Straipsniai su viešo pasiekiamumo įpareigojimais - William H. HsuSužinokite daugiau
Kur nors pasiekiama: 19
Assessing the potential for deep learning and computer vision to identify bumble bee species from images
BJ Spiesman, C Gratton, RG Hatfield, WH Hsu, S Jepsen, B McCornack, ...
Scientific reports 11 (1), 7580, 2021
Įpareigojimai: US Department of Agriculture
Improving HPC system performance by predicting job resources via supervised machine learning
M Tanash, B Dunn, D Andresen, W Hsu, H Yang, A Okanlawon
Practice and Experience in Advanced Research Computing 2019: Rise of the …, 2019
Įpareigojimai: US National Science Foundation, US National Institutes of Health
pLM4ACE: A protein language model based predictor for antihypertensive peptide screening
Z Du, X Ding, W Hsu, A Munir, Y Xu, Y Li
Food chemistry 431, 137162, 2024
Įpareigojimai: US Department of Agriculture
Do different mental models influence cybersecurity behavior? Evaluations via statistical reasoning performance
GL Brase, EY Vasserman, W Hsu
Frontiers in psychology 8, 1929, 2017
Įpareigojimai: US National Science Foundation
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
H Yang, CA Aguirre, MF De La Torre, D Christensen, L Bobadilla, ...
International Conference on Document Analysis and Recognition, 2019
Įpareigojimai: US Department of Energy
Ensemble prediction of job resources to improve system performance for slurm-based hpc systems
M Tanash, H Yang, D Andresen, W Hsu
Practice and Experience in Advanced Research Computing 2021: Evolution …, 2021
Įpareigojimai: US National Science Foundation, US National Institutes of Health
ResearchMaps. org for integrating and planning research
NJ Matiasz, J Wood, P Doshi, W Speier, B Beckemeyer, W Wang, W Hsu, ...
PloS one 13 (5), e0195271, 2018
Įpareigojimai: US National Institutes of Health
AMPRO-HPCC: A machine-learning tool for predicting resources on slurm HPC clusters
M Tanash, D Andresen, W Hsu
ADVCOMP... the... International Conference on Advanced Engineering Computing …, 2021
Įpareigojimai: US National Science Foundation, US National Institutes of Health
MATESC: Metadata-Analytic Text Extractor and Section Classifier for Scientific Publications.
F Maria, D La Torre, CA Aguirre, BAM Anshutz, WH Hsu
KDIR, 259-265, 2018
Įpareigojimai: US National Science Foundation, US Department of Energy
Abstractive text summarization of disaster-related document
NM Nafi, A Bose, S Khanal, D Caragea, WH Hsu
ISCRAM 2020 Conference Proceedings–17th International Conference on …, 2020
Įpareigojimai: US National Science Foundation
Towards Faster Annotation Interfaces for Learning to Filter in Information Extraction and Search.
CA Aguirre, S Coen, F Maria, D La Torre, WH Hsu, M Rys
IUI Workshops, 2018
Įpareigojimai: US National Science Foundation, US Department of Energy
Hpcgcn: a predictive framework on high performance computing cluster log data using graph convolutional networks
A Bose, H Yang, WH Hsu, D Andresen
2021 IEEE International Conference on Big Data (Big Data), 4113-4118, 2021
Įpareigojimai: US National Institutes of Health
Feature selection for learning to predict outcomes of compute cluster jobs with application to decision support
A Okanlawon, H Yang, A Bose, W Hsu, D Andresen, M Tanash
2020 International Conference on Computational Science and Computational …, 2020
Įpareigojimai: US National Institutes of Health
Evaluating the impact of uncertainty on risk prediction: Towards more robust prediction models
P Petousis, A Naeim, A Mosleh, W Hsu
AMIA Annual Symposium Proceedings 2018, 1461, 2018
Įpareigojimai: US National Science Foundation
Learning to filter documents for information extraction using rapid annotation
CA Aguirre, S Gullapalli, F Maria, A Lam, JL Weese, WH Hsu
2017 International Conference on Machine Learning and Data Science (MLDS), 85-90, 2017
Įpareigojimai: US National Science Foundation, US Department of Energy
Data Science (Dataying) for Early Childhood
SA Malallah, L Shamir, WH Hsu, JL Weese, S Alfailakawi
2023 ASEE Annual Conference & Exposition, 2023
Įpareigojimai: US National Science Foundation
Computational Thinking Pedagogical+ Framework for Early Childhood Education
S Malallah, L Shamir, WH Hsu, JL Weese, S Alfailakawi
2023 ASEE Annual Conference & Exposition, 2023
Įpareigojimai: US National Science Foundation
Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification
A Bose, WH Hsu
2023 International Conference on Machine Learning and Applications (ICMLA …, 2023
Įpareigojimai: US Department of Energy
Work in progress: Data explorer-Assessment data integration, analytics, and visualization for STEM education research
JL Weese, WH Hsu
Įpareigojimai: US National Science Foundation
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