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- Scott E. Hudson
Georgia Institute of Technology, Atlanta, USA - Scott Hauck
University of Washington, Seattle, USA - Scott A. Hale
- Scott Hensley
- Scott C.-H. Huang
aka: Scott Chih-Hao Huang
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Publication search results
found 9,213 matches
- 2025
- Anthony J. Rose, Christine M. Schubert-Kabban, Scott R. Graham, Wayne C. Henry, Christopher M. Rondeau:
Malware classification through Abstract Syntax Trees and L-moments. Comput. Secur. 148: 104082 (2025) - Simon Leglaive, Matthieu Fraticelli, Hend Elghazaly, Léonie Borne, Mostafa Sadeghi, Scott Wisdom, Manuel Pariente, John R. Hershey, Daniel Pressnitzer, Jon P. Barker:
Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. Comput. Speech Lang. 89: 101685 (2025) - Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah Al Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam Wang, Garry Evan Gold, Jang-Hwan Choi:
Low-dose computed tomography perceptual image quality assessment. Medical Image Anal. 99: 103343 (2025) - 2024
- Scott Lupton, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa:
Landscape and Taxonomy of Online Parser-Supported Log Anomaly Detection Methods. IEEE Access 12: 78193-78218 (2024) - Cho Hilary Scott Nkimbeng, Heesu Wang, Daeyeong Yoon, Yong Bae Park, Haewook Han, Ikmo Park:
Ultra-Wideband Ultra-Thin Transmissive Linear to Circular Polarization Convertor Based on Crossed-Dipole-Shaped Metasurface. IEEE Access 12: 120337-120346 (2024) - Martin D. Burke, Scott E. Denmark, Ying Diao, Jiawei Han, Rachel D. Switzky, Huimin Zhao:
Molecule Maker Lab Institute: Accelerating, advancing, and democratizing molecular innovation. AI Mag. 45(1): 117-123 (2024) - Georg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Michael H. Cho, Edwin K. Silverman, Scott T. Weiss, Christoph Lange:
Fast computation of the eigensystem of genomic similarity matrices. BMC Bioinform. 25(1): 43 (2024) - Tzipi Horowitz-Kraus, Raya Meri, Scott K. Holland, Rola Farah, Tamara Rohana, Narmeen Haj:
Language First, Cognition Later: Different Trajectories of Subcomponents of the Future-Reading Network in Processing Narratives from Kindergarten to Adolescence. Brain Connect. 14(1): 60-69 (2024) - Wendy Hall, Divesh Srivastava, Scott E. Delman:
ACM Publications Finances for 2022: Striving for Balance between Mission, Sustainability, and Growth. Commun. ACM 67(1): 22-26 (2024) - Eghbal Rashidi, Tanveer Hossain Bhuiyan, Scott J. Mason:
Production planning for semiconductor manufacturing under demand and yield uncertainty. Comput. Ind. Eng. 196: 110403 (2024) - Chrisbin James, Daniel Smith, Weigao He, Shekhar S. Chandra, Scott C. Chapman:
GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping. Comput. Electron. Agric. 217: 108485 (2024) - Jun Li, E. Scott Huebner, Lili Tian:
Linking childhood maltreatment to cyberbullying perpetration and victimization: A systematic review and multilevel meta-analysis. Comput. Hum. Behav. 156: 108199 (2024) - Melanie J. Zimmer-Gembeck, Riley Scott, Tanya Hawes:
Appearance-related teasing, rejection sensitivity, acceptance, and coping as risks and resources associated with online appearance preoccupation over one year. Comput. Hum. Behav. 158: 108319 (2024) - Caryn Geady, Farnoosh Abbas Aghababazadeh, Andres Kohan, Scott Schuetze, David Shultz, Benjamin Haibe-Kains:
Radiomic-based prediction of lesion-specific systemic treatment response in metastatic disease. Comput. Medical Imaging Graph. 116: 102413 (2024) - Rolando P. Hong Enriquez, Rosa M. Badia, Barbara M. Chapman, Kirk Bresniker, Scott Pakin, Alok Mishra, Pedro Bruel, Aditya Dhakal, Gourav Rattihalli, Ninad Hogade, Eitan Frachtenberg, Dejan S. Milojicic:
Quantum optimization algorithms: Energetic implications. Concurr. Comput. Pract. Exp. 36(16) (2024) - Dylan T. Cliche, M. E. Martin, R. A. London, H. A. Scott, M. V. Patel:
An improved methodology for modeling short pulse buried layer x-ray emission spectra. Comput. Phys. Commun. 300: 109168 (2024) - Cella Monet Sum, Franchesca Spektor, Rahaf Alharbi, Leya Breanna Baltaxe-Admony, Erika Devine, Hazel Anneke Dixon, Jared Duval, Tessa Eagle, Frank Elavsky, Kim Fernandes, Leandro Soares Guedes, Serena Hillman, Vaishnav Kameswaran, Lynn Kirabo, Tamanna Motahar, Kathryn E. Ringland, Anastasia Schaadhardt, Laura Scheepmaker, Alicia Williamson:
Challenging Ableism: A Critical Turn Toward Disability Justice in HCI. XRDS 30(4) (2024) - Angela Y. Lee, Cedric J. Powell, Justin M. Gorham, Adam Morey, John Henry J. Scott, Robert J. Hanisch:
Development of the NIST X-ray Photoelectron Spectroscopy (XPS) Database, Version 5. Data Sci. J. 23: 45 (2024) - Rachel Fensham, Tyne Daile Sumner, Nat Cutter, George Buchanan, Rui Liu, Justin Munoz, James Smithies, Ivy Zheng, David Carlin, Erik Champion, Hugh Craig, Scott East, Chris Hay, Lisa M. Given, John Macarthur, David McMeekin, Joanna Mendelssohn, Deborah van der Plaat:
Towards a National Data Architecture for Cultural Collections: Designing the Australian Cultural Data Engine. Digit. Humanit. Q. 18(2) (2024) - Jun Scott Chen Hsieh:
Gather in the metaverse: Learning outcomes, virtual presence, and perceptions of high- and low-achieving pre-service teachers of English as a Foreign Language. Educ. Inf. Technol. 29(7): 8549-8577 (2024) - Samuel A. Cushman, Zaneta Kaszta, Patrick Burns, Christopher R. Hakkenberg, Patrick Jantz, David W. Macdonald, Jedediah F. Brodie, Mairin C. M. Deith, Scott J. Goetz:
Simulating multi-scale optimization and variable selection in species distribution modeling. Ecol. Informatics 83: 102832 (2024) - Dario Dematties, Samir Rajani, Rajesh Sankaran, Sean Shahkarami, Bhupendra Raut, Scott Collis, Pete Beckman, Nicola J. Ferrier:
Acoustic fingerprints in nature: A self-supervised learning approach for ecosystem activity monitoring. Ecol. Informatics 83: 102823 (2024) - Tung Nguyen, Alexander Scott, Paul D. Seymour, Stéphan Thomassé:
Clique covers of H-free graphs. Eur. J. Comb. 118: 103909 (2024) - Scott A. Humr, Mustafa Canan:
Intermediate Judgments and Trust in Artificial Intelligence-Supported Decision-Making. Entropy 26(6): 500 (2024) - Iman Maghami, Mohamed M. Morsy, Jeffrey M. Sadler, Jeffery S. Horsburgh, Pabitra Dash, Youngdon Choi, Kevin Chen, Martin Seul, Scott Black, David G. Tarboton, Jonathan L. Goodall:
An extensible schema for capturing environmental model metadata: Implementation in the HydroShare online data repository. Environ. Model. Softw. 172: 105895 (2024) - David G. Tarboton, Daniel P. Ames, Jeffery S. Horsburgh, Jonathan L. Goodall, Alva L. Couch, Richard P. Hooper, Jerad Bales, Shaowen Wang, Anthony M. Castronova, Martin Seul, Ray Idaszak, Zhiyu Li, Pabitra Dash, Scott Black, Maurier Ramírez, Hong Yi, Chris Calloway, Clara Cogswell:
HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain. Environ. Model. Softw. 172: 105902 (2024) - Yanyu Chen, Yunjue Zhou, Mira Park, Son N. Tran, Scott Hadley, Quan Bai:
A novel adaptive ensemble learning framework for automated Beggiatoa Spp. coverage estimation. Expert Syst. Appl. 237(Part B): 121416 (2024) - Andy Coverdale, Sarah Lewthwaite, Yasmine N. Elglaly, Scott Hollier, Sarah Horton, Kate Sonka, Gottfried Zimmermann:
Editorial: Advancing digital accessibility in academic and workplace education. Frontiers Comput. Sci. 6 (2024) - Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton:
Corrigendum: Applications and techniques for fast machine learning in science. Frontiers Big Data 6 (2024) - Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev:
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. Future Gener. Comput. Syst. 160: 666-710 (2024)
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