Shankar Vembu

35 papers A* 1A 1Misc 2Journal 17Unranked 12
YearRankTypeTitle / Venue / Authors
2021 J jnl
A qualitative study of large-scale recommendation algorithms for biomedical knowledge bases.
Int. J. Digit. Libr.
Ehsan Noei, Tsahi Hayat, Jessica Perrie, Recep Colak, Yanqi Hao, Shankar Vembu, Kelly A. Lyons, Sam Molyneux
2020 J jnl
The evolutionary history of 2,658 cancers.
Nat.
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
2020 J jnl
Using error decay prediction to overcome practical issues of deep active learning for named entity recognition.
Mach. Learn.
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
2019 J jnl
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition.
CoRR
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
2017 J jnl
Implementing Recommendation Algorithms in a Large-Scale Biomedical Science Knowledge Base.
CoRR
Jessica Perrie, Yanqi Hao, Zack Hayat, Recep Colak, Kelly A. Lyons, Shankar Vembu, Sam Molyneux
2016 — conf
Interactive Learning from Multiple Noisy Labels.
ECML/PKDD (1)
Shankar Vembu, Sandra Zilles
2016 J jnl
Interactive Learning from Multiple Noisy Labels.
CoRR
Shankar Vembu, Sandra Zilles
2015 Misc conf
Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors.
Pacific Symposium on Biocomputing
Amit G. Deshwar, Shankar Vembu, Quaid Morris
2014 Misc conf
An Efficient Algorithm to Integrate Network and Attribute Data for Gene Function Prediction.
Pacific Symposium on Biocomputing
Shankar Vembu, Quaid Morris
2014 J jnl
Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors.
CoRR
Amit G. Deshwar, Shankar Vembu, Quaid Morris
2014 J jnl
Inferring clonal evolution of tumors from single nucleotide somatic mutations.
BMC Bioinform.
Wei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris
2014 J jnl
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors.
CoRR
Amit G. Deshwar, Shankar Vembu, Christina K. Yung, Gun Ho Jang, Lincoln Stein, Quaid Morris
2013 J jnl
Beam search algorithms for multilabel learning.
Mach. Learn.
Abhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan
2012 — conf
Dynamical SVM for Time Series Classification.
DAGM/OAGM Symposium
Ramón Huerta, Shankar Vembu, Mehmet K. Muezzinoglu, Alexander Vergara
2012 J jnl
Inhibition in Multiclass Classification.
Neural Comput.
Ramón Huerta, Shankar Vembu, José M. Amigó, Thomas Nowotny, Charles Elkan
2012 — conf
Learning and Inference in Probabilistic Classifier Chains with Beam Search.
ECML/PKDD (1)
Abhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan
2012 J jnl
Modeling the Clonal Evolution of Cancer from Next Generation Sequencing Data
CoRR
Wei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris
2012 J jnl
Predicting accurate probabilities with a ranking loss
CoRR
Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado
2012 A* conf
Predicting accurate probabilities with a ranking loss.
ICML
Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado
2012 J jnl
Probabilistic Structured Predictors
CoRR
Shankar Vembu, Thomas Gärtner, Mario Boley
2010 — conf
Automatic Model Adaptation for Complex Structured Domains.
ECML/PKDD (2)
Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth
2010 — ch.
Label Ranking Algorithms: A Survey.
Preference Learning
Shankar Vembu, Thomas Gärtner
2010 — —
Learning to predict combinatorial structures.
Shankar Vembu
2009 J jnl
Learning to Predict Combinatorial Structures
CoRR
Shankar Vembu
2009 — conf
MAP Structured Prediction by Sampling.
MLG/SRL@ILP
Shankar Vembu, Thomas Gärtner, Mario Boley
2009 — conf
On Structured Output Training: Hard Cases and an Efficient Alternative.
ECML/PKDD (1)
Thomas Gärtner, Shankar Vembu
2009 J jnl
On structured output training: hard cases and an efficient alternative.
Mach. Learn.
Thomas Gärtner, Shankar Vembu
2009 A conf
Probabilistic Structured Predictors.
UAI
Shankar Vembu, Thomas Gärtner, Mario Boley
2007 J jnl
DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO).
J. Web Semant.
Daniel Oberle, Anupriya Ankolekar, Pascal Hitzler, Philipp Cimiano, Michael Sintek, Malte Kiesel, Babak Mougouie, Stephan Baumann, Shankar Vembu, Massimo Romanelli
2007 — conf
Semidefinite Ranking on Graphs.
MLG
Shankar Vembu, Thomas Gärtner, Stefan Wrobel
2006 — conf
Are we Ready to Embrace the Semantic Web?
Content-Based Retrieval
Shankar Vembu, Stephan Baumann
2006 — conf
On the Use of Topic Models for Word Completion.
FinTAL
Elisabeth Wolf, Shankar Vembu, Tristan Miller
2005 — conf
Separation of Vocals from Polyphonic Audio Recordings .
ISMIR
Shankar Vembu, Stephan Baumann
2004 — conf
A Self-Organizing Map Based Knowledge Discovery for Music Recommendation Systems.
CMMR
Shankar Vembu, Stephan Baumann
2004 — conf
Towards a Socio-cultural Compatibility of MIR Systems.
ISMIR
Stephan Baumann, Tim Pohle, Shankar Vembu