A Semantic Approach to Reachability Matrix Computation. - Nicole Dalia Cilia; Noemi Scarpato; Marco Romano (STIDS, 2015)

Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (CIARP, 2018)

An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (EUSPN/ICTH, 2018)

Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (EvoApplications, 2018)

Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (CAIP (2), 2019)

A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (CAIP (2), 2019)

Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (EvoApplications, 2019)

Using Handwriting Features to Characterize Cognitive Impairment. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICIAP (2), 2019)

Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops, 2019)

A Page-Based Reject Option for Writer Identification in Medieval Books. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops, 2019)

How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: A Preliminary Study. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (WIVACE, 2019)

Reachability Matrix Ontology: A Cybersecurity Ontology. - Noemi Scarpato; Nicole Dalia Cilia; Marco Romano (Appl. Artif. Intell., 2019)

An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Stefano Raimondo; Alessandra Scotto di Freca (Inf., 2019)

A ranking-based feature selection approach for handwritten character recognition. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2019)

Using Genetic Algorithms for the Prediction of Cognitive Impairments. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (EvoApplications, 2020)

Novel Mutation Operators of a Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella (ICIC (1), 2020)

Handwriting-Based Classifier Combination for Cognitive Impairment Prediction. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (ICPR Workshops (1), 2020)

PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Isabelle Marthot-Santaniello; Alessandra Scotto di Freca (ICPR Workshops (7), 2020)

Deep Transfer Learning for Alzheimer's disease detection. - Nicole Dalia Cilia; Claudio De Stefano; Claudio Marrocco; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICPR, 2020)

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (J. Imaging, 2020)

What is the minimum training data size to reliably identify writers in medieval manuscripts? - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2020)

An end-to-end deep learning system for medieval writer identification. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2020)

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)

Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (IEEE Access, 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)

Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. - Irene Azzali; Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi (EvoApplications, 2022)

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)

Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking. - Nicole Dalia Cilia; Giuseppe De Gregorio; Claudio De Stefano; Francesco Fontanella; Angelo Marcelli; Antonio Parziale (Eng. Appl. Artif. Intell., 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 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)

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)

A pilot study on gaze and mouse data for user identification. - Nicole Dalia Cilia; Andrea Pietro Arena; Antonino Barbera; Emanuele Borrello; Giuseppe Capizzi; Salvatore Cappello; Luigi Pio Faletra; Stefano Incardone; Salvatore Sorce (ETRA, 2024)

Feature Selection Voting Strategies and Hyperparameter Tuning in a Boosting Classification. - Nicole Dalia Cilia; Giovanni Fanara; Vincenzo Conti (ICPR (2), 2024)

Machine Learning Applications in Male Factor Infertility: Have Cytokines a Role in the Diagnostic Work-Up of Varicocele? - Nicole Dalia Cilia; Valerio Mario Salerno; Roberta Malaguarnera; Francesco Pallotti (ICPR (Workshops and Challenges, 2), 2024)

Vision-Language Multimodal Fusion in Dermatological Disease Classification. - Moreno La Quatra; Nicole Dalia Cilia; Vincenzo Conti; Salvatore Sorce; Giovanni Garraffa; Valerio Mario Salerno (ICPR (Workshops and Challenges, 4), 2024)

Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis. - Irene Azzali; Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi (Swarm Evol. Comput., 2024)

How word semantics and phonology affect handwriting of Alzheimer's patients: A machine learning based analysis. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Sabato Marco Siniscalchi (Comput. Biol. Medicine, 2024)

Handwriting strokes as biomarkers for Alzheimer's disease prediction: A novel machine learning approach. - Emanuele Nardone; Claudio De Stefano; Nicole Dalia Cilia; Francesco Fontanella (Comput. Biol. Medicine, 2025)

Machine learning applications in the diagnostic work-up of varicocele. - Nicole Dalia Cilia; Donatella Paoli; Valerio Mario Salerno; Francesco Lombardo; Francesco Pallotti (Biomed. Signal Process. Control., 2026)