Andrea Tangherloni

Orcid: 0000-0002-5856-4453

According to our database¹, Andrea Tangherloni authored at least 42 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

Forest-based Evolutionary Algorithm for Reconstructing Boolean Gene Regulatory Networks.

[BibT_eX]

[DOI]

Nicolò Stranieri

Francesca M. Buffa

Andrea Tangherloni

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

A Modified EACOP Implementation for Real-Parameter Single Objective Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

MAGNETO: Cell type marker panel generator from single-cell transcriptomic data.

[BibT_eX]

[DOI]

J. Biomed. Informatics, November, 2023

Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming.

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., February, 2023

Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks.

[BibT_eX]

[DOI]

Symmetry, 2022

Salp Swarm Optimization: A critical review.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Multi-objective Optimization for Marker Panel Identification in Single-cell Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Supercomput., 2021

FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

Analysis of single-cell RNA sequencing data based on autoencoders.

[BibT_eX]

[DOI]

BMC Bioinform., 2021

The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Integration of Multiple scRNA-Seq Datasets on the Autoencoder Latent Space.

[BibT_eX]

[DOI]

Simone G. Riva

Paolo Cazzaniga

Andrea Tangherloni

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study.

[BibT_eX]

[DOI]

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Computational Intelligence for Life Sciences.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2020

2019

Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis.

[BibT_eX]

[DOI]

Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

High-Performance Computing to tackle complex problems in life sciences.

[BibT_eX]

[DOI]

Andrea Tangherloni

PhD thesis, 2019

USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.

[BibT_eX]

[DOI]

Neurocomputing, 2019

MedGA: A novel evolutionary method for image enhancement in medical imaging systems.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study.

[BibT_eX]

[DOI]

CoRR, 2019

A novel framework for MR image segmentation and quantification by using MedGA.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2019

GenHap: a novel computational method based on genetic algorithms for haplotype assembly.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2019

HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels.

[BibT_eX]

[DOI]

Proceedings of the Parallel Computing Technologies, 2019

2018

NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2018

GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach.

[BibT_eX]

[DOI]

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

High Performance Computing for Haplotyping: Models and Platforms.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

Computational Intelligence for Parameter Estimation of Biochemical Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Gillespie's Stochastic Simulation Algorithm on MIC coprocessors.

[BibT_eX]

[DOI]

J. Supercomput., 2017

LASSIE: simulating large-scale models of biochemical systems on GPUs.

[BibT_eX]

[DOI]

BMC Bioinform., 2017

Graphics processing units in bioinformatics, computational biology and systems biology.

[BibT_eX]

[DOI]

Briefings Bioinform., 2017

Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Andrea Tangherloni

Leonardo Rundo

Marco S. Nobile

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Multimodal medical image registration using Particle Swarm Optimization: A review.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values.

[BibT_eX]

[DOI]

Andrea Tangherloni

Marco S. Nobile

Paolo Cazzaniga

Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016

GPU-powered and settings-free parameter estimation of biochemical systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Andrea Tangherloni

Timeline

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