Shankar Vembu

发表

Chemical gas sensor drift compensation using classifier ensembles

Shankar Vembu, Alexander Vergara, Margaret A. K. Ryan, 2012 .

DOLCE ergo SUMO: On Foundational and Domain Models in SWIntO (SmartWeb Integrated Ontology)

Paul Buitelaar, Norbert Reithinger, Daniel Sonntag, 2007 .

RNAcompete-S: Combined RNA sequence/structure preferences for RNA binding proteins derived from a single-step in vitro selection.

Kaitlin U Laverty, Kate B. Cook, T. Hughes, 2017, Methods.

PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors

Lincoln D. Stein, Q. Morris, Shankar Vembu, 2014, Genome Biology.

Towards Bridging the Semantic Gap in Multimedia Annotation and Retrieval

Michael Sintek, Shankar Vembu, Stephan Baumann, 2006 .

Pan-cancer analysis of whole genomes

Steven J. M. Jones, Nuno A. Fonseca, Icgc, 2020, Nature.

Data Mining using Matrices and Tensors ( DMMT ’ 08 )

Shankar Vembu, P. Kromer, 2008 .

Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig

Benjamin J. Raphael, Lincoln D. Stein, Dale W. Garsed, 2020, Nature Communications.

Inferring structural variant cancer cell fraction

Roland Eils, Yuan Ji, Jan Schröder, 2020, Nature Communications.

DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO)

Anupriya Ankolekar, Pascal Hitzler, Daniel Oberle, 2007, J. Web Semant..

On time series features and kernels for machine olfaction

Shankar Vembu, Alexander Vergara, Ramon Huerta, 2012 .

Separation of Vocals from Polyphonic Audio Recordings

Shankar Vembu, Stephan Baumann, Shankar Vembu, 2005, ISMIR.

Using error decay prediction to overcome practical issues of deep active learning for named entity recognition

A. McCallum, Shankar Vembu, Sunil Mohan, 2019, Machine Learning.

Patterns of somatic structural variation in human cancer genomes

Nuno A. Fonseca, Gary D Bader, Benjamin J. Raphael, 2020, Nature.

Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors

Shankar Vembu, Quaid Morris, Amit G. Deshwar, 2014, Pacific Symposium on Biocomputing.

Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

Nuno A. Fonseca, Gary D Bader, Benjamin J. Raphael, 2020, Nature Communications.

Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

Benjamin J. Raphael, Lincoln D. Stein, Dale W. Garsed, 2020, Cell.

PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors

Shankar Vembu, Lincoln Stein, Christina K. Yung, 2015, Genome Biology.

Neutral tumor evolution?

Benjamin J. Raphael, Florian Markowetz, Iñigo Martincorena, 2017, Nature Genetics.

Inferring clonal evolution of tumors from single nucleotide somatic mutations

Shankar Vembu, Lincoln Stein, Quaid Morris, 2012, BMC Bioinformatics.

A qualitative study of large-scale recommendation algorithms for biomedical knowledge bases

Ehsan Noei, Shankar Vembu, Kelly A. Lyons, 2021, International Journal on Digital Libraries.

Comprehensive molecular characterization of mitochondrial genomes in human cancers

Nuno A. Fonseca, Gary D Bader, Benjamin J. Raphael, 2017, bioRxiv.

Author Correction: Pan-cancer analysis of whole genomes

Nuno A. Fonseca, Gary D Bader, Benjamin J. Raphael, 2023, Nature.

Inhibition in Multiclass Classification

Charles Elkan, Shankar Vembu, José María Amigó, 2012, Neural Computation.

Sex differences in oncogenic mutational processes

Nuno A. Fonseca, Gary D Bader, Benjamin J. Raphael, 2019, Nature Communications.

Predicting accurate probabilities with a ranking loss

Xiaoqian Jiang, Lucila Ohno-Machado, Charles Elkan, 2012, ICML.

Using the Electronic Medical Record to Identify Patients at High Risk for Frequent Emergency Department Visits and High System Costs.

Shankar Vembu, Karen Tu, Quaid Morris, 2017, The American journal of medicine.

Beam search algorithms for multilabel learning

C. Elkan, A. Menon, Shankar Vembu, 2013, Machine Learning.

Automatic Model Adaptation for Complex Structured Domains

Gerald DeJong, Dan Roth, Shankar Vembu, 2010, ECML/PKDD.

On structured output training: hard cases and an efficient alternative

Thomas Gärtner, Shankar Vembu, Shankar Vembu, 2009, Machine Learning.

Label Ranking Algorithms: A Survey

Thomas Gärtner, Shankar Vembu, Shankar Vembu, 2010, Preference Learning.

Learning and Inference in Probabilistic Classifier Chains with Beam Search

Charles Elkan, Shankar Vembu, Aditya Krishna Menon, 2012, ECML/PKDD.

Implementing Recommendation Algorithms in a Large-Scale Biomedical Science Knowledge Base pdf

Shankar Vembu, Kelly A. Lyons, Jessica Perrie, 2017, ArXiv.

Learning to predict combinatorial structures pdf

Shankar Vembu, Shankar Vembu, 2009, ArXiv.

Probabilistic Structured Predictors

Thomas Gärtner, Shankar Vembu, Mario Boley, 2009, UAI.

The evolutionary history of 2,658 cancers

Benjamin J. Raphael, Salem Malikic, Martin Peifer, 2017, Nature.

A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

Nuno A. Fonseca, Benjamin J. Raphael, Allison P. Heath, 2020, Nature Communications.

Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition pdf

Andrew McCallum, Shankar Vembu, Haw-Shiuan Chang, 2019, ArXiv.

Reconstructing subclonal composition and evolution from whole genome sequencing of tumors

Lincoln D. Stein, Q. Morris, Shankar Vembu, 2014, bioRxiv.

A Self-Organizing Map Based Knowledge Discovery for Music Recommendation Systems

Shankar Vembu, Stephan Baumann, Shankar Vembu, 2004, CMMR.