• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 163 matches

• 2024
• 
  Nicoleta J. Economou-Zavlanos, Sophia Bessias, Michael P. Cary, Armando Bedoya, Benjamin Goldstein, John Eric Jelovsek, Cara O'Brien, Nancy Walden, Matthew Elmore, Amanda B. Parrish, Scott Elengold, Kay S. Lytle, Suresh Balu, Michael E. Lipkin, Afreen Idris Shariff, Michael Gao, David Leverenz, Ricardo Henao, David Y. Ming, David M. Gallagher, Michael J. Pencina, Eric G. Poon:
  Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. J. Am. Medical Informatics Assoc. 31(3): 705-713 (2024)
• 
  Chuan Hong, Molei Liu, Daniel Wojdyla, Jimmy Hickey, Michael J. Pencina, Ricardo Henao:
  Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance. J. Biomed. Informatics 149: 104532 (2024)
• 
  Wei A. Huang, Matthew Engelhard, Marika Coffman, Elliot D. Hill, Qin Weng, Abby Scheer, Gary Maslow, Ricardo Henao, Geraldine Dawson, Benjamin Alan Goldstein:
  A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis. J. Biomed. Informatics 157: 104711 (2024)
• 
  Hao Zhang, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, Lawrence Carin:
  Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6558-6569 (2024)
• 
  Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard:
  Adaptive Discretization for Event PredicTion (ADEPT). AISTATS 2024: 1351-1359
• 
  Meng Xia, Jonathan Wilson, Benjamin Goldstein, Ricardo Henao:
  Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources. ICML 2024
• 
  Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao:
  Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. NAACL-HLT (Findings) 2024: 4597-4612
• 
  Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao:
  Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy. CoRR abs/2404.07671 (2024)
• 
  Aaron T. Wang, Ricardo Henao, Lawrence Carin:
  Transformer In-Context Learning for Categorical Data. CoRR abs/2405.17248 (2024)
• 
  Mohd Ashhad, Ricardo Henao:
  Conditioning on Time is All You Need for Synthetic Survival Data Generation. CoRR abs/2405.17333 (2024)
• 2023
• 
  Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson:
  Enhancing early autism prediction based on electronic records using clinical narratives. J. Biomed. Informatics 144: 104390 (2023)
• 
  Meng Xia, Ricardo Henao:
  Reliable Active Learning via Influence Functions. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen Chandross, Michael J. Pencina, Lawrence Carin, Ricardo Henao:
  Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1666-1680 (2023)
• 
  Hao Zhang, Chaojie Wang, Zhengjue Wang, Zhibin Duan, Bo Chen, Mingyuan Zhou, Ricardo Henao, Lawrence Carin:
  Learning Hierarchical Document Graphs From Multilevel Sentence Relations. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4273-4285 (2023)
• 
  Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao:
  Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI 2023: 4729-4737
• 
  Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao:
  Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) 2023: 7449-7463
• 
  Ke Bai, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin:
  Estimating Total Correlation with Mutual Information Estimators. AISTATS 2023: 2147-2164
• 
  Rui Wang, Pengyu Cheng, Ricardo Henao:
  Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. AISTATS 2023: 4473-4485
• 
  Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner:
  An Effective Meaningful Way to Evaluate Survival Models. ICML 2023: 28244-28276
• 
  Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti:
  Neural Insights for Digital Marketing Content Design. KDD 2023: 4320-4332
• 
  Yamac Alican Isik, Paidamoyo Chapfuwa, Connor Davis, Ricardo Henao:
  Hawkes Process with Flexible Triggering Kernels. MLHC 2023: 308-320
• 
  Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao:
  Mitigating Test-Time Bias for Fair Image Retrieval. NeurIPS 2023
• 
  Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
  InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS 2023
• 
  Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
  Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV 2023: 6492-6502
• 
  Fanjie Kong, Yuan Li, Tanner Fiez, Shreya Chakrabarti, Ricardo Henao, Houssam Nassif:
  Neural Insights for Digital Marketing Content Design. CoRR abs/2302.01416 (2023)
• 
  Rui Wang, Pengyu Cheng, Ricardo Henao:
  Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. CoRR abs/2302.13136 (2023)
• 
  Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin:
  Open World Classification with Adaptive Negative Samples. CoRR abs/2303.05581 (2023)
• 
  Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao:
  Mitigating Test-Time Bias for Fair Image Retrieval. CoRR abs/2305.19329 (2023)
• 
  Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner:
  An Effective Meaningful Way to Evaluate Survival Models. CoRR abs/2306.01196 (2023)
• 
  Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
  InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR abs/2306.04933 (2023)

skipping 133 more matches