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ORCIDNicole Dalia Cilia
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2020 – today
- 2024
[j13]Nicole Dalia Cilia, Claudio De Stefano
, Francesco Fontanella, Sabato Marco Siniscalchi:
How word semantics and phonology affect handwriting of Alzheimer's patients: A machine learning based analysis. Comput. Biol. Medicine 169: 107891 (2024)- [j12]Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi:
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis. Swarm Evol. Comput. 87: 101571 (2024) - [c25]Nicole Dalia Cilia, Andrea Pietro Arena, Antonino Barbera, Emanuele Borrello, Giuseppe Capizzi, Salvatore Cappello, Luigi Pio Faletra, Stefano Incardone, Salvatore Sorce:
A pilot study on gaze and mouse data for user identification. ETRA 2024: 31:1-31:3 - [c24]Nicole Dalia Cilia, Giovanni Fanara, Vincenzo Conti:
Feature Selection Voting Strategies and Hyperparameter Tuning in a Boosting Classification. ICPR (2) 2024: 123-142 - 2023
- [j11]Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Comparing filter and wrapper approaches for feature selection in handwritten character recognition. Pattern Recognit. Lett. 168: 39-46 (2023) - [c23]Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Mario Molinara, Alessandra Scotto di Freca:
A Novel Writer Identification Approach for Greek Papyri Images. ICIAP Workshops (2) 2023: 422-436 - [i1]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Sabato Marco Siniscalchi:
How word semantics and phonology affect handwriting of Alzheimer's patients: a machine learning based analysis. CoRR abs/2307.04762 (2023) - 2022
- [j10]Nicole Dalia Cilia, Giuseppe De Gregorio, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale:
Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking. Eng. Appl. Artif. Intell. 111: 104822 (2022) - [j9]Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella:
Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer's disease prediction. Mach. Vis. Appl. 33(3): 49 (2022) - [c22]Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi:
Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. EvoApplications 2022: 517-530 - [c21]Nicole Dalia Cilia, Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel A. Ferrer, Francesco Fontanella:
Lognormal Features for Early Diagnosis of Alzheimer's Disease Through Handwriting Analysis. IGS 2022: 322-335 - [c20]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:
Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study. ICIAP (1) 2022: 137-147 - [c19]Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone:
Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning. ICPR Workshops (1) 2022: 632-643 - [c18]Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella:
Offline handwriting image analysis to predict Alzheimer's disease via deep learning. ICPR 2022: 2807-2813 - 2021
- [j8]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis. IEEE Access 9: 78226-78240 (2021) - [j7]Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Mario Molinara:
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. IEEE J. Biomed. Health Informatics 25(12): 4243-4254 (2021) - [c17]Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments. WIVACE 2021: 139-150 - 2020
- [j6]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca:
An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. J. Imaging 6(9): 89 (2020) - [j5]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca:
An end-to-end deep learning system for medieval writer identification. Pattern Recognit. Lett. 129: 137-143 (2020) - [j4]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca:
What is the minimum training data size to reliably identify writers in medieval manuscripts? Pattern Recognit. Lett. 129: 198-204 (2020) - [c16]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Using Genetic Algorithms for the Prediction of Cognitive Impairments. EvoApplications 2020: 479-493 - [c15]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella:
Novel Mutation Operators of a Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data. ICIC (1) 2020: 53-63 - [c14]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Alessandra Scotto di Freca:
PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification. ICPR Workshops (7) 2020: 223-234 - [c13]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Handwriting-Based Classifier Combination for Cognitive Impairment Prediction. ICPR Workshops (1) 2020: 587-599 - [c12]Nicole Dalia Cilia, Claudio De Stefano, Claudio Marrocco, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca:
Deep Transfer Learning for Alzheimer's disease detection. ICPR 2020: 9904-9911
2010 – 2019
- 2019
- [j3]Noemi Scarpato, Nicole Dalia Cilia, Marco Romano:
Reachability Matrix Ontology: A Cybersecurity Ontology. Appl. Artif. Intell. 33(7): 643-655 (2019) - [j2]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Stefano Raimondo, Alessandra Scotto di Freca:
An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets. Inf. 10(3): 109 (2019) - [j1]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
A ranking-based feature selection approach for handwritten character recognition. Pattern Recognit. Lett. 121: 77-86 (2019) - [c11]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca:
Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study. CAIP (2) 2019: 143-151 - [c10]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca:
A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books. CAIP (2) 2019: 305-316 - [c9]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data. EvoApplications 2019: 325-340 - [c8]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca:
A Page-Based Reject Option for Writer Identification in Medieval Books. ICIAP Workshops 2019: 187-197 - [c7]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca:
Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts. ICIAP Workshops 2019: 198-208 - [c6]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca:
Using Handwriting Features to Characterize Cognitive Impairment. ICIAP (2) 2019: 683-693 - [c5]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: A Preliminary Study. WIVACE 2019: 113-123 - 2018
- [c4]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach. CIARP 2018: 902-910 - [c3]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis. EUSPN/ICTH 2018: 466-471 - [c2]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data. EvoApplications 2018: 439-454 - 2015
- [c1]Nicole Dalia Cilia, Noemi Scarpato, Marco Romano:
A Semantic Approach to Reachability Matrix Computation. STIDS 2015: 91-94
Coauthor Index
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