Shankar Vembu

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 7

Top Venues

CoRR

Mach. Learn.

ECML/PKDD (1)

Pacific Symposium on Biocomputing

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

Ehsan Noei, Tsahi Hayat, Jessica Perrie, Recep Colak, Yanqi Hao, Shankar Vembu, Kelly A. Lyons, Sam Molyneux
A qualitative study of large-scale recommendation algorithms for biomedical knowledge bases. Int. J. Digit. Libr. 22 (2) (2021)
Moritz 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
The evolutionary history of 2,658 cancers. Nat. 578 (7793) (2020)
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
Using error decay prediction to overcome practical issues of deep active learning for named entity recognition. Mach. Learn. 109 (9-10) (2020)
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition. CoRR (2019)
Jessica Perrie, Yanqi Hao, Zack Hayat, Recep Colak, Kelly A. Lyons, Shankar Vembu, Sam Molyneux
Implementing Recommendation Algorithms in a Large-Scale Biomedical Science Knowledge Base. CoRR (2017)
Shankar Vembu, Sandra Zilles
Interactive Learning from Multiple Noisy Labels. CoRR (2016)
Shankar Vembu, Sandra Zilles
Interactive Learning from Multiple Noisy Labels. ECML/PKDD (1) (2016)
Amit G. Deshwar, Shankar Vembu, Quaid Morris
Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors. Pacific Symposium on Biocomputing (2015)
Amit G. Deshwar, Shankar Vembu, Quaid Morris
Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors. CoRR (2014)
Amit G. Deshwar, Shankar Vembu, Christina K. Yung, Gun Ho Jang, Lincoln Stein, Quaid Morris
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors. CoRR (2014)
Shankar Vembu, Quaid Morris
An Efficient Algorithm to Integrate Network and Attribute Data for Gene Function Prediction. Pacific Symposium on Biocomputing (2014)
Wei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris
Inferring clonal evolution of tumors from single nucleotide somatic mutations. BMC Bioinform. 15 (2014)
Abhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan
Beam search algorithms for multilabel learning. Mach. Learn. 92 (1) (2013)
Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado
Predicting accurate probabilities with a ranking loss CoRR (2012)
Ramón Huerta, Shankar Vembu, José M. Amigó, Thomas Nowotny, Charles Elkan
Inhibition in Multiclass Classification. Neural Comput. 24 (9) (2012)
Shankar Vembu, Thomas Gärtner, Mario Boley
Probabilistic Structured Predictors CoRR (2012)
Abhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan
Learning and Inference in Probabilistic Classifier Chains with Beam Search. ECML/PKDD (1) (2012)
Wei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris
Modeling the Clonal Evolution of Cancer from Next Generation Sequencing Data CoRR (2012)
Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado
Predicting accurate probabilities with a ranking loss. ICML (2012)
Ramón Huerta, Shankar Vembu, Mehmet K. Muezzinoglu, Alexander Vergara
Dynamical SVM for Time Series Classification. DAGM/OAGM Symposium (2012)
Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth
Automatic Model Adaptation for Complex Structured Domains. ECML/PKDD (2) (2010)
Thomas Gärtner, Shankar Vembu
On structured output training: hard cases and an efficient alternative. Mach. Learn. 76 (2-3) (2009)
Shankar Vembu, Thomas Gärtner, Mario Boley
Probabilistic Structured Predictors. UAI (2009)
Shankar Vembu
Learning to Predict Combinatorial Structures CoRR (2009)
Thomas Gärtner, Shankar Vembu
On Structured Output Training: Hard Cases and an Efficient Alternative. ECML/PKDD (1) (2009)
Shankar Vembu, Thomas Gärtner, Stefan Wrobel
Semidefinite Ranking on Graphs. MLG (2007)
Daniel Oberle, Anupriya Ankolekar, Pascal Hitzler, Philipp Cimiano, Michael Sintek, Malte Kiesel, Babak Mougouie, Stephan Baumann, Shankar Vembu, Massimo Romanelli
DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO). J. Web Semant. 5 (3) (2007)
Shankar Vembu, Stephan Baumann
Are we Ready to Embrace the Semantic Web? Content-Based Retrieval (2006)
Elisabeth Wolf, Shankar Vembu, Tristan Miller
On the Use of Topic Models for Word Completion. FinTAL (2006)
Shankar Vembu, Stephan Baumann
Separation of Vocals from Polyphonic Audio Recordings . ISMIR (2005)
Shankar Vembu, Stephan Baumann
A Self-Organizing Map Based Knowledge Discovery for Music Recommendation Systems. CMMR (2004)
Stephan Baumann, Tim Pohle, Shankar Vembu
Towards a Socio-cultural Compatibility of MIR Systems. ISMIR (2004)

Shankar Vembu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Shankar Vembu