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Tiziana D'Alessandro
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2020 – today
- 2024
- [c11]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 - [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) - 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) - [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
- [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) - [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
- [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) - [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
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last updated on 2024-06-20 21:30 CEST by the dblp team
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