PAPETTI, DANIELE MARIA
PAPETTI, DANIELE MARIA
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
Boosting thyroid nodule diagnosis through ultrasound and molecular imaging integration with unsupervised learning
2026 Facchinetti, F; L'Imperio, V; Piga, I; Papetti, D; Capitoli, G
HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
2026 Papetti, D; Nobile, M; Grazioso, M; Cazzaniga, P; Vanneschi, L; Besozzi, D
Improving the Annotation for Spatial Proteomics: A Computational Approach to Enhance Molecular Characterization of Thyroid Nodules
2026 Coelho, V; Monza, N; Porto, N; Capitoli, G; L'Imperio, V; Papetti, D; Denti, V
Local manipulations of the fitness landscape mitigate stall in particle swarm optimization
2026 Marino, M; Papetti, D; Besozzi, D; Nobile, M
Enhancing proteomics characterization of thyroid nodules: a pixel-classifier for mass spectrometry imaging analyses
2025 Monza, N; Porto, N; Coelho, V; L’Imperio, V; Papetti, D; Di Nicoli, F; Fumagalli, C; Capitoli, G; Denti, V
MiThyCA: A Computational Pathology Pipeline for the Identification of Microscopic Foci of Papillary Thyroid Carcinoma-Like Nuclear Features with AI in Whole-Slide Histological Images
2025 Bacciu, L; Urso, M; Coelho, V; Cazzaniga, G; Pincelli, A; Garancini, M; Papetti, D; Besozzi, D; Capitoli, G; Galimberti, S; Vargiolu, A; Fusco, N; Gianatti, A; Pagni, F; L'Imperio, V; Nobile, M
Our Fruitful Relationship with Sugeno Inference, from FUMOSO to pyFUME
2025 Bacciu, L; Cazzaniga, P; Gallese, C; Fuchs, C; Kaymak, U; Papetti, D; Nobile, M
We Are Sending You Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization
2025 Papetti, D; Tangherloni, A; Coelho, V; Besozzi, D; Cazzaniga, P; Nobile, M
Machine learning streamlines the morphometric characterization and multi-class segmentation of nuclei in different follicular thyroid lesions: everything in a NUTSHELL
2024 L'Imperio, V; Coelho, V; Cazzaniga, G; Papetti, D; Del Carro, F; Capitoli, G; Marino, M; Ceku, J; Fusco, N; Ivanova, M; Gianatti, A; Nobile, M; Galimberti, S; Besozzi, D; Pagni, F
Meta-problems in global optimization: new perspectives from Computational Intelligence
2024 Papetti, D
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
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
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME
2023 Papetti, D; Fuchs, C; Coelho, V; Kaymak, U; Nobile, M
Evolving Dilation Functions for Parameter Estimation
2023 Papetti, D; Coelho, V
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
Method for Determining an Optimal Inversion Time for an "Inversion Recovery" Radio Frequency Pulse Sequence of a Magnetic Resonance for Acquiring Late Images After Administering a Paramagnetic Contrast Medium
2023 Papetti, D; Torlasco, C; Nobile, M; Besozzi, D
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming
2023 Papetti, D; Tangherloni, A; Farinati, D; Cazzaniga, P; Vanneschi, L
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts
2023 Coelho, V; Papetti, D; Tangherloni, A; Cazzaniga, P; Besozzi, D; Nobile, M
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
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