Nicole Dalia Cilia

According to our database, Nicole Dalia Cilia authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, February, 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

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

Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024

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., April, 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

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

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

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

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

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Offline handwriting image analysis to predict Alzheimer's disease via deep learning.

Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella

Proceedings of the 26th International Conference on Pattern Recognition, 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, Tiziana D'Alessandro, Nicole Dalia Cilia, Claudio De Stefano

Proceedings of the Image Analysis and Processing - ICIAP 2022, 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

Proceedings of the Intertwining Graphonomics with Human Movements, 2022

Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis.

Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

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

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

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

Proceedings of the Artificial Life and Evolutionary Computation - 15th Italian Workshop, 2021

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

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 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

Deep Transfer Learning for Alzheimer's disease detection.

Nicole Dalia Cilia, Claudio De Stefano, Claudio Marrocco, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca

Proceedings of the 25th International Conference on Pattern Recognition, 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

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Handwriting-Based Classifier Combination for Cognitive Impairment Prediction.

Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 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

Proceedings of the Intelligent Computing Theories and Application, 2020

Using Genetic Algorithms for the Prediction of Cognitive Impairments.

Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca

Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

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

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

Reachability Matrix Ontology: A Cybersecurity Ontology.

Noemi Scarpato, Nicole Dalia Cilia, Marco Romano

Appl. Artif. Intell., 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

Proceedings of the Artificial Life and Evolutionary Computation - 14th Italian Workshop, 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

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 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

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Using Handwriting Features to Characterize Cognitive Impairment.

Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca

Proceedings of the Image Analysis and Processing - ICIAP 2019, 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

Proceedings of the Applications of Evolutionary Computation, 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

Proceedings of the Computer Analysis of Images and Patterns, 2019

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

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data.

Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca

Proceedings of the Applications of Evolutionary Computation, 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

Proceedings of the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, 2018

Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach.

Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2015

A Semantic Approach to Reachability Matrix Computation.

Nicole Dalia Cilia, Noemi Scarpato, Marco Romano

Proceedings of the Tenth Conference on Semantic Technology for Intelligence, 2015