• 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 291 matches

• 2024
• 
  Terrence R. Ernst, John D. Blischak, Paul Nordlund, Joe Dalen, Justin Moore, Akshay Bhamidipati, Pankaj Dwivedi, Joe LoGrasso, Marco Rocha Curado, Brett Warren Engelmann:
  OmicNavigator: open-source software for the exploration, visualization, and archival of omic studies. BMC Bioinform. 25(1): 162 (2024)
• 
  Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa:
  Computing Education in the Era of Generative AI. Commun. ACM 67(2): 56-67 (2024)
• 
  Ben Baker, Tony Liu, Jordan Matelsky, Felipe Parodi, Brett Mensh, John W. Krakauer, Konrad P. Kording:
  Computational kinematics of dance: distinguishing hip hop genres. Frontiers Robotics AI 11 (2024)
• 
  Amir Gandomi, Eusha Hasan, Jesse Chusid, Subroto Paul, Matthew Inra, Alex Makhnevich, Suhail Raoof, Gerard Silvestri, Brett C. Bade, Stuart L. Cohen:
  Evaluating the accuracy of lung-RADS score extraction from radiology reports: Manual entry versus natural language processing. Int. J. Medical Informatics 191: 105580 (2024)
• 
  Flavia Bonomo-Braberman, Nick Brettell, Andrea Munaro, Daniël Paulusma:
  Solving problems on generalized convex graphs via mim-width. J. Comput. Syst. Sci. 140: 103493 (2024)
• 
  James Prather, Brent N. Reeves, Paul Denny, Brett A. Becker, Juho Leinonen, Andrew Luxton-Reilly, Garrett B. Powell, James Finnie-Ansley, Eddie Antonio Santos:
  "It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers. ACM Trans. Comput. Hum. Interact. 31(1): 4:1-4:31 (2024)
• 
  Paul Denny, David H. Smith, Max Fowler, James Prather, Brett A. Becker, Juho Leinonen:
  Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills. ITiCSE (1) 2024
• 
  Lauren E. Margulieux, James Prather, Brent N. Reeves, Brett A. Becker, Gozde Cetin Uzun, Dastyni Loksa, Juho Leinonen, Paul Denny:
  Self-Regulation, Self-Efficacy, and Fear of Failure Interactions with How Novices Use LLMs to Solve Programming Problems. ITiCSE (1) 2024
• 
  Son Thai Le, Guilhem De Valicourt, Pete Pupalaikis, Randy Giles, Marco Lamponi, Lukas Elsinger, Shawn Liu, Brett Sawyer, Jon Proesel, Eugene Ho, Karen Liu, Glen Homsey, Joseph Lopez, Zhiqui Zhu, Steve Corteselli, Laurent Alloin, Chris Daunt, Mark Ferriss, Behzad Rahmani, Fred Warning, Ashok Bruno, Siamak Abbaslou, Mehdi Zaman, Zeyu Pan, George Fischer, Paul Haigh, Gannon Reichert, Alexander Gazman, Faezeh Fesharaki, Peter Winzer:
  1.6-Tbps Low-Power Linear-Drive High-Density Optical Interface (HDI/O) for ML/AI. OFC 2024: 1-3
• 
  Paul Denny, Juho Leinonen, James Prather, Andrew Luxton-Reilly, Thezyrie Amarouche, Brett A. Becker, Brent N. Reeves:
  Prompt Problems: A New Programming Exercise for the Generative AI Era. SIGCSE (1) 2024: 296-302
• 
  Stephen MacNeil, Juho Leinonen, Paul Denny, Natalie Kiesler, Arto Hellas, James Prather, Brett A. Becker, Michel Wermelinger, Karen Reid:
  Discussing the Changing Landscape of Generative AI in Computing Education. SIGCSE (2) 2024: 1916
• 
  Seth Poulsen, Sami Sarsa, James Prather, Juho Leinonen, Brett A. Becker, Arto Hellas, Paul Denny, Brent N. Reeves:
  Solving Proof Block Problems Using Large Language Models. SIGCSE (1) 2024: 1063-1069
• 
  James Prather, Paul Denny, Juho Leinonen, David H. Smith IV, Brent N. Reeves, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly, Thezyrie Amarouche, Bailey Kimmel:
  Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models. CoRR abs/2401.10759 (2024)
• 
  Paul Denny, David H. Smith IV, Max Fowler, James Prather, Brett A. Becker, Juho Leinonen:
  Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills. CoRR abs/2403.06050 (2024)
• 
  Michelle R. Greene, Benjamin J. Balas, Mark D. Lescroart, Paul R. MacNeilage, Jennifer A. Hart, Kamran Binaee, Peter A. Hausamann, Ronald Mezile, Bharath Shankar, Christian B. Sinnott, Kaylie Jacleen Capurro, Savannah Halow, Hunter Howe, Mariam Josyula, Annie Li, Abraham Mieses, Amina Mohamed, Ilya Nudnou, Ezra Parkhill, Peter Riley, Brett Schmidt, Matthew W. Shinkle, Wentao Si, Brian Szekely, Joaquin M. Torres, Eliana Weissmann:
  The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video. CoRR abs/2404.18934 (2024)
• 
  Moein Khajehnejad, Forough Habibollahi, Aswin Paul, Adeel Razi, Brett Kagan:
  Biological Neurons Compete with Deep Reinforcement Learning in Sample Efficiency in a Simulated Gameworld. CoRR abs/2405.16946 (2024)
• 
  Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle:
  Does your data spark joy? Performance gains from domain upsampling at the end of training. CoRR abs/2406.03476 (2024)
• 
  Sydney Balboni, Grace Ivey, Brett Storoe, John Cisler, Tyge Plater, Caitlyn Grant, Ella Bruce, Benjamin Paulson:
  NourishNet: Proactive Severity State Forecasting of Food Commodity Prices for Global Warning Systems. CoRR abs/2407.00698 (2024)
• 
  Brent N. Reeves, James Prather, Paul Denny, Juho Leinonen, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly:
  Prompts First, Finally. CoRR abs/2407.09231 (2024)
• 2023
• 
  Itzy E. Morales Pantoja, Lena Smirnova, Alysson R. Muotri, Karl J. Wahlin, Jeffrey Kahn, J. Lomax Boyd, David H. Gracias, Timothy D. Harris, Tzahi Cohen-Karni, Brian S. Caffo, Alexander S. Szalay, Fang Han, Donald J. Zack, Ralph Etienne-Cummings, Akwasi Akwaboah, July Carolina Romero, Dowlette-Mary Alam El Din, Jesse D. Plotkin, Barton L. Paulhamus, Erik C. Johnson, Frederic Gilbert, J. Lowry Curley, Ben Cappiello, Jens C. Schwamborn, Eric J. Hill, Paul Roach, Daniel Tornero, Caroline Krall, Rheinallt Parri, Fenna Sillé, Andre Levchenko, Rabih E. Jabbour, Brett J. Kagan, Cynthia A. Berlinicke, Qi Huang, Alexandra Maertens, Kathrin Herrmann, Katya Tsaioun, Raha M. Dastgheyb, Christa Whelan Habela, Joshua T. Vogelstein, Thomas Hartung:
  First Organoid Intelligence (OI) workshop to form an OI community. Frontiers Artif. Intell. 6 (2023)
• 
  Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan:
  GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37(6): 683-705 (2023)
• 
  Henri Vähä-Ypyä, Jakob Bretterhofer, Pauliina Husu, Jana Windhaber, Tommi Vasankari, Sylvia Titze, Harri Sievänen:
  Performance of Different Accelerometry-Based Metrics to Estimate Oxygen Consumption during Track and Treadmill Locomotion over a Wide Intensity Range. Sensors 23(11): 5073 (2023)
• 
  James Finnie-Ansley, Paul Denny, Andrew Luxton-Reilly, Eddie Antonio Santos, James Prather, Brett A. Becker:
  My AI Wants to Know if This Will Be on the Exam: Testing OpenAI's Codex on CS2 Programming Exercises. ACE 2023: 97-104
• 
  Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein:
  Prospective Learning: Principled Extrapolation to the Future. CoLLAs 2023: 347-357
• 
  Nick Brettell, Jelle J. Oostveen, Sukanya Pandey, Daniël Paulusma, Erik Jan van Leeuwen:
  Computing Subset Vertex Covers in H-Free Graphs. FCT 2023: 88-102
• 
  Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite:
  Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? ICLR 2023
• 
  Paul Denny, Brett A. Becker, Juho Leinonen, James Prather:
  Chat Overflow: Artificially Intelligent Models for Computing Education - renAIssance or apocAIypse? ITiCSE (1) 2023: 3-4
• 
  James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
  The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. ITiCSE-WGR 2023: 108-159
• 
  James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michael E. Caspersen, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
  Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans. ITiCSE (2) 2023: 561-562
• 
  Brent N. Reeves, Sami Sarsa, James Prather, Paul Denny, Brett A. Becker, Arto Hellas, Bailey Kimmel, Garrett B. Powell, Juho Leinonen:
  Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations. ITiCSE (1) 2023: 299-305

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