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检索条件"机构=Center for Computational Intractability and Department of Computer Science"
2758 条 记 录,以下是171-180 订阅
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The Fused Multiply-Add and Global Atmospheric Models: A Distributional Investigation into a Surprising Correctness Scenario  24
The Fused Multiply-Add and Global Atmospheric Models: A Dist...
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Proceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis
作者: Teo Price-Broncucia Allison H. Baker Michael Duda Department of Computer Science University of Colorado Boulder CO Computational and Information Systems Lab NSF National Center for Atmospheric Research Boulder CO Mesoscale and Microscale Meteorology Lab NSF National Center for Atmospheric Research Boulder CO
In a series of related works developing an ensemble consistency testing approach for multiple popular global climate models (GCMs), one test scenario has repeatedly stood out. Why does the use of the Fused Multiply-Ad...
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Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data
arXiv
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arXiv 2024年
作者: Larsen, Brett W. Kolda, Tamara G. Zhang, Anru R. Williams, Alex H. Databricks Mosaic Research Centers for Computational Mathematics and Neuroscience Flatiron Institute New YorkNY United States MathSci.ai DublinCA United States Department of Biostatistics and Bioinformatics Department of Computer Science Duke University United States Center for Neural Science New York University Center for Computational Neuroscience Flatiron Institute United States
The canonical polyadic (CP) tensor decomposition decomposes a multidimensional data array into a sum of outer products of finite-dimensional vectors. Instead, we can replace some or all of the vectors with continuous ... 详细信息
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Generating Host-Based Data from Network Traces for Intrusion Detection
Generating Host-Based Data from Network Traces for Intrusion...
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IEEE Annual International computer Software and Applications Conference (COMPSAC)
作者: Patrick Day Stefano Iannucci Ioana Banicescu Center for Computational Sciences Mississippi State University Starkville Mississippi Department of Computer Science and Engineering Mississippi State University Starkville Mississippi Department of Civil Computer Science and Aeronautical Technologies Engineering Roma Tre University Rome Italy
Network intrusion detection has been an active research area for the last 20 years. However, there is a limited amount of publicly available datasets, and, most importantly, most of them are either related to network ...
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The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models
arXiv
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arXiv 2025年
作者: Sourati, Zhivar Karimi-Malekabadi, Farzan Ozcan, Meltem McDaniel, Colin Ziabari, Alireza Trager, Jackson Tak, Ala Chen, Meng Morstatter, Fred Dehghani, Morteza Department of Computer Science University of Southern California United States Center for Computational Language Sciences University of Southern California United States Department of Psychology University of Southern California United States Information Science Institute University of Southern California United States
Language is far more than a communication tool. A wealth of information — including but not limited to the identities, psychological states, and social contexts of its users — can be gleaned through linguistic marke... 详细信息
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Pre-trained language models in Spanish for health insurance coverage  5
Pre-trained language models in Spanish for health insurance ...
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5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023. held at ACL 2023
作者: Aracena, Claudio Rodríguez, Nicolás Rocco, Victor Dunstan, Jocelyn Faculty of Physical and Mathematical Sciences University of Chile Chile Millennium Institute Foundational Research on Data Chile Chilean Safety Association Chile Department of Computer Science Catholic University of Chile Chile Institute for Mathematical and Computational Engineering Catholic University of Chile Chile Center for Mathematical Modeling University of Chile Chile
The field of clinical natural language processing (NLP) can extract useful information from clinical text. Since 2017, the NLP field has shifted towards using pre-trained language models (PLMs), improving performance ... 详细信息
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A Model-Based Method for Minimizing CVaR and Beyond
arXiv
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arXiv 2023年
作者: Meng, Si Yi Gower, Robert M. Department of Computer Science Cornell University IthacaNY United States Center for Computational Mathmatics Flatiron Institute New YorkNY United States
We develop a variant of the stochastic prox-linear method for minimizing the Conditional Value-at-Risk (CVaR) objective. CVaR is a risk measure focused on minimizing worstcase performance, defined as the average of th... 详细信息
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Can microplastic contamination affect the wing morphology and wingbeat frequency of Aedes aegypti (Diptera: Culicidae) mosquitoes?
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Environmental science and Pollution Research 2024年 第49期31卷 59289-59301页
作者: de Nadai, Barbara Lepretti Moura, Lidia Castro, Gleyson B. Silva, Kamila Jessie Sammarro Maletzke, André Gustavo Corbi, Juliano José Batista, Gustavo E. A. P. A. Machado, Renato Bobsin Computational Entomology Laboratory Department of Engineering and Exact Sciences Western Paraná State University Foz Do Iguaçu Brazil Environmental Engineering and Sanitation Leonardo da Vinci University Center Indaial Brazil Laboratory of Ecotoxicology and Applied Ecology Department of Hydraulic Engineering and Sanitation São Carlos School of Engineering University of Sao Paulo Sao Carlos Brazil Environmental Biophotonics Laboratory São Carlos Institute of Physics University of Sao Paulo Sao Carlos Brazil School of Computer Science and Engineering University of New South Wales Sydney Australia
Microplastics (MPs) are increasingly widespread in the environment, which raises questions about their potential effects at different biological levels. It is essential to assess the impacts on biodiversity, and it is... 详细信息
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Link prediction for ex ante influence maximization on temporal networks
arXiv
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arXiv 2023年
作者: Yanchenko, Eric Murata, Tsuyoshi Holme, Petter Department of Statistics North Carolina State University RaleighNC United States Department of Computer Science Tokyo Institute of Technology Ookayama Tokyo Japan Department of Computer Science Aalto University Espoo Finland Center for Computational Social Science Kobe University Kobe Japan
Influence maximization (IM) is the task of finding the most important nodes in order to maximize the spread of influence or information on a network. This task is typically studied on static or temporal networks where... 详细信息
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Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning
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npj computational Materials 2023年 第1期9卷 1402-1410页
作者: Ying Huang David Perlmutter Andrea Fei-Huei Su Jerome Quenum Pavel Shevchenko Dilworth Y.Parkinson Iryna V.Zenyuk Daniela Ushizima Department of Materials Science&Engineering University of California IrvineIrvineCaliforniaUSA National Fuel Cell Research Center University of California IrvineIrvineCaliforniaUSA Applied Math and Computational Research Division Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Department of Chemical&Biomolecular Engineering University of California IrvineIrvineCaliforniaUSA Department of Electrical Engineering and Computer Sciences College of EngineeringUniversity of California BerkeleyBerkeleyCaliforniaUSA Advanced Photon Source Argonne National Laboratory9700 South Cass AvenueLemontIllinoisUSA Advanced Light Source Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Berkeley Institute for Data Science University of California BerkeleyBerkeleyCaliforniaUSA
Operando X-ray micro-computed tomography(µCT)provides an opportunity to observe the evolution of Li structures inside pouch *** is an essential step to quantitatively analyzingµCT datasets but is challenging... 详细信息
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SMOTE Oversampling and Near Miss Undersampling Based Diabetes Diagnosis from Imbalanced Dataset with XAI Visualization
SMOTE Oversampling and Near Miss Undersampling Based Diabete...
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IEEE Symposium on computers and Communications (ISCC)
作者: Nasim Mahmud Nayan Ashraful Islam Muhammad Usama Islam Eshtiak Ahmed Mohammad Mobarak Hossain Md Zahangir Alam Department of Computer Science and Engineering University of Information Technology and Sciences Bangladesh Center for Computational and Data Sciences Independent University Bangladesh Department of Computer Science and Engineering Independent University Bangladesh School of Computing and Informatics University of Louisiana at Lafayette USA Department of Computer Science and Engineering Daffodil International University Bangladesh
This study investigated the predictive ability of ten different machine learning (ML) models for diabetes using a dataset that was not evenly distributed. Additionally, the study evaluated the effectiveness of two ove...
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