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Roberto Togneri

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A new approach for the detection of architectural distortions using textural analysis of surrounding tissueImad Zyout, Roberto Togneri
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Empirical mode decomposition of digital mammograms for the statistical based characterization of architectural distortionImad Zyout, Roberto Togneri
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 26, 2018
A computer-aided detection of the architectural distortion in digital mammograms using the fractal dimension measurements of BEMDImad Zyout, Roberto Togneri
IEEE Transactions on Cybernetics|April 2, 2014
Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden Markov model for signal modelingShamsul Huda, John Yearwood, Roberto Togneri
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|December 11, 2008
A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modelingShamsul Huda, John Yearwood, Roberto Togneri
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 7, 2010
Linear regression for face recognitionImran Naseem, Roberto Togneri, Mohammed Bennamoun
IEEE Transactions on Neural Networks and Learning Systems|November 9, 2021
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted FeaturesSaeedreza Shehnepoor, Roberto Togneri, Wei Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
RAFP-Pred: Robust Prediction of Antifreeze Proteins Using Localized Analysis of n-Peptide CompositionsShujaat Khan, Imran Naseem, Roberto Togneri, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 24, 2022
Spatio-Temporal Graph Representation Learning for Fraudster Group DetectionSaeedreza Shehnepoor, Roberto Togneri, Wei Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Automatic Shadow Detection and Removal from a Single ImageSalman H Khan, Mohammed Bennamoun, Ferdous Sohel, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A new approach for the detection of architectural distortions using textural analysis of surrounding tissueImad Zyout, Roberto Togneri
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Empirical mode decomposition of digital mammograms for the statistical based characterization of architectural distortionImad Zyout, Roberto Togneri
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 26, 2018
A computer-aided detection of the architectural distortion in digital mammograms using the fractal dimension measurements of BEMDImad Zyout, Roberto Togneri
IEEE Transactions on Cybernetics|April 2, 2014
Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden Markov model for signal modelingShamsul Huda, John Yearwood, Roberto Togneri
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|December 11, 2008
A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modelingShamsul Huda, John Yearwood, Roberto Togneri
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 7, 2010
Linear regression for face recognitionImran Naseem, Roberto Togneri, Mohammed Bennamoun
IEEE Transactions on Neural Networks and Learning Systems|November 9, 2021
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted FeaturesSaeedreza Shehnepoor, Roberto Togneri, Wei Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
RAFP-Pred: Robust Prediction of Antifreeze Proteins Using Localized Analysis of n-Peptide CompositionsShujaat Khan, Imran Naseem, Roberto Togneri, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 24, 2022
Spatio-Temporal Graph Representation Learning for Fraudster Group DetectionSaeedreza Shehnepoor, Roberto Togneri, Wei Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Automatic Shadow Detection and Removal from a Single ImageSalman H Khan, Mohammed Bennamoun, Ferdous Sohel, et al.
Pageof 2