3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actions. - Rómer Rosales; Stan Sclaroff (CVPR, 1999)

Inferring Body Pose without Tracking Body Parts. - Rómer Rosales; Stan Sclaroff (CVPR, 2000)

Learning and Synthesizing Human Body Motion and Posture. - Rómer Rosales; Stan Sclaroff (FG, 2000)

Specialized Mappings and the Estimation of Human Body Pose from a Single Image. - Rómer Rosales; Stan Sclaroff (Workshop on Human Motion, 2000)

Estimating 3D Body Pose using Uncalibrated Cameras. - Rómer Rosales; Matheen Siddiqui; Jonathan Alon; Stan Sclaroff (CVPR (1), 2001)

3D Hand Pose Reconstruction Using Specialized Mappings. - Rómer Rosales; Vassilis Athitsos; Leonid Sigal; Stan Sclaroff (ICCV, 2001)

Motion Mining. - Stan Sclaroff; George Kollios; Margrit Betke; Rómer Rosales (MDIC, 2001)

Learning Body Pose via Specialized Maps. - Rómer Rosales; Stan Sclaroff (NIPS, 2001)

Algorithms for Inference in Specialized Maps for Recovering 3D Hand Pose. - Rómer Rosales; Stan Sclaroff (FGR, 2002)

Unsupervised Image Translation. - Rómer Rosales; Kannan Achan; Brendan J. Frey (ICCV, 2003)

Learning Generative Models of Similarity Matrices. - Rómer Rosales; Brendan J. Frey (UAI, 2003)

A framework for heading-guided recognition of human activity. - Rómer Rosales; Stan Sclaroff (Comput. Vis. Image Underst., 2003)

Learning to cluster using local neighborhood structure. - Rómer Rosales; Kannan Achan; Brendan J. Frey (ICML, 2004)

Focused Inference. - Rómer Rosales; Tommi S. Jaakkola (AISTATS, 2005)

Learning Rankings via Convex Hull Separation. - Glenn Fung; Rómer Rosales; Balaji Krishnapuram (NIPS, 2005)

Learning sparse metrics via linear programming. - Rómer Rosales; Glenn Fung (KDD, 2006)

Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation. - Rómer Rosales; Stan Sclaroff (Int. J. Comput. Vis., 2006)

Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. - Mark Schmidt 001; Glenn Fung; Rómer Rosales (ECML, 2007)

Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text. - Rómer Rosales; Praveen Krishnamurthy; R. Bharat Rao (ICMLA, 2007)

Feature Selection and Kernel Design via Linear Programming. - Glenn Fung; Rómer Rosales; R. Bharat Rao (IJCAI, 2007)

Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. - Maleeha Qazi; Glenn Fung; Sriram Krishnan; Rómer Rosales; Harald Steck; R. Bharat Rao; Don Poldermans; Dhanalakshmi Chandrasekaran (IJCAI, 2007)

Bayesian Co-Training. - Shipeng Yu; Balaji Krishnapuram; Rómer Rosales; Harald Steck; R. Bharat Rao (NIPS, 2007)

Structure learning in random fields for heart motion abnormality detection. - Mark Schmidt 001; Kevin P. Murphy; Glenn Fung; Rómer Rosales (CVPR, 2008)

Privacy-preserving cox regression for survival analysis. - Shipeng Yu; Glenn Fung; Rómer Rosales; Sriram Krishnan; R. Bharat Rao; Cary Dehing-Oberije; Philippe Lambin (KDD, 2008)

Data-Efficient Information-Theoretic Test Selection. - Marianne Mueller; Rómer Rosales; Harald Steck; Sriram Krishnan; Bharat Rao; Stefan Kramer 001 (AIME, 2009)

Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. - Marianne Mueller; Rómer Rosales; Harald Steck; Sriram Krishnan; Bharat Rao; Stefan Kramer 001 (IDA, 2009)

Multi-Class Classifiers and their Underlying Shared Structure. - Volkan Vural; Glenn Fung; Rómer Rosales; Jennifer G. Dy (IJCAI, 2009)

Active Sensing. - Shipeng Yu; Balaji Krishnapuram; Rómer Rosales; R. Bharat Rao (AISTATS, 2009)

Medical coding classification by leveraging inter-code relationships. - Yan Yan 024; Glenn Fung; Jennifer G. Dy; Rómer Rosales (KDD, 2010)

Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. - Yan Yan 024; Rómer Rosales; Glenn Fung; Jennifer G. Dy (UAI, 2010)

Guest Editorial: Special Issue on impacting patient care by mining medical data. - Rómer Rosales; R. Bharat Rao (Data Min. Knowl. Discov., 2010)

Modeling annotator expertise: Learning when everybody knows a bit of something. - Yan Yan 024; Rómer Rosales; Glenn Fung; Mark Schmidt 001; Gerardo Hermosillo Valadez; Luca Bogoni; Linda Moy; Jennifer G. Dy (AISTATS, 2010)

Active Learning from Crowds. - Yan Yan 024; Rómer Rosales; Glenn Fung; Jennifer G. Dy (ICML, 2011)

Bayesian Co-Training. - Shipeng Yu; Balaji Krishnapuram; Rómer Rosales; R. Bharat Rao (J. Mach. Learn. Res., 2011)

Predictive Models in Personalized Medicine: Neural Information Processing Systems (NIPS), 2010 workshop report. - Faisal Farooq; Balaji Krishnapuram; Rómer Rosales; Shipeng Yu; Jude W. Shavlik; Raju Kucherlapati (SIGHIT Rec., 2011)

Post-click conversion modeling and analysis for non-guaranteed delivery display advertising. - Rómer Rosales; Haibin Cheng; Eren Manavoglu (WSDM, 2012)

Active Learning from Multiple Knowledge Sources. - Yan Yan 024; Rómer Rosales; Glenn Fung; Faisal Farooq; Bharat Rao; Jennifer G. Dy (AISTATS, 2012)

Automatic ad format selection via contextual bandits. - Liang Tang; Rómer Rosales; Ajit Singh; Deepak Agarwal (CIKM, 2013)

Active learning from uncertain crowd annotations. - Yan Yan 024; Rómer Rosales; Glenn Fung; Jennifer G. Dy (Allerton, 2014)

Active Metric Learning from Relative Comparisons. - Sicheng Xiong; Rómer Rosales; Yuanli Pei; Xiaoli Z. Fern (CoRR, 2014)

Learning from multiple annotators with varying expertise. - Yan Yan 024; Rómer Rosales; Glenn Fung; Subramanian Ramanathan; Jennifer G. Dy (Mach. Learn., 2014)

Simple and Scalable Response Prediction for Display Advertising. - Olivier Chapelle; Eren Manavoglu; Rómer Rosales (ACM Trans. Intell. Syst. Technol., 2014)

Discriminative Clustering with Relative Constraints. - Yuanli Pei; Xiaoli Z. Fern; Rómer Rosales; Teresa Vania Tjahja (CoRR, 2015)

Active Learning from Relative Comparisons. - Sicheng Xiong; Yuanli Pei; Rómer Rosales; Xiaoli Z. Fern (IEEE Trans. Knowl. Data Eng., 2015)

Email Volume Optimization at LinkedIn. - Rupesh Gupta; Guanfeng Liang; Hsiao-Ping Tseng; Ravi Kiran Holur Vijay; Xiaoyu Chen; Rómer Rosales (KDD, 2016)

Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay. - Yu Shi 002; Myunghwan Kim 002; Shaunak Chatterjee; Mitul Tiwari; Souvik Ghosh; Rómer Rosales (KDD, 2016)

Evaluating Crowdsourcing Participants in the Absence of Ground-Truth. - Ramanathan Subramanian; Rómer Rosales; Glenn Fung; Jennifer G. Dy (CoRR, 2016)

Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework. - Yuanli Pei; Xiaoli Z. Fern; Teresa Vania Tjahja; Rómer Rosales (ACM Trans. Knowl. Discov. Data, 2016)

Optimizing Email Volume For Sitewide Engagement. - Rupesh Gupta; Guanfeng Liang; Rómer Rosales (CIKM, 2017)

Near Real-time Optimization of Activity-based Notifications. - Yan Gao; Viral Gupta; Jinyun Yan; Changji Shi; Zhongen Tao; P. J. Xiao; Curtis Wang; Shipeng Yu; Rómer Rosales; Ajith Muralidharan; Shaunak Chatterjee (KDD, 2018)

Product Ecosystem Optimization at LinkedIn. - Rómer Rosales (KDD, 2019)

A State Transition Model for Mobile Notifications via Survival Analysis. - Yiping Yuan; Jing Zhang; Shaunak Chatterjee; Shipeng Yu; Rómer Rosales (WSDM, 2019)