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2020 – today
- 2022
[i6]Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales:
A State Transition Model for Mobile Notifications via Survival Analysis. CoRR abs/2207.03099 (2022)
2010 – 2019
- 2019
- [c40]Rómer Rosales:
Product Ecosystem Optimization at LinkedIn. KDD 2019: 3178 - [c39]Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales:
A State Transition Model for Mobile Notifications via Survival Analysis. WSDM 2019: 123-131 - [e1]Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis
:
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. ACM 2019, ISBN 978-1-4503-6201-6 [contents] - 2018
- [c38]Yan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, P. J. Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee:
Near Real-time Optimization of Activity-based Notifications. KDD 2018: 283-292 - 2017
- [c37]Rupesh Gupta, Guanfeng Liang, Rómer Rosales:
Optimizing Email Volume For Sitewide Engagement. CIKM 2017: 1947-1955 - 2016
- [j9]Yuanli Pei, Xiaoli Z. Fern, Teresa Vania Tjahja, Rómer Rosales:
Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework. ACM Trans. Knowl. Discov. Data 11(2): 22:1-22:26 (2016) - [c36]Rupesh Gupta, Guanfeng Liang, Hsiao-Ping Tseng, Ravi Kiran Holur Vijay, Xiaoyu Chen, Rómer Rosales:
Email Volume Optimization at LinkedIn. KDD 2016: 97-106 - [c35]Yu Shi, Myunghwan Kim, Shaunak Chatterjee, Mitul Tiwari, Souvik Ghosh, Rómer Rosales:
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay. KDD 2016: 1855-1864 - [i5]Ramanathan Subramanian, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth. CoRR abs/1605.09432 (2016) - 2015
- [j8]Sicheng Xiong, Yuanli Pei, Rómer Rosales, Xiaoli Z. Fern:
Active Learning from Relative Comparisons. IEEE Trans. Knowl. Data Eng. 27(12): 3166-3175 (2015) - [i4]Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales, Teresa Vania Tjahja:
Discriminative Clustering with Relative Constraints. CoRR abs/1501.00037 (2015) - 2014
- [j7]Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy:
Learning from multiple annotators with varying expertise. Mach. Learn. 95(3): 291-327 (2014) - [j6]Olivier Chapelle, Eren Manavoglu, Rómer Rosales:
Simple and Scalable Response Prediction for Display Advertising. ACM Trans. Intell. Syst. Technol. 5(4): 61:1-61:34 (2014) - [c34]Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Active learning from uncertain crowd annotations. Allerton 2014: 385-392 - [i3]Sicheng Xiong, Rómer Rosales, Yuanli Pei, Xiaoli Z. Fern:
Active Metric Learning from Relative Comparisons. CoRR abs/1409.4155 (2014) - 2013
- [c33]Liang Tang, Rómer Rosales, Ajit Singh, Deepak Agarwal:
Automatic ad format selection via contextual bandits. CIKM 2013: 1587-1594 - 2012
- [c32]Rómer Rosales, Haibin Cheng, Eren Manavoglu:
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising. WSDM 2012: 293-302 - [c31]Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy:
Active Learning from Multiple Knowledge Sources. AISTATS 2012: 1350-1357 - [i2]Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. CoRR abs/1203.3529 (2012) - [i1]Rómer Rosales, Brendan J. Frey:
Learning Generative Models of Similarity Matrices. CoRR abs/1212.2494 (2012) - 2011
- [j5]Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao:
Bayesian Co-Training. J. Mach. Learn. Res. 12: 2649-2680 (2011) - [j4]Faisal Farooq, Balaji Krishnapuram, Rómer Rosales, Shipeng Yu, Jude W. Shavlik, Raju Kucherlapati:
Predictive Models in Personalized Medicine: Neural Information Processing Systems (NIPS), 2010 workshop report. SIGHIT Rec. 1(1): 23-25 (2011) - [c30]Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Active Learning from Crowds. ICML 2011: 1161-1168 - 2010
- [j3]Rómer Rosales, R. Bharat Rao:
Guest Editorial: Special Issue on impacting patient care by mining medical data. Data Min. Knowl. Discov. 20(3): 325-327 (2010) - [c29]Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales:
Medical coding classification by leveraging inter-code relationships. KDD 2010: 193-202 - [c28]Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. UAI 2010: 674-682 - [c27]Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy:
Modeling annotator expertise: Learning when everybody knows a bit of something. AISTATS 2010: 932-939
2000 – 2009
- 2009
- [c26]Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer:
Data-Efficient Information-Theoretic Test Selection. AIME 2009: 410-415 - [c25]Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer:
Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. IDA 2009: 119-130 - [c24]Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy:
Multi-Class Classifiers and their Underlying Shared Structure. IJCAI 2009: 1267-1272 - [c23]Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao:
Active Sensing. AISTATS 2009: 639-646 - 2008
- [c22]Mark Schmidt, Kevin P. Murphy, Glenn Fung, Rómer Rosales:
Structure learning in random fields for heart motion abnormality detection. CVPR 2008 - [c21]Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin:
Privacy-preserving cox regression for survival analysis. KDD 2008: 1034-1042 - 2007
- [c20]Mark Schmidt, Glenn Fung, Rómer Rosales:
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. ECML 2007: 286-297 - [c19]Rómer Rosales, Praveen Krishnamurthy, R. Bharat Rao:
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text. ICMLA 2007: 530-536 - [c18]Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran:
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. IJCAI 2007: 519-525 - [c17]Glenn Fung, Rómer Rosales, R. Bharat Rao:
Feature Selection and Kernel Design via Linear Programming. IJCAI 2007: 786-791 - [c16]Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao:
Bayesian Co-Training. NIPS 2007: 1665-1672 - 2006
- [j2]Rómer Rosales, Stan Sclaroff:
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation. Int. J. Comput. Vis. 67(3): 251-276 (2006) - [c15]Rómer Rosales, Glenn Fung:
Learning sparse metrics via linear programming. KDD 2006: 367-373 - 2005
- [c14]Rómer Rosales, Tommi S. Jaakkola:
Focused Inference. AISTATS 2005: 317-324 - [c13]Glenn Fung, Rómer Rosales, Balaji Krishnapuram:
Learning Rankings via Convex Hull Separation. NIPS 2005: 395-402 - 2004
- [c12]Rómer Rosales, Kannan Achan, Brendan J. Frey:
Learning to cluster using local neighborhood structure. ICML 2004 - 2003
- [j1]Rómer Rosales, Stan Sclaroff:
A framework for heading-guided recognition of human activity. Comput. Vis. Image Underst. 91(3): 335-367 (2003) - [c11]Rómer Rosales, Kannan Achan, Brendan J. Frey:
Unsupervised Image Translation. ICCV 2003: 472-478 - [c10]Rómer Rosales, Brendan J. Frey:
Learning Generative Models of Similarity Matrices. UAI 2003: 485-492 - 2002
- [c9]Rómer Rosales, Stan Sclaroff:
Algorithms for Inference in Specialized Maps for Recovering 3D Hand Pose. FGR 2002: 143-148 - 2001
- [c8]Rómer Rosales, Matheen Siddiqui, Jonathan Alon, Stan Sclaroff:
Estimating 3D Body Pose using Uncalibrated Cameras. CVPR (1) 2001: 821-827 - [c7]Rómer Rosales, Vassilis Athitsos, Leonid Sigal, Stan Sclaroff:
3D Hand Pose Reconstruction Using Specialized Mappings. ICCV 2001: 378-387 - [c6]Stan Sclaroff, George Kollios, Margrit Betke, Rómer Rosales:
Motion Mining. MDIC 2001: 16-32 - [c5]Rómer Rosales, Stan Sclaroff:
Learning Body Pose via Specialized Maps. NIPS 2001: 1263-1270 - 2000
- [c4]Rómer Rosales, Stan Sclaroff:
Inferring Body Pose without Tracking Body Parts. CVPR 2000: 2721- - [c3]Rómer Rosales, Stan Sclaroff:
Learning and Synthesizing Human Body Motion and Posture. FG 2000: 506-511 - [c2]Rómer Rosales, Stan Sclaroff:
Specialized Mappings and the Estimation of Human Body Pose from a Single Image. Workshop on Human Motion 2000: 19-24
1990 – 1999
- 1999
- [c1]Rómer Rosales, Stan Sclaroff:
3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actions. CVPR 1999: 2117-2123
Coauthor Index
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last updated on 2024-08-21 21:31 CEST by the dblp team
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