Computational Intelligence for Parameter Estimation of biochemical systems
2018 Nobile, Marco S.; Tangherloni, Andrea; Rundo, Leonardo; Spolaor, Simone; Besozzi, Daniela; Mauri, Giancarlo; Cazzaniga, Paolo
Estimation of kinetic reaction constants: exploiting reboot strategies to improve PSO’s performance
2019 Spolaor, Simone; Tangherloni, Andrea; Rundo, Leonardo; Cazzaniga, Paolo; Nobile, Marco S.
Multimodal medical image registration using Particle Swarm Optimization: a review
2017 Rundo, Leonardo; Tangherloni, Andrea; Militello, Carmelo; Gilardi, Maria Carla; Mauri, Giancarlo
Multi-objective optimization for marker panel Identification in single-cell data
2022 Tangherloni, Andrea; Riva, Simone G.; Myers, Brynelle; Cazzaniga, Paolo
Proactive Particles in Swarm Optimization: a settings-free algorithm for real-parameter single objective optimization problems
2017 Tangherloni, Andrea; Rundo, Leonardo; Nobile, Marco S.
Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems
2017 Spolaor, Simone; Tangherloni, Andrea; Rundo, Leonardo; Nobile, Marco S.; Cazzaniga, Paolo
The impact of representation on the optimization of marker panels for single-cell RNA data
2021 Tangherloni, Andrea; Riva, Simone G.; Spolaor, Simone; Besozzi, Daniela; Nobile, Marco S.; Cazzaniga, Paolo
Efficient and settings-free calibration of detailed kinetic metabolic models with enzyme isoforms characterization
2020 Totis, Niccolò; Tangherloni, Andrea; Beccuti, Marco; Cazzaniga, Paolo; Nobile, Marco S.; Besozzi, Daniela; Pennisi, Marzio; Pappalardo, Francesco
GPU-powered multi-swarm Parameter Estimation of biological systems: a Master-Slave approach
2018 Tangherloni, Andrea; Rundo, Leonardo; Spolaor, Simone; Cazzaniga, Paolo; Nobile, Marco S.
GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis
2019 Beccuti, Marco; Cazzaniga, Paolo; Pennisi, Marzio; Besozzi, Daniela; Nobile, Marco S.; Pernice, Simone; Russo, Giulia; Tangherloni, Andrea; Pappalardo, Francesco
HaraliCU: GPU-powered Haralick feature extraction on medical images exploiting the full dynamics of gray-scale levels
2019 Rundo, Leonardo; Tangherloni, Andrea; Galimberti, Simone; Cazzaniga, Paolo; Woitek, Ramona; Sala, Evis; Nobile, Marco S.; Mauri, Giancarlo
GPU-powered and settings-free parameter estimation of biochemical systems
2016 Nobile, Marco S.; Tangherloni, Andrea; Besozzi, Daniela; Cazzaniga, Paolo
High performance computing for haplotyping: models and platforms
2019 Tangherloni, Andrea; Rundo, Leonardo; Spolaor, Simone; Nobile, Marco S.; Merelli, Ivan; Besozzi, Daniela; Mauri, Giancarlo; Cazzaniga, Paolo; Lio, Pietro
GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values
2016 Tangherloni, Andrea; Nobile, Marco S.; Cazzaniga, Paolo
Integration of multiple scRNA-Seq datasets on the autoencoder latent space
2021 Riva, Simone G.; Cazzaniga, Paolo; Tangherloni, Andrea
Consensus clustering strategy for cell type assignments of scRNA-seq data
2023 Riva, Simone G.; Myers, Brynelle; Cazzaniga, Paolo; Buffa, Francesca M.; Tangherloni, Andrea
The domination game: dilating bubbles to fill up Pareto fronts
2023 Coelho, Vasco; Papetti, Daniele M.; Tangherloni, Andrea; Cazzaniga, Paolo; Besozzi, Daniela; Nobile, Marco S.
Towards a blockchain implementation of a governance & revenue dispersal mechanism for investments in battery energy storage systems
2023 Bird, Bryan; Bokkisam, Hanumantha Rao; Savelli, Iacopo; Morstyn, Thomas; Cuffe, Paul
Cut sparsification of the clique beyond the Ramanujan bound: a separation of cut versus spectral sparsification
2022 Chen, Antares; Shi, Jonathan; Trevisan, Luca
Subexponential LPs approximate Max-Cut
2020 Hopkins, Samuel B.; Schramm, Tselil; Trevisan, Luca
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Computational Intelligence for Parameter Estimation of biochemical systems | 1-gen-2018 | Nobile, Marco S.; Tangherloni, Andrea; Rundo, Leonardo; Spolaor, Simone; Besozzi, Daniela; Mauri, Giancarlo; Cazzaniga, Paolo | - | (seleziona...) |
| Estimation of kinetic reaction constants: exploiting reboot strategies to improve PSO’s performance | 1-gen-2019 | Spolaor, Simone; Tangherloni, Andrea; Rundo, Leonardo; Cazzaniga, Paolo; Nobile, Marco S. | - | Springer |
| Multimodal medical image registration using Particle Swarm Optimization: a review | 1-gen-2017 | Rundo, Leonardo; Tangherloni, Andrea; Militello, Carmelo; Gilardi, Maria Carla; Mauri, Giancarlo | - | (seleziona...) |
| Multi-objective optimization for marker panel Identification in single-cell data | 1-gen-2022 | Tangherloni, Andrea; Riva, Simone G.; Myers, Brynelle; Cazzaniga, Paolo | - | (seleziona...) |
| Proactive Particles in Swarm Optimization: a settings-free algorithm for real-parameter single objective optimization problems | 1-gen-2017 | Tangherloni, Andrea; Rundo, Leonardo; Nobile, Marco S. | - | (seleziona...) |
| Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems | 1-gen-2017 | Spolaor, Simone; Tangherloni, Andrea; Rundo, Leonardo; Nobile, Marco S.; Cazzaniga, Paolo | - | (seleziona...) |
| The impact of representation on the optimization of marker panels for single-cell RNA data | 1-gen-2021 | Tangherloni, Andrea; Riva, Simone G.; Spolaor, Simone; Besozzi, Daniela; Nobile, Marco S.; Cazzaniga, Paolo | - | (seleziona...) |
| Efficient and settings-free calibration of detailed kinetic metabolic models with enzyme isoforms characterization | 1-gen-2020 | Totis, Niccolò; Tangherloni, Andrea; Beccuti, Marco; Cazzaniga, Paolo; Nobile, Marco S.; Besozzi, Daniela; Pennisi, Marzio; Pappalardo, Francesco | - | Springer |
| GPU-powered multi-swarm Parameter Estimation of biological systems: a Master-Slave approach | 1-gen-2018 | Tangherloni, Andrea; Rundo, Leonardo; Spolaor, Simone; Cazzaniga, Paolo; Nobile, Marco S. | - | (seleziona...) |
| GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis | 1-gen-2019 | Beccuti, Marco; Cazzaniga, Paolo; Pennisi, Marzio; Besozzi, Daniela; Nobile, Marco S.; Pernice, Simone; Russo, Giulia; Tangherloni, Andrea; Pappalardo, Francesco | - | Springer |
| HaraliCU: GPU-powered Haralick feature extraction on medical images exploiting the full dynamics of gray-scale levels | 1-gen-2019 | Rundo, Leonardo; Tangherloni, Andrea; Galimberti, Simone; Cazzaniga, Paolo; Woitek, Ramona; Sala, Evis; Nobile, Marco S.; Mauri, Giancarlo | - | Springer |
| GPU-powered and settings-free parameter estimation of biochemical systems | 1-gen-2016 | Nobile, Marco S.; Tangherloni, Andrea; Besozzi, Daniela; Cazzaniga, Paolo | - | (seleziona...) |
| High performance computing for haplotyping: models and platforms | 1-gen-2019 | Tangherloni, Andrea; Rundo, Leonardo; Spolaor, Simone; Nobile, Marco S.; Merelli, Ivan; Besozzi, Daniela; Mauri, Giancarlo; Cazzaniga, Paolo; Lio, Pietro | - | Springer |
| GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values | 1-gen-2016 | Tangherloni, Andrea; Nobile, Marco S.; Cazzaniga, Paolo | - | (seleziona...) |
| Integration of multiple scRNA-Seq datasets on the autoencoder latent space | 1-gen-2021 | Riva, Simone G.; Cazzaniga, Paolo; Tangherloni, Andrea | - | (seleziona...) |
| Consensus clustering strategy for cell type assignments of scRNA-seq data | 1-gen-2023 | Riva, Simone G.; Myers, Brynelle; Cazzaniga, Paolo; Buffa, Francesca M.; Tangherloni, Andrea | - | (seleziona...) |
| The domination game: dilating bubbles to fill up Pareto fronts | 1-gen-2023 | Coelho, Vasco; Papetti, Daniele M.; Tangherloni, Andrea; Cazzaniga, Paolo; Besozzi, Daniela; Nobile, Marco S. | - | (seleziona...) |
| Towards a blockchain implementation of a governance & revenue dispersal mechanism for investments in battery energy storage systems | 1-gen-2023 | Bird, Bryan; Bokkisam, Hanumantha Rao; Savelli, Iacopo; Morstyn, Thomas; Cuffe, Paul | - | (seleziona...) |
| Cut sparsification of the clique beyond the Ramanujan bound: a separation of cut versus spectral sparsification | 1-gen-2022 | Chen, Antares; Shi, Jonathan; Trevisan, Luca | - | Association for Computing Machinery |
| Subexponential LPs approximate Max-Cut | 1-gen-2020 | Hopkins, Samuel B.; Schramm, Tselil; Trevisan, Luca | - | (seleziona...) |
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