| 2025 | CIBCB | Knowledge-Enriched Cell-Type Annotation in Single-Cell Transcriptomics via LLM Embeddings. | Andrea Fabbricatore, Francesca M. Buffa, Andrea Tangherloni |
| 2025 | CIBCB | GENESIS: Generating scRNA-Seq data from Multiome Gene Expression. | Simone G. Riva, Brynelle Myers, Francesca M. Buffa, Andrea Tangherloni |
| 2025 | ICCV | Now You See Me, Now You Don't: A Unified Framework for Expression Consistent Anonymization in Talking Head Videos. | Anil Egin, Andrea Tangherloni, Antitza Dantcheva |
| 2024 | CEC | A Modified EACOP Implementation for Real-Parameter Single Objective Optimization Problems. | Andrea Tangherloni, Vasco Coelho, Francesca M. Buffa, Paolo Cazzaniga |
| 2024 | CIBCB | Forest-based Evolutionary Algorithm for Reconstructing Boolean Gene Regulatory Networks. | Nicol Stranieri, Francesca M. Buffa, Andrea Tangherloni |
| 2024 | CIBCB | A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems. | Andrea Tangherloni, Paolo Cazzaniga, Nicol Stranieri, Francesca M. Buffa, Marco S. Nobile |
| 2023 | CEC | The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. | Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile |
| 2023 | CIBCB | Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data. | Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Francesca M. Buffa, Andrea Tangherloni |
| 2022 | CIBCB | A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data. | Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Andrea Tangherloni |
| 2022 | CIBCB | Multi-objective Optimization for Marker Panel Identification in Single-cell Data. | Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Paolo Cazzaniga |
| 2021 | CEC | The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data. | Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga |
| 2019 | PACT | HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels. | Leonardo Rundo, Andrea Tangherloni, Simone Galimberti, Paolo Cazzaniga, Ramona Woitek, Evis Sala, Marco S. Nobile, Giancarlo Mauri |
| 2018 | CEC | Computational Intelligence for Parameter Estimation of Biochemical Systems. | Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga |
| 2018 | EuroPar | GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis. | Marco Beccuti, Paolo Cazzaniga, Marzio Pennisi, Daniela Besozzi, Marco S. Nobile, Simone Pernice, Giulia Russo, Andrea Tangherloni, Francesco Pappalardo |
| 2018 | EuroPar | High Performance Computing for Haplotyping: Models and Platforms. | Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Li |
| 2018 | PDP | GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. | Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile |
| 2017 | CEC | Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems. | Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile |
| 2017 | CIBCB | Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. | Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga |
| 2016 | CEC | GPU-powered and settings-free parameter estimation of biochemical systems. | Marco S. Nobile, Andrea Tangherloni, Daniela Besozzi, Paolo Cazzaniga |
| 2016 | CIBCB | GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values. | Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga |