• 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 177 matches

• 2024
• 
  Michael P. Wellman, Katherine Mayo:
  Navigating in a space of game views. Auton. Agents Multi Agent Syst. 38(2): 31 (2024)
• 
  Barry L. Jenkins, Warren Mayoss, Michael Zyda:
  Streamed Interactive Media: How Changing the Paradigm on Streaming Game Content Enables a New Media Category. Computer 57(6): 116-121 (2024)
• 
  Katherine Daftari, Michael L. Mayo, Bertrand H. Lemasson, James M. Biedenbach, Kevin R. Pilkiewicz:
  Probing Asymmetric Interactions with Time-Separated Mutual Information: A Case Study Using Golden Shiners. Entropy 26(9): 775 (2024)
• 
  Nicholas J. Russell, Kevin R. Pilkiewicz, Michael L. Mayo:
  The Dynamic Spatial Structure of Flocks. Entropy 26(3): 234 (2024)
• 
  Mackenzie J. Meni, Ryan T. White, Michael L. Mayo, Kevin R. Pilkiewicz:
  Entropy-based guidance of deep neural networks for accelerated convergence and improved performance. Inf. Sci. 681: 121239 (2024)
• 
  Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes:
  Feature extractor stacking for cross-domain few-shot learning. Mach. Learn. 113(1): 121-158 (2024)
• 
  Michael Mayowa Farayola, Malika Bendechache, Takfarinas Saber, Regina Connolly, Irina Tal:
  Enhancing Algorithmic Fairness: Integrative Approaches and Multi-Objective Optimization Application in Recidivism Models. ARES 2024: 114:1-114:10
• 
  Katherine Mayo, Nicholas Grabill, Michael P. Wellman:
  Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis. IJCAI 2024: 157-165
• 
  Shijia Feng, Michael Wray, Brian Sullivan, Youngkyoon Jang, Casimir J. H. Ludwig, Iain D. Gilchrist, Walterio W. Mayol-Cuevas:
  Are you Struggling? Dataset and Baselines for Struggle Determination in Assembly Videos. CoRR abs/2402.11057 (2024)
• 
  Yinan Zhao, Xavier Dumusque, Michael Cretignier, Andrew Collier Cameron, David W. Latham, Mercedes López-Morales, Michel Mayor, Alessandro Sozzetti, Rosario Cosentino, Isidro Gómez-Vargas, Francesco Pepe, Stéphane Udry:
  Improving Earth-like planet detection in radial velocity using deep learning. CoRR abs/2405.13247 (2024)
• 2023
• 
  Michael Mayowa Farayola, Irina Tal, Regina Connolly, Takfarinas Saber, Malika Bendechache:
  Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review. Inf. 14(8): 426 (2023)
• 
  Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster:
  Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Comput. 27(2): 28-34 (2023)
• 
  Kevin R. Pilkiewicz, Pratip Rana, Michael L. Mayo, Preetam Ghosh:
  Predicting Supramolecular Structure from the Statistics of Individual Molecular Events. Mob. Networks Appl. 28(2): 491-498 (2023)
• 
  Gabriel Riutort-Mayol, Paul-Christian Bürkner, Michael Riis Andersen, Arno Solin, Aki Vehtari:
  Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. Stat. Comput. 33(1): 17 (2023)
• 
  Michael Mayowa Farayola, Irina Tal, Malika Bendechache, Takfarinas Saber, Regina Connolly:
  Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques. ARES 2023: 76:1-76:10
• 
  Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi:
  Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. CLOUD 2023: 1-3
• 
  David Mayo, Tyler R. Scott, Mengye Ren, Gamaledin Elsayed, Katherine L. Hermann, Matt Jones, Michael Mozer:
  Multitask Learning Via Interleaving: A Neural Network Investigation. CogSci 2023
• 
  Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine L. Hermann, David Mayo, Michael Curtis Mozer:
  Learning in temporally structured environments. ICLR 2023
• 
  Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Victor Mayoral Vilches, Nikhil Jha, Hugo Zhan, Edith LLontop, Derek Xu, Camilo Buscaron, John Kubiatowicz, Ion Stoica, Joseph Gonzalez, Ken Goldberg:
  FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2. ICRA 2023: 5493-5500
• 
  Marek Rucinski, Anna Foks-Ryznar, Lluís Pesquer Mayos, Edyta Wozniak, Cristina Domingo-Marimon, Malgorzata Jenerowicz-Sanikowska, Michal Krupinski, Ewa Gromny, Sebastian Aleksandrowicz:
  The Multi-Temporal Relationship Between Sentinel-1 SAR Features and Sentinel-2 NDVI for Different Land Use / Land Cover Classes in Central Africa. IGARSS 2023: 325-328
• 
  Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi:
  Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. CoRR abs/2305.09856 (2023)
• 
  Mackenzie J. Meni, Ryan T. White, Michael L. Mayo, Kevin Pilkiewicz:
  Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance. CoRR abs/2308.14938 (2023)
• 
  Mackenzie J. Meni, Trupti Mahendrakar, Olivia D. M. Raney, Ryan T. White, Michael L. Mayo, Kevin Pilkiewicz:
  Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanations. CoRR abs/2311.01703 (2023)
• 
  Florian Hirner, Michael Streibl, Ahmet Can Mert, Sujoy Sinha Roy:
  A Hardware Implementation of MAYO Signature Scheme. IACR Cryptol. ePrint Arch. 2023: 1267 (2023)
• 2022
• 
  Tomas Koutny, Michael Mayo:
  Predicting glucose level with an adapted branch predictor. Comput. Biol. Medicine 145: 105388 (2022)
• 
  Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maíra Saboia da Silva, Benjamin Ramtoula, Seyed Abolfazl Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Hovhannes Melikyan, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick:
  NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge. Field Robotics 2(1): 1432-1506 (2022)
• 
  Mark Rodrigues, Michael Mayo, Panos Patros:
  Surgical Tool Datasets for Machine Learning Research: A Survey. Int. J. Comput. Vis. 130(9): 2222-2248 (2022)
• 
  Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster:
  Adaptive Edge-Cloud Environments for Rural AI. SCC 2022: 74-83
• 
  Hansi Gunasinghe, James McKelvie, Abigail M. Y. Koay, Michael Mayo:
  Domain Generalisation for Glaucoma Detection in Retinal Images from Unseen Fundus Cameras. ACIIDS (2) 2022: 421-433
• 
  Jesse Whitten, James McKelvie, Michael Mayo:
  Clinically-relevant Summarisation of Cataract Surgery Videos Using Deep Learning. ACIIDS (Companion) 2022: 711-723

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