Tiziana D'Alessandro

31 papers B 1Journal 10Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Character Detection using YOLO for Writer Identification in multiple Medieval books.
CoRR
Alessandra Scotto di Freca, Tiziana D'Alessandro, Francesco Fontanella, Filippo Sarria, Claudio De Stefano
2025 J jnl
A Bayesian network combiner for multimodal handwriting analysis in Alzheimer's disease detection.
Pattern Recognit. Lett.
Emanuele Nardone, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2025 J jnl
A Deep Transfer Learning Approach for Writer Identification in Greek Papyri.
ACM Journal on Computing and Cultural Heritage
Tiziana D'Alessandro, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca, Isabelle Marthot-Santaniello
2025 — conf
AI for environmental, energy, and IoT applications: UniCas industrial research highlights.
Ital-IA
Mario Molinara, Alessandro Bria, Domenico Capriglione, Tiziana D'Alessandro, Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Fabrizio Marignetti, Claudio Marrocco, Alessio Miele, Filippo Milano, Hamza Mustafa, Vincenzo Rega, Alessandra Scotto di Freca, Luca Cicala, Sara Parrilli, Mariano Focareta, Giuseppe Meoli, Michele Vitelli, Carmine Bourelly, Andrea Amodei
2025 — conf
Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study.
EvoApplications (2)
Emanuele Nardone, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2025 J jnl
How Data Augmentation Affects Evolutionary Algorithms in Feature Selection: An Experimental Study.
SN Comput. Sci.
Emanuele Nardone, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2025 J jnl
Resting-state functional MRI metrics to detect freezing of gait in Parkinson's disease: a machine learning approach.
Comput. Biol. Medicine
Caterina Vicidomini, Francesco Fontanella, Tiziana D'Alessandro, Giovanni N. Roviello, Claudio De Stefano, Fabrizio Stocchi, Mario Quarantelli, Maria Francesca De Pandis
2025 — conf
Scale-Aware Fractal-Lacunarity Analysis of Handwriting for Alzheimer's Disease Classification.
ICIAP (Workshops 2)
Emanuele Nardone, Marco Cantone, Gabriele Lozupone, Cesare Davide Pace, Ciro Russo, Tiziana D'Alessandro
2025 — conf
The Impact of Template Matching Threshold on Scribe Identification in Medieval Books.
ICIAP (Workshops 2)
Alessandra Scotto di Freca, Tiziana D'Alessandro, Francesco Fontanella, Emanuele Nardone, Olga Pustovalova, Claudio De Stefano
2025 — conf
UniCas research initiatives in medicine and healthcare.
Ital-IA
Gabriele Lozupone, Marco Cantone, 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
2025 J jnl
When Deep Learning Fails: Limitations of Recurrent Models on Stroke-Based Handwriting for Alzheimer's Disease Detection.
CoRR
Emanuele Nardone, Tiziana D'Alessandro, Francesco Fontanella, Claudio De Stefano
2024 J jnl
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting through Lognormal Features.
CoRR
Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel A. Ferrer, Francesco Fontanella
2024 — conf
Advancements and Challenges in Artificial Intelligence for Lewy Body Disease Research: A Brief Survey.
ICPR (Workshops and Challenges, 2)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Olga Pustovalova
2024 — conf
From Handwriting Analysis to Alzheimer's Disease Prediction: An Experimental Comparison of Classifier Combination Methods.
ICDAR (2)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Cesare Davide Pace
2024 — conf
Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study.
EvoApplications@EvoStar
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone
2024 — conf
Transformers and CNNs in Neurodiagnostics: Handwriting Analysis for Alzheimer's Diagnosis.
ICPR (11)
Gabriele Lozupone, Emanuele Nardone, Cesare Davide Pace, Tiziana D'Alessandro
2024 — conf
UniCas for Medicine and Healthcare.
Ital-IA
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
2024 — conf
Writer Identification in Multiple Medieval Books: A Preliminary Study.
ICPR (17)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2023 — conf
A Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
WIVACE
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca
2023 — conf
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting Through Lognormal Features.
IGS
Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel Ángel Ferrer, Francesco Fontanella
2023 — conf
A Novel Writer Identification Approach for Greek Papyri Images.
ICIAP Workshops (2)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Mario Molinara, Alessandra Scotto di Freca
2023 J jnl
Comparing filter and wrapper approaches for feature selection in handwritten character recognition.
Pattern Recognit. Lett.
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2023 — conf
Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network.
IGS
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca
2022 — conf
A Novel Evolutionary Approach for Neural Architecture Search.
WIVACE
Alessandro Bria, Paolo De Ciccio, Tiziana D'Alessandro, Francesco Fontanella
2022 J jnl
Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer's disease prediction.
Mach. Vis. Appl.
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2022 — conf
Lognormal Features for Early Diagnosis of Alzheimer's Disease Through Handwriting Analysis.
IGS
Nicole Dalia Cilia, Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel A. Ferrer, Francesco Fontanella
2022 — conf
Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study.
ICIAP (1)
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
2022 B conf
Offline handwriting image analysis to predict Alzheimer's disease via deep learning.
ICPR
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2022 — conf
Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning.
ICPR Workshops (1)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone
2021 J jnl
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
IEEE J. Biomed. Health Informatics
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Mario Molinara
2021 — conf
Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments.
WIVACE
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca