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Journal of Imaging
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September 26, 2021
Deep Features for Training Support Vector Machines
Loris Nanni, Stefano Ghidoni, Sheryl Brahnam
Sensors (Basel, Switzerland)
|
August 26, 2022
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, et al.
Computational Intelligence and Neuroscience
|
September 29, 2015
Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, et al.
Studies in Health Technology and Informatics
|
December 10, 2014
Texture Descriptors Based on Dijkstra's Algorithm for Medical Image Analysis
Stefano Ghidoni, Loris Nanni, Sheryl Brahnam, et al.
Sensors (Basel, Switzerland)
|
March 19, 2020
Stochastic Selection of Activation Layers for Convolutional Neural Networks
Loris Nanni, Alessandra Lumini, Stefano Ghidoni, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
July 12, 2018
Bioimage Classification with Handcrafted and Learned Features
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, et al.
Journal of Neural Engineering
|
June 2, 2020
Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network
Stefano Tortora, Stefano Ghidoni, Carmelo Chisari, et al.
Plos One
|
January 4, 2014
Different approaches for extracting information from the co-occurrence matrix
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, et al.
Journal of Pathology Informatics
|
January 15, 2024
SlideTiler: A dataset creator software for boosting deep learning on histological whole slide images
Leonardo Barcellona, Lorenzo Nicolè, Rocco Cappellesso, et al.
Frontiers in Robotics and AI
|
December 22, 2025
Real-time human progress estimation with online dynamic time warping for collaborative robotics
Davide De Lazzari, Matteo Terreran, Giulio Giacomuzzo, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Journal of Imaging
|
September 26, 2021
Deep Features for Training Support Vector Machines
Loris Nanni, Stefano Ghidoni, Sheryl Brahnam
Sensors (Basel, Switzerland)
|
August 26, 2022
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, et al.
Computational Intelligence and Neuroscience
|
September 29, 2015
Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, et al.
Studies in Health Technology and Informatics
|
December 10, 2014
Texture Descriptors Based on Dijkstra's Algorithm for Medical Image Analysis
Stefano Ghidoni, Loris Nanni, Sheryl Brahnam, et al.
Sensors (Basel, Switzerland)
|
March 19, 2020
Stochastic Selection of Activation Layers for Convolutional Neural Networks
Loris Nanni, Alessandra Lumini, Stefano Ghidoni, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
July 12, 2018
Bioimage Classification with Handcrafted and Learned Features
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, et al.
Journal of Neural Engineering
|
June 2, 2020
Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network
Stefano Tortora, Stefano Ghidoni, Carmelo Chisari, et al.
Plos One
|
January 4, 2014
Different approaches for extracting information from the co-occurrence matrix
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, et al.
Journal of Pathology Informatics
|
January 15, 2024
SlideTiler: A dataset creator software for boosting deep learning on histological whole slide images
Leonardo Barcellona, Lorenzo Nicolè, Rocco Cappellesso, et al.
Frontiers in Robotics and AI
|
December 22, 2025
Real-time human progress estimation with online dynamic time warping for collaborative robotics
Davide De Lazzari, Matteo Terreran, Giulio Giacomuzzo, et al.
Page
of 1