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2020 – today
- 2024
[j35]Mohsen Abbaspour Onari
, Mustafa Jahangoshai Rezaee, Morteza Saberi, Marco S. Nobile:
An explainable data-driven decision support framework for strategic customer development. Knowl. Based Syst. 295: 111761 (2024)- [j34]Krzysztof Dyczkowski, Piotr Grochowalski, Dawid Kosior, Dorota Gil, Wojciech Koziol, Barbara Pekala, Uzay Kaymak, Caro Fuchs, Marco S. Nobile:
Python library for interval-valued fuzzy inference. SoftwareX 26: 101730 (2024) - [c57]Silvia Multari, Riza Özçelik, Angelica Mazzolari, Marco Salvatore Nobile, Francesca Grisoni:
Predicting Metabolic Reactions with a Molecular Transformer for Drug Design Optimization. CIBCB 2024: 1-8 - [c56]Andrea Tangherloni, Paolo Cazzaniga, Nicolò Stranieri, Francesca M. Buffa, Marco S. Nobile:
A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems. CIBCB 2024: 1-8 - [c55]Barbara Pékala, Piotr Grochowalski, Dawid Kosior, Dorota Gil, Wojciech Koziol, Krzysztof Dyczkowski, Uzay Kaymak, Caro Fuchs, Marco S. Nobile:
Applications of IFIS python library in interval-valued fuzzy inference problems. FUZZ 2024: 1-9 - 2023
- [j33]Marco S. Nobile, Luca Manzoni, Daniel A. Ashlock, Rong Qu:
Models of Representation in Computational Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. 18(1): 20-21 (2023) - [j32]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:
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. 229: 107321 (2023) - [j31]Marco S. Nobile, Giulia Capitoli, Virgil Sowirono, Francesca Clerici, Isabella Piga, Kirsten van Abeelen, Fulvio Magni, Fabio Pagni, Stefania Galimberti, Paolo Cazzaniga, Daniela Besozzi:
Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies. Expert Syst. Appl. 215: 119296 (2023) - [j30]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:
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning. Frontiers Bioinform. 3 (2023) - [j29]Davide Chicco, Simone Spolaor, Marco S. Nobile:
Ten quick tips for fuzzy logic modeling of biomedical systems. PLoS Comput. Biol. 19(12) (2023) - [c54]Andrea Bianchi, Antinisca Di Marco, Francesca Marzi, Giovanni Stilo, Cristina Pellegrini, Stefano Masi, Alessandro Mengozzi, Agostino Virdis, Marco Salvatore Nobile, Marta Simeoni:
Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions. CBMS 2023: 231-234 - [c53]Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile:
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. CEC 2023: 1-8 - [c52]Chiara Gallese, Teresa Scantamburlo, Luca Manzoni, Marco S. Nobile:
Investigating Semi-Automatic Assessment of Data Sets Fairness by Means of Fuzzy Logic. CIBCB 2023: 1-10 - [c51]Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang:
Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey. CIBCB 2023: 1-8 - [c50]Daniele M. Papetti, Caro Fuchs, Vasco Coelho, Uzay Kaymak, Marco S. Nobile:
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. CIBCB 2023: 1-8 - [c49]Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati:
A Theoretical Framework for AI Models Explainability with Application in Biomedicine. CIBCB 2023: 1-9 - [i9]Emma L. Ambags, Giulia Capitoli, Vincenzo L' Imperio, Michele Provenzano, Marco S. Nobile, Pietro Liò:
Assisting clinical practice with fuzzy probabilistic decision trees. CoRR abs/2304.07788 (2023) - [i8]Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang:
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model. CoRR abs/2307.11765 (2023) - 2022
- [j28]Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni:
Salp Swarm Optimization: A critical review. Expert Syst. Appl. 189: 116029 (2022) - [j27]Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni:
SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. Symmetry 14(1): 119 (2022) - [c48]Caro Fuchs, Simone Spolaor, Uzay Kaymak, Marco S. Nobile:
The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models. CIBCB 2022: 1-8 - [c47]Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile:
Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. CIBCB 2022: 1-9 - [c46]Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst:
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. CIBCB 2022: 1-8 - [c45]Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile:
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. CIBCB 2022: 1-8 - [c44]Caro Fuchs, Uzay Kaymak, Marco S. Nobile:
Building Interpretable and Parsimonious Fuzzy Models using a Multi-Objective Approach. FUZZ-IEEE 2022: 1-8 - 2021
- [j26]Caro Fuchs, Marco S. Nobile, Guillaume Zamora, Aurélie Degeneffe, Pieter Leonard Kubben, Uzay Kaymak:
Tremor assessment using smartphone sensor data and fuzzy reasoning. BMC Bioinform. 22-S(2): 57 (2021) - [j25]Marco S. Nobile, Vasco Coelho, Dario Pescini, Chiara Damiani:
Accelerated global sensitivity analysis of genome-wide constraint-based metabolic models. BMC Bioinform. 22-S(2): 78 (2021) - [j24]Marco S. Nobile, Paolo Cazzaniga, Daniele Ramazzotti:
Investigating the performance of multi-objective optimization when learning Bayesian Networks. Neurocomputing 461: 281-291 (2021) - [j23]Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Giulia Capitoli, Simone Spolaor, Leonardo Rundo, Giancarlo Mauri, Daniela Besozzi:
FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks. PLoS Comput. Biol. 17(9) (2021) - [j22]Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Matteo Mistri, Simone Galimberti, Ramona Woitek, Evis Sala, Giancarlo Mauri, Marco S. Nobile:
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images. J. Supercomput. 77(8): 8514-8531 (2021) - [c43]Daniele M. Papetti, Daniel A. Ashlock, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile:
If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions. CEC 2021: 1414-1422 - [c42]Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga:
The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data. CEC 2021: 1423-1430 - [c41]Simone Spolaor, Daniele M. Papetti, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile:
A comparison of multi-objective optimization algorithms to identify drug target combinations. CIBCB 2021: 1-8 - [c40]Elisa Perinot, Johannes Fritz, Leonida Fusani, Bernhard Voelkl, Marco S. Nobile:
Characterizing the flying behaviour of bird flocks with fuzzy reasoning. WILF 2021 - [i7]Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni:
Salp Swarm Optimization: a Critical Review. CoRR abs/2106.01900 (2021) - 2020
- [j21]Marco S. Nobile, Giuseppina Votta, Roberta Palorini, Simone Spolaor, Humberto De Vitto, Paolo Cazzaniga, Francesca Ricciardiello, Giancarlo Mauri, Lilia Alberghina, Ferdinando Chiaradonna, Daniela Besozzi:
Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells. Bioinform. 36(7): 2181-2188 (2020) - [j20]Luca Manzoni, Daniele M. Papetti, Paolo Cazzaniga, Simone Spolaor, Giancarlo Mauri, Daniela Besozzi, Marco S. Nobile:
Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling. Entropy 22(3): 285 (2020) - [j19]Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni:
Computational Intelligence for Life Sciences. Fundam. Informaticae 171(1-4): 57-80 (2020) - [j18]Simone Spolaor, Caro Fuchs, Paolo Cazzaniga, Uzay Kaymak, Daniela Besozzi, Marco S. Nobile:
Simpful: A User-Friendly Python Library for Fuzzy Logic. Int. J. Comput. Intell. Syst. 13(1): 1687-1698 (2020) - [j17]Simone Spolaor, Marco S. Nobile, Giancarlo Mauri, Paolo Cazzaniga, Daniela Besozzi:
Coupling Mechanistic Approaches and Fuzzy Logic to Model and Simulate Complex Systems. IEEE Trans. Fuzzy Syst. 28(8): 1748-1759 (2020) - [j16]Marco S. Nobile, Eric Nisoli, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi:
cuProCell: GPU-Accelerated Analysis of Cell Proliferation With Flow Cytometry Data. IEEE J. Biomed. Health Informatics 24(11): 3173-3181 (2020) - [c39]Chiara Gallese, Elena Falletti, Marco S. Nobile, Lucrezia Ferrario, Fabrizio Schettini, Emanuela Foglia:
Preventing litigation with a predictive model of COVID-19 ICUs occupancy. IEEE BigData 2020: 2111-2116 - [c38]Marco S. Nobile, Simone Spolaor, Paolo Cazzaniga, Daniele M. Papetti, Daniela Besozzi, Daniel A. Ashlock, Luca Manzoni:
Which random is the best random? A study on sampling methods in Fourier surrogate modeling. CEC 2020: 1-8 - [c37]Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Luca Manzoni:
Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess. CIBCB 2020: 1-8 - [c36]Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak:
pyFUME: a Python Package for Fuzzy Model Estimation. FUZZ-IEEE 2020: 1-8 - [c35]Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile:
On the automatic calibration of fully analogical spiking neuromorphic chips. IJCNN 2020: 1-8 - [c34]Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak:
A Graph Theory Approach to Fuzzy Rule Base Simplification. IPMU (1) 2020: 387-401 - [p2]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:
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study. Neural Approaches to Dynamics of Signal Exchanges 2020: 269-280
2010 – 2019
- 2019
- [j15]Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, Daniela Besozzi, Leonardo Rundo, Giancarlo Mauri, Marco S. Nobile:
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design. Appl. Soft Comput. 81 (2019) - [j14]Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Daniela Bossi, Paolo Cazzaniga, Luisa Lanfrancone, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi:
Modeling cell proliferation in human acute myeloid leukemia xenografts. Bioinform. 35(18): 3378-3386 (2019) - [j13]Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Pietro Liò, Ivan Merelli, Daniela Besozzi:
GenHap: a novel computational method based on genetic algorithms for haplotype assembly. BMC Bioinform. 20-S(4): 172:1-172:14 (2019) - [j12]Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Marco S. Nobile, Giorgio Russo, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Daniela Besozzi, Carmelo Militello:
A novel framework for MR image segmentation and quantification by using MedGA. Comput. Methods Programs Biomed. 176: 159-172 (2019) - [j11]Leonardo Rundo, Andrea Tangherloni, Marco S. Nobile, Carmelo Militello, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga:
MedGA: A novel evolutionary method for image enhancement in medical imaging systems. Expert Syst. Appl. 119: 387-399 (2019) - [j10]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:
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. Neurocomputing 365: 31-43 (2019) - [j9]Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi:
Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena. J. Comput. Sci. 30: 1-10 (2019) - [j8]Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri:
ginSODA: massive parallel integration of stiff ODE systems on GPUs. J. Supercomput. 75(12): 7844-7856 (2019) - [c33]Marco S. Nobile, Paolo Cazzaniga, Daniel A. Ashlock:
Dilation Functions in Global Optimization. CEC 2019: 2300-2307 - [c32]Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi:
ProCell: Investigating cell proliferation with Swarm Intelligence. CIBCB 2019: 1-8 - [c31]Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak:
A Swarm Intelligence Approach to Avoid Local Optima in Fuzzy C-Means Clustering. FUZZ-IEEE 2019: 1-6 - [c30]Leonardo Rundo, Andrea Tangherloni, Simone Galimberti, Paolo Cazzaniga, Ramona Woitek, Evis Sala, Marco S. Nobile, Giancarlo Mauri:
HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels. PaCT 2019: 304-318 - [c29]Simone Spolaor, Caro Fuchs, Uzay Kaymak, Marco S. Nobile:
A Novel Multi-objective Approach to Fuzzy Clustering. SSCI 2019: 850-857 - [p1]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:
Towards Human Cell Simulation. High-Performance Modelling and Simulation for Big Data Applications 2019: 221-249 - [i6]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:
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. CoRR abs/1903.12571 (2019) - [i5]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:
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. CoRR abs/1904.08254 (2019) - 2018
- [j7]Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Riccardo Colombo, Giancarlo Mauri, Gabriella Pasi:
Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization. Swarm Evol. Comput. 39: 70-85 (2018) - [c28]Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga:
Computational Intelligence for Parameter Estimation of Biochemical Systems. CEC 2018: 1-8 - [c27]Chiara Damiani, Dario Pescini, Marco S. Nobile:
Global Sensitivity Analysis of Constraint-Based Metabolic Models. CIBB 2018: 179-186 - [c26]Niccoló Totis, Andrea Tangherloni, Marco Beccuti, Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi, Marzio Pennisi, Francesco Pappalardo:
Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization. CIBB 2018: 187-202 - [c25]Marco Beccuti, Paolo Cazzaniga, Marzio Pennisi, Daniela Besozzi, Marco S. Nobile, Simone Pernice, Giulia Russo, Andrea Tangherloni, Francesco Pappalardo:
GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis. Euro-Par Workshops 2018: 626-637 - [c24]Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Liò:
High Performance Computing for Haplotyping: Models and Platforms. Euro-Par Workshops 2018: 650-661 - [c23]Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi:
Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena. ICCS (1) 2018: 678-693 - [c22]Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile:
GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. PDP 2018: 698-705 - [i4]Paolo Cazzaniga, Marco S. Nobile, Daniele Ramazzotti:
Multi-objective optimization to explicitly account for model complexity when learning Bayesian Networks. CoRR abs/1808.01345 (2018) - 2017
- [j6]Marco S. Nobile, Paolo Cazzaniga, Andrea Tangherloni, Daniela Besozzi:
Graphics processing units in bioinformatics, computational biology and systems biology. Briefings Bioinform. 18(5): 870-885 (2017) - [j5]Leonard A. Harris, Marco S. Nobile, James C. Pino, Alexander L. R. Lubbock, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Carlos F. Lopez:
GPU-powered model analysis with PySB/cupSODA. Bioinform. 33(21): 3492-3494 (2017) - [j4]Andrea Tangherloni, Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga:
LASSIE: simulating large-scale models of biochemical systems on GPUs. BMC Bioinform. 18(1): 246 (2017) - [j3]Marco S. Nobile, Antonio E. Porreca, Simone Spolaor, Luca Manzoni, Paolo Cazzaniga, Giancarlo Mauri, Daniela Besozzi:
Efficient Simulation of Reaction Systems on Graphics Processing Units. Fundam. Informaticae 154(1-4): 307-321 (2017) - [j2]Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri:
Gillespie's Stochastic Simulation Algorithm on MIC coprocessors. J. Supercomput. 73(2): 676-686 (2017) - [c21]Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile:
Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems. CEC 2017: 1940-1947 - [c20]Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Paolo Cazzaniga, Marco S. Nobile:
Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance. CIBB 2017: 92-102 - [c19]Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga:
Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. CIBCB 2017: 1-8 - [c18]Marco S. Nobile, Giancarlo Mauri:
Accelerated Analysis of Biological Parameters Space Using GPUs. PaCT 2017: 70-81 - [i3]Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Marco Antoniotti:
Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models. CoRR abs/1703.03038 (2017) - [i2]Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi:
Learning the Probabilistic Structure of Cumulative Phenomena with Suppes-Bayes Causal Networks. CoRR abs/1703.03074 (2017) - [i1]Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Ivan Merelli, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Pietro Liò:
GenHap: A novel computational method based on genetic algorithms for haplotype assembly. PeerJ Prepr. 5: e3246 (2017) - 2016
- [c17]Marco S. Nobile, Andrea Tangherloni, Daniela Besozzi, Paolo Cazzaniga:
GPU-powered and settings-free parameter estimation of biochemical systems. CEC 2016: 32-39 - [c16]Fabio Cumbo, Marco S. Nobile, Chiara Damiani, Riccardo Colombo, Giancarlo Mauri, Paolo Cazzaniga:
COSYS: A Computational Infrastructure for Systems Biology. CIBB 2016: 82-92 - [c15]Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Marco Antoniotti:
Parallel implementation of efficient search schemes for the inference of cancer progression models. CIBCB 2016: 1-6 - [c14]Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga:
GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values. CIBCB 2016: 1-6 - 2015
- [c13]Marco S. Nobile, Hitoshi Iba:
A double swarm methodology for parameter estimation in oscillating Gene Regulatory Networks. CEC 2015: 2376-2383 - [c12]Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi:
The impact of particles initialization in PSO: Parameter estimation as a case in point. CIBCB 2015: 1-8 - [c11]Marco S. Nobile, Gabriella Pasi, Paolo Cazzaniga, Daniela Besozzi, Riccardo Colombo, Giancarlo Mauri:
Proactive Particles in Swarm Optimization: A self-tuning algorithm based on Fuzzy Logic. FUZZ-IEEE 2015: 1-8 - [c10]Paolo Cazzaniga, F. Ferrara, Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri:
Parallelizing Biochemical Stochastic Simulations: A Comparison of GPUs and Intel Xeon Phi Processors. PaCT 2015: 363-374 - 2014
- [j1]Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri:
GPU-accelerated simulations of mass-action kinetics models with cupSODA. J. Supercomput. 69(1): 17-24 (2014) - [c9]Marco S. Nobile, Andrea G. Citrolo, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri:
A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information. IEEE Congress on Evolutionary Computation 2014: 1014-1021 - [c8]Matteo Bellini, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Marco S. Nobile:
Simulation and Analysis of the Blood Coagulation Cascade Accelerated on GPU. PDP 2014: 590-593 - 2013
- [c7]Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri:
The foundation of Evolutionary Petri Nets. BioPPN@Petri Nets 2013: 60-74 - [c6]Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, Giancarlo Mauri:
Reverse engineering of kinetic reaction networks by means of Cartesian Genetic Programming and Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2013: 1594-1601 - [c5]Marco S. Nobile, Giancarlo Mauri:
Evolutionary inference of biochemical reaction networks accelerated on graphics processing units. HPCS 2013: 668-670 - [c4]Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini:
cupSODA: A CUDA-Powered Simulator of Mass-Action Kinetics. PaCT 2013: 344-357 - [c3]Daniela Besozzi, Giulio Caravagna, Paolo Cazzaniga, Marco S. Nobile, Dario Pescini, Alessandro Re:
GPU-powered Simulation Methodologies for Biological Systems. WIVACE 2013: 87-91 - 2012
- [c2]Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini:
A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series. EvoBIO 2012: 74-85 - [c1]Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini:
Estimating reaction constants in stochastic biological systems with a multi-swarm PSO running on GPUs. GECCO (Companion) 2012: 1421-1422
Coauthor Index
[c56] [j31] [j30] [c53] [j27] [c45] [j24] [j23] [j22] [c43] [c42] [c41] [j21] [j20] [j19] [j18] [j17] [j16] [c38] [c37] [c35] [j15] [j14] [j13] [j12] [j11] [j10] [j8] [c33] [c32] [c30] [i5] [j7] [c28] [c26] [c25] [c24] [c22] [i4] [j6] [j5] [j4] [j3] [j2] [c20] [c19] [i3] [i1] [c17] [c16] [c15] [c14] [c12] [c11] [c10] [j1] [c9] [c8] [c7] [c6] [c4] [c3] [c2] [c1]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
