| 2025 | CIBCB | Improving the Efficiency and the Validity of Molecular Transformers. | Leone Bacciu, Matteo Grazioso, Silvia Multari, Francesca Grisoni, Angelica Mazzolari, Marco S. Nobile |
| 2025 | CIBCB | Assessing Cardiac Functionality by Means of Interpretable AI and Myocardial Strain. | Marco S. Nobile, Amalia Lupi, Leone Bacciu, Matteo Grazioso, Chiara Gallese, Emilio Quaia, Alessia Pepe |
| 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 | Investigating Semi-Automatic Assessment of Data Sets Fairness by Means of Fuzzy Logic. | Chiara Gallese, Teresa Scantamburlo, Luca Manzoni, Marco S. Nobile |
| 2023 | CIBCB | Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey. | Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang |
| 2023 | CIBCB | Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. | Daniele M. Papetti, Caro Fuchs, Vasco Coelho, Uzay Kaymak, Marco S. Nobile |
| 2023 | CIBCB | A Theoretical Framework for AI Models Explainability with Application in Biomedicine. | Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati |
| 2022 | CIBCB | The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models. | Caro Fuchs, Simone Spolaor, Uzay Kaymak, Marco S. Nobile |
| 2022 | CIBCB | Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. | Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile |
| 2022 | CIBCB | Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. | Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst |
| 2022 | CIBCB | Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. | Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile |
| 2021 | CEC | If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions. | Daniele M. Papetti, Daniel A. Ashlock, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile |
| 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 |
| 2021 | CIBCB | A comparison of multi-objective optimization algorithms to identify drug target combinations. | Simone Spolaor, Daniele M. Papetti, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile |
| 2020 | CEC | Which random is the best random? A study on sampling methods in Fourier surrogate modeling. | Marco S. Nobile, Simone Spolaor, Paolo Cazzaniga, Daniele M. Papetti, Daniela Besozzi, Daniel A. Ashlock, Luca Manzoni |
| 2020 | CIBCB | Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess. | Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Luca Manzoni |
| 2020 | IJCNN | On the automatic calibration of fully analogical spiking neuromorphic chips. | Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile |
| 2020 | IPMU | A Graph Theory Approach to Fuzzy Rule Base Simplification. | Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak |
| 2019 | CEC | Dilation Functions in Global Optimization. | Marco S. Nobile, Paolo Cazzaniga, Daniel A. Ashlock |
| 2019 | CIBCB | ProCell: Investigating cell proliferation with Swarm Intelligence. | Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi |
| 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 | ICCS | Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena. | Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi |
| 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 |
| 2017 | PACT | Accelerated Analysis of Biological Parameters Space Using GPUs. | Marco S. Nobile, Giancarlo Mauri |
| 2016 | CEC | GPU-powered and settings-free parameter estimation of biochemical systems. | Marco S. Nobile, Andrea Tangherloni, Daniela Besozzi, Paolo Cazzaniga |
| 2016 | CIBCB | Parallel implementation of efficient search schemes for the inference of cancer progression models. | Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Marco Antoniotti |
| 2016 | CIBCB | GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values. | Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga |
| 2015 | CEC | A double swarm methodology for parameter estimation in oscillating Gene Regulatory Networks. | Marco S. Nobile, Hitoshi Iba |
| 2015 | CIBCB | The impact of particles initialization in PSO: Parameter estimation as a case in point. | Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi |
| 2015 | PACT | Parallelizing Biochemical Stochastic Simulations: A Comparison of GPUs and Intel Xeon Phi Processors. | Paolo Cazzaniga, F. Ferrara, Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri |
| 2014 | CEC | A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information. | Marco S. Nobile, Andrea G. Citrolo, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri |
| 2014 | PDP | Simulation and Analysis of the Blood Coagulation Cascade Accelerated on GPU. | Matteo Bellini, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Marco S. Nobile |
| 2013 | CEC | Reverse engineering of kinetic reaction networks by means of Cartesian Genetic Programming and Particle Swarm Optimization. | Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, Giancarlo Mauri |
| 2013 | PACT | cupSODA: A CUDA-Powered Simulator of Mass-Action Kinetics. | Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini |
| 2012 | GECCO | Estimating reaction constants in stochastic biological systems with a multi-swarm PSO running on GPUs. | Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini |