Contact Information

Department of Computing Sciences
Bocconi University

Via Guglielmo Röntgen 1

20136 Milan, Italy

1d4064

Conference proceedings

2023

Riva SG, Myers B, Cazzaniga P, Buffa FM, Tangherloni A. Consensus clustering strategy for cell type assignments of scRNA-seq data. Proceeding of International Conference on Computational Intelligence in Bioinformatics and Computational Biology, pp. 1-8, IEEE


Coelho V, Papetti D, Tangherloni A, Cazzaniga P, Besozzi D, Nobile MS. The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. Proceeding of Congress on Evolutionary Computation, pp. 1-8, IEEE

 

 

2022

Tangherloni A, Riva SG, Myers B, Cazzaniga P. Multi-objective Optimization for Marker Panel Identification in Single-cell Data. Proceeding of Conference on Computational Intelligence in Bioinformatics and Computational Biology, 1-8, IEEE. DOI: 10.1109/CIBCB55180.2022.9863042

Riva SG, Myers B, Cazzaniga P, Tangherloni A. A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data. Proceeding of Conference on Computational Intelligence in Bioinformatics and Computational Biology, 1-8, IEEE.

DOI: 10.1109/CIBCB55180.2022.9863034

 

 

2021

Riva SG, Cazzaniga P, Tangherloni A. Integration of Multiple scRNA-Seq Datasets on the Autoencoder Latent Space. Proceeding of International Conference on Bioinformatics and Biomedicine, 1-8, IEEE.

 

Tangherloni A, Riva SG, Spolaor S, Besozzi D, Nobile MS, Cazzaniga P. The impact of representations in the optimization of marker panels for single-cell RNA data. Proceeding of Congress on Evolutionary Computation, 1-8, IEEE. DOI: 10.1109/CEC45853.2021.9504808

 

 

2020

Totis N*, Tangherloni A*, Beccuti M, Cazzaniga P, Nobile MS, Besozzi D, Pennisi M, Pappalardo F. Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization. In Computational Intelligence Methods for Bioinformatics and Biostatistics, Lecture Notes in Computer Science, 11925: 187-202, Springer.
DOI: 10.1007/978-3-030-34585-3_17 (* equal contribution)

 

 

2019

Rundo L*, Tangherloni A*, Galimberti S, Cazzaniga P, Woitek R, Sala E, Nobile MS, Mauri G. HaraliCU: GPU-powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels. In International Conference on Parallel Computing Technologies, Lecture Notes in Computer Science, 11657: 304-318, Springer.
DOI: 10.1007/978-3-030-25636-4_24 (* equal contribution)


Tangherloni A, Rundo L, Spolaor S, Nobile MS, Merelli I, Besozzi D, Mauri G, Cazzaniga P, Liò P. High Performance Computing for Haplotyping: Models and Platforms. In Euro-Par 2018: Parallel Processing Workshops, Lecture Notes in Computer Science, 11339: 650-661, Springer.
DOI: 10.1007/978-3-030-10549-5_51


Beccuti M, Cazzaniga P, Pennisi M, Besozzi D, Nobile MS, Pernice S, Russo G, Tangherloni A, Pappalardo F. GPU accelerated analysis of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis. In Euro-Par 2018: Parallel Processing Workshops, Lecture Notes in Computer Science, 11339: 626-637, Springer.
DOI: 10.1007/978-3-030-10549-5_49


Spolaor S, Tangherloni A, Rundo L, Cazzaniga P, Nobile MS. Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO’s Performance. In Computational Intelligence Methods for Bioinformatics and Biostatistics, Lecture Notes in Computer Science, 10834: 92-102, Springer.
DOI: 10.1007/978-3-030-14160-8_10

 

 

2018

Nobile MS, Tangherloni A, Rundo L, Spolaor S, Besozzi D, Mauri G, Cazzaniga P. Computational Intelligence for Parameter Estimation of Biochemical Systems. Proceeding of Congress on Evolutionary Computation, 1-8, IEEE.
DOI: 10.1109/CEC.2018.8477873

Tangherloni A, Rundo L, Spolaor S, Cazzaniga P, Nobile MS. GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. Proceeding of 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing, 698-705, IEEE.
DOI: 10.1109/PDP2018.2018.00115

 

 

2017

Spolaor S, Tangherloni A, Rundo L, Nobile MS, Cazzaniga P. Reboot Strategies in Particle Swarm Optimization and their Impact on Parameter Estimation of Biochemical Systems. Proceeding of International Conference on Computational Intelligence in Bioinformatics and Computational Biology, 1-8, IEEE. DOI: 10.1109/CIBCB.2017.8058550


Tangherloni A, Rundo L, Nobile MS. Proactive Particles in Swarm Optimization: a Settings-Free Algorithm for Real-Parameter Single Objective Optimization Problems. Proceeding of Congress on Evolutionary Computation, 1940-1947, IEEE. DOI: 10.1109/CEC.2017.7969538

 

 

2016

Rundo L, Tangherloni A, Militello C, Gilardi MC, Mauri G. Multimodal medical image registration using Particle Swarm Optimization: A review. Proceeding of Symposium Series on Computational Intelligence, 1-8, IEEE.
DOI: 10.1109/SSCI.2016.7850261


Tangherloni A, Nobile MS, Cazzaniga P. GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values. Proceeding of International Conference on Computational Intelligence in Bioinformatics and Computational Biology, 1-6, IEEE.
DOI: 10.1109/CIBCB.2016.7758103


Nobile MS, Tangherloni A, Besozzi D, Cazzaniga P. GPU-powered and settings-free parameter estimation of biochemical systems. Proceeding of Congress on Evolutionary Computation, pp. 32-39, IEEE.

DOI: 10.1109/CEC.2016.7743775

andrea.tangherloni@unibocconi.it

andrea.tangherloni@arubapec.it

+39 02 5836


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Research Interests

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