Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Dunne, Cody"'
Predicting UAV Type: An Exploration of Sampling and Data Augmentation for Time Series Classification
Unmanned aerial vehicles are becoming common and have many productive uses. However, their increased prevalence raises safety concerns -- how can we protect restricted airspace? Knowing the type of unmanned aerial vehicle can go a long way in determi
Externí odkaz:
http://arxiv.org/abs/2403.00565
Autor:
Gatterbauer, Wolfgang, Dunne, Cody
Comparing relational languages by their logical expressiveness is well understood. Less well understood is how to compare relational languages by their ability to represent relational query patterns. Indeed, what are query patterns other than "a cert
Externí odkaz:
http://arxiv.org/abs/2401.04758
Treemaps have been widely applied to the visualization of hierarchical data. A treemap takes a weighted tree and visualizes its leaves in a nested planar geometric shape, with sub-regions partitioned such that each sub-region has an area proportional
Externí odkaz:
http://arxiv.org/abs/2308.16855
Large language models (LLMs) have recently taken the world by storm. They can generate coherent text, hold meaningful conversations, and be taught concepts and basic sets of instructions - such as the steps of an algorithm. In this context, we are in
Externí odkaz:
http://arxiv.org/abs/2303.08819
Query Visualization (QV) is the problem of transforming a given query into a graphical representation that helps humans understand its meaning. This task is notably different from designing a Visual Query Language (VQL) that helps a user compose a qu
Externí odkaz:
http://arxiv.org/abs/2208.01613
Analyzing relational languages by their logical expressiveness is well understood. Something not well understood or even formalized is the vague concept of relational query patterns. What are query patterns? And how can we reason about query patterns
Externí odkaz:
http://arxiv.org/abs/2203.07284
Autor:
Dunne, Cody L., Cirone, Julia, Blanchard, Ian E., Holroyd-Leduc, Jayna, Wilson, Todd A., Sauro, Khara, McRae, Andrew D.
Publikováno v:
In Resuscitation August 2024 201
Graphics Processing Units (GPUs) have been widely used to accelerate artificial intelligence, physics simulation, medical imaging, and information visualization applications. To improve GPU performance, GPU hardware designers need to identify perform
Externí odkaz:
http://arxiv.org/abs/2104.00828
Autor:
Barcala-Furelos, Roberto, Beerman, Stephen B., Bruckner, Marlies, Castrén, Maaret, Chong, ShuLing, Claesson, Andreas, Dunne, Cody L., Finan, Emer, Fukuda, Tatsuma, Lalgudi Ganesan, Saptharishi, Gately, Callum, Gois, Aecio, Gray, Seth, Halamek, Louis P., Hoover, Amber V., Hurst, Cameron, Josephsen, Justin, Kollander, Louise, Omar Kamlin, C., Kool, Mirjam, Li, Lei, Mecrow, Thomas S., Montgomery, William, Ristau, Patrick, Jayashree, Muralidharan, Schmidt, Andrew, Scquizzato, Tommaso, Seesink, Jeroen, Sempsrott, Justin, Lee Solevåg, Anne, Strand, Marya L., Szpilman, David, Szyld, Edgardo, Thom, Ogilvie, Tobin, Joshua M., Trang, Jacinta, Webber, Jonathon, Webster, Hannah K., Wellsford, Michelle, Berg, Katherine M., Bray, Janet E., Ng, Kee-Chong, Liley, Helen G., Greif, Robert, Carlson, Jestin N., Morley, Peter T., Drennan, Ian R., Smyth, Michael, Scholefield, Barnaby R., Weiner, Gary M., Cheng, Adam, Djärv, Therese, Abelairas-Gómez, Cristian, Acworth, Jason, Andersen, Lars W., Atkins, Dianne L., Berry, David C., Bhanji, Farhan, Bierens, Joost, Bittencourt Couto, Thomaz, Borra, Vere, Böttiger, Bernd W., Bradley, Richard N., Breckwoldt, Jan, Cassan, Pascal, Chang, Wei-Tien, Charlton, Nathan P., Chung, Sung Phil, Considine, Julie, Costa-Nobre, Daniela T., Couper, Keith, Dainty, Katie N., Dassanayake, Vihara, Davis, Peter G., Dawson, Jennifer A., Fernanda de Almeida, Maria, De Caen, Allan R., Deakin, Charles D., Dicker, Bridget, Douma, Matthew J., Eastwood, Kathryn, El-Naggar, Walid, Fabres, Jorge G., Fawke, Joe, Fijacko, Nino, Finn, Judith C., Flores, Gustavo E., Foglia, Elizabeth E., Folke, Fredrik, Gilfoyle, Elaine, Goolsby, Craig A., Granfeldt, Asger, Guerguerian, Anne-Marie, Guinsburg, Ruth, Hatanaka, Tetsuo, Hirsch, Karen G., Holmberg, Mathias J., Hosono, Shigeharu, Hsieh, Ming-Ju, Hsu, Cindy H., Ikeyama, Takanari, Isayama, Tetsuya, Johnson, Nicholas J., Kapadia, Vishal S., Daripa Kawakami, Mandira, Kim, Han-Suk, Kleinman, Monica E., Kloeck, David A., Kudenchuk, Peter, Kule, Amy, Kurosawa, Hiroshi, Lagina, Anthony T., Lauridsen, Kasper G., Lavonas, Eric J., Lee, Henry C., Lin, Yiqun, Lockey, Andrew S., Macneil, Finlay, Maconochie, Ian K., John Madar, R., Malta Hansen, Carolina, Masterson, Siobhan, Matsuyama, Tasuku, McKinlay, Christopher J.D., Meyran, Daniel, Monnelly, Vix, Nadkarni, Vinay, Nakwa, Firdose L., Nation, Kevin J., Nehme, Ziad, Nemeth, Michael, Neumar, Robert W., Nicholson, Tonia, Nikolaou, Nikolaos, Nishiyama, Chika, Norii, Tatsuya, Nuthall, Gabrielle A., Ohshimo, Shinchiro, Olasveengen, Theresa M., Gene Ong, Yong-Kwang, Orkin, Aaron M., Parr, Michael J., Patocka, Catherine, Perkins, Gavin D., Perlman, Jeffrey M., Rabi, Yacov, Raitt, James, Ramachandran, Shalini, Ramaswamy, Viraraghavan V., Raymond, Tia T., Reis, Amelia G., Reynolds, Joshua C., Ristagno, Giuseppe, Rodriguez-Nunez, Antonio, Roehr, Charles C., Rüdiger, Mario, Sakamoto, Tetsuya, Sandroni, Claudio, Sawyer, Taylor L., Schexnayder, Steve M., Schmölzer, Georg M., Schnaubelt, Sebastian, Semeraro, Federico, Singletary, Eunice M., Skrifvars, Markus B., Smith, Christopher M., Soar, Jasmeet, Stassen, Willem, Sugiura, Takahiro, Tijssen, Janice A., Topjian, Alexis A., Trevisanuto, Daniele, Vaillancourt, Christian, Wyckoff, Myra H., Wyllie, Jonathan P., Yang, Chih-Wei, Yeung, Joyce, Zelop, Carolyn M., Zideman, David A., Nolan, Jerry P.
Publikováno v:
In Resuscitation February 2024 195
Autor:
Di Bartolomeo, Sara, Pandey, Aditeya, Leventidis, Aristotelis, Saffo, David, Syeda, Uzma Haque, Carstensdottir, Elin, El-Nasr, Magy Seif, Borkin, Michelle A., Dunne, Cody
Publikováno v:
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, April 2020, Pages 1-12
Timelines are commonly represented on a horizontal line, which is not necessarily the most effective way to visualize temporal event sequences. However, few experiments have evaluated how timeline shape influences task performance. We present the des
Externí odkaz:
http://arxiv.org/abs/2005.06039