Alessandra Scotto di Freca

Orcid: 0000-0002-9642-3555

According to our database1, Alessandra Scotto di Freca authored at least 56 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm.
Vis. Comput. Ind. Biomed. Art, December, 2024



Writer Identification in Multiple Medieval Books: A Preliminary Study.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Comparing filter and wrapper approaches for feature selection in handwritten character recognition.
Pattern Recognit. Lett., April, 2023

A Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
Proceedings of the Artificial Life and Evolutionary Computation, 2023

A Novel Writer Identification Approach for Greek Papyri Images.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network.
Proceedings of the Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition, 2023

2022
A novel binary classification approach based on geometric semantic genetic programming.
Swarm Evol. Comput., 2022

2021
Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis.
IEEE Access, 2021

Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments.
Proceedings of the Artificial Life and Evolutionary Computation - 15th Italian Workshop, 2021

2020
A novel PCA-based approach for building on-board sensor classifiers for water contaminant detection.
Pattern Recognit. Lett., 2020

Pattern recognition and artificial intelligence techniques for cultural heritage.
Pattern Recognit. Lett., 2020

An end-to-end deep learning system for medieval writer identification.
Pattern Recognit. Lett., 2020

What is the minimum training data size to reliably identify writers in medieval manuscripts?
Pattern Recognit. Lett., 2020

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents.
J. Imaging, 2020

Deep Transfer Learning for Alzheimer's disease detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Handwriting-Based Classifier Combination for Cognitive Impairment Prediction.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Using Genetic Algorithms for the Prediction of Cognitive Impairments.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019
Handwriting analysis to support neurodegenerative diseases diagnosis: A review.
Pattern Recognit. Lett., 2019

A ranking-based feature selection approach for handwritten character recognition.
Pattern Recognit. Lett., 2019

An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets.
Inf., 2019

How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: A Preliminary Study.
Proceedings of the Artificial Life and Evolutionary Computation - 14th Italian Workshop, 2019

A Page-Based Reject Option for Writer Identification in Medieval Books.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Using Handwriting Features to Characterize Cognitive Impairment.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data.
Proceedings of the Applications of Evolutionary Computation, 2019

A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books.
Proceedings of the Computer Analysis of Images and Patterns, 2019

Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Reliable writer identification in medieval manuscripts through page layout features: The "Avila" Bible case.
Eng. Appl. Artif. Intell., 2018

Recovering Segmentation Errors in Handwriting Recognition Systems.
Proceedings of the Intelligent Computing Theories and Application, 2018

Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data.
Proceedings of the Applications of Evolutionary Computation, 2018

An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis.
Proceedings of the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, 2018

Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

A novel mutation operator for the evolutionary learning of Bayesian networks.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A Brief Overview on Handwriting Analysis for Neurodegenerative Disease Diagnosis.
Proceedings of the Workshop on Artificial Intelligence with Application in Health co-located with the 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2016
A Novel GA-based Feature Selection Approach for High Dimensional Data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2014
A GA-based feature selection approach with an application to handwritten character recognition.
Pattern Recognit. Lett., 2014

Using Bayesian networks for selecting classifiers in GP ensembles.
Inf. Sci., 2014

Random Forest for Reliable Pre-classification of Handwritten Characters.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Rejecting Both Segmentation and Classification Errors in Handwritten Form Processing.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

2013
A Weighted Majority Vote Strategy Using Bayesian Networks.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

2012
Pruning GP-Based Classifier Ensembles by Bayesian Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A Novel Naive Bayes Voting Strategy for Combining Classifiers.
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012

2011
A Bayesian Approach for Combining Ensembles of GP Classifiers.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

A Method for Scribe Distinction in Medieval Manuscripts Using Page Layout Features.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

2010
Combining Single Class Features for Improving Performance of a Two Stage Classifier.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Hybrid Evolutionary Algorithm for Bayesian Networks Learning: An Application to Classifier Combination.
Proceedings of the Applications of Evolutionary Computation, 2010

2009
Classifier Combination by Bayesian Networks for Handwriting Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2009

Learning Bayesian Networks by Evolution for Classifier Combination.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

2007
Incorporating a Wavelet Transform into a Saliency-Based Method for Online Handwriting Segmentation.
Int. J. Pattern Recognit. Artif. Intell., 2007

Using Bayesian Network for combining classifiers.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

2006
Improving Dynamic Learning Vector Quantization.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006


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