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Neural Networks : the Official Journal of the International Neural Network Society|March 20, 2024
Modeling failures in smart grids by a bilinear logistic regression approachEnrico De Santis, Antonello Rizzi
IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 EventEnrico De Santis, Alessio Martino, Antonello Rizzi
Peerj. Computer Science|October 20, 2022
On component-wise dissimilarity measures and metric properties in pattern recognitionEnrico De Santis, Alessio Martino, Antonello Rizzi
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 24, 2024
Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems TheoryEnrico De Santis, Alessio Martino, Antonello Rizzi
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 7, 2023
Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient LanguagesEnrico De Santis, Giovanni De Santis, Antonello Rizzi
Entropy (Basel, Switzerland)|December 8, 2020
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity RepresentationsAlessio Martino, Enrico De Santis, Alessandro Giuliani, et al.
Entropy (Basel, Switzerland)|December 8, 2020
(Hyper)graph Kernels over Simplicial ComplexesAlessio Martino, Antonello Rizzi
Sensors (Basel, Switzerland)|November 11, 2022
Deep Learning Hybrid Techniques for Brain Tumor SegmentationKhushboo Munir, Fabrizio Frezza, Antonello Rizzi
Cancers|August 28, 2019
Cancer Diagnosis Using Deep Learning: A Bibliographic ReviewKhushboo Munir, Hassan Elahi, Afsheen Ayub, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 26, 2019
A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical CellsMassimiliano Luzi, Fabio Massimo Frattale Mascioli, Maurizio Paschero, et al.
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