• 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 243 matches

• 2024
• 
  Hongchae Baek, Daniel Lockwood, Emmanuel C. Obusez, Matthew Poturalski, Jacqueline Chen, Sean J. Nagel, Stephen E. Jones:
  Validation of tremor measurements using quantified drawing analysis in patients with essential tremor or Parkinson's disease treated with MR-guided focused ultrasound thalamotomy. Biomed. Signal Process. Control. 92: 106085 (2024)
• 
  Thao Thi Ho, Minh Tam Tran, Xinguang Cui, Ching-Long Lin, Stephen Baek, Woojin Kim, Chang Hyun Lee, Gong Yong Jin, Kum Ju Chae, Sanghun Choi:
  Human-airway surface mesh smoothing based on graph convolutional neural networks. Comput. Methods Programs Biomed. 246: 108061 (2024)
• 
  Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Roscoe A. Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia A. Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson:
  A Cast of Thousands: How the IDEAS Productivity Project Has Advanced Software Productivity and Sustainability. Comput. Sci. Eng. 26(1): 48-60 (2024)
• 
  Ivan Bakhshayeshi, Eila Erfani, Firouzeh Rosa Taghikhah, Stephen Elbourn, Amin Beheshti, Mohsen Asadnia:
  An Intelligence Cattle Reidentification System Over Transport by Siamese Neural Networks and YOLO. IEEE Internet Things J. 11(2): 2351-2363 (2024)
• 
  Harry Coppock, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Kieran Baker, Jobie Budd, Richard Payne, Emma Karoune, David Hurley, Alexander Titcomb, Sabrina Egglestone, Ana Tendero Cañadas, Lorraine Butler, Radka Jersakova, Jonathon Mellor, Selina Patel, Tracey Thornley, Peter Diggle, Sylvia Richardson, Josef Packham, Björn W. Schuller, Davide Pigoli, Steven G. Gilmour, Stephen J. Roberts, Christopher C. Holmes:
  Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers. Nat. Mac. Intell. 6(2): 229-242 (2024)
• 
  Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills:
  Open Science and Educational Data Mining: Which Practices Matter Most? EDM 2024
• 
  Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep K. Seshadri, Yen Thi Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek:
  PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling. ICML 2024
• 
  Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger Baker Grosse:
  Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo. ICML 2024
• 
  Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch:
  Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. LAK 2024: 210-218
• 
  Stephen Hutt, Allison DePiro, Joann Wang, Sam Rhodes, Ryan Shaun Baker, Grayson Hieb, Sheela Sethuraman, Jaclyn Ocumpaugh, Caitlin Mills:
  Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback. LAK 2024: 55-65
• 
  Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song:
  Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs. USENIX ATC 2024: 699-713
• 
  Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song:
  FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design. CoRR abs/2401.14112 (2024)
• 
  Jacob K. Christopher, Stephen Baek, Ferdinando Fioretto:
  Projected Generative Diffusion Models for Constraint Satisfaction. CoRR abs/2402.03559 (2024)
• 
  Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep K. Seshadri, Yen Thi Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek:
  PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling. CoRR abs/2402.12503 (2024)
• 
  Stephen Casper, Jieun Yun, Joonhyuk Baek, Yeseong Jung, Minhwan Kim, Kiwan Kwon, Saerom Park, Hayden Moore, David Shriver, Marissa Connor, Keltin Grimes, Angus Nicolson, Arush Tagade, Jessica Rumbelow, Hieu Minh Nguyen, Dylan Hadfield-Menell:
  The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability. CoRR abs/2404.02949 (2024)
• 
  Ryan S. Baker, Nigel Bosch, Stephen Hutt, Andres Felipe Zambrano, Alex J. Bowers:
  On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem. CoRR abs/2404.06989 (2024)
• 
  Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger B. Grosse:
  Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo. CoRR abs/2404.17546 (2024)
• 
  Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager:
  Open Problems in Technical AI Governance. CoRR abs/2407.14981 (2024)
• 
  Job Snijders, Ben Maddison, Matthew Baker Lepinski, Derrick Kong, Stephen T. Kent:
  A Profile for Route Origin Authorizations (ROAs). RFC 9582: 1-15 (2024)
• 2023
• 
  Aysam Guerler, Dannon Baker, Marius van den Beek, Björn A. Grüning, Dave Bouvier, Nate Coraor, Stephen D. Shank, Jordan D. Zehr, Michael C. Schatz, Anton Nekrutenko:
  Fast and accurate genome-wide predictions and structural modeling of protein-protein interactions using Galaxy. BMC Bioinform. 24(1): 263 (2023)
• 
  Pall Asgeir Bjornsson, Alexander Baker, Ingmar Fleps, Yves Pauchard, Halldor Pálsson, Stephen J. Ferguson, Sigurdur Sigurdsson, Vilmundur Gudnason, Benedikt Helgason, Lotta Maria Ellingsen:
  Fast and robust femur segmentation from computed tomography images for patient-specific hip fracture risk screening. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(2): 253-265 (2023)
• 
  Parantapa Bhattacharya, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt, Joseph Outten, Abhijin Adiga, Andrew S. Warren, Young Yun Baek, Przemyslaw J. Porebski, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit, Stephen G. Eubank, Christopher L. Barrett, Madhav Vinayak Marathe:
  Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 37(1): 4-27 (2023)
• 
  Clara Belitz, Jaclyn Ocumpaugh, Steven Ritter, Ryan S. Baker, Stephen E. Fancsali, Nigel Bosch:
  Constructing categories: Moving beyond protected classes in algorithmic fairness. J. Assoc. Inf. Sci. Technol. 74(6): 663-668 (2023)
• 
  Anabil Munshi, Gautam Biswas, Ryan Baker, Jaclyn Ocumpaugh, Stephen Hutt, Luc Paquette:
  Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. J. Comput. Assist. Learn. 39(2): 351-368 (2023)
• 
  Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek:
  Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling. J. Comput. Inf. Sci. Eng. 23(6) (2023)
• 
  Dat Hong, Tong Wang, Stephen Baek:
  ProtoryNet - Interpretable Text Classification Via Prototype Trajectories. J. Mach. Learn. Res. 24: 264:1-264:39 (2023)
• 
  Alireza Shirvani, Stephen G. Ware, Lewis J. Baker:
  Personality and Emotion in Strong-Story Narrative Planning. IEEE Trans. Games 15(4): 669-682 (2023)
• 
  Dat Q. Duong, Tuan-Anh Tran, Phuong Nhi Nguyen Kieu, Tien K. Nguyen, Bao Le, Stephen Baker, Binh T. Nguyen:
  A Deep Learning Approach to Segment High-Content Images of the E. coli Bacteria. ACIVS 2023: 184-195
• 
  Nidhi Nasiar, Ryan Shaun Baker, Yishan Zou, Jiayi Zhang, Stephen Hutt:
  Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment. AIED (Posters/Late Breaking Results/...) 2023: 453-459
• 
  Miray Unlu Yazici, Malik Yousef, J. S. Marron, Burcu Bakir-Gungor:
  miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis. BIBM 2023: 3234-3240

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