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Publication search results
found 63 matches
- 2024
- Aaron Boussina, Lennart Langouche, Augustine C. Obirieze, Mridu Sinha, Hannah Mack, William Leineweber, April Joy C. Aralar, David T. Pride, Todd P. Coleman, Stephanie I Fraley:
Machine learning based DNA melt curve profiling enables automated novel genotype detection. BMC Bioinform. 25(1): 185 (2024) - Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - 2023
- Guy R. Y. Coleman, Angus Macintyre, Michael J. Walsh, William T. Salter:
Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km h-1. Comput. Electron. Agric. 215: 108419 (2023) - Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing health systems data at scale: making translational discovery a reality. npj Digit. Medicine 6 (2023) - Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023 - Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - Guy R. Y. Coleman, Angus Macintyre, Michael J. Walsh, William T. Salter:
Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km h-1. CoRR abs/2305.10311 (2023) - Larry S. Liebovitch, William Powers, Lin Shi, Allegra Chen-Carrel, Philippe Loustaunau, Peter T. Coleman:
Word differences in news media of lower and higher peace countries revealed by natural language processing and machine learning. CoRR abs/2305.12537 (2023) - Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - 2022
- Léo Hemamou, William Coleman:
Delivering Fairness in Human Resources AI: Mutual Information to the Rescue. AACL/IJCNLP (1) 2022: 867-882 - William Gaviria Rojas, Sudnya Frederick Diamos, Keertan Kini, David Kanter, Vijay Janapa Reddi, Cody Coleman:
The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World. NeurIPS 2022 - Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. CoRR abs/2207.10062 (2022) - Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Melissa A. Haendel, Asiyah Y. Lin, Blake Martin, Nicolas Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. CoRR abs/2209.04732 (2022) - Cora Coleman, William G. Griswold, Nick Mitchell:
Do Cloud Developers Prefer CLIs or Web Consoles? CLIs Mostly, Though It Varies by Task. CoRR abs/2209.07365 (2022) - 2021
- Nicola De Maio, Alexander V. Alekseyenko, William J. Coleman-Smith, Fabio Pardi, Marc A. Suchard, Asif U. Tamuri, Jakub Truszkowski, Nick Goldman:
A phylogenetic approach for weighting genetic sequences. BMC Bioinform. 22(1): 285 (2021) - Adam Amara, Lucia de la Bella, Simon Birrer, Sarah Bridle, Juan Cordero, Ginevra Favole, Ian Harrison, Ian Harry, William G. Hartley, Coleman Krawczyk, Andrew Lundgren, Brian Nord, Laura Nuttall, Richard Rollins, Philipp Sudek, Sut-Ieng Tam, Nicolas Tessore, Arthur Tolley, Keiichi Umetsu, Andrew Williamson, Laura Wolz:
SkyPy: A package for modelling the Universe. J. Open Source Softw. 6(68): 3056 (2021) - Mike Walmsley, Chris J. Lintott, Tobias Géron, Sandor Kruk, Coleman Krawczyk, Kyle W. Willett, Steven Bamford, William Keel, Lee S. Kelvin, Lucy Fortson, Karen L. Masters, Vihang Mehta, Brooke D. Simmons, Rebecca J. Smethurst, Elisabeth M. Baeten, Christine Macmillan:
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314, 000 Galaxies. CoRR abs/2102.08414 (2021) - Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR abs/2106.05177 (2021) - 2020
- Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman:
Direct and Indirect Effects - An Information Theoretic Perspective. Entropy 22(8): 854 (2020) - Enis Golaszewski, Alan T. Sherman, Linda Oliva, Peter A. H. Peterson, Michael R. Bailey, Scott Bohon, Cyrus J. Bonyadi, Casey Borror, Ryan Coleman, Johannah Flenner, Elias Enamorado, Maksim Ekin Eren, Mohammad Khan, Emmanuel Larbi, Kyle Marshall, William Morgan, Lauren Mundy, Gabriel Onana, Selma Gomez Orr, Lauren Parker, Caleb Pinkney, Mykah Rather, Jimmy Rodriguez, Bryan Solis, Wubnyonga Tete, Tsigereda B. Tsega, Edwin Valdez, Charles K. Varga, Brian Weber, Ryan Wnuk-Fink, Armand Yonkeu, Lindsay Zetlmeisl, Damian Doyle, Casey O'Brien, Joseph Roundy, Jack Suess:
Project-based learning continues to inspire cybersecurity students: the 2018-2019 SFS research studies at UMBC. Inroads 11(2): 46-54 (2020) - William Coleman, Charlie Cullen, Ming Yan, Sarah Jane Delany:
Active Learning for Auditory Hierarchy. CD-MAKE 2020: 365-384 - Flora Coleman, Behnaz Rezvani, Sachin Sachin, William Diehl:
Side Channel Resistance at a Cost: A Comparison of ARX-Based Authenticated Encryption. FPL 2020: 193-199 - Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou:
MLPerf Inference Benchmark. ISCA 2020: 446-459 - 2019
- Kayla D. Coleman, Allison Lewis, Ralph C. Smith, Brian Williams, Max D. Morris, Bassam Khuwaileh:
Gradient-Free Construction of Active Subspaces for Dimension Reduction in Complex Models with Applications to Neutronics. SIAM/ASA J. Uncertain. Quantification 7(1): 117-142 (2019) - Andres A. Monterrosas, William D. Kight, Emre Gunduzhan, David M. Coleman:
A Self-Synchronizing Time-Division Multiple-Access Network Protocol. WTS 2019: 1-5 - Yun Seong Nam, Jwo-Sy Chen, Neal C. Pisenti, Kenneth Wright, Conor Delaney, Dmitri Maslov, Kenneth R. Brown, Stewart Allen, Jason M. Amini, Joel Apisdorf, Kristin M. Beck, Aleksey Blinov, Vandiver Chaplin, Mika Chmielewski, Coleman Collins, Shantanu Debnath, Andrew M. Ducore, Kai M. Hudek, Matthew J. Keesan, Sarah M. Kreikemeier, Jonathan Mizrahi, Phil Solomon, Mike Williams, Jaime David Wong-Campos, Christopher R. Monroe, Jungsang Kim:
Ground-state energy estimation of the water molecule on a trapped ion quantum computer. CoRR abs/1902.10171 (2019) - Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou:
MLPerf Inference Benchmark. CoRR abs/1911.02549 (2019) - Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman:
Direct and Indirect Effects - An Information Theoretic Perspective. CoRR abs/1912.10508 (2019) - 2017
- Jennifer A. Pacheco, Agnes S. Sundaresan, Kenneth M. Borthwick, Sergio E. Chiarella, David T. Coleman, Andy Yizhou Wu, Abel N. Kho, M. Geoffrey Hayes, Marc S. Williams:
Portable Precision Phenotype Algorithm for Chronic Rhinosinusitis. AMIA 2017 - 2016
- Jack W. Davidson, Jason D. Hiser, Anh Nguyen-Tuong, Clark L. Coleman, William H. Hawkins, John C. Knight, Benjamin D. Rodes, Ashlie B. Hocking:
A System for the Security Protection of Embedded Binary Programs. DSN Workshops 2016: 234-237
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