Tiziana D'Alessandro

According to our database, Tiziana D'Alessandro authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study.

Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 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 Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.

Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca

Proceedings of the Artificial Life and Evolutionary Computation, 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

Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network.

Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca

Proceedings of the Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition, 2023

A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting Through Lognormal Features.

Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel Ángel Ferrer, Francesco Fontanella

Proceedings of the Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition, 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

A Novel Evolutionary Approach for Neural Architecture Search.

Alessandro Bria, Paolo De Ciccio, Tiziana D'Alessandro, Francesco Fontanella

Proceedings of the Artificial Life and Evolutionary Computation - 16th Italian Workshop, 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

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

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