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Author search results
Exact matches
- Matthew White — disambiguation page
- Matthew White 0001
Charles Sturt University, School of Environmental and Information Science, Albury, NSW, Australia - Matthew White 0002
Manchester Metropolitan University, Department of Computing and Mathematics, UK
Likely matches
- Matthew Whitehead
aka: Matthew S. Whitehead - Matthew D. Whiteside
- Matthew R. Whiteway
- Matthew T. White
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Publication search results
found 344 matches
- 2024
- Matthew E. Scherer, Raymond R. Hill, Brian J. Lunday, Bruce A. Cox, Edward D. White:
Verifying new instances of the multidemand multidimensional knapsack problem with instance space analysis. Comput. Oper. Res. 162: 106477 (2024) - Matthew E. Scherer, Raymond R. Hill, Brian J. Lunday, Bruce A. Cox, Edward D. White:
Applying instance space analysis for metaheuristic selection to the 0-1 multidemand multidimensional knapsack problem. Comput. Oper. Res. 170: 106747 (2024) - C. Allaire, R. Ammendola, E.-C. Aschenauer, M. Balandat, Marco Battaglieri, J. C. Bernauer, M. Bondì, N. Branson, T. Britton, Anja Butter, I. Chahrour, P. Chatagnon, Evaristo Cisbani, E. W. Cline, S. Dash, C. T. Dean, W. Deconinck, A. Deshpande, Markus Diefenthaler, R. Ent, Cristiano Fanelli, M. Finger, E. Fol, S. Furletov, Y. Gao, James Giroux, N. C. Gunawardhana Waduge, O. Hassan, P. L. Hegde, Roger José Hernández-Pinto, Astrid N. Hiller Blin, Tanja Horn, J. Huang, A. Jalotra, D. Jayakodige, B. Joo, M. Junaid, N. Kalantarians, Piyush Karande, B. Kriesten, R. Kunnawalkam Elayavalli, Y. Li, M. Lin, Frank Liu, S. Liuti, G. Matousek, Matthew McEneaney, Diana McSpadden, T. Menzo, T. Miceli, Vinicius Mikuni, R. Montgomery, Benjamin Nachman, R. R. Nair, J. Niestroy, S. A. Ochoa Oregon, J. Oleniacz, J. D. Osborn, C. Paudel, C. Pecar, C. Peng, Gabriel N. Perdue, W. Phelps, Martin L. Purschke, H. Rajendran, K. Rajput, Y. Ren, David Francisco Rentería-Estrada, D. Richford, B. J. Roy, D. Roy, A. Saini, Nobuo Sato, T. Satogata, German Sborlini, Malachi Schram, David Shih, J. Singh, R. Singh, Andrzej Siódmok, J. Stevens, P. Stone, L. Suarez, K. Suresh, Abdel Nasser Tawfik, Fernando Torales Acosta, N. Tran, R. Trotta, F. J. Twagirayezu, R. Tyson, S. Volkova, Anselm Vossen, Eric Walter, Daniel Whiteson, Michael Williams, S. Wu, N. Zachariou, P. Zurita:
Artificial Intelligence for the Electron Ion Collider (AI4EIC). Comput. Softw. Big Sci. 8(1): 5 (2024) - Matthew J. Heaton, Benjamin K. Dahl, Caleb Dayley, Richard L. Warr, Philip White:
Integrating machine learning and Bayesian nonparametrics for flexible modeling of point pattern data. Comput. Stat. Data Anal. 191: 107875 (2024) - Liam Cross, Linda K. Kaye, Juris Savostijanovs, Neil McLatchie, Matthew Johnston, Liam Whiteman, Robyn Mooney, Gray Atherton:
Gendered violence and sexualized representations in video games: (Lack of) effect on gender-related attitudes. New Media Soc. 26(3): 1648-1669 (2024) - Mahdieh Darroudi, Kevin A. White, Matthew Crocker, Brian N. Kim:
Dopamine Measurement Using Engineered CNT-CQD-Polymer Coatings on Pt Microelectrodes. Sensors 24(6): 1893 (2024) - Lingwei Zhu, Matthew Schlegel, Han Wang, Martha White:
Offline Reinforcement Learning via Tsallis Regularization. Trans. Mach. Learn. Res. 2024 (2024) - Logan Kemper, Juan Lam, Matthew Levine, Aiden White Pifer, Seunghyun Jang, Markus Santoso, Angelos Barmpoutis:
Assessing the Influence of Passive Haptics on User Perception of Physical Properties in Virtual Reality. HCI (24) 2024: 191-200 - Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster:
Discovering Temporally-Aware Reinforcement Learning Algorithms. ICLR 2024 - Yoo-Jeong Noh, John M. Haynes, Steven D. Miller, Charles White, Brandon Daub, Imme Ebert-Uphoff, Hungjui Yu, Jason Apke, Randy Chase, Katherine Haynes, Jeremy Solbrig, Evan Rose, Matthew King, Leigh Cheatwood:
Building Unified Global 3D Cloud Data From Multiple Satellites For Advancing Weather And Climate Research. IGARSS 2024: 1280-1283 - Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Bran Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias:
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. ISBI 2024: 1-5 - Alexander Rohl, Matthew Roughan, Martin White, Alexander Chambers:
POSTER: Packet Field Tree: a hybrid approach, open database and evaluation methodology for Automated Protocol Reverse-Engineering. SIGCOMM (Posters and Demos) 2024: 13-15 - Pauline White, Robin Y. Flatland, James Matthews, Jesse Moya, Kathryn Schiller:
Discovering Computer Science: A High School CS Course Co-developed by College & High School Teachers. SIGCSE (2) 2024: 1855-1856 - Joseph Patrick White, Aaron Weeden, Robert L. DeLeon, Thomas R. Furlani, Matthew D. Jones:
Overview of ACCESS allocated cyberinfrastructure usage. PEARC 2024: 28:1-28:10 - Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert T. Lange, Shimon Whiteson, Jakob Nicolaus Foerster:
Discovering Temporally-Aware Reinforcement Learning Algorithms. CoRR abs/2402.05828 (2024) - Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson:
SplAgger: Split Aggregation for Meta-Reinforcement Learning. CoRR abs/2403.03020 (2024) - Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob N. Foerster:
Policy-Guided Diffusion. CoRR abs/2404.06356 (2024) - Ben Williams, Bart van Merriënboer, Vincent Dumoulin, Jenny Hamer, Eleni Triantafillou, Abram B. Fleishman, Matthew McKown, Jill E. Munger, Aaron N. Rice, Ashlee Lillis, Clemency E. White, Catherine A. D. Hobbs, Tries B. Razak, Kate E. Jones, Tom Denton:
Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics. CoRR abs/2404.16436 (2024) - Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen White, Flora D. Salim:
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings. CoRR abs/2405.14267 (2024) - Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, Dominic LaBella, Ujjwal Baid, Nourel Hoda Tahon, Martha Foltyn-Dumitru, Jikai Zhang, Maram Alafif, Saif Baig, Ken Chang, Gennaro D'Anna, Lisa Deptula, Diviya Gupta, Muhammad Ammar Haider, Ali Hussain, Michael Iv, Marinos Kontzialis, Paul Manning, Farzan Moodi, Teresa Nunes, Aaron Simon, Nico Sollmann, David Vu, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Rongrong Chai, Verena Chung, Shahriar Faghani, Keyvan Farahani, Anahita Fathi Kazerooni, Juan Eugenio Iglesias, Florian Kofler, Hongwei Li, Marius George Linguraru, Bjoern H. Menze, Ahmed W. Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K. K. Fields, Filip Garrett, Jaime Gass, Lubomir M. Hadjiiski, Jona A. Hattangadi-Gluth, Christopher Hess, Jessica L. Houk, Edvin Isufi, Lester J. Layfield, George Mastorakos, John Mongan, Pierre Nedelec, Uyen Nguyen, Sebastian Oliva, Matthew W. Pease, Aditya Rastogi, Jason Sinclair, Robert X. Smith, Leo P. Sugrue, Jonathan Thacker, Igor Vidic, Javier E. Villanueva-Meyer, Nathan S. White, Mariam Aboian, Gian Marco Conte, Anders M. Dale, Mert R. Sabuncu, Tyler M. Seibert, Brent Weinberg, Aly H. Abayazeed, Raymond Y. Huang, Sevcan Turk, Andreas M. Rauschecker, Nikdokht Farid, Philipp Vollmuth, Ayman Nada, Spyridon Bakas, Evan Calabrese, Jeffrey D. Rudie:
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. CoRR abs/2405.18368 (2024) - Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas:
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. CoRR abs/2405.18511 (2024) - Alexander David Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob Nicolaus Foerster:
Can Learned Optimization Make Reinforcement Learning Less Difficult? CoRR abs/2407.07082 (2024) - Ari Blau, Evan S. Schaffer, Neeli Mishra, Nathaniel J. Miska, International Brain Laboratory, Liam Paninski, Matthew R. Whiteway:
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms. CoRR abs/2407.16727 (2024) - Nadya Bliss, Kevin Butler, David Danks, Ufuk Topcu, Matthew Turk:
Addressing the Unforeseen Harms of Technology CCC Whitepaper. CoRR abs/2408.06431 (2024) - Sungduk Yu, Brian L. White, Anahita Bhiwandiwalla, Musashi Hinck, Matthew Lyle Olson, Tung Nguyen, Vasudev Lal:
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution. CoRR abs/2408.15993 (2024) - Xinlong Hou, Sen Shen, Xueshen Li, Xinran Gao, Ziyi Huang, Steven Holiday, Matthew Cribbet, Susan W. White, Edward Sazonov, Yu Gan:
Enhancing Screen Time Identification in Children with a Multi-View Vision Language Model and Screen Time Tracker. CoRR abs/2410.01966 (2024) - 2023
- Andrew J. Jansen, Jaylen D. Nicholson, Andrew J. Esparon, Timothy G. Whiteside, Michael Welch, Matthew Tunstill, Harinandanan Paramjyothi, Varma Gadhiraju, Steve van Bodegraven, Renée E. Bartolo:
Deep Learning with Northern Australian Savanna Tree Species: A Novel Dataset. Data 8(2): 44 (2023) - Kayson Whitehouse, Michael Hitchens, Nicole Matthews:
Trans* and gender diverse players: Avatars and gender-alignment. Entertain. Comput. 47: 100584 (2023) - Yuki Oi, Masakazu Hirose, Hiroki Togo, Kenji Yoshinaga, Thai Akasaka, Tomohisa Okada, Toshihiko Aso, Ryosuke Takahashi, Matthew F. Glasser, Takuya Hayashi, Takashi Hanakawa:
Identifying and reverting the adverse effects of white matter hyperintensities on cortical surface analyses. NeuroImage 281: 120377 (2023)
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