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Publication search results
found 103 matches
- 2023
- Joseph Kannry:
Alert acceptance: are all acceptance rates the same? J. Am. Medical Informatics Assoc. 30(10): 1754 (2023) - Johny Renoald Albert, Kannan Ramasamy, V. Joseph Michael Jerard, Rajani Boddepalli, Gopinath Singaram, Anbarasu Loganathan:
A Symmetric Solar Photovoltaic Inverter to Improve Power Quality Using Digital Pulsewidth Modulation Approach. Wirel. Pers. Commun. 130(3): 2059-2097 (2023) - Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney:
Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data. KDD 2023: 3011-3021 - Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose S. Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, Chenghui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu:
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. NeurIPS 2023 - Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu:
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. CoRR abs/2311.03736 (2023) - 2022
- A. S. Anakath, R. Kannadasan, Niju P. Joseph, P. Boominathan, G. R. Sreekanth:
Insider Attack Detection Using Deep Belief Neural Network in Cloud Computing. Comput. Syst. Sci. Eng. 41(2): 479-492 (2022) - Anthony E. Solomonides, Eileen Koski, Shireen M. Atabaki, Scott Weinberg, John D. McGreevey, Joseph L. Kannry, Carolyn Petersen, Christoph U. Lehmann:
Defining AMIA's artificial intelligence principles. J. Am. Medical Informatics Assoc. 29(4): 585-591 (2022) - Teja Ganta, Stephanie Lehrman, Rachel Pappalardo, Irena Durkovic, Shira Lichtman, Damon Czarnecki, Brooke Tsembelis, Mark Liu, Joseph Kannry, Robbie Freeman, Mirhandi Arash Kia, Prathamesh Parchure, Hsin-Hui Huang, Alla Keyzner, Madhu Mazumdar, Aarti Bhardwaj, Cardinale Smith:
Oncologist Opinion and Use of a Machine Learning-Powered Clinical Decision Support System to Aid Serious Illness Conversations for Lung Cancer Patients. AMIA 2022 - Sunil Seoparson, Avniel Shetreat-Klein, Joseph L. Kannry, Sandeep Gangadharan:
Lessons learned from the implementation of 21st Century Cures Act in Pediatrics: When State and Federal Law Conflict. AMIA 2022 - Benjamin Hall, Joseph Kessler, Osayamen Edo-Ohanba, Jaired Collins, Haoxiang Zhang, Nick Allegreti, Ye Duan, Songjie Wang, Kannappan Palaniappan, Prasad Calyam:
Networked and Multimodal 3D Modeling of Cities for Collaborative Virtual Environments. BDCAT 2022: 204-212 - Hamed Pezeshki, Fabio Valerio Massoli, Arash Behboodi, Taesang Yoo, Arumugam Kannan, Mahmoud Taherzadeh Boroujeni, Qiaoyu Li, Tao Luo, Joseph B. Soriaga:
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods. GLOBECOM 2022: 776-781 - Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez:
Neurotoxin: Durable Backdoors in Federated Learning. ICML 2022: 26429-26446 - Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney:
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data. CoRR abs/2202.02842 (2022) - Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Joseph E. Gonzalez, Kannan Ramchandran, Prateek Mittal:
Neurotoxin: Durable Backdoors in Federated Learning. CoRR abs/2206.10341 (2022) - 2021
- Carolyn Petersen, Jeffery Smith, Robert R. Freimuth, Kenneth W. Goodman, Gretchen Purcell Jackson, Joseph L. Kannry, Hongfang Liu, Subha Madhavan, Dean F. Sittig, Adam Wright:
Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper. J. Am. Medical Informatics Assoc. 28(4): 677-684 (2021) - K. Joseph Shibu, K. Shankar, Ch. Kanna Babu, Girish K. Degaonkar:
Multi-Objective Optimization of a Maneuvering Small Aircraft Turbine Engine Rotor System. J. Intell. Robotic Syst. 103(4): 60 (2021) - Costas Mitsopoulos, Patrizio Di Micco, Eloy D. Villasclaras-Fernández, Daniela Dolciami, Esty Holt, Ioan L. Mica, Elizabeth A. Coker, Joseph E. Tym, James Campbell, Ka Hing Che, Bugra Ozer, Christos C. Kannas, Albert A. Antolin, Paul Workman, Bissan Al-Lazikani:
canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Res. 49(Database-Issue): D1074-D1082 (2021) - Zhengming Zhang, Yaoqing Yang, Zhewei Yao, Yujun Yan, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models. IEEE BigData 2021: 1214-1225 - Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Taxonomizing local versus global structure in neural network loss landscapes. NeurIPS 2021: 18722-18733 - Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Taxonomizing local versus global structure in neural network loss landscapes. CoRR abs/2107.11228 (2021) - 2020
- Joseph L. Kannry, Jeffery Smith, Vishnu Mohan, Bruce P. Levy, John T. Finnell, Christoph U. Lehmann:
Policy Statement on Clinical Informatics Fellowships and the Future of Informatics-Driven Medicine. Appl. Clin. Inform. 11(05): 710-713 (2020) - Natalie M. Pageler, Peter L. Elkin, Joseph L. Kannry, Michael G. Leu, Bruce P. Levy, Christoph U. Lehmann:
A Clinical Informatics Program Directors' Proposal to the American Board of Preventive Medicine. Appl. Clin. Inform. 11(03): 483-486 (2020) - Yaoqing Yang, Jichan Chung, Guanhua Wang, Vipul Gupta, Adarsh Karnati, Kenan Jiang, Ion Stoica, Joseph Gonzalez, Kannan Ramchandran:
Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost. ACSSC 2020: 1064-1065 - Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Boundary thickness and robustness in learning models. NeurIPS 2020 - Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Boundary thickness and robustness in learning models. CoRR abs/2007.05086 (2020) - 2019
- Tielman T. Van Vleck, Lili Chan, Steven G. Coca, Catherine K. Craven, Ron Do, Stephen B. Ellis, Joseph L. Kannry, Ruth J. F. Loos, Peter A. Bonis, Judy Cho, Girish N. Nadkarni:
Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression. Int. J. Medical Informatics 129: 334-341 (2019) - Elizabeth A. Coker, Costas Mitsopoulos, Joseph E. Tym, Angeliki Komianou, Christos C. Kannas, Patrizio Di Micco, Eloy D. Villasclaras-Fernández, Bugra Ozer, Albert A. Antolin, Paul Workman, Bissan Al-Lazikani:
canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Res. 47(Database-Issue): D917-D922 (2019) - Catherine K. Craven, Lina Jandorf, Cristina K. Villagra, Zeida Quintero-Canetti, Joseph L. Kannry, Bruce Darrow:
Mount Sinai Spanish-Language OpenNotes Navigator Program. AMIA 2019 - Thomas M. Schneider, Ila Singh, Bruce Darrow, Joseph L. Kannry:
Simpler is Better: Case Studies of Clinical Decision Support for Laboratory Utilization/Stewardship. AMIA 2019 - Christopher Tenore, Francesco Callipari, Michael Procino, Catherine K. Craven, Thomas Schneider, Joseph L. Kannry, Bruce Darrow:
Mount Sinai Health System Strategy for Conducting Electronic Health Record Use Optimization to Decrease Physician Frustration and Burnou. AMIA 2019
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