Nicola Segata

发表

Fast Local Support Vector Machines for Large Datasets

Enrico Blanzieri, Nicola Segata, N. Segata, 2009, MLDM.

Towards the integration of computational systems biology and high-throughput data: supporting differential analysis of microarray gene expression data

Enrico Blanzieri, Corrado Priami, Nicola Segata, 2008, J. Integr. Bioinform..

Accessible, curated metagenomic data through ExperimentHub

Paolo Manghi, Edoardo Pasolli, Curtis Huttenhower, 2017 .

Keyphrases Extraction from Scientific Documents: Improving Machine Learning Approaches with Natural Language Processing

Enrico Blanzieri, Maurizio Marchese, Mikalai Krapivin, 2010, ICADL.

A Kalman Filter Based Background Updating Algorithm Robust to Sharp Illumination Changes

Stefano Messelodi, Carla Maria Modena, Michele Zanin, 2005, ICIAP.

QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science

Francesco Asnicar, Mingxun Wang, Pieter C. Dorrestein, 2018 .

bioBakery: a meta’omic analysis environment

Curtis Huttenhower, Levi Waldron, Nicola Segata, 2017, Bioinform..

Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights

Edoardo Pasolli, Levi Waldron, Duy Tin Truong, 2016, PLoS Comput. Biol..

Local SVM approaches for fast and accurate classification of remote-sensing images

Farid Melgani, Edoardo Pasolli, Enrico Blanzieri, 2012 .

Local Approaches for Fast, Scalable and Accurate Learning with Kernels

Nicola Segata, N. Segata, 2009 .

HMP16SData: Efficient Access to the Human Microbiome Project through Bioconductor

Levi Waldron, Curtis Huttenhower, Lori Shepherd, 2018 .

Profiling instances in noise reduction

Brian Mac Namee, Sarah Jane Delany, Nicola Segata, 2012, Knowl. Based Syst..

Noise reduction for instance-based learning with a local maximal margin approach

Enrico Blanzieri, Padraig Cunningham, Sarah Jane Delany, 2010, Journal of Intelligent Information Systems.

Stochastic pi-Calculus Modelling of Multisite Phosphorylation Based Signaling: The PHO Pathway in Saccharomyces Cerevisiae

Enrico Blanzieri, Nicola Segata, N. Segata, 2008, Trans. Comp. Sys. Biology.

MetaRef: a pan-genomic database for comparative and community microbial genomics

Arthur Brady, Curtis Huttenhower, Owen White, 2013, Nucleic Acids Res..

A Scalable Noise Reduction Technique for Large Case-Based Systems

Enrico Blanzieri, Padraig Cunningham, Nicola Segata, 2009, ICCBR.

Microbial Co-occurrence Relationships in the Human Microbiome

Curtis Huttenhower, Karoline Faust, Jeroen Raes, 2012, PLoS Comput. Biol..

Operators for transforming kernels into quasi-local kernels that improve SVM accuracy

Enrico Blanzieri, Nicola Segata, N. Segata, 2011, Journal of Intelligent Information Systems.

Validation of CFS classification with different data sources

Paolo Fontana, Enrico Blanzieri, Alessandra Giordani, 2006 .

FaLKM-lib v1.0: A Library for Fast Local Kernel Machines

Nicola Segata, N. Segata, 2009 .

Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome

Bernard Henrissat, Brandi L. Cantarel, Curtis Huttenhower, 2012, PLoS Comput. Biol..

High-Specificity Targeted Functional Profiling in Microbial Communities with ShortBRED

Curtis Huttenhower, Nicola Segata, Eric A. Franzosa, 2015, PLoS Comput. Biol..

Fast and Scalable Local Kernel Machines

Enrico Blanzieri, Nicola Segata, N. Segata, 2010, J. Mach. Learn. Res..

A Guide to Enterotypes across the Human Body: Meta-Analysis of Microbial Community Structures in Human Microbiome Datasets

Curtis Huttenhower, Rob Knight, Antonio Gonzalez, 2013, PLoS Comput. Biol..