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MACHINE LEARNING and SOFT COMPUTING - MLSC : DISI : UNIGE

MLSC : The Machine Learning and Soft Computing research line at the Department of Computer and Information Sciences, University of Genova, Italy. All areas of Natural Computing with emphasis on soft computing techniques, machine learning methods, clustering. Applications to biomedical image segmentation, bioinformatics, decision support systems, optical character recognition, automatic processing of multilingual documents.

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MACHINE LEARNING and SOFT COMPUTING - MLSC : DISI : UNIGE | mlsc.disi.unige.it Reviews

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MLSC : The Machine Learning and Soft Computing research line at the Department of Computer and Information Sciences, University of Genova, Italy. All areas of Natural Computing with emphasis on soft computing techniques, machine learning methods, clustering. Applications to biomedical image segmentation, bioinformatics, decision support systems, optical character recognition, automatic processing of multilingual documents.

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MACHINE LEARNING and SOFT COMPUTING - MLSC : DISI : UNIGE | mlsc.disi.unige.it Reviews

https://mlsc.disi.unige.it

MLSC : The Machine Learning and Soft Computing research line at the Department of Computer and Information Sciences, University of Genova, Italy. All areas of Natural Computing with emphasis on soft computing techniques, machine learning methods, clustering. Applications to biomedical image segmentation, bioinformatics, decision support systems, optical character recognition, automatic processing of multilingual documents.

INTERNAL PAGES

mlsc.disi.unige.it

1

Shared farthest neighbours approach to clustering...

http://mlsc.disi.unige.it/projects/sfn/index.html

Shared farthest neighbour approach to clustering. The shared farthest neighbour approach to clustering is a method presented in a paper published on the Pattern Recognition. S Rovetta, F. Masulli. Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data. Volume 39, Issue 12 (December 2006). Pages: 2415-2425. ISSN:0031-3203. 101016/j.patcog.2006.06.021. This page includes additional material for the paper. List of additional material.

2

Segmentation with clustering

http://mlsc.disi.unige.it/projects/imt/index.html

Automatic segmentation of ultrasound images with clustering. The specific clustering methods used belong to the fuzzy clustering family and have been developed by the Machine Learning and Soft Computing group, Department of Computer and Information Sciences, University of Genova, Italy with funding from the Italian Ministry for University and Research. Figure 2 shows the result of applying the roiselect. Figure 3 is the output of the roiextract. Figure 4 is the output of the imtclus. Tool applied to the ...

3

HLA Typing tools

http://mlsc.disi.unige.it/projects/HLA/index.html

A decision support system for HLA genotyping with DNA microarrays. Description and case study. Fuzzy Basis Functions network - downloadable software. GB Ferrara, L. Delfino, F. Masulli, S. Rovetta, and R. Sensi. A fuzzy approach to image analysis in HLA typing using oligonucleotide microarrays. Fuzzy Sets and Systems. Volume 152, Issue 1 , 16 May 2005, Pages 37-48. DOI link: doi:10.1016/j.fss.2004.10.013.

4

MLSC software in R

http://mlsc.disi.unige.it/downloads/R/index.html

MLSC software in R. Ensembles for Regression and time series Analysis and Forecasting. Biclustering based on the possibilistic model. Kernelized version of possibilistic clustering.

5

Research topic - miRNA : MLSC : DISI : UNIGE

http://mlsc.disi.unige.it/projects/miRNA/index.html

MicroRNAs: computational target prediction and analysis with machine learning methods. Stefano Rovetta, p.i. (DISI). Maura E. Monville (DISI). DISI - Dept. of Computer and Information Sciences - University of Genova. Via Dodecaneso 35 - 16166 Genova (www.disi.unige.it) Tel: 39 010 353 6604 Fax: 39 010 353 6699. CROM - Oncology Research Centre of Mercogliano "Fiorentino Lo Vuolo". Via Ammiraglio Bianco - 83013 Mercogliano (Av) - Italy (http:/ www.cro-m.eu) Tel: 39 0825-1911711. Predictions should agree as...

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Links | DavideChicco.it

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Machine learning and bioinformatics at the Princess Margaret Cancer Centre, University of Toronto. Where I currently work. Michael M. Hoffman Lab. Princess Margaret Cancer Centre. University of Toronto, Machine Learning Group. Where I had my PhD program. Dipartimento di Elettronica e Informazione (DEI. Gruppo di Basi di Dati. Dipartimento d’Informatica e Scienze dell’Informazione (DISI). Gruppo di Machine Learning e Soft Computing. Universita’ di Genova). Universita’ di Genova). Leave a Reply Cancel reply.

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Machine Learning and Soft Computing at DISI. Welcome to the Machine Learning and Soft Computing website. This page documents the Machine Learning and Soft Computing research line at the Department of Computer and Information Sciences. Italy The maintainer of these pages is Stefano Rovetta. Ste (at) disi.unige.it. Page created by Stefano Rovetta. Home page: http:/ www.disi.unige.it/person/RovettaS. External collaborations; past members. Computational analysis and prediction of miRNAs.

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