Rómer Rosales

Computer Science · Physical Sciences

23h-index2.9kcitations56works0.02yr avg
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Research Topics

Machine Learning and Algorithms(12), Mobile Crowdsensing and Crowdsourcing(9), Human Pose and Action Recognition(8), Machine Learning and Data Classification(8), Video Surveillance and Tracking Methods(5)

Publications56 total

PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
arXiv (Cornell University)·2025Open Access
Product Ecosystem Optimization at LinkedIn
2019
KDD 2019 program chairs' welcome
2019
A State Transition Model for Mobile Notifications via Survival Analysis
2019· 11 citedOpen Access
Near Real-time Optimization of Activity-based Notifications
2018· 13 cited
Optimizing Email Volume For Sitewide Engagement
2017· 13 cited
Comparing Clustering with Pairwise and Relative Constraints
ACM Transactions on Knowledge Discovery from Data·2016· 12 cited
Dynamics of Large Multi-View Social Networks
2016· 10 citedOpen Access
Email Volume Optimization at LinkedIn
2016· 28 cited
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth
arXiv (Cornell University)·2016· 4 citedOpen Access
Active Learning from Relative Comparisons
IEEE Transactions on Knowledge and Data Engineering·2015· 9 cited
Discriminative Clustering with Relative Constraints
arXiv (Cornell University)·2014· 6 citedOpen Access
Simple and Scalable Response Prediction for Display Advertising
ACM Transactions on Intelligent Systems and Technology·2014· 320 cited
Active Metric Learning from Relative Comparisons
arXiv (Cornell University)·2014· 1 citedOpen Access
Active learning from uncertain crowd annotations
2014· 2 cited
Automatic ad format selection via contextual bandits
2013· 111 cited
Learning from multiple annotators with varying expertise
Machine Learning·2013· 190 citedOpen Access
Knowledge-Driven Medicine: A Machine Learning Approach
CRC Press, Inc. eBooks·2013
Learning Generative Models of Similarity Matrices
arXiv (Cornell University)·2012· 7 citedOpen Access
Active Learning from Multiple Knowledge Sources
International Conference on Artificial Intelligence and Statistics·2012· 30 cited
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Frequent Co-authors

Glenn Fung(19), Jennifer Dy(10), Stan Sclaroff(9), R. Bharat Rao(7), Shipeng Yu(7), Balaji Krishnapuram(5), Yan Yan(4), Harald Steck(4), Sriram Krishnan(4), Yuanli Pei(4), Xiaoli Z. Fern(4), Yan Yan(3), Faisal Farooq(3), Bharat Rao(3), Shaunak Chatterjee(3), Brendan J. Frey(3), Mark Schmidt(2), Eren Manavoglu(2), Ramanathan Subramanian(2), Rupesh Gupta(2)