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ORCIDTiziana D'Alessandro
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Journal Articles
- 2023
[j3]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)- 2022
- [j2]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) - 2021
- [j1]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)
Conference and Workshop Papers
- 2024
- [c13]Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone:
Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study. EvoApplications@EvoStar 2024: 397-412 - [c12]Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Cesare Davide Pace:
From Handwriting Analysis to Alzheimer's Disease Prediction: An Experimental Comparison of Classifier Combination Methods. ICDAR (2) 2024: 334-351 - [c11]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, Alessandra Scotto di Freca:
UniCas for Medicine and Healthcare. Ital-IA 2024: 330-335 - 2023
- [c10]Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel Ángel Ferrer, Francesco Fontanella:
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting Through Lognormal Features. IGS 2023: 103-121 - [c9]Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca:
Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network. IGS 2023: 122-135 - [c8]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 - [c7]Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca:
A Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. WIVACE 2023: 309-323 - 2022
- [c6]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 - [c5]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 - [c4]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 - [c3]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 - [c2]Alessandro Bria, Paolo De Ciccio, Tiziana D'Alessandro, Francesco Fontanella:
A Novel Evolutionary Approach for Neural Architecture Search. WIVACE 2022: 195-204 - 2021
- [c1]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
Informal and Other Publications
- 2024
- [i1]Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel A. Ferrer, Francesco Fontanella:
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting through Lognormal Features. CoRR abs/2405.16959 (2024)
Coauthor Index
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