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Andrea Tangherloni
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2020 – today
- 2024
- [c19]Andrea Tangherloni, Vasco Coelho, Francesca M. Buffa, Paolo Cazzaniga:
A Modified EACOP Implementation for Real-Parameter Single Objective Optimization Problems. CEC 2024: 1-8 - 2023
- [j17]Daniele M. Papetti
, Andrea Tangherloni
, Davide Farinati
, Paolo Cazzaniga
, Leonardo Vanneschi
:
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. IEEE Comput. Intell. Mag. 18(1): 22-31 (2023) - [j16]Andrea Tangherloni
, Simone G. Riva
, Brynelle Myers, Francesca M. Buffa
, Paolo Cazzaniga
:
MAGNETO: Cell type marker panel generator from single-cell transcriptomic data. J. Biomed. Informatics 147: 104510 (2023) - [c18]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 - [c17]Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Francesca M. Buffa, Andrea Tangherloni
:
Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data. CIBCB 2023: 1-8 - 2022
- [j15]Mauro Castelli
, Luca Manzoni, Luca Mariot
, Marco S. Nobile, Andrea Tangherloni
:
Salp Swarm Optimization: A critical review. Expert Syst. Appl. 189: 116029 (2022) - [j14]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) - [c16]Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Andrea Tangherloni
:
A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data. CIBCB 2022: 1-8 - [c15]Andrea Tangherloni
, Simone G. Riva, Brynelle Myers, Paolo Cazzaniga:
Multi-objective Optimization for Marker Panel Identification in Single-cell Data. CIBCB 2022: 1-8 - 2021
- [j13]Andrea Tangherloni
, Federico Ricciuti, Daniela Besozzi, Pietro Liò
, Ana Cvejic:
Analysis of single-cell RNA sequencing data based on autoencoders. BMC Bioinform. 22(1): 309 (2021) - [j12]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) - [j11]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) - [c14]Simone G. Riva, Paolo Cazzaniga, Andrea Tangherloni
:
Integration of Multiple scRNA-Seq Datasets on the Autoencoder Latent Space. BIBM 2021: 2155-2162 - [c13]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 - [i4]Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni:
Salp Swarm Optimization: a Critical Review. CoRR abs/2106.01900 (2021) - 2020
- [j10]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) - [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
- [b1]Andrea Tangherloni:
High-Performance Computing to tackle complex problems in life sciences. University of Milan, Italy, 2019 - [j9]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) - [j8]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) - [j7]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) - [j6]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) - [j5]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) - [c12]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 - [p1]Leonardo Rundo
, Carmelo Militello
, Andrea Tangherloni
, Giorgio Russo, Roberto Lagalla, Giancarlo Mauri
, Maria Carla Gilardi, Salvatore Vitabile:
Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis. Quantifying and Processing Biomedical and Behavioral Signals 2019: 229-241 - [i3]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) - [i2]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
- [j4]Leonardo Rundo
, Carmelo Militello
, Andrea Tangherloni
, Giorgio Russo, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
:
NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique. Int. J. Imaging Syst. Technol. 28(1): 21-37 (2018) - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - 2017
- [j3]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) - [j2]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) - [j1]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) - [c6]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 - [c5]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 - [c4]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 - [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
- [c3]Marco S. Nobile, Andrea Tangherloni
, Daniela Besozzi, Paolo Cazzaniga:
GPU-powered and settings-free parameter estimation of biochemical systems. CEC 2016: 32-39 - [c2]Andrea Tangherloni
, Marco S. Nobile, Paolo Cazzaniga:
GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values. CIBCB 2016: 1-6 - [c1]Leonardo Rundo
, Andrea Tangherloni
, Carmelo Militello
, Maria Carla Gilardi, Giancarlo Mauri
:
Multimodal medical image registration using Particle Swarm Optimization: A review. SSCI 2016: 1-8
Coauthor Index
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last updated on 2024-08-21 21:31 CEST by the dblp team
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