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Publication search results
found 43 matches
- 2024
- Nicholas David Bowman, Daniel A. Bowen, Melissa C. Mercado, Lindsey Jean Resignato, Philippe de Villemor Chauveau:
"I did it without hesitation. Am I the bad guy?": Online conversations in response to controversial in-game violence. New Media Soc. 26(4): 2315-2335 (2024) - 2023
- Yihao Li, Pan Liu, W. Eric Wong, Nicholas Chau, Chih-Wei Hsu:
Alternative Ranking Distance Metrics for Fault-Focused Clustering in Parallel Fault Localization. Int. J. Perform. Eng. 19(10): 633 (2023) - Tsung-Ting Kuo, Anh Pham, Maxim E. Edelson, Jihoon Kim, Jason Chan, Yash Gupta, Lucila Ohno-Machado, David M. Anderson, Chandrasekar Balacha, Tyler Bath, Sally L. Baxter, Andrea Becker-Pennrich, Douglas S. Bell, Elmer V. Bernstam, Ngan Chau, Michele E. Day, Jason N. Doctor, Scott L. DuVall, Robert El-Kareh, Renato Florian, Robert W. Follett, Benjamin P. Geisler, Alessandro Ghigi, Assaf Gottlieb, Ludwig Christian G. Hinske, Zhaoxian Hu, Diana Ir, Xiaoqian Jiang, Katherine K. Kim, Tara K. Knight, Jejo D. Koola, Nelson Lee, Ulrich Mansmann, Michael E. Matheny, Daniella Meeker, Zongyang Mou, Larissa Neumann, Nghia H. Nguyen, Nick Anderson, Eunice Park, Paulina Paul, Mark J. Pletcher, Kai W. Post, Clemens Rieder, Clemens Scherer, Lisa M. Schilling, Andrey Soares, Spencer L. SooHoo, Ekin Soysal, Steven Covington, Brian Tep, Brian Toy, Baocheng Wang, Zhen R. Wu, Hua Xu, Yong K. Choi, Kai Zheng, Yujia Zhou, Rachel A Zucker:
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions. J. Am. Medical Informatics Assoc. 30(6): 1167-1178 (2023) - Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen:
Zero-Cost Operation Scoring in Differentiable Architecture Search. AAAI 2023: 10453-10463 - Dongcheng Li, W. Eric Wong, Sean Pan, Liang-Seng Koh, Nicholas Chau:
Automatic Generation of Solidity Test for Blockchain Smart Contract using Many Objective Search and Dimensionality Reduction. DSA 2023: 418-430 - Nicholas Rittler, Kamalika Chaudhuri:
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors. ICML 2023: 29103-29129 - Nicholas Rittler, Kamalika Chaudhuri:
Agnostic Multi-Group Active Learning. NeurIPS 2023 - Gaolei Yi, Zizhao Chen, Zhenyu Chen, W. Eric Wong, Nicholas Chau:
Exploring the Capability of ChatGPT in Test Generation. QRS Companion 2023: 72-80 - Nick Rittler, Kamalika Chaudhuri:
Agnostic Multi-Group Active Learning. CoRR abs/2306.01922 (2023) - Soichi Hayashi, Bradley Caron, Anibal Solon Heinsfeld, Sophia Vinci-Booher, Brent C. McPherson, Daniel N. Bullock, Giulia Berto, J. Guiomar Niso, Sandra Hanekamp, Daniel Levitas, Lindsey Kitchell, Josiah Leong, Filipi N. Silva, Serge Koudoro, Hanna Willis, Jasleen Jolly, Derek Pisner, Taylor Zuidema, Jan Kurzwaski, Koulla Mikellidou, Aurore Bussalb, Christopher Rorden, Conner Victory, Dheeraj Bhatia, Dogu Baran Aydogan, Frank C. Yeh, Franco Delogu, Javier Guaje, Jelle Veraart, Jeremy Fischer, Joshua Faskowitz, Maximilien Chaumon, Ricardo Fabrega, David Hunt, Shawn McKee, Shaw T. Brown, Stephanie Heyman, Vittorio Iacovella, Amanda Mejia, Daniele Marinazzo, R. Cameron Craddock, Emanuele Olivetti, Jamie Hanson, Paolo Avesani, Eleftherios Garyfallidis, Daniel Stanzione, James P. Carson, Robert Henschel, David Y. Hancock, Craig A. Stewart, David M. Schnyer, Damian Eke, Russell A. Poldrack, Nathalie George, Holly Bridge, Ilaria Sani, Winrich Freiwald, Aina Puce, Nicholas Port, Franco Pestilli:
brainlife.io: A decentralized and open source cloud platform to support neuroscience research. CoRR abs/2306.02183 (2023) - Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo:
TinyTrain: Deep Neural Network Training at the Extreme Edge. CoRR abs/2307.09988 (2023) - Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu:
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. CoRR abs/2310.07782 (2023) - 2022
- Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu:
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. AICAS 2022: 340-343 - David M. Russinoff, Javier D. Bruguera, Cuong Chau, Mayank Manjrekar, Nicholas Pfister, Harsha Valsaraju:
Formal Verification of a Chained Multiply-Add Design: Combining Theorem Proving and Equivalence Checking. ARITH 2022: 120-126 - Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah:
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO 2022: 599-615 - Thomas Chau, Lukasz Dudziak, Hongkai Wen, Nicholas D. Lane, Mohamed S. Abdelfattah:
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. NeurIPS 2022 - Esin Darici, Nicholas Rasmussen, J. Jennifer Ranjani, Jaclyn Xiao, Gunvant Chaudhari, Akanksha Rajput, Praveen Govindan, Minami Yamaura, Laura Gomezjurado, Amil Khanzada, Mert Pilanci:
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough. CoRR abs/2201.01669 (2022) - Caleb Tung, Abhinav Goel, Xiao Hu, Nicholas Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu:
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. CoRR abs/2207.10741 (2022) - Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah:
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR abs/2209.09570 (2022) - Thomas Chun-Pong Chau, Lukasz Dudziak, Hongkai Wen, Nicholas Donald Lane, Mohamed S. Abdelfattah:
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. CoRR abs/2210.07271 (2022) - Nick Rittler, Kamalika Chaudhuri:
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors. CoRR abs/2211.10773 (2022) - 2021
- Kevin L. Howe, Premanand Achuthan, James E. Allen, Jamie Allen, Jorge Álvarez-Jarreta, M. Ridwan Amode, Irina M. Armean, Andrey G. Azov, Ruth Bennett, Jyothish Bhai, Konstantinos Billis, Sanjay Boddu, Mehrnaz Charkhchi, Carla A. Cummins, Luca Da Rin Fioretto, Claire Davidson, Kamalkumar Jayantilal Dodiya, Bilal El Houdaigui, Reham Fatima, Astrid Gall, Carlos García-Girón, Tiago Grego, Cristina Guijarro-Clarke, Leanne Haggerty, Anmol Hemrom, Thibaut Hourlier, Osagie G. Izuogu, Thomas Juettemann, Vinay Kaikala, Mike P. Kay, Ilias Lavidas, Tuan Le, Diana Lemos, Jose Gonzalez Martinez, José Carlos Marugán, Thomas Maurel, Aoife C. McMahon, Shamika Mohanan, Benjamin Moore, Matthieu Muffato, Denye N. Oheh, Dimitrios Paraschas, Anne Parker, Andrew Parton, Irina Prosovetskaia, Manoj Pandian Sakthivel, Ahamed Imran Abdul Salam, Bianca M. Schmitt, Helen Schuilenburg, Dan Sheppard, Emily Steed, Michal Szpak, Marek Szuba, Kieron R. Taylor, Anja Thormann, Glen Threadgold, Brandon Walts, Andrea Winterbottom, Marc Chakiachvili, Ameya Chaubal, Nishadi De Silva, Bethany Flint, Adam Frankish, Sarah E. Hunt, Garth IIsley, Nick Langridge, Jane E. Loveland, Fergal J. Martin, Jonathan M. Mudge, Joannella Morales, Emily Perry, Magali Ruffier, John G. Tate, David Thybert, Stephen J. Trevanion, Fiona Cunningham, Andrew D. Yates, Daniel R. Zerbino, Paul Flicek:
Ensembl 2021. Nucleic Acids Res. 49(Database-Issue): D884-D891 (2021) - Xingcheng Lin, Jason T. George, Nicholas P. Schafer, Kevin Ng Chau, Michael E. Birnbaum, Cecilia Clementi, José N. Onuchic, Herbert Levine:
Rapid assessment of T-cell receptor specificity of the immune repertoire. Nat. Comput. Sci. 1(5): 362-373 (2021) - Tejaswini Ananthanarayana, Nikunj R. Kotecha, Priyanshu Srivastava, Lipisha Chaudhary, Nicholas Wilkins, Ifeoma Nwogu:
Dynamic Cross-Feature Fusion for American Sign Language Translation. FG 2021: 1-8 - Abhinav Mehrotra, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Lukasz Dudziak, Ravichander Vipperla, Thomas Chau, Mohamed S. Abdelfattah, Samin Ishtiaq, Nicholas Donald Lane:
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition. ICLR 2021 - Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri:
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP 2021: 1-88 - Xiangyang Ju, Daniel Murnane, Paolo Calafiura, Nicholas Choma, Sean Conlon, Steven Farrell, Yaoyuan Xu, Maria Spiropulu, Jean-Roch Vlimant, Adam Aurisano, Jeremy Hewes, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Markus Atkinson, Mark S. Neubauer, Gage DeZoort, Savannah Thais, Aditi Chauhan, Alex Schuy, Shih-Chieh Hsu, Alexandra Ballow, Alina Lazar:
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. CoRR abs/2103.06995 (2021) - Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas Chau, Nicholas D. Lane, Hongkai Wen:
Zero-Cost Proxies Meet Differentiable Architecture Search. CoRR abs/2106.06799 (2021) - Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson:
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR abs/2110.01406 (2021)
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