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Gian Luca Foresti

Showing results (1-10 of 39) with videos related to

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International Journal of Neural Systems|February 24, 2021
Editorial: From Pioneering Artificial Neural Networks to Deep Learning and BeyondGian Luca Foresti
Neural Networks : the Official Journal of the International Neural Network Society|July 11, 2006
Growing hierarchical tree SOM: an unsupervised neural network with dynamic topologyAlberto Forti, Gian Luca Foresti
International Journal of Neural Systems|December 31, 2022
A Sentiment Analysis Anomaly Detection System for Cyber IntelligenceRoberta Maisano, Gian Luca Foresti
International Journal of Neural Systems|November 15, 2021
A Continuous Learning Approach for Real-Time Network Intrusion DetectionMarcello Rinaldo Martina, Gian Luca Foresti
International Journal of Neural Systems|September 17, 2020
A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic RoutingPankaj Mishra, Claudio Piciarelli, Gian Luca Foresti
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 10, 2015
Kernelized Saliency-Based Person Re-Identification Through Multiple Metric LearningNiki Martinel, Christian Micheloni, Gian Luca Foresti
IEEE Transactions on Cybernetics|June 2, 2016
Person Reidentification in a Distributed Camera Network FrameworkNiki Martinel, Gian Luca Foresti, Christian Micheloni
Neural Networks : the Official Journal of the International Neural Network Society|November 11, 2011
A balanced neural tree for pattern classificationChristian Micheloni, Asha Rani, Sanjeev Kumar, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 22, 2020
Adaptive neural tree exploiting expert nodes to classify high-dimensional dataShadi Abpeikar, Mehdi Ghatee, Gian Luca Foresti, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 5, 2022
SIRe-Networks: Convolutional neural networks architectural extension for information preservation via skip/residual connections and interlaced auto-encodersDanilo Avola, Luigi Cinque, Alessio Fagioli, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
International Journal of Neural Systems|February 24, 2021
Editorial: From Pioneering Artificial Neural Networks to Deep Learning and BeyondGian Luca Foresti
Neural Networks : the Official Journal of the International Neural Network Society|July 11, 2006
Growing hierarchical tree SOM: an unsupervised neural network with dynamic topologyAlberto Forti, Gian Luca Foresti
International Journal of Neural Systems|December 31, 2022
A Sentiment Analysis Anomaly Detection System for Cyber IntelligenceRoberta Maisano, Gian Luca Foresti
International Journal of Neural Systems|November 15, 2021
A Continuous Learning Approach for Real-Time Network Intrusion DetectionMarcello Rinaldo Martina, Gian Luca Foresti
International Journal of Neural Systems|September 17, 2020
A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic RoutingPankaj Mishra, Claudio Piciarelli, Gian Luca Foresti
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 10, 2015
Kernelized Saliency-Based Person Re-Identification Through Multiple Metric LearningNiki Martinel, Christian Micheloni, Gian Luca Foresti
IEEE Transactions on Cybernetics|June 2, 2016
Person Reidentification in a Distributed Camera Network FrameworkNiki Martinel, Gian Luca Foresti, Christian Micheloni
Neural Networks : the Official Journal of the International Neural Network Society|November 11, 2011
A balanced neural tree for pattern classificationChristian Micheloni, Asha Rani, Sanjeev Kumar, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 22, 2020
Adaptive neural tree exploiting expert nodes to classify high-dimensional dataShadi Abpeikar, Mehdi Ghatee, Gian Luca Foresti, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 5, 2022
SIRe-Networks: Convolutional neural networks architectural extension for information preservation via skip/residual connections and interlaced auto-encodersDanilo Avola, Luigi Cinque, Alessio Fagioli, et al.
Pageof 4