Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (WIVACE, 2021)

From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Mario Molinara (IEEE J. Biomed. Health Informatics, 2021)

Lognormal Features for Early Diagnosis of Alzheimer's Disease Through Handwriting Analysis. - Nicole Dalia Cilia; Tiziana D'Alessandro; Cristina Carmona-Duarte; Claudio De Stefano; Moisés Díaz; Miguel A. Ferrer; Francesco Fontanella (IGS, 2022)

Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study. - Francesco Fontanella; Sonia Pinelli; Claudio Babiloni; Roberta Lizio; Claudio Del Percio; Susanna Lopez; Giuseppe Noce; Franco Giubilei; Fabrizio Stocchi; Giovanni B. Frisoni; Flavio Nobili; Raffaele Ferri; et al. (ICIAP (1), 2022)

Offline handwriting image analysis to predict Alzheimer's disease via deep learning. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella (ICPR, 2022)

Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone (ICPR Workshops (1), 2022)

A Novel Evolutionary Approach for Neural Architecture Search. - Alessandro Bria; Paolo De Ciccio; Tiziana D'Alessandro; Francesco Fontanella (WIVACE, 2022)

Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer's disease prediction. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella (Mach. Vis. Appl., 2022)

A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting Through Lognormal Features. - Tiziana D'Alessandro; Cristina Carmona-Duarte; Claudio De Stefano; Moisés Díaz; Miguel Ángel Ferrer; Francesco Fontanella (IGS, 2023)

Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone; Alessandra Scotto di Freca (IGS, 2023)

A Novel Writer Identification Approach for Greek Papyri Images. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Isabelle Marthot-Santaniello; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops (2), 2023)

A Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone; Alessandra Scotto di Freca (WIVACE, 2023)

Comparing filter and wrapper approaches for feature selection in handwritten character recognition. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2023)

Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone (EvoApplications@EvoStar, 2024)

From Handwriting Analysis to Alzheimer's Disease Prediction: An Experimental Comparison of Classifier Combination Methods. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone; Cesare Davide Pace (ICDAR (2), 2024)

Writer Identification in Multiple Medieval Books: A Preliminary Study. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (ICPR (17), 2024)

Advancements and Challenges in Artificial Intelligence for Lewy Body Disease Research: A Brief Survey. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Olga Pustovalova (ICPR (Workshops and Challenges, 2), 2024)

Transformers and CNNs in Neurodiagnostics: Handwriting Analysis for Alzheimer's Diagnosis. - Gabriele Lozupone; Emanuele Nardone; Cesare Davide Pace; Tiziana D'Alessandro (ICPR (11), 2024)

UniCas for Medicine and Healthcare. - Marco Cantone; Svonko Galasso; Gabriele Lozupone; Emanuele Nardone; Cesare Davide Pace; Ciro Russo; Alessandro Bria; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; et al. (Ital-IA, 2024)

Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study. - Emanuele Nardone; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella (EvoApplications (2), 2025)

Resting-state functional MRI metrics to detect freezing of gait in Parkinson's disease: a machine learning approach. - Caterina Vicidomini; Francesco Fontanella; Tiziana D'Alessandro; Giovanni N. Roviello; Claudio De Stefano; Fabrizio Stocchi; Mario Quarantelli; Maria Francesca De Pandis (Comput. Biol. Medicine, 2025)

A Bayesian network combiner for multimodal handwriting analysis in Alzheimer's disease detection. - Emanuele Nardone; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2025)

How Data Augmentation Affects Evolutionary Algorithms in Feature Selection: An Experimental Study. - Emanuele Nardone; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella (SN Comput. Sci., 2025)