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Salp Swarm Optimization: a Critical Review

Jun 03, 2021
Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni

* 16 pages, 3 figures 

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USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

Apr 17, 2019
Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga

* 44 pages, 6 figures, co-first authors: Leonardo Rundo and Changhee Han, submitted to Neurocomputing with the first submission: July 31, 2018 and revised version R1 submission (current version): April 15, 2019 

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CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study

Mar 29, 2019
Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri

* 12 pages, 3 figures, Accepted to Neural Approaches to Dynamics of Signal Exchanges as a Springer book chapter 

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Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena

Oct 23, 2018
Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi

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Multi-objective optimization to explicitly account for model complexity when learning Bayesian Networks

Aug 03, 2018
Paolo Cazzaniga, Marco S. Nobile, Daniele Ramazzotti

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Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models

Mar 08, 2017
Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Marco Antoniotti

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