Nicole Dalia Cilia

45 papers B 7C 1Journal 17Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Machine learning applications in the diagnostic work-up of varicocele.
Biomed. Signal Process. Control.
Nicole Dalia Cilia, Donatella Paoli, Valerio Mario Salerno, Francesco Lombardo, Francesco Pallotti
2025 J jnl
A Deep Transfer Learning Approach for Writer Identification in Greek Papyri.
ACM Journal on Computing and Cultural Heritage
Tiziana D'Alessandro, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca, Isabelle Marthot-Santaniello
2025 J jnl
Handwriting strokes as biomarkers for Alzheimer's disease prediction: A novel machine learning approach.
Comput. Biol. Medicine
Emanuele Nardone, Claudio De Stefano, Nicole Dalia Cilia, Francesco Fontanella
2024 B conf
A pilot study on gaze and mouse data for user identification.
ETRA
Nicole Dalia Cilia, Andrea Pietro Arena, Antonino Barbera, Emanuele Borrello, Giuseppe Capizzi, Salvatore Cappello, Luigi Pio Faletra, Stefano Incardone, Salvatore Sorce
2024 J jnl
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis.
Swarm Evol. Comput.
Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi
2024 — conf
Feature Selection Voting Strategies and Hyperparameter Tuning in a Boosting Classification.
ICPR (2)
Nicole Dalia Cilia, Giovanni Fanara, Vincenzo Conti
2024 J jnl
How word semantics and phonology affect handwriting of Alzheimer's patients: A machine learning based analysis.
Comput. Biol. Medicine
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Sabato Marco Siniscalchi
2024 — conf
Machine Learning Applications in Male Factor Infertility: Have Cytokines a Role in the Diagnostic Work-Up of Varicocele?
ICPR (Workshops and Challenges, 2)
Nicole Dalia Cilia, Valerio Mario Salerno, Roberta Malaguarnera, Francesco Pallotti
2024 — conf
Vision-Language Multimodal Fusion in Dermatological Disease Classification.
ICPR (Workshops and Challenges, 4)
Moreno La Quatra, Nicole Dalia Cilia, Vincenzo Conti, Salvatore Sorce, Giovanni Garraffa, Valerio Mario Salerno
2023 — conf
A Novel Writer Identification Approach for Greek Papyri Images.
ICIAP Workshops (2)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Mario Molinara, Alessandra Scotto di Freca
2023 J jnl
Comparing filter and wrapper approaches for feature selection in handwritten character recognition.
Pattern Recognit. Lett.
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2023 J jnl
How word semantics and phonology affect handwriting of Alzheimer's patients: a machine learning based analysis.
CoRR
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Sabato Marco Siniscalchi
2023 — —
Role of handwriting analysis through machine and deep learning to support the diagnosis of cognitive impairment.
Nicole Dalia Cilia
2022 J jnl
Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer's disease prediction.
Mach. Vis. Appl.
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2022 J jnl
Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking.
Eng. Appl. Artif. Intell.
Nicole Dalia Cilia, Giuseppe De Gregorio, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale
2022 — conf
Lognormal Features for Early Diagnosis of Alzheimer's Disease Through Handwriting Analysis.
IGS
Nicole Dalia Cilia, Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel A. Ferrer, Francesco Fontanella
2022 — conf
Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study.
ICIAP (1)
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, Tiziana D'Alessandro, Nicole Dalia Cilia, Claudio De Stefano
2022 B conf
Offline handwriting image analysis to predict Alzheimer's disease via deep learning.
ICPR
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2022 — conf
Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning.
ICPR Workshops (1)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone
2022 B conf
Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis.
EvoApplications
Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi
2021 J jnl
Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis.
IEEE Access
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2021 J jnl
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
IEEE J. Biomed. Health Informatics
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Mario Molinara
2021 — conf
Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments.
WIVACE
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2020 J jnl
An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents.
J. Imaging
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2020 J jnl
An end-to-end deep learning system for medieval writer identification.
Pattern Recognit. Lett.
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2020 B conf
Deep Transfer Learning for Alzheimer's disease detection.
ICPR
Nicole Dalia Cilia, Claudio De Stefano, Claudio Marrocco, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2020 — conf
Handwriting-Based Classifier Combination for Cognitive Impairment Prediction.
ICPR Workshops (1)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2020 — conf
Novel Mutation Operators of a Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data.
ICIC (1)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella
2020 — conf
PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification.
ICPR Workshops (7)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Alessandra Scotto di Freca
2020 B conf
Using Genetic Algorithms for the Prediction of Cognitive Impairments.
EvoApplications
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2020 J jnl
What is the minimum training data size to reliably identify writers in medieval manuscripts?
Pattern Recognit. Lett.
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2019 — conf
A Page-Based Reject Option for Writer Identification in Medieval Books.
ICIAP Workshops
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2019 — conf
A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books.
CAIP (2)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2019 J jnl
A ranking-based feature selection approach for handwritten character recognition.
Pattern Recognit. Lett.
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2019 J jnl
An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets.
Inf.
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Stefano Raimondo, Alessandra Scotto di Freca
2019 — conf
Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study.
CAIP (2)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2019 — conf
How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: A Preliminary Study.
WIVACE
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2019 — conf
Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts.
ICIAP Workshops
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2019 J jnl
Reachability Matrix Ontology: A Cybersecurity Ontology.
Appl. Artif. Intell.
Noemi Scarpato, Nicole Dalia Cilia, Marco Romano
2019 — conf
Using Handwriting Features to Characterize Cognitive Impairment.
ICIAP (2)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2019 B conf
Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data.
EvoApplications
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2018 — conf
An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis.
EUSPN/ICTH
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2018 B conf
Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data.
EvoApplications
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2018 C conf
Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach.
CIARP
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2015 — conf
A Semantic Approach to Reachability Matrix Computation.
STIDS
Nicole Dalia Cilia, Noemi Scarpato, Marco Romano