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2020 – today
- 2021
[j8]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): 197-215 (2021)- 2020
- [j7]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): 1749-1778 (2020) - [j6]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): 122-128 (2020)
2010 – 2019
- 2019
- [i10]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 abs/1911.07335 (2019) - 2017
- [i9]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 abs/1710.08579 (2017) - 2016
- [c14]Shankar Vembu, Sandra Zilles:
Interactive Learning from Multiple Noisy Labels. ECML/PKDD (1) 2016: 493-508 - [i8]Shankar Vembu, Sandra Zilles:
Interactive Learning from Multiple Noisy Labels. CoRR abs/1607.06988 (2016) - 2015
- [c13]Amit G. Deshwar, Shankar Vembu, Quaid Morris:
Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors. Pacific Symposium on Biocomputing 2015: 20-31 - 2014
- [j5]Wei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris:
Inferring clonal evolution of tumors from single nucleotide somatic mutations. BMC Bioinform. 15: 35 (2014) - [c12]Shankar Vembu, Quaid Morris:
An Efficient Algorithm to Integrate Network and Attribute Data for Gene Function Prediction. Pacific Symposium on Biocomputing 2014: 388-399 - [i7]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 abs/1406.7250 (2014) - [i6]Amit G. Deshwar, Shankar Vembu, Quaid Morris:
Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors. CoRR abs/1408.2552 (2014) - 2013
- [j4]Abhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan:
Beam search algorithms for multilabel learning. Mach. Learn. 92(1): 65-89 (2013) - 2012
- [j3]Ramón Huerta, Shankar Vembu, José M. Amigó, Thomas Nowotny, Charles Elkan:
Inhibition in Multiclass Classification. Neural Comput. 24(9): 2473-2507 (2012) - [c11]Ramón Huerta, Shankar Vembu, Mehmet K. Muezzinoglu, Alexander Vergara:
Dynamical SVM for Time Series Classification. DAGM/OAGM Symposium 2012: 216-225 - [c10]Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado:
Predicting accurate probabilities with a ranking loss. ICML 2012 - [c9]Abhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan:
Learning and Inference in Probabilistic Classifier Chains with Beam Search. ECML/PKDD (1) 2012: 665-680 - [i5]Shankar Vembu, Thomas Gärtner, Mario Boley:
Probabilistic Structured Predictors. CoRR abs/1205.2610 (2012) - [i4]Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado:
Predicting accurate probabilities with a ranking loss. CoRR abs/1206.4661 (2012) - [i3]Wei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris:
Modeling the Clonal Evolution of Cancer from Next Generation Sequencing Data. CoRR abs/1210.3384 (2012) - 2010
- [b1]Shankar Vembu:
Learning to predict combinatorial structures. University of Bonn, 2010, pp. 1-110 - [c8]Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth:
Automatic Model Adaptation for Complex Structured Domains. ECML/PKDD (2) 2010: 243-258 - [p1]Shankar Vembu, Thomas Gärtner:
Label Ranking Algorithms: A Survey. Preference Learning 2010: 45-64
2000 – 2009
- 2009
- [j2]Thomas Gärtner, Shankar Vembu:
On structured output training: hard cases and an efficient alternative. Mach. Learn. 76(2-3): 227-242 (2009) - [c7]Thomas Gärtner, Shankar Vembu:
On Structured Output Training: Hard Cases and an Efficient Alternative. ECML/PKDD (1) 2009: 7 - [c6]Shankar Vembu, Thomas Gärtner, Mario Boley:
Probabilistic Structured Predictors. UAI 2009: 557-564 - [i2]Shankar Vembu:
Learning to Predict Combinatorial Structures. CoRR abs/0912.4473 (2009) - 2007
- [j1]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): 156-174 (2007) - [c5]Shankar Vembu, Thomas Gärtner, Stefan Wrobel:
Semidefinite Ranking on Graphs. MLG 2007 - 2006
- [c4]Elisabeth Wolf, Shankar Vembu, Tristan Miller:
On the Use of Topic Models for Word Completion. FinTAL 2006: 500-511 - [i1]Shankar Vembu, Stephan Baumann:
Are we Ready to Embrace the Semantic Web? Content-Based Retrieval 2006 - 2005
- [c3]Shankar Vembu, Stephan Baumann:
Separation of Vocals from Polyphonic Audio Recordings . ISMIR 2005: 337-344 - 2004
- [c2]Shankar Vembu, Stephan Baumann:
A Self-Organizing Map Based Knowledge Discovery for Music Recommendation Systems. CMMR 2004: 119-129 - [c1]Stephan Baumann, Tim Pohle, Shankar Vembu:
Towards a Socio-cultural Compatibility of MIR Systems. ISMIR 2004
Coauthor Index
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