• 2023
• 
  Luke Kenworthy, Patrick W. Moore, Hrishikesh M. Rao, Laura J. Brattain, Kevin James, Thomas Heldt:
  Fatigue Assessment from Facial Videos using Deep Neural Networks and Engineered Features Informed by Domain Knowledge. EMBC 2023: 1-5
• 
  Vrushank Phadnis, Kristin Moore, Mar González-Franco:
  The Work Avatar Face-Off: Knowledge Worker Preferences for Realism in Meetings. ISMAR 2023: 960-969
• 
  Song Wei, Ronald Moore, Hanyu Zhang, Yao Xie, Rishikesan Kamaleswaran:
  Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer. CoRR abs/2305.09126 (2023)
• 2022
• 
  Fanny Sampurno, Christoph Kowalski, Sarah E. Connor, Anissa V. Nguyen, Àngels Pont Acuña, Chi-Fai Ng, Claire Foster, Günter Feick, Olatz Garin Boronat, Sebastian Dieng, Silvana Brglevska, Stephanie Ferrante, Steven Leung, Paul Villanti, Caroline M. Moore, Ian D. Graham, Jeremy Millar, Mark S. Litwin, Nathan Papa:
  Knowledge and insights from a maturing international clinical quality registry. J. Am. Medical Informatics Assoc. 29(5): 964-969 (2022)
• 
  Yun Hao, Joseph D. Romano, Jason H. Moore:
  Knowledge-guided deep learning models of drug toxicity improve interpretation. Patterns 3(9): 100565 (2022)
• 
  Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor Gabriel Leandro Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E. Cardenas S., Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
  OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. CoRR abs/2202.08303 (2022)
• 2021
• 
  Haiying Wang, Jack Murdoch Moore, Jun Wang, Michael Small:
  The distinct roles of initial transmission and retransmission in the persistence of knowledge in complex networks. Appl. Math. Comput. 392: 125730 (2021)
• 
  David Alan Grier:
  Forgetting Moore's Law [Body of Knowledge]. Computer 54(6): 46-48 (2021)
• 
  Sungeun An, Robert J. Moore, Eric Young Liu, Guang-Jie Ren:
  Recipient Design for Conversational Agents: Tailoring Agent's Utterance to User's Knowledge. CUI 2021: 30:1-30:5
• 
  Kinga Szarkowska, Véronique Moore, Pierre-Yves Vandenbussche, Paul Groth:
  Quality Assessment of Knowledge Graph Hierarchies using KG-BERT. DL4KG@ISWC 2021
• 
  Yanbo Guo, Chen Wang, Raymond M. Moore, Hongfang Liu, Feichen Shen:
  POKR: Building a Computable Heterogeneous Knowledge Resource for Precision Oncology. MedInfo 2021: 243-247
• 2020
• 
  Steven Moore, Huy Anh Nguyen, John C. Stamper:
  Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations. AIED (1) 2020: 398-410
• 
  Steven Moore, Huy Anh Nguyen, John C. Stamper:
  Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components. ICLS 2020
• 
  Steven Moore, Huy Anh Nguyen, John C. Stamper:
  Towards Crowdsourcing the Identification of Knowledge Components. L@S 2020: 245-248
• 
  Abdul Quamar, Chuan Lei, Dorian Miller, Fatma Ozcan, Jeffrey T. Kreulen, Robert J. Moore, Vasilis Efthymiou:
  An Ontology-Based Conversation System for Knowledge Bases. SIGMOD Conference 2020: 361-376
• 
  Aaron Babier, Binghao Zhang, Rafid Mahmood, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
  OpenKBP: The open-access knowledge-based planning grand challenge. CoRR abs/2011.14076 (2020)
• 2019
• 
  Haiying Wang, Jun Wang, Michael Small, Jack Murdoch Moore:
  Review mechanism promotes knowledge transmission in complex networks. Appl. Math. Comput. 340: 113-125 (2019)
• 
  Mustafa A. Al-Khawaldeh, Xi Chen, Philip R. Moore, Ibrahim Al-Naimi:
  Knowledge-based auto-configuration system using ubiquitous robotics for services delivery in smart home. Int. J. Embed. Syst. 11(2): 182-199 (2019)
• 
  Yongfeng Gao, Zhengrong Liang, William Moore, Hao Zhang, Marc Jason Pomeroy, John A. Ferretti, Thomas V. Bilfinger, Jianhua Ma, Hongbing Lu:
  A Feasibility Study of Extracting Tissue Textures From a Previous Full-Dose CT Database as Prior Knowledge for Bayesian Reconstruction of Current Low-Dose CT Images. IEEE Trans. Medical Imaging 38(8): 1981-1992 (2019)
• 2018
• 
  Yu Sang Chang, Jinsoo Lee, Yun Seok Jung:
  Are technology improvement rates of knowledge industries following Moore's law? An empirical study of microprocessor, mobile cellular, and genome sequencing technologies. Int. J. Technol. Manag. 78(3): 182-207 (2018)
• 
  Jing Huang, Rui Duan, Rebecca A. Hubbard, Yonghui Wu, Jason H. Moore, Hua Xu, Yong Chen:
  PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data. J. Am. Medical Informatics Assoc. 25(3): 345-352 (2018)
• 2016
• 
  Hao Zhang, Hao Han, Zhengrong Liang, Yifan Hu, Yan Liu, William Moore, Jianhua Ma, Hongbing Lu:
  Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images. IEEE Trans. Medical Imaging 35(3): 860-870 (2016)
• 
  Hao Zhang, Hao Han, Zhengrong Liang, Yifan Hu, Yan Liu, William Moore, Jianhua Ma, Hongbing Lu:
  Erratum to "Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images". IEEE Trans. Medical Imaging 35(6): 1587 (2016)
• 2015
• 
  Ting Hu, Christian Darabos, Maria E. Cricco, Emily Kong, Jason H. Moore:
  Genome-Wide Genetic Interaction Analysis of Glaucoma Using Expert Knowledge Derived from Human Phenotype Networks. Pacific Symposium on Biocomputing 2015: 207-218
• 2014
• 
  Yun Su, Bin Hu, Lixin Xu, Hanshu Cai, Philip Moore, Xiaowei Zhang, Jing Chen:
  EmotionO+: Physiological signals knowledge representation and emotion reasoning model for mental health monitoring. BIBM 2014: 529-535
• 
  Christian Darabos, Mario Giacobini, Jason H. Moore, Marco Tomassini:
  Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework. Evolution, Complexity and Artificial Life 2014: 43-57
• 2013
• 
  Sarah A. Pendergrass, Alex T. Frase, John R. Wallace, Daniel Wolfe, Neerja Katiyar, Carrie Moore, Marylyn D. Ritchie:
  Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. BioData Min. 6: 25 (2013)
• 
  Jie Tan, Jason H. Moore, Ryan J. Urbanowicz:
  Rapid Rule Compaction Strategies for Global Knowledge Discovery in a Supervised Learning Classifier System. ECAL 2013: 110-117
• 
  Arvis Sulovari, Jeff Kiralis, Jason H. Moore:
  Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease. EvoBIO 2013: 129-140
• 
  Sarah A. Pendergrass, Shefali S. Verma, Emily Rose Holzinger, Carrie Moore, John R. Wallace, Scott M. Dudek, Wayne Huggins, Terrie E. Kitchner, Carol Waudby, Richard L. Berg, Catherine A. McCarty, Marylyn D. Ritchie:
  Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit. Pacific Symposium on Biocomputing 2013: 147-158

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