Marco S. Nobile

114 papers B 20C 20Journal 51Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Meta-research Can Pave the Road Towards Trustworthy AI In Healthcare: Catalogue of Ideas and Roadmap for Future Research. CoRR Valerie K. Bürger, Marlie Besouw, Jana Fehr, Riana Minocher, Emma Moorhead, Isabel Velarde, Louis Agha-Mir-Salim, Julia Amann, Alexandra Bannach-Brown, David B. Blumenthal, Kaitlyn Hair, Bert Heinrichs, Moritz Herrmann, Elizabeth Hofvenschiöld, Sune Holm, Anne A. H. de Hond, Sara Kijewski, Stuart McLennan, Timo Minssen, Marco S. Nobile, Nico Pfeifer, Jessica L. Rohmann, Tony Ross-Hellauer, Marija Slavkovik, Karin Tafur, Eleonora Viganò, Magnus Westerlund, Tracey L. Weissgerber, Vince I. Madai
2026	J	`jnl`	Local manipulations of the fitness landscape mitigate stall in particle swarm optimization. Appl. Soft Comput. Mario Marino, Daniele M. Papetti, Daniela Besozzi, Marco S. Nobile
2026	J	`jnl`	Massive stochastic simulation of cosmic rays propagation in the heliosphere: The COSMICA code. Astron. Comput. Leone Bacciu, Matteo Grazioso, Giovanni Cavallotto, Stefano Della Torre, Massimo Gervasi, Giuseppe La Vacca, Sabina Rossi, Marco S. Nobile
2026	J	`jnl`	Validation of COSMICA code for massive stochastic simulation of cosmic rays propagation in the heliosphere. Astron. Comput. Stefano Della Torre, Leone Bacciu, Matteo Grazioso, Giovanni Cavallotto, Massimo Gervasi, Giuseppe La Vacca, Sabina Rossi, Marco S. Nobile
2025	—	`conf`	A Survey of Modern Hybrid Particle Swarm Optimization Algorithms. EvoApplications (2) Matteo Grazioso, Chiara Gallese, Leonardo Vanneschi, Marco S. Nobile
2025	C	`conf`	Assessing Cardiac Functionality by Means of Interpretable AI and Myocardial Strain. CIBCB Marco S. Nobile, Amalia Lupi, Leone Bacciu, Matteo Grazioso, Chiara Gallese, Emilio Quaia, Alessia Pepe
2025	—	`conf`	Assessing and Quantifying Perceived Trust in Interpretable Clinical Decision Support. xAI (3) Mohsen Abbaspour Onari, Isel Grau, Chao Zhang, Marco S. Nobile, Yingqian Zhang
2025	J	`jnl`	Assisting clinical diagnosis with interpretable fuzzy probabilistic modelling. BMC Medical Informatics Decis. Mak. Giulia Capitoli, Marco S. Nobile, Emma L. Ambags, Vincenzo L' Imperio, Michele Provenzano, Pietro Liò
2025	J	`jnl`	FanFAIR: sensitive data sets semi-automatic fairness assessment. BMC Medical Informatics Decis. Mak. Chiara Gallese, Teresa Scantamburlo, Luca Manzoni, Simone Giannerini, Marco S. Nobile
2025	C	`conf`	Improving the Efficiency and the Validity of Molecular Transformers. CIBCB Leone Bacciu, Matteo Grazioso, Silvia Multari, Francesca Grisoni, Angelica Mazzolari, Marco S. Nobile
2025	J	`jnl`	Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust. CoRR Mohsen Abbaspour Onari, Lucie Charlotte Magister, Yaoxin Wu, Amalia Lupi, Dario Creazzo, Mattia Tordin, Luigi Di Donatantonio, Emilio Quaia, Chao Zhang, Isel Grau, Marco S. Nobile, Yingqian Zhang, Pietro Liò
2025	—	`conf`	The Dynamics of Trust in XAI: Assessing Perceived and Demonstrated Trust Across Interaction Modes and Risk Treatments. xAI (1) Mohsen Abbaspour Onari, Gregor Baer, Chao Zhang, Isel Grau, Marco S. Nobile, Yingqian Zhang
2025	—	`conf`	We Are Sending You Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization. EvoApplications (2) Daniele M. Papetti, Andrea Tangherloni, Vasco Coelho, Daniela Besozzi, Paolo Cazzaniga, Marco S. Nobile
2024	C	`conf`	A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems. CIBCB Andrea Tangherloni, Paolo Cazzaniga, Nicolò Stranieri, Francesca M. Buffa, Marco S. Nobile
2024	J	`jnl`	An explainable data-driven decision support framework for strategic customer development. Knowl. Based Syst. Mohsen Abbaspour Onari, Mustafa Jahangoshai Rezaee, Morteza Saberi, Marco S. Nobile
2024	—	`conf`	Applications of IFIS python library in interval-valued fuzzy inference problems. FUZZ Barbara Pékala, Piotr Grochowalski, Dawid Kosior, Dorota Gil, Wojciech Koziol, Krzysztof Dyczkowski, Uzay Kaymak, Caro Fuchs, Marco S. Nobile
2024	J	`jnl`	Python library for interval-valued fuzzy inference. SoftwareX Krzysztof Dyczkowski, Piotr Grochowalski, Dawid Kosior, Dorota Gil, Wojciech Koziol, Barbara Pekala, Uzay Kaymak, Caro Fuchs, Marco S. Nobile
2023	C	`conf`	A Theoretical Framework for AI Models Explainability with Application in Biomedicine. CIBCB Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati
2023	J	`jnl`	An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. Comput. Methods Programs Biomed. Daniele M. Papetti, Kirsten van Abeelen, Rhodri H. Davies, Roberto Menè, Francesca Heilbron, Francesco P. Perelli, Jessica Artico, Andreas Seraphim, James C. Moon, Gianfranco Parati, Hui Xue, Peter Kellman, Luigi P. Badano, Daniela Besozzi, Marco S. Nobile, Camilla Torlasco
2023	J	`jnl`	Assisting clinical practice with fuzzy probabilistic decision trees. CoRR Emma L. Ambags, Giulia Capitoli, Vincenzo L' Imperio, Michele Provenzano, Marco S. Nobile, Pietro Liò
2023	J	`jnl`	Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning. Frontiers Bioinform. Daniele M. Papetti, Simone Spolaor, Iman Nazari, Andrea Tirelli, Tommaso Leonardi, Chiara Caprioli, Daniela Besozzi, Thalia Vlachou, Pier Giuseppe Pelicci, Paolo Cazzaniga, Marco S. Nobile
2023	C	`conf`	Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. CIBCB Daniele M. Papetti, Caro Fuchs, Vasco Coelho, Uzay Kaymak, Marco S. Nobile
2023	C	`conf`	Investigating Semi-Automatic Assessment of Data Sets Fairness by Means of Fuzzy Logic. CIBCB Chiara Gallese, Teresa Scantamburlo, Luca Manzoni, Marco S. Nobile
2023	J	`jnl`	Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model. CoRR Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang
2023	J	`jnl`	Models of Representation in Computational Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. Marco S. Nobile, Luca Manzoni, Daniel A. Ashlock, Rong Qu
2023	J	`jnl`	Ten quick tips for fuzzy logic modeling of biomedical systems. PLoS Comput. Biol. Davide Chicco, Simone Spolaor, Marco S. Nobile
2023	B	`conf`	The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. CEC Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
2023	C	`conf`	Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey. CIBCB Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang
2023	J	`jnl`	Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies. Expert Syst. Appl. Marco S. Nobile, Giulia Capitoli, Virgil Sowirono, Francesca Clerici, Isabella Piga, Kirsten van Abeelen, Fulvio Magni, Fabio Pagni, Stefania Galimberti, Paolo Cazzaniga, Daniela Besozzi
2022	B	`conf`	Building Interpretable and Parsimonious Fuzzy Models using a Multi-Objective Approach. FUZZ-IEEE Caro Fuchs, Uzay Kaymak, Marco S. Nobile
2022	C	`conf`	Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. CIBCB Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst
2022	C	`conf`	Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. CIBCB Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile
2022	C	`conf`	Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. CIBCB Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile
2022	J	`jnl`	SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. Symmetry Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni
2022	J	`jnl`	Salp Swarm Optimization: A critical review. Expert Syst. Appl. Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni
2022	C	`conf`	The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models. CIBCB Caro Fuchs, Simone Spolaor, Uzay Kaymak, Marco S. Nobile
2021	J	`jnl`	A CUDA-powered method for the feature extraction and unsupervised analysis of medical images. J. Supercomput. Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Matteo Mistri, Simone Galimberti, Ramona Woitek, Evis Sala, Giancarlo Mauri, Marco S. Nobile
2021	C	`conf`	A comparison of multi-objective optimization algorithms to identify drug target combinations. CIBCB Simone Spolaor, Daniele M. Papetti, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
2021	J	`jnl`	Accelerated global sensitivity analysis of genome-wide constraint-based metabolic models. BMC Bioinform. Marco S. Nobile, Vasco Coelho, Dario Pescini, Chiara Damiani
2021	—	`conf`	Characterizing the flying behaviour of bird flocks with fuzzy reasoning. WILF Elisa Perinot, Johannes Fritz, Leonida Fusani, Bernhard Voelkl, Marco S. Nobile
2021	J	`jnl`	FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks. PLoS Comput. Biol. Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Giulia Capitoli, Simone Spolaor, Leonardo Rundo, Giancarlo Mauri, Daniela Besozzi
2021	B	`conf`	If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions. CEC Daniele M. Papetti, Daniel A. Ashlock, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
2021	J	`jnl`	Investigating the performance of multi-objective optimization when learning Bayesian Networks. Neurocomputing Marco S. Nobile, Paolo Cazzaniga, Daniele Ramazzotti
2021	J	`jnl`	Salp Swarm Optimization: a Critical Review. CoRR Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni
2021	B	`conf`	The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data. CEC Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga
2021	J	`jnl`	Tremor assessment using smartphone sensor data and fuzzy reasoning. BMC Bioinform. Caro Fuchs, Marco S. Nobile, Guillaume Zamora, Aurélie Degeneffe, Pieter Leonard Kubben, Uzay Kaymak
2020	—	`conf`	A Graph Theory Approach to Fuzzy Rule Base Simplification. IPMU (1) Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak
2020	—	`ch.`	CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study. Neural Approaches to Dynamics of Signal Exchanges Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
2020	J	`jnl`	Computational Intelligence for Life Sciences. Fundam. Informaticae Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni
2020	J	`jnl`	Coupling Mechanistic Approaches and Fuzzy Logic to Model and Simulate Complex Systems. IEEE Trans. Fuzzy Syst. Simone Spolaor, Marco S. Nobile, Giancarlo Mauri, Paolo Cazzaniga, Daniela Besozzi
2020	C	`conf`	Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess. CIBCB Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Luca Manzoni
2020	J	`jnl`	Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells. Bioinform. Marco S. Nobile, Giuseppina Votta, Roberta Palorini, Simone Spolaor, Humberto De Vitto, Paolo Cazzaniga, Francesca Ricciardiello, Giancarlo Mauri, Lilia Alberghina, Ferdinando Chiaradonna, Daniela Besozzi
2020	B	`conf`	On the automatic calibration of fully analogical spiking neuromorphic chips. IJCNN Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile
2020	—	`conf`	Preventing litigation with a predictive model of COVID-19 ICUs occupancy. IEEE BigData Chiara Gallese, Elena Falletti, Marco S. Nobile, Lucrezia Ferrario, Fabrizio Schettini, Emanuela Foglia
2020	J	`jnl`	Simpful: A User-Friendly Python Library for Fuzzy Logic. Int. J. Comput. Intell. Syst. Simone Spolaor, Caro Fuchs, Paolo Cazzaniga, Uzay Kaymak, Daniela Besozzi, Marco S. Nobile
2020	J	`jnl`	Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling. Entropy Luca Manzoni, Daniele M. Papetti, Paolo Cazzaniga, Simone Spolaor, Giancarlo Mauri, Daniela Besozzi, Marco S. Nobile
2020	B	`conf`	Which random is the best random? A study on sampling methods in Fourier surrogate modeling. CEC Marco S. Nobile, Simone Spolaor, Paolo Cazzaniga, Daniele M. Papetti, Daniela Besozzi, Daniel A. Ashlock, Luca Manzoni
2020	J	`jnl`	cuProCell: GPU-Accelerated Analysis of Cell Proliferation With Flow Cytometry Data. IEEE J. Biomed. Health Informatics Marco S. Nobile, Eric Nisoli, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi
2020	B	`conf`	pyFUME: a Python Package for Fuzzy Model Estimation. FUZZ-IEEE Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak
2019	—	`conf`	A Novel Multi-objective Approach to Fuzzy Clustering. SSCI Simone Spolaor, Caro Fuchs, Uzay Kaymak, Marco S. Nobile
2019	B	`conf`	A Swarm Intelligence Approach to Avoid Local Optima in Fuzzy C-Means Clustering. FUZZ-IEEE Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak
2019	J	`jnl`	A novel framework for MR image segmentation and quantification by using MedGA. Comput. Methods Programs Biomed. Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Marco S. Nobile, Giorgio Russo, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Daniela Besozzi, Carmelo Militello
2019	J	`jnl`	Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design. Appl. Soft Comput. Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, Daniela Besozzi, Leonardo Rundo, Giancarlo Mauri, Marco S. Nobile
2019	J	`jnl`	CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. CoRR Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
2019	B	`conf`	Dilation Functions in Global Optimization. CEC Marco S. Nobile, Paolo Cazzaniga, Daniel A. Ashlock
2019	J	`jnl`	Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena. J. Comput. Sci. Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi
2019	J	`jnl`	GenHap: a novel computational method based on genetic algorithms for haplotype assembly. BMC Bioinform. Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Pietro Liò, Ivan Merelli, Daniela Besozzi
2019	B	`conf`	HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels. PaCT Leonardo Rundo, Andrea Tangherloni, Simone Galimberti, Paolo Cazzaniga, Ramona Woitek, Evis Sala, Marco S. Nobile, Giancarlo Mauri
2019	J	`jnl`	MedGA: A novel evolutionary method for image enhancement in medical imaging systems. Expert Syst. Appl. Leonardo Rundo, Andrea Tangherloni, Marco S. Nobile, Carmelo Militello, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2019	J	`jnl`	Modeling cell proliferation in human acute myeloid leukemia xenografts. Bioinform. Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Daniela Bossi, Paolo Cazzaniga, Luisa Lanfrancone, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi
2019	C	`conf`	ProCell: Investigating cell proliferation with Swarm Intelligence. CIBCB Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi
2019	—	`ch.`	Towards Human Cell Simulation. High-Performance Modelling and Simulation for Big Data Applications Simone Spolaor, Marco Gribaudo, Mauro Iacono, Tomas Kadavy, Zuzana Komínková Oplatková, Giancarlo Mauri, Sabri Pllana, Roman Senkerik, Natalija Stojanovic, Esko Turunen, Adam Viktorin, Salvatore Vitabile, Ales Zamuda, Marco S. Nobile
2019	J	`jnl`	USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. Neurocomputing Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
2019	J	`jnl`	USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. CoRR Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
2019	J	`jnl`	ginSODA: massive parallel integration of stiff ODE systems on GPUs. J. Supercomput. Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri
2018	B	`conf`	Computational Intelligence for Parameter Estimation of Biochemical Systems. CEC Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2018	—	`conf`	Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization. CIBB Niccoló Totis, Andrea Tangherloni, Marco Beccuti, Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi, Marzio Pennisi, Francesco Pappalardo
2018	J	`jnl`	Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization. Swarm Evol. Comput. Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Riccardo Colombo, Giancarlo Mauri, Gabriella Pasi
2018	—	`conf`	GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis. Euro-Par Workshops Marco Beccuti, Paolo Cazzaniga, Marzio Pennisi, Daniela Besozzi, Marco S. Nobile, Simone Pernice, Giulia Russo, Andrea Tangherloni, Francesco Pappalardo
2018	C	`conf`	GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. PDP Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile
2018	—	`conf`	Global Sensitivity Analysis of Constraint-Based Metabolic Models. CIBB Chiara Damiani, Dario Pescini, Marco S. Nobile
2018	—	`conf`	High Performance Computing for Haplotyping: Models and Platforms. Euro-Par Workshops Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Liò
2018	J	`jnl`	Multi-objective optimization to explicitly account for model complexity when learning Bayesian Networks. CoRR Paolo Cazzaniga, Marco S. Nobile, Daniele Ramazzotti
2018	—	`conf`	Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena. ICCS (1) Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi
2017	B	`conf`	Accelerated Analysis of Biological Parameters Space Using GPUs. PaCT Marco S. Nobile, Giancarlo Mauri
2017	J	`jnl`	Efficient Simulation of Reaction Systems on Graphics Processing Units. Fundam. Informaticae Marco S. Nobile, Antonio E. Porreca, Simone Spolaor, Luca Manzoni, Paolo Cazzaniga, Giancarlo Mauri, Daniela Besozzi
2017	—	`conf`	Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance. CIBB Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Paolo Cazzaniga, Marco S. Nobile
2017	J	`jnl`	GPU-powered model analysis with PySB/cupSODA. Bioinform. Leonard A. Harris, Marco S. Nobile, James C. Pino, Alexander L. R. Lubbock, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Carlos F. Lopez
2017	J	`jnl`	GenHap: A novel computational method based on genetic algorithms for haplotype assembly. PeerJ Prepr. Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Ivan Merelli, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Pietro Liò
2017	J	`jnl`	Gillespie's Stochastic Simulation Algorithm on MIC coprocessors. J. Supercomput. Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri
2017	J	`jnl`	Graphics processing units in bioinformatics, computational biology and systems biology. Briefings Bioinform. Marco S. Nobile, Paolo Cazzaniga, Andrea Tangherloni, Daniela Besozzi
2017	J	`jnl`	LASSIE: simulating large-scale models of biochemical systems on GPUs. BMC Bioinform. Andrea Tangherloni, Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2017	J	`jnl`	Learning the Probabilistic Structure of Cumulative Phenomena with Suppes-Bayes Causal Networks. CoRR Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi
2017	J	`jnl`	Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models. CoRR Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Marco Antoniotti
2017	B	`conf`	Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems. CEC Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile
2017	C	`conf`	Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. CIBCB Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga
2016	—	`conf`	COSYS: A Computational Infrastructure for Systems Biology. CIBB Fabio Cumbo, Marco S. Nobile, Chiara Damiani, Riccardo Colombo, Giancarlo Mauri, Paolo Cazzaniga
2016	C	`conf`	GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values. CIBCB Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga
2016	B	`conf`	GPU-powered and settings-free parameter estimation of biochemical systems. CEC Marco S. Nobile, Andrea Tangherloni, Daniela Besozzi, Paolo Cazzaniga
2016	C	`conf`	Parallel implementation of efficient search schemes for the inference of cancer progression models. CIBCB Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Marco Antoniotti
2015	B	`conf`	A double swarm methodology for parameter estimation in oscillating Gene Regulatory Networks. CEC Marco S. Nobile, Hitoshi Iba
2015	B	`conf`	Parallelizing Biochemical Stochastic Simulations: A Comparison of GPUs and Intel Xeon Phi Processors. PaCT Paolo Cazzaniga, F. Ferrara, Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri
2015	B	`conf`	Proactive Particles in Swarm Optimization: A self-tuning algorithm based on Fuzzy Logic. FUZZ-IEEE Marco S. Nobile, Gabriella Pasi, Paolo Cazzaniga, Daniela Besozzi, Riccardo Colombo, Giancarlo Mauri
2015	C	`conf`	The impact of particles initialization in PSO: Parameter estimation as a case in point. CIBCB Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi
2014	B	`conf`	A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information. IEEE Congress on Evolutionary Computation Marco S. Nobile, Andrea G. Citrolo, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri
2014	J	`jnl`	GPU-accelerated simulations of mass-action kinetics models with cupSODA. J. Supercomput. Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri
2014	C	`conf`	Simulation and Analysis of the Blood Coagulation Cascade Accelerated on GPU. PDP Matteo Bellini, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Marco S. Nobile
2013	—	`conf`	Evolutionary inference of biochemical reaction networks accelerated on graphics processing units. HPCS Marco S. Nobile, Giancarlo Mauri
2013	—	`conf`	GPU-powered Simulation Methodologies for Biological Systems. WIVACE Daniela Besozzi, Giulio Caravagna, Paolo Cazzaniga, Marco S. Nobile, Dario Pescini, Alessandro Re
2013	B	`conf`	Reverse engineering of kinetic reaction networks by means of Cartesian Genetic Programming and Particle Swarm Optimization. IEEE Congress on Evolutionary Computation Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, Giancarlo Mauri
2013	—	`conf`	The foundation of Evolutionary Petri Nets. BioPPN@Petri Nets Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri
2013	B	`conf`	cupSODA: A CUDA-Powered Simulator of Mass-Action Kinetics. PaCT Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini
2012	—	`conf`	A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series. EvoBIO Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini
2012	—	`conf`	Estimating reaction constants in stochastic biological systems with a multi-swarm PSO running on GPUs. GECCO (Companion) Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini