PAPETTI, DANIELE MARIA
PAPETTI, DANIELE MARIA
DIPARTIMENTO DI MEDICINA E CHIRURGIA (SCHOOL OF MEDICINE AND SURGERY)
On the automatic calibration of fully analogical spiking neuromorphic chips
2020 Papetti, D; Spolaor, S; Besozzi, D; Cazzaniga, P; Antoniotti, M; Nobile, M
Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling
2020 Manzoni, L; Papetti, D; Cazzaniga, P; Spolaor, S; Mauri, G; Besozzi, D; Nobile, M
Which random is the best random? A study on sampling methods in Fourier surrogate modeling
2020 Nobile, M; Spolaor, S; Cazzaniga, P; Papetti, D; Besozzi, D; Ashlock, D; Manzoni, L
Dark blood ischemic LGE segmentation using a deep learning approach
2021 Torlasco, C; Papetti, D; Mene, R; Artico, J; Seraphim, A; Badano, L; Moon, J; Parati, G; Xue, H; Kellman, P; Nobile, M
A comparison of multi-objective optimization algorithms to identify drug target combinations
2021 Spolaor, S; Papetti, D; Cazzaniga, P; Besozzi, D; Nobile, M
If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions
2021 Papetti, D; Ashlock, D; Cazzaniga, P; Besozzi, D; Nobile, M
Metodo per determinare un tempo di inversione ottimale per una sequenza “Inversion Recovery” di risonanza magnetica utilizzabile per l’acquisizione di immagini tardive dopo somministrazione di un mezzo di contrasto paramagnetico
2022 Besozzi, D; Papetti, D; Torlasco, C; Nobile, M
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization
2022 Papetti, D; Coelho, V; Ashlock, D; Cazzaniga, P; Spolaor, S; Besozzi, D; Nobile, M
Shaping and Dilating the Fitness Landscape for Parameter Estimation in Stochastic Biochemical Models
2022 Nobile, M; Papetti, D; Spolaor, S; Cazzaniga, P; Manzoni, L
Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical validation
2023 Torlasco, C; Papetti, D; Castelletti, S; Sabatini, M; Muscogiuri, G; Badano, L; Parati, G; Kellman, P; Besozzi, D; Nobile, M
Evolving Dilation Functions for Parameter Estimation
2023 Papetti, D; Coelho, V
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts
2023 Coelho, V; Papetti, D; Tangherloni, A; Cazzaniga, P; Besozzi, D; Nobile, M
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning
2023 Papetti, D; Spolaor, S; Nazari, I; Tirelli, A; Leonardi, T; Caprioli, C; Besozzi, D; Vlachou, T; Pelicci, P; Cazzaniga, P; Nobile, M
Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance
2023 Botta, C; Perez, C; Larrayoz, M; Puig, N; Cedena, M; Termini, R; Goicoechea, I; Rodriguez, S; Zabaleta, A; Lopez, A; Sarvide, S; Blanco, L; Papetti, D; Nobile, M; Besozzi, D; Gentile, M; Correale, P; Siragusa, S; Oriol, A; González-Garcia, M; Sureda, A; de Arriba, F; Rios Tamayo, R; Moraleda, J; Gironella, M; Hernandez, M; Bargay, J; Palomera, L; Pérez-Montaña, A; Goldschmidt, H; Avet-Loiseau, H; Roccaro, A; Orfao, A; Martinez-Lopez, J; Rosiñol, L; Lahuerta, J; Blade, J; Mateos, M; San-Miguel, J; Martinez Climent, J; Paiva, B
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming
2023 Papetti, D; Tangherloni, A; Farinati, D; Cazzaniga, P; Vanneschi, L
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar
2023 Papetti, D; Van Abeelen, K; Davies, R; Menè, R; Heilbron, F; Perelli, F; Artico, J; Seraphim, A; Moon, J; Parati, G; Xue, H; Kellman, P; Badano, L; Besozzi, D; Nobile, M; Torlasco, C
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME
2023 Papetti, D; Fuchs, C; Coelho, V; Kaymak, U; Nobile, M
Meta-problems in global optimization: new perspectives from Computational Intelligence
2024 Papetti, D