Shankar Vembu - researchr alias

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Viewing Publication 1 - 26 from 26

2021

A qualitative study of large-scale recommendation algorithms for biomedical knowledge basesEhsan Noei, Tsahi Hayat, Jessica Perrie, Recep Colak, Yanqi Hao, Shankar Vembu, Kelly A. Lyons, Sam Molyneux. jodl, 22(2):197-215, 2021. [doi]

2020

Using error decay prediction to overcome practical issues of deep active learning for named entity recognitionHaw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum. ml, 109(9):1749-1778, 2020. [doi]

The evolutionary history of 2,658 cancersMoritz Gerstung, Clemency Jolly, Ignaty Leshchiner, Stefan C. Dentro, Santiago Gonzalez, Thomas J. Mitchell, Yulia Rubanova, Pavana Anur, Kaixian Yu, Maxime Tarabichi, Amit G. Deshwar, Jeff Wintersinger, Kortine Kleinheinz, Ignacio Vázquez-García, Kerstin Haase, Lara Jerman, Subhajit Sengupta, Geoff Macintyre, Salem Malikic, Nilgun Donmez, Dimitri G. Livitz, Marek Cmero, Jonas Demeulemeester, Steven E. Schumacher, Yu Fan, Xiaotong Yao, Juhee Lee, Matthias Schlesner, Paul C. Boutros, David D. L. Bowtell, Hongtu Zhu, Gad Getz, Marcin Imielinski, Rameen Beroukhim, Süleyman Cenk Sahinalp, Yuan Ji, Martin Peifer, Florian Markowetz, Ville Mustonen, Ke Yuan, Wenyi Wang, Quaid D. Morris, David J. Adams, Peter J. Campbell, Shaolong Cao, Elizabeth L. Christie, Yupeng Cun, Kevin J. Dawson, Ruben M. Drews, Roland Eils, Matthew Fittall, Dale W. Garsed, Gavin Ha, Henry Lee-Six, Iñigo Martincorena, Layla Oesper, Myron Peto, Benjamin J. Raphael, Daniel T. Rosebrock, Adriana Salcedo, Ruian Shi, Seung-Jun Shin, Oliver Spiro, Lincoln D. Stein, Shankar Vembu, David A. Wheeler, Tsun-Po Yang, Paul T. Spellman, David C. Wedge, Peter Van Loo. nature, 578(7793):122-128, 2020. [doi]

2016

Interactive Learning from Multiple Noisy LabelsShankar Vembu, Sandra Zilles. pkdd 2016: 493-508 [doi]

2015

Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of TumorsAmit G. Deshwar, Shankar Vembu, Quaid Morris. psb 2015: 20-31 [doi]

2014

Inferring clonal evolution of tumors from single nucleotide somatic mutationsWei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris. bmcbi, 15:35, 2014. [doi]

An Efficient Algorithm to Integrate Network and Attribute Data for Gene Function PredictionShankar Vembu, Quaid Morris. psb 2014: 388-399 [doi]

2013

Beam search algorithms for multilabel learningAbhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan. ml, 92(1):65-89, 2013. [doi]

2012

2010

Automatic Model Adaptation for Complex Structured DomainsGeoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth. pkdd 2010: 243-258 [doi]

Learning to predict combinatorial structuresShankar Vembu. PhD thesis, University of Bonn, 2010. [doi]

Label Ranking Algorithms: A SurveyShankar Vembu, Thomas Gärtner. In Johannes Fürnkranz, Eyke Hüllermeier, editors, Preference Learning. pages 45-64, Springer, 2010. [doi]

2009

2007

DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO)Daniel Oberle, Anupriya Ankolekar, Pascal Hitzler, Philipp Cimiano, Michael Sintek, Malte Kiesel, Babak Mougouie, Stephan Baumann, Shankar Vembu, Massimo Romanelli. ws, 5(3):156-174, 2007. [doi]

Semidefinite Ranking on GraphsShankar Vembu, Thomas Gärtner, Stefan Wrobel. mlg 2007: [doi]

2006

Are we Ready to Embrace the Semantic Web?Shankar Vembu, Stephan Baumann. Dagstuhl 2006: [doi]

On the Use of Topic Models for Word CompletionElisabeth Wolf, Shankar Vembu, Tristan Miller. fintal 2006: 500-511 [doi]

2005

Separation of Vocals from Polyphonic Audio Recordings Shankar Vembu, Stephan Baumann. ismir 2005: 337-344 [doi]

2004

Towards a Socio-cultural Compatibility of MIR SystemsStephan Baumann, Tim Pohle, Shankar Vembu. ismir 2004: [doi]

A Self-Organizing Map Based Knowledge Discovery for Music Recommendation SystemsShankar Vembu, Stephan Baumann. cmmr 2005: 119-129 [doi]

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