Loris Nanni

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 82

Top Venues

Publications

Loris Nanni, Sheryl Brahnam, Andrea Loreggia
An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images. IEEE Access 12 (2024)
Riccardo Bravin, Loris Nanni, Andrea Loreggia, Sheryl Brahnam, Michelangelo Paci
Varied Image Data Augmentation Methods for Building Ensemble. IEEE Access 11 (2023)
Loris Nanni, Andrea Loreggia, Alessandra Lumini, Alberto Dorizza
A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies. J. Imaging 9 (2) (2023)
Matheus H. C. Sudul, Rafael de Lima Aguiar, Yandre M. G. Costa, Sheryl Brahnam, Shannon McMurtrey, Loris Nanni, Carlos N. Silla
Automatic Classification of Infant's Cry Using Data Balancing and Hierarchical Classification Techniques. IWSSIP (2023)
Loris Nanni, Andrea Loreggia, Leonardo Barcellona, Stefano Ghidoni
Building Ensemble of Deep Networks: Convolutional Networks and Transformers. IEEE Access 11 (2023)
Loris Nanni, Daniel Fusaro, Carlo Fantozzi, Alberto Pretto
Improving Existing Segmentators Performance with Zero-Shot Segmentators. Entropy 25 (11) (2023)
Gustavo Zanoni Felipe, Lucas O. Teixeira, Rodolfo Miranda Pereira, Jacqueline Nelisis Zanoni, Sara R. G. Souza, Loris Nanni, George D. C. Cavalcanti, Yandre M. G. Costa
Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features. Neural Process. Lett. 55 (5) (2023)
Loris Nanni, Carlo Fantozzi, Andrea Loreggia, Alessandra Lumini
Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation. Sensors 23 (10) (2023)
Loris Nanni, Alessandra Lumini, Carlo Fantozzi
Exploring the Potential of Ensembles of Deep Learning Networks for Image Segmentation. Inf. 14 (12) (2023)
Mattia D'Angelo, Loris Nanni
Deep-Learning-Based Human Chromosome Classification: Data Augmentation and Ensemble. Inf. 14 (7) (2023)
Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini
Feature transforms for image data augmentation. Neural Comput. Appl. 34 (24) (2022)
Loris Nanni, Alessandro Manfe, Gianluca Maguolo, Alessandra Lumini, Sheryl Brahnam
High performing ensemble of convolutional neural networks for insect pest image detection. Ecol. Informatics 67 (2022)
Zahra Pourkaramdel, Shervan Fekri Ershad, Loris Nanni
Fabric defect detection based on completed local quartet patterns and majority decision algorithm. Expert Syst. Appl. 198 (2022)
Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini
Feature transforms for image data augmentation. CoRR (2022)
Daniela Cuza, Andrea Loreggia, Alessandra Lumini, Loris Nanni
Deep Semantic Segmentation in Skin Detection. ESANN (2022)
Loris Nanni, Sheryl Brahnam, Michelangelo Paci, Stefano Ghidoni
Comparison of Different Convolutional Neural Network Activation Functions and Methods for Building Ensembles for Small to Midsize Medical Data Sets. Sensors 22 (16) (2022)
Martino Trapanotto, Loris Nanni, Sheryl Brahnam, Xiang Guo
Convolutional Neural Networks for the Identification of African Lions from Individual Vocalizations. J. Imaging 8 (4) (2022)
Loris Nanni, Giovanni Minchio, Sheryl Brahnam, Davide Sarraggiotto, Alessandra Lumini
Closing the Performance Gap between Siamese Networks for Dissimilarity Image Classification and Convolutional Neural Networks. Sensors 21 (17) (2021)
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
Neural networks for Anatomical Therapeutic Chemical (ATC). CoRR (2021)
Loris Nanni, Stefano Ghidoni, Sheryl Brahnam
Deep Features for training Support Vector Machine. CoRR (2021)
Loris Nanni, Daniela Cuza, Alessandra Lumini, Andrea Loreggia, Sheryl Brahnam
Deep ensembles in bioimage segmentation. CoRR (2021)
Lucas O. Teixeira, Rodolfo Miranda Pereira, Diego Bertolini, Luiz S. Oliveira, Loris Nanni, George D. C. Cavalcanti, Yandre M. G. Costa
Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images. Sensors 21 (21) (2021)
Loris Nanni, Gianluca Maguolo, Alessandra Lumini
Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks. CoRR (2021)
Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci
Comparison of different convolutional neural network activation functions and methods for building ensembles. CoRR (2021)
Gianluca Maguolo, Loris Nanni, Stefano Ghidoni
Ensemble of convolutional neural networks trained with different activation functions. Expert Syst. Appl. 166 (2021)
Loris Nanni, Alessandro Manfe, Gianluca Maguolo, Alessandra Lumini, Sheryl Brahnam
High performing ensemble of convolutional neural networks for insect pest image detection. CoRR (2021)
Loris Nanni, Giovanni Minchio, Sheryl Brahnam, Gianluca Maguolo, Alessandra Lumini
Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks. Sensors 21 (5) (2021)
Diego Baldissera, Loris Nanni, Sheryl Brahnam, Alessandra Lumini
Postprocessing for Skin Detection. J. Imaging 7 (6) (2021)
Loris Nanni, Stefano Ghidoni, Sheryl Brahnam
Deep Features for Training Support Vector Machines. J. Imaging 7 (9) (2021)
Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini
Comparison of Different Image Data Augmentation Approaches. J. Imaging 7 (12) (2021)
Alessandra Lumini, Loris Nanni, Gianluca Maguolo
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation. CoRR (2021)
Gianluca Maguolo, Loris Nanni
A critic evaluation of methods for COVID-19 automatic detection from X-ray images. Inf. Fusion 76 (2021)
Loris Nanni, Alessandra Lumini, Alessandro Manfe, Sheryl Brahnam, Giorgio Venturin
Gated recurrent units and temporal convolutional network for multilabel classification. CoRR (2021)
Loris Nanni, Eugenio De Luca, Marco Ludovico Facin
Deep learning and hand-crafted features for virus image classification. CoRR (2020)
Loris Nanni, Alessandra Lumini, Federica Pasquali, Sheryl Brahnam
iProStruct2D: Identifying protein structural classes by deep learning via 2D representations. Expert Syst. Appl. 142 (2020)
Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo
Stochastic Selection of Activation Layers for Convolutional Neural Networks. Sensors 20 (6) (2020)
Gianluca Maguolo, Loris Nanni
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images. CoRR (2020)
Luca Patarnello, Marco Celin, Loris Nanni
Phasic dopamine release identification using ensemble of AlexNet. CoRR (2020)
Lorenzo Mantovan, Loris Nanni
The computerization of archaeology: survey on AI techniques. CoRR (2020)
Loris Nanni, Eugenio De Luca, Marco Ludovico Facin, Gianluca Maguolo
Deep Learning and Handcrafted Features for Virus Image Classification. J. Imaging 6 (12) (2020)
Loris Nanni, Sheryl Brahnam, Gianluca Maguolo
Anatomical Therapeutic Chemical Classification (ATC) With Multi-Label Learners and Deep Features. Int. J. Nat. Comput. Res. 9 (3) (2020)
Loris Nanni, Yandre M. G. Costa, Rafael de Lima Aguiar, Rafael B. Mangolin, Sheryl Brahnam, Carlos N. Silla
Ensemble of convolutional neural networks to improve animal audio classification. EURASIP J. Audio Speech Music. Process. 2020 (1) (2020)
Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci
An Ensemble of Convolutional Neural Networks for Audio Classification. CoRR (2020)
Lorenzo Mantovan, Loris Nanni
The Computerization of Archaeology: Survey on Artificial Intelligence Techniques. SN Comput. Sci. 1 (5) (2020)
Loris Nanni, Gianluca Maguolo, Michelangelo Paci
Data augmentation approaches for improving animal audio classification. Ecol. Informatics 57 (2020)
Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare. CoRR (2020)
Loris Nanni, Gianluca Maguolo, Fabio Pancino
Insect pest image detection and recognition based on bio-inspired methods. Ecol. Informatics 57 (2020)
Lucas O. Teixeira, Rodolfo Miranda Pereira, Diego Bertolini, Luiz S. Oliveira, Loris Nanni, Yandre M. G. Costa
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images. CoRR (2020)
Alessandra Lumini, Loris Nanni
Fair comparison of skin detection approaches on publicly available datasets. Expert Syst. Appl. 160 (2020)
Alessandra Lumini, Loris Nanni
Deep learning and transfer learning features for plankton classification. Ecol. Informatics 51 (2019)
Loris Nanni, Gianluca Maguolo, Fabio Pancino
Research on insect pest image detection and recognition based on bio-inspired methods. CoRR (2019)
Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan
Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation. CoRR (2019)
Loris Nanni, Sheryl Brahnam, Christian Salvatore, Isabella Castiglioni, Alzheimer's Disease Neuroimaging Initiative
Texture descriptors and voxels for the early diagnosis of Alzheimer's disease. Artif. Intell. Medicine 97 (2019)
Alessandra Lumini, Loris Nanni, Alice Codogno, Filippo Berno
Learning morphological operators for skin detection. CoRR (2019)
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Alessandra Lumini
Bioimage Classification with Handcrafted and Learned Features. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Gianluca Maguolo, Loris Nanni, Stefano Ghidoni
Ensemble of Convolutional Neural Networks Trained with Different Activation Functions. CoRR (2019)
Loris Nanni, Alessandra Lumini, Federica Pasquali, Sheryl Brahnam
iProStruct2D: Identifying protein structural classes by deep learning via 2D representations. CoRR (2019)
Gustavo Zanoni Felipe, Rafael de Lima Aguiar, Yandre M. G. Costa, Carlos N. Silla, Sheryl Brahnam, Loris Nanni, Shannon McMurtrey
Identification of Infants' Cry Motivation Using Spectrograms. IWSSIP (2019)
Alessandra Lumini, Loris Nanni, Gianluca Maguolo
Deep learning for Plankton and Coral Classification. CoRR (2019)
Loris Nanni, Sheryl Brahnam, Alessandra Lumini
Face Detection Ensemble with Methods Using Depth Information to Filter False Positives. Sensors 19 (23) (2019)
Loris Nanni, Gianluca Maguolo, Michelangelo Paci
Data augmentation approaches for improving animal audio classification. CoRR (2019)
Loris Nanni, Sheryl Brahnam
Set of approaches based on 3D structure and position specific-scoring matrix for predicting DNA-binding proteins. Bioinform. 35 (11) (2019)
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Gianluca Maguolo
General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation. CoRR (2019)
Loris Nanni, Sheryl Brahnam, Alessandra Lumini
Texture descriptors for representing feature vectors. Expert Syst. Appl. 122 (2019)
Loris Nanni, Alessandra Lumini, Stefano Ghidoni
Ensemble of Deep Learned Features for Melanoma Classification. CoRR (2018)
Alessandra Lumini, Loris Nanni
Fair comparison of skin detection approaches on publicly available datasets. CoRR (2018)
Loris Nanni, Rafael de Lima Aguiar, Yandre M. G. Costa, Sheryl Brahnam, Carlos Nascimento Silla Jr., Ricky L. Brattin, Zhao Zhao
Bird and whale species identification using sound images. IET Comput. Vis. 12 (2) (2018)
Loris Nanni, Yandre M. G. Costa, Diego Rafael Lucio, Carlos Nascimento Silla Jr., Sheryl Brahnam
Combining visual and acoustic features for audio classification tasks. Pattern Recognit. Lett. 88 (2017)
Loris Nanni, Stefano Ghidoni
How could a subcellular image, or a painting by Van Gogh, be similar to a great white shark or to a pizza? Pattern Recognit. Lett. 85 (2017)
Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Stefano Ghidoni
An ensemble of visual features for Gaussians of local descriptors and non-binary coding for texture descriptors. Expert Syst. Appl. 82 (2017)
Loris Nanni, Stefano Ghidoni, Sheryl Brahnam
Handcrafted vs. non-handcrafted features for computer vision classification. Pattern Recognit. 71 (2017)
Loris Nanni, Sheryl Brahnam
Multi-label classifier based on histogram of gradients for predicting the anatomical therapeutic chemical class/classes of a given compound. Bioinform. 33 (18) (2017)
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
Ensemble of texture descriptors for face recognition obtained by varying feature transforms and preprocessing approaches. Appl. Soft Comput. 61 (2017)
Alessandra Lumini, Loris Nanni
Overview of the combination of biometric matchers. Inf. Fusion 33 (2017)
Loris Nanni, Yandre M. G. Costa, Alessandra Lumini, Moo Young Kim, SeungRyul Baek
Combining visual and acoustic features for music genre classification. Expert Syst. Appl. 45 (2016)
Loris Nanni, Alessandra Lumini, Florentino Luciano Caetano dos Santos, Michelangelo Paci, Jari A. K. Hyttinen
Ensembles of dense and dense sampling descriptors for the HEp-2 cells classification problem. Pattern Recognit. Lett. 82 (2016)
Loris Nanni, Yandre M. G. Costa, Diego Rafael Lucio, Carlos Nascimento Silla Jr., Sheryl Brahnam
Combining Visual and Acoustic Features for Bird Species Classification. ICTAI (2016)
Rafael de Lima Aguiar, Yandre Maldonado e Gomes da Costa, Loris Nanni
Music genre recognition using spectrograms with harmonic-percussive sound separation. SCCC (2016)
Loris Nanni, Massimo Melucci
Combination of projectors, standard texture descriptors and bag of features for classifying images. Neurocomputing 173 (2016)
Alessandra Lumini, Loris Nanni, Sheryl Brahnam
Multilayer descriptors for medical image classification. Comput. Biol. Medicine 72 (2016)
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
Weighted Reward-Punishment Editing. Pattern Recognit. Lett. 75 (2016)
Loris Nanni, Christian Salvatore, Antonio Cerasa, Isabella Castiglioni
Combining multiple approaches for the early diagnosis of Alzheimer's Disease. Pattern Recognit. Lett. 84 (2016)
Sheryl Brahnam, Jenifer J. Roberts, Loris Nanni, Cathy L. Starr, Sandra L. Bailey
Design of a Bullying Detection/Alert System for School-Wide Intervention. HCI (2) (2015)
Loris Nanni, Carlo Fantozzi, Nicola Lazzarini
Coupling different methods for overcoming the class imbalance problem. Neurocomputing 158 (2015)
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Alessandra Lumini
Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification. Comput. Intell. Neurosci. 2015 (2015)
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Emanuele Menegatti
Improving the descriptors extracted from the co-occurrence matrix using preprocessing approaches. Expert Syst. Appl. 42 (22) (2015)
Loris Nanni, Alessandra Lumini, Matteo Ferrara, Raffaele Cappelli
Combining biometric matchers by means of machine learning and statistical approaches. Neurocomputing 149 (2015)
Nicola Lazzarini, Loris Nanni, Carlo Fantozzi, Andrea Pietracaprina, Geppino Pucci, Teresa Maria Seccia, Gian Paolo Rossi
Heterogeneous machine learning system for improving the diagnosis of primary aldosteronism. Pattern Recognit. Lett. 65 (2015)
Loris Nanni, Michelangelo Paci, Florentino Luciano Caetano dos Santos, Jari A. K. Hyttinen
Morphological and Texture Features for HEp-2 Cells Classification. I3A@ICPR (2014)
Loris Nanni, Michelangelo Paci, Florentino Luciano Caetano dos Santos, Sheryl Brahnam, Jari A. K. Hyttinen
Analysis of Virus Textures in Transmission Electron Microscopy Images. InMed (2014)
Stefano Ghidoni, Loris Nanni, Sheryl Brahnam, Emanuele Menegatti
Texture Descriptors Based on Dijkstra's Algorithm for Medical Image Analysis. InMed (2014)
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
Ensemble of shape descriptors for shape retrieval and classification. Int. J. Adv. Intell. Paradigms 6 (2) (2014)
Loris Nanni, Michelangelo Paci, Sheryl Brahnam
Indirect immunofluorescence image classification using texture descriptors. Expert Syst. Appl. 41 (5) (2014)
Stefano Ghidoni, Mauro Antonello, Loris Nanni, Emanuele Menegatti
A Knowledge-Based Approach to Crack Detection in Thermographic Images. IAS (2014)
Loris Nanni, Alessandra Lumini
Heterogeneous bag-of-features for object/scene recognition. Appl. Soft Comput. 13 (4) (2013)
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Emanuele Menegatti, Tonya Barrier
A comparison of methods for extracting information from the co-occurrence matrix for subcellular classification. Expert Syst. Appl. 40 (18) (2013)
Loris Nanni, Sheryl Brahnam, Alessandra Lumini
Random interest regions for object recognition based on texture descriptors and bag of features. Expert Syst. Appl. 39 (1) (2012)
Loris Nanni, Sheryl Brahnam, Alessandra Lumini
Combining multiple approaches for gene microarray classification. Bioinform. 28 (8) (2012)
Loris Nanni, Sheryl Brahnam, Alessandra Lumini
A simple method for improving local binary patterns by considering non-uniform patterns. Pattern Recognit. 45 (10) (2012)
Loris Nanni, Alessandra Lumini, Dinesh Gupta, Aarti Garg
Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou's Pseudo Amino Acid Composition and on Evolutionary Information. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (2) (2012)

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Publication Activity (10 Years)

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Loris Nanni