Marco S. Nobile
Orcid: 0000-0002-7692-7203
According to our database1,
Marco S. Nobile
authored at least 93 papers
between 2012 and 2023.
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Bibliography
2023
PLoS Comput. Biol., December, 2023
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning.
Frontiers Bioinform., May, 2023
Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies.
Expert Syst. Appl., April, 2023
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., February, 2023
IEEE Comput. Intell. Mag., February, 2023
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model.
CoRR, 2023
A Theoretical Framework for AI Models Explainability with Application in Biomedicine.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Investigating Semi-Automatic Assessment of Data Sets Fairness by Means of Fuzzy Logic.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Symmetry, 2022
Building Interpretable and Parsimonious Fuzzy Models using a Multi-Objective Approach.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
2021
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images.
J. Supercomput., 2021
FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks.
PLoS Comput. Biol., 2021
Investigating the performance of multi-objective optimization when learning Bayesian Networks.
Neurocomputing, 2021
Accelerated global sensitivity analysis of genome-wide constraint-based metabolic models.
BMC Bioinform., 2021
BMC Bioinform., 2021
Proceedings of WILF 2021, 2021
A comparison of multi-objective optimization algorithms to identify drug target combinations.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021
The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
IEEE J. Biomed. Health Informatics, 2020
Coupling Mechanistic Approaches and Fuzzy Logic to Model and Simulate Complex Systems.
IEEE Trans. Fuzzy Syst., 2020
Int. J. Comput. Intell. Syst., 2020
Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling.
Entropy, 2020
Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells.
Bioinform., 2020
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020
Which random is the best random? A study on sampling methods in Fourier surrogate modeling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the High-Performance Modelling and Simulation for Big Data Applications, 2019
J. Supercomput., 2019
Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena.
J. Comput. Sci., 2019
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.
Neurocomputing, 2019
Expert Syst. Appl., 2019
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study.
CoRR, 2019
Comput. Methods Programs Biomed., 2019
GenHap: a novel computational method based on genetic algorithms for haplotype assembly.
BMC Bioinform., 2019
Bioinform., 2019
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design.
Appl. Soft Comput., 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels.
Proceedings of the Parallel Computing Technologies, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Swarm Evol. Comput., 2018
Multi-objective optimization to explicitly account for model complexity when learning Bayesian Networks.
CoRR, 2018
GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018
Proceedings of the Computational Science - ICCS 2018, 2018
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018
GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018
Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
J. Supercomput., 2017
Fundam. Informaticae, 2017
Learning the Probabilistic Structure of Cumulative Phenomena with Suppes-Bayes Causal Networks.
CoRR, 2017
BMC Bioinform., 2017
Graphics processing units in bioinformatics, computational biology and systems biology.
Briefings Bioinform., 2017
Proceedings of the Parallel Computing Technologies, 2017
Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017
Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017
Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values.
Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016
Parallel implementation of efficient search schemes for the inference of cancer progression models.
Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Parallelizing Biochemical Stochastic Simulations: A Comparison of GPUs and Intel Xeon Phi Processors.
Proceedings of the Parallel Computing Technologies - 13th International Conference, PaCT 2015, Petrozavodsk, Russia, August 31, 2015
Proactive Particles in Swarm Optimization: A self-tuning algorithm based on Fuzzy Logic.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
The impact of particles initialization in PSO: Parameter estimation as a case in point.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015
A double swarm methodology for parameter estimation in oscillating Gene Regulatory Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
J. Supercomput., 2014
Proceedings of the 22nd Euromicro International Conference on Parallel, 2014
A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Proceedings of the Proceedings Wivace 2013, 2013
Proceedings of the Parallel Computing Technologies - 12th International Conference, 2013
Evolutionary inference of biochemical reaction networks accelerated on graphics processing units.
Proceedings of the International Conference on High Performance Computing & Simulation, 2013
Reverse engineering of kinetic reaction networks by means of Cartesian Genetic Programming and Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the International Workshop on Biological Processes & Petri Nets, 2013
2012
Estimating reaction constants in stochastic biological systems with a multi-swarm PSO running on GPUs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012