon Forecasting of Air Pollutants Using an Explainable Multi-task Attention-Based LSTM
Ullah, N.; De Falco, I.; Sannino, G.
 Contributo in Atti di convegno 2026
9
Parallel GLRT-Based SAR Tomographic Processing on Distributed Multi-GPU Platforms
Imperatore, Pasquale; Russo, Massimiliano; Nisar, Mehwish; Lapegna, Marco; Romano, Diego; Pauciullo, Antonio
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 Articolo in rivista 2026
10
Personalized Multi-horizon Glucose Forecasting in Type 1 Diabetes via Deep Learning
Santopaolo, A.; Basile, I.; Giuseppi, A.; Sannino, G.
 Contributo in Atti di convegno 2026