| USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets L Rundo, C Han, Y Nagano, J Zhang, R Hataya, C Militello, A Tangherloni, ... Neurocomputing 365, 31-43, 2019 | 271 | 2019 |
| Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization MS Nobile, P Cazzaniga, D Besozzi, R Colombo, G Mauri, G Pasi Swarm and Evolutionary Computation 39, 70-85, 2018 | 248 | 2018 |
| Graphics Processing Units in Bioinformatics, Computational Biology and Systems Biology MS Nobile, P Cazzaniga, A Tangherloni, D Besozzi Briefings in Bioinformatics 18 (5), 870-885, 2016 | 178 | 2016 |
| MedGA: a novel evolutionary method for image enhancement in medical imaging systems L Rundo, A Tangherloni, MS Nobile, C Militello, D Besozzi, G Mauri, ... Expert Systems with Applications 119, 387-399, 2019 | 131 | 2019 |
| Salp Swarm Optimization: a critical review M Castelli, L Manzoni, L Mariot, MS Nobile, A Tangherloni Expert Systems with Applications 189, 116029, 2022 | 91 | 2022 |
| Simpful: a user-friendly python library for fuzzy logic S Spolaor, C Fuchs, P Cazzaniga, U Kaymak, D Besozzi, MS Nobile International Journal of Computational Intelligence Systems 13 (1), 1687-1698, 2020 | 69 | 2020 |
| Computational strategies for a system-level understanding of metabolism P Cazzaniga, C Damiani, D Besozzi, R Colombo, MS Nobile, D Gaglio, ... Metabolites 4 (4), 1034-1087, 2014 | 64 | 2014 |
| Proactive particles in swarm optimization: A settings-free algorithm for real-parameter single objective optimization problems A Tangherloni, L Rundo, MS Nobile 2017 IEEE Congress on Evolutionary Computation (CEC), 1940-1947, 2017 | 62 | 2017 |
| A GPU-based multi-swarm PSO method for parameter estimation in stochastic biological systems exploiting discrete-time target series MS Nobile, D Besozzi, P Cazzaniga, G Mauri, D Pescini Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2012 | 61 | 2012 |
| The impact of particles initialization in PSO: parameter estimation as a case in point P Cazzaniga, MS Nobile, D Besozzi 2015 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2015 | 60 | 2015 |
| A novel framework for MR image segmentation and quantification by using MedGA L Rundo, A Tangherloni, P Cazzaniga, MS Nobile, G Russo, MC Gilardi, ... Computer methods and programs in biomedicine 176, 159-172, 2019 | 57 | 2019 |
| Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design A Tangherloni, S Spolaor, P Cazzaniga, D Besozzi, L Rundo, G Mauri, ... Applied Soft Computing 81, 105494, 2019 | 56 | 2019 |
| GPU-accelerated simulations of mass-action kinetics models with cupSODA MS Nobile, P Cazzaniga, D Besozzi, G Mauri The Journal of Supercomputing 69, 17-24, 2014 | 54 | 2014 |
| cuTauLeaping: A GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systems MS Nobile, P Cazzaniga, D Besozzi, D Pescini, G Mauri PLoS One 9 (3), e91963, 2014 | 52 | 2014 |
| CNN-based prostate zonal segmentation on T2-weighted MR images: a cross-dataset study L Rundo, C Han, J Zhang, R Hataya, Y Nagano, C Militello, C Ferretti, ... Neural Approaches to Dynamics of Signal Exchanges, 269-280, 2020 | 48 | 2020 |
| Computational intelligence for parameter estimation of biochemical systems MS Nobile, A Tangherloni, L Rundo, S Spolaor, D Besozzi, G Mauri, ... 2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018 | 48 | 2018 |
| GenHap: a novel computational method based on genetic algorithms for haplotype assembly A Tangherloni, S Spolaor, L Rundo, MS Nobile, P Cazzaniga, G Mauri, ... BMC Bioinformatics 20 (4), 172, 2019 | 37 | 2019 |
| Proactive particles in swarm optimization: a self-tuning algorithm based on fuzzy logic MS Nobile, G Pasi, P Cazzaniga, D Besozzi, R Colombo, G Mauri 2015 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2015 | 37 | 2015 |
| pyFUME: a Python package for fuzzy model estimation C Fuchs, S Spolaor, MS Nobile, U Kaymak 2020 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2020 | 32 | 2020 |
| A swarm intelligence approach to avoid local optima in fuzzy c-means clustering C Fuchs, S Spolaor, MS Nobile, U Kaymak 2019 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-6, 2019 | 30 | 2019 |
Paolo CazzanigaAssociate Professor, University of Bergamo確認したメール アドレス: unibg.it
