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2010 – 2019
- 2018
[j13]Lauren J. McIver, Galeb Abu-Ali, Eric A. Franzosa
, Randall Schwager, Xochitl C. Morgan, Levi Waldron, Nicola Segata, Curtis Huttenhower:
bioBakery: a meta'omic analysis environment. Bioinform. 34(7): 1235-1237 (2018)- 2016
- [j12]Edoardo Pasolli, Duy Tin Truong, Faizan Malik, Levi Waldron, Nicola Segata:
Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights. PLoS Comput. Biol. 12(7) (2016) - 2015
- [j11]James Kaminski, Molly K. Gibson, Eric A. Franzosa, Nicola Segata, Gautam Dantas, Curtis Huttenhower:
High-Specificity Targeted Functional Profiling in Microbial Communities with ShortBRED. PLoS Comput. Biol. 11(12) (2015) - 2014
- [j10]Katherine Huang, Arthur Brady, Anup Mahurkar, Owen White, Dirk Gevers, Curtis Huttenhower, Nicola Segata:
MetaRef: a pan-genomic database for comparative and community microbial genomics. Nucleic Acids Res. 42(Database-Issue): 617-624 (2014) - 2013
- [j9]Omry Koren, Dan Knight, Antonio González, Levi Waldron, Nicola Segata, Rob Knight, Curtis Huttenhower, Ruth E. Ley:
A Guide to Enterotypes across the Human Body: Meta-Analysis of Microbial Community Structures in Human Microbiome Datasets. PLoS Comput. Biol. 9(1) (2013) - 2012
- [j8]Sarah Jane Delany, Nicola Segata, Brian Mac Namee:
Profiling instances in noise reduction. Knowl. Based Syst. 31: 28-40 (2012) - [j7]Sahar Abubucker, Nicola Segata, Johannes Goll, Alyxandria M. Schubert, Jacques Izard, Brandi L. Cantarel, Beltran Rodriguez-Mueller, Jeremy Zucker, Mathangi Thiagarajan, Bernard Henrissat, Owen White, Scott T. Kelley, Barbara A. Methé, Patrick D. Schloss, Dirk Gevers, Makedonka Dautova Mitreva, Curtis Huttenhower:
Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome. PLoS Comput. Biol. 8(6) (2012) - [j6]Karoline Faust, Jarupon Fah Sathirapongsasuti, Jacques Izard, Nicola Segata, Dirk Gevers, Jeroen Raes, Curtis Huttenhower:
Microbial Co-occurrence Relationships in the Human Microbiome. PLoS Comput. Biol. 8(7) (2012) - 2011
- [j5]Nicola Segata, Enrico Blanzieri:
Operators for transforming kernels into quasi-local kernels that improve SVM accuracy. J. Intell. Inf. Syst. 37(2): 155-186 (2011) - 2010
- [j4]Nicola Segata, Enrico Blanzieri, Sarah Jane Delany, Padraig Cunningham:
Noise reduction for instance-based learning with a local maximal margin approach. J. Intell. Inf. Syst. 35(2): 301-331 (2010) - [j3]Nicola Segata, Enrico Blanzieri:
Fast and Scalable Local Kernel Machines. J. Mach. Learn. Res. 11: 1883-1926 (2010) - [c4]Mikalai Krapivin, Aliaksandr Autayeu, Maurizio Marchese, Enrico Blanzieri, Nicola Segata:
Keyphrases Extraction from Scientific Documents: Improving Machine Learning Approaches with Natural Language Processing. ICADL 2010: 102-111
2000 – 2009
- 2009
- [b1]Nicola Segata:
Local Approaches for Fast, Scalable and Accurate Learning with Kernels. University of Trento, Italy, 2009 - [c3]Nicola Segata, Enrico Blanzieri, Padraig Cunningham:
A Scalable Noise Reduction Technique for Large Case-Based Systems. ICCBR 2009: 328-342 - [c2]Nicola Segata, Enrico Blanzieri:
Fast Local Support Vector Machines for Large Datasets. MLDM 2009: 295-310 - 2008
- [j2]Nicola Segata, Enrico Blanzieri, Corrado Priami:
Towards the integration of computational systems biology and high-throughput data: supporting differential analysis of microarray gene expression data. J. Integr. Bioinform. 5(1) (2008) - [j1]Nicola Segata, Enrico Blanzieri:
Stochastic pi-Calculus Modelling of Multisite Phosphorylation Based Signaling: The PHO Pathway in Saccharomyces Cerevisiae. Trans. Comp. Sys. Biology 10: 163-196 (2008) - 2005
- [c1]Stefano Messelodi, Carla Maria Modena, Nicola Segata, Michele Zanin:
A Kalman Filter Based Background Updating Algorithm Robust to Sharp Illumination Changes. ICIAP 2005: 163-170
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