• 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 198 matches

• 2023
• 
  Sylvain Chabanet, Hind Bril El Haouzi, Michael Morin, Jonathan Gaudreault, Philippe Thomas:
  Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges. Int. J. Prod. Res. 61(7): 2190-2213 (2023)
• 
  Gaurav Jain, Basel Hindi, Connor Courtien, Conrad Wyrick, Xin Yi Therese Xu, Michael C. Malcolm, Brian A. Smith:
  Towards Accessible Sports Broadcasts for Blind and Low-Vision Viewers. CHI Extended Abstracts 2023: 287:1-287:7
• 
  Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones:
  A Comprehensive Investigation of Feature and Model Importance in Android Malware Detection. CoRR abs/2301.12778 (2023)
• 
  Francesco Fambri, E. Zampa, Saray Busto, Laura Río-Martín, Florian Hindenlang, Eric Sonnendrücker, Michael Dumbser:
  A well-balanced and exactly divergence-free staggered semi-implicit hybrid finite volume/finite element scheme for the incompressible MHD equations. CoRR abs/2305.06497 (2023)
• 2022
• 
  Ali Muzaffar, Hani Ragab Hassen, Michael A. Lones, Hind Zantout:
  An in-depth review of machine learning based Android malware detection. Comput. Secur. 121: 102833 (2022)
• 
  Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine, Michael S. Bernstein:
  A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 48:1-48:36 (2022)
• 
  Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
  AI Explainability 360: Impact and Design. AAAI 2022: 12651-12657
• 
  Heba El-Shimy, Hind Zantout, Michael A. Lones, Neamat El Gayar:
  A Review of Capsule Networks in Medical Image Analysis. ANNPR 2022: 65-80
• 
  Mahmoud El-Hindi, Michael Muma, Abdelhak M. Zoubir:
  Semi-Supervised Online Speaker Diarization using Vector Quantization with Alternative Codebooks. EUSIPCO 2022: 464-468
• 
  Michael Wan, Jian Peng, Tanmay Gangwani:
  Hindsight Foresight Relabeling for Meta-Reinforcement Learning. ICLR 2022
• 
  Akshay Hinduja, Yunsik Ohm, Jiahe Liao, Carmel Majidi, Michael Kaess:
  Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. IROS 2022: 5470-5477
• 
  Lennert Antson, Arthur Vandenhoeke, Michal Shimoni, Charles Hamesse, Hiep Luong:
  Detection and Tracking of Search and Rescue Personnel Under Hindered Light Conditions Using Hyperspectral Imaging. WHISPERS 2022: 1-6
• 
  David Piorkowski, John T. Richards, Michael Hind:
  Evaluating a Methodology for Increasing AI Transparency: A Case Study. CoRR abs/2201.13224 (2022)
• 
  Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine, Michael S. Bernstein:
  A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration. CoRR abs/2202.02484 (2022)
• 
  David Piorkowski, Michael Hind, John T. Richards:
  Quantitative AI Risk Assessments: Opportunities and Challenges. CoRR abs/2209.06317 (2022)
• 
  Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess:
  Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. CoRR abs/2209.11757 (2022)
• 
  P. D. Hinds, Michael V. Tretyakov:
  Neural variance reduction for stochastic differential equations. CoRR abs/2209.12885 (2022)
• 
  Akshay Hinduja, Yunsik Ohm, Jiahe Liao, Carmel Majidi, Michael Kaess:
  Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. CoRR abs/2210.01089 (2022)
• 
  Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko:
  Curiosity in hindsight. CoRR abs/2211.10515 (2022)
• 2021
• 
  John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic, Kush R. Varshney:
  A Human-Centered Methodology for Creating AI FactSheets. IEEE Data Eng. Bull. 44(4): 47-58 (2021)
• 
  Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling:
  Hindsight and Sequential Rationality of Correlated Play. AAAI 2021: 5584-5594
• 
  Vincent Martineau, Michael Morin, Jonathan Gaudreault, Philippe Thomas, Hind Bril El Haouzi:
  Neural Network Architectures and Feature Extraction for Lumber Production Prediction. Canadian Conference on AI 2021
• 
  Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
  AI Explainability 360 Toolkit. COMAD/CODS 2021: 376-379
• 
  Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald:
  Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. ICML 2021: 7818-7828
• 
  Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller:
  Data-efficient Hindsight Off-policy Option Learning. ICML 2021: 11340-11350
• 
  Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind:
  Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. PERSUASIVE 2021: 135-149
• 
  Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind:
  Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. CoRR abs/2101.12715 (2021)
• 
  Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald:
  Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. CoRR abs/2102.06973 (2021)
• 
  Michael Wan, Jian Peng, Tanmay Gangwani:
  Hindsight Foresight Relabeling for Meta-Reinforcement Learning. CoRR abs/2109.09031 (2021)
• 
  Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
  AI Explainability 360: Impact and Design. CoRR abs/2109.12151 (2021)

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