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Author search results
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- Tim Miller 0001
aka: Timothy Miller 0001
University of Queensland, Brisbane, Australia - Timothy A. Miller
- Timothy S. Miller
- Timothy N. Miller
- Timothy Miller 0002
Harvard Medical School Boston, MA, USA
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Publication search results
found 431 matches
- 2024
- Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy A. Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar:
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. 31(6): 1291-1302 (2024) - Andrew J. McMurry, Daniel Gottlieb, Timothy A. Miller, James R. Jones, Ashish Atreja, Jennifer Crago, Pankaja M. Desai, Brian E. Dixon, Matthew Garber, Vladimir Ignatov, Lyndsey A Kirchner, Philip R. O. Payne, Anil J. Saldanha, Prabhu R. V. Shankar, Yauheni Solad, Elizabeth Sprouse, Michael Terry, Adam B. Wilcox, Kenneth D. Mandl:
Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence. J. Am. Medical Informatics Assoc. 31(8): 1638-1647 (2024) - Guillaume L. Giudicelli, Alexander D. Lindsay, Logan H. Harbour, Casey Icenhour, Mengnan Li, Joshua Hansel, Peter German, Patrick Behne, Oana Marin, Roy H. Stogner, Jason M. Miller, Daniel Schwen, Yaqi Wang, Lynn Munday, Sebastian Schunert, Benjamin W. Spencer, Dewen Yushu, Antonio M. Recuero, Zachary M. Prince, Max Nezdyur, Tianchen Hu, Yinbin Miao, Yeon Sang Jung, Christopher Matthews, April Novak, Brandon Langley, Timothy J. Truster, Nuno Nobre, Brian Alger, David Andrs, Fande Kong, Robert W. Carlsen, Andrew E. Slaughter, John W. Peterson, Derek Gaston, Cody J. Permann:
3.0 - MOOSE: Enabling massively parallel multiphysics simulations. SoftwareX 26: 101690 (2024) - Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg:
Towards the new XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence. CoRR abs/2402.01292 (2024) - Michelle L. Blom, Ronal Singh, Tim Miller, Liz Sonenberg, Kerry Trentelman, Adam Saulwick:
Explainable agency: human preferences for simple or complex explanations. CoRR abs/2403.12321 (2024) - Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman:
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. CoRR abs/2403.19511 (2024) - Daniel Hothem, Ashe Miller, Timothy Proctor:
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks. CoRR abs/2406.05636 (2024) - Thao Le, Tim Miller, Ruihan Zhang, Liz Sonenberg, Ronal Singh:
Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence. CoRR abs/2407.04710 (2024) - Mostafa Jamshidian, Benjamin Zwick, Arosha S. Dissanayake, Adam Wittek, Timothy J. Phillips, Stephen Honeybul, Graeme J. Hankey, Karol Miller:
An efficient pipeline to compute patient-specific cerebral aneurysm wall tension. CoRR abs/2407.05247 (2024) - Ronal Singh, Tim Miller, Liz Sonenberg, Eduardo Velloso, Frank Vetere, Piers Howe, Paul Dourish:
An Actionability Assessment Tool for Explainable AI. CoRR abs/2407.09516 (2024) - 2023
- Mor Vered, Tali Livni, Piers Douglas Lionel Howe, Tim Miller, Liz Sonenberg:
The effects of explanations on automation bias. Artif. Intell. 322: 103952 (2023) - Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy A. Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez:
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. Database J. Biol. Databases Curation 2023 (2023) - Vilde B. Gjærum, Inga Strümke, Jakob Løver, Timothy Miller, Anastasios M. Lekkas:
Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. Neurocomputing 515: 133-144 (2023) - Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller:
Improving model transferability for clinical note section classification models using continued pretraining. J. Am. Medical Informatics Assoc. 31(1): 89-97 (2023) - Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar:
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138: 104286 (2023) - Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar:
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics 142: 104346 (2023) - Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - Timothy J. Buschman, Earl K. Miller:
Working Memory Is Complex and Dynamic, Like Your Thoughts. J. Cogn. Neurosci. 35(1): 17-23 (2023) - Robert R. Hoffman, Tim Miller, Gary Klein, Shane T. Mueller, William J. Clancey:
Increasing the Value of XAI for Users: A Psychological Perspective. Künstliche Intell. 37(2): 237-247 (2023) - Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - Konrad Pieszko, Aakash D. Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J. H. Miller, Joanna X. Liang, Manish Motwani, Jacek Kwiecinski, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. npj Digit. Medicine 6 (2023) - Javad Roostaei, Yongli Z. Wager, Weisong Shi, Timothy Dittrich, Carol J. Miller, Kishore Gopalakrishnan:
IoT-based edge computing (IoTEC) for improved environmental monitoring. Sustain. Comput. Informatics Syst. 38: 100870 (2023) - Ronal Singh, Tim Miller, Henrietta Lyons, Liz Sonenberg, Eduardo Velloso, Frank Vetere, Piers Howe, Paul Dourish:
Directive Explanations for Actionable Explainability in Machine Learning Applications. ACM Trans. Interact. Intell. Syst. 13(4): 23:1-23:26 (2023) - Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg:
Explaining Model Confidence Using Counterfactuals. AAAI 2023: 11856-11864 - Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach:
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL 2023: 78-85 - Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller:
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL 2023: 125-130 - Lijing Wang, Yingya Li, Timothy A. Miller, Steven Bethard, Guergana Savova:
Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models. ACL (1) 2023: 15746-15761 - Abeer Alshehri, Tim Miller, Mor Vered:
Explainable Goal Recognition: A Framework Based on Weight of Evidence. ICAPS 2023: 7-16 - Guang Hu, Tim Miller, Nir Lipovetzky:
Planning with Multi-Agent Belief Using Justified Perspectives. ICAPS 2023: 180-188 - Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar:
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. BioNLP@ACL 2023: 461-467
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