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Shankar Vembu
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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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last updated on 2023-10-01 22:31 CEST by the dblp team
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