Publications by authors named "Loris Nanni"

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Matrix-based vector representations in neural networks for classifying molecular biology data.
Loris Nanni, Sheryl Brahnam, Daniel Fusaro

Bioinform Adv· December 2025

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Bioimage Classification with Handcrafted and Learned Features.
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Alessandra Lumini

IEEE/ACM Trans Comput Biol Bioinform· July 2025

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Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera Data.
Loris Nanni, Sheryl Brahnam, Matteo Ruta, Daniele Fabris, Martina Boscolo Bacheto

Sensors (Basel)· April 2025

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Advancing Precision: A Comprehensive Review of MRI Segmentation Datasets from BraTS Challenges (2012-2025).
Beatrice Bonato, Loris Nanni, Alessandra Bertoldo

Sensors (Basel)· March 2025

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Improving Existing Segmentators Performance with Zero-Shot Segmentators.
Loris Nanni, Daniel Fusaro, Carlo Fantozzi, Alberto Pretto

Entropy (Basel)· October 2023

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Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation.
Loris Nanni, Carlo Fantozzi, Andrea Loreggia, Alessandra Lumini

Sensors (Basel)· May 2023

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A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies.
Loris Nanni, Andrea Loreggia, Alessandra Lumini, Alberto Dorizza

J Imaging· February 2023

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Comparison of Different Convolutional Neural Network Activation Functions and Methods for Building Ensembles for Small to Midsize Medical Data Sets.
Loris Nanni, Sheryl Brahnam, Michelangelo Paci, Stefano Ghidoni

Sensors (Basel)· August 2022

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Convolutional Neural Networks for the Identification of African Lions from Individual Vocalizations.
Martino Trapanotto, Loris Nanni, Sheryl Brahnam, Xiang Guo

J Imaging· April 2022

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A critic evaluation of methods for COVID-19 automatic detection from X-ray images.
Gianluca Maguolo, Loris Nanni

Inf Fusion· December 2021

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Comparison of Different Image Data Augmentation Approaches.
Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini

J Imaging· November 2021

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Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images.
Lucas O Teixeira, Rodolfo M Pereira, Diego Bertolini, Luiz S Oliveira, Loris Nanni

Sensors (Basel)· October 2021

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Deep Features for Training Support Vector Machines.
Loris Nanni, Stefano Ghidoni, Sheryl Brahnam

J Imaging· September 2021

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Closing the Performance Gap between Siamese Networks for Dissimilarity Image Classification and Convolutional Neural Networks.
Loris Nanni, Giovanni Minchio, Sheryl Brahnam, Davide Sarraggiotto, Alessandra Lumini

Sensors (Basel)· August 2021

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Postprocessing for Skin Detection.
Diego Baldissera, Loris Nanni, Sheryl Brahnam, Alessandra Lumini

J Imaging· June 2021

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Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks.
Loris Nanni, Giovanni Minchio, Sheryl Brahnam, Gianluca Maguolo, Alessandra Lumini

Sensors (Basel)· February 2021

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Deep Learning and Handcrafted Features for Virus Image Classification.
Loris Nanni, Eugenio De Luca, Marco Ludovico Facin, Gianluca Maguolo

J Imaging· December 2020

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Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease.
Loris Nanni, Matteo Interlenghi, Sheryl Brahnam, Christian Salvatore, Sergio Papa

Front Neurol· November 2020

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Stochastic Selection of Activation Layers for Convolutional Neural Networks.
Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo

Sensors (Basel)· March 2020

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Convolutional Neural Networks for ATC Classification.
Alessandra Lumini, Loris Nanni

Curr Pharm Des· December 2019

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Face Detection Ensemble with Methods Using Depth Information to Filter False Positives.
Loris Nanni, Sheryl Brahnam, Alessandra Lumini

Sensors (Basel)· November 2019

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Set of approaches based on 3D structure and position specific-scoring matrix for predicting DNA-binding proteins.
Loris Nanni, Sheryl Brahnam

Bioinformatics· June 2019

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Texture descriptors and voxels for the early diagnosis of Alzheimer's disease.
Loris Nanni, Sheryl Brahnam, Christian Salvatore, Isabella Castiglioni,

Artif Intell Med· June 2019

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Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment.
Loris Nanni, Alessandra Lumini, Nicolò Zaffonato

J Neurosci Methods· May 2018

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Multi-label classifier based on histogram of gradients for predicting the anatomical therapeutic chemical class/classes of a given compound.
Loris Nanni, Sheryl Brahnam

Bioinformatics· September 2017

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