Cargando…

Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks

Detalles Bibliográficos
Autores principales:	Venkatachalam, Shanmuga, Nair, Harideep, Zeng, Ming, Tan, Cathy Shunwen, Mengshoel, Ole J., Shen, John Paul
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Big Data
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037531/ https://www.ncbi.nlm.nih.gov/pubmed/36968617 http://dx.doi.org/10.3389/fdata.2023.1170820

Ejemplares similares

SemNet: Learning semantic attributes for human activity recognition with deep belief networks
por: Venkatachalam, Shanmuga, et al.
Publicado: (2022)

SemNet: Using Local Features to Navigate the Biomedical Concept Graph
por: Sedler, Andrew R., et al.
Publicado: (2019)

Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0
por: Kirkpatrick, Anna, et al.
Publicado: (2022)

Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing
por: Wang, Dongjie, et al.
Publicado: (2021)

Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification
por: Chen, Wen-Hao, et al.
Publicado: (2020)

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers
por: Düring, Marten, et al.
Publicado: (2023)

MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed
por: Ebeid, Islam Akef
Publicado: (2022)

3D bi-directional transformer U-Net for medical image segmentation
por: Fu, Xiyao, et al.
Publicado: (2023)

Corrigendum: The Rise of Populism and the Reconfiguration of the German Political Space
por: Olbrich, Eckehard, et al.
Publicado: (2022)

Corrigendum: Applications and techniques for fast machine learning in science
por: Deiana, Allison McCarn, et al.
Publicado: (2023)

Modeling and analyzing the action process of monoamine hormones in depression: a Petri nets-based intelligent approach
por: Wang, Xuyue, et al.
Publicado: (2023)

Corrigendum: FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques
por: Gharibi, Mohamed, et al.
Publicado: (2020)

Corrigendum: Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples
por: Nguyen, Thanh M., et al.
Publicado: (2021)

The Role of Cue Utilization and Cognitive Load in the Recognition of Phishing Emails
por: Nasser, George, et al.
Publicado: (2020)

Evaluation of methods for assigning causes of death from verbal autopsies in India
por: Benara, Sudhir K., et al.
Publicado: (2023)

Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems
por: Thompson, Jan, et al.
Publicado: (2021)

Biosecurity in the age of Big Data: a conversation with the FBI
por: Kozminski, Keith G.
Publicado: (2015)

The role of functional data in interpreting the effects of genetic variation
por: Young, David L., et al.
Publicado: (2015)

Big Data in Caenorhabditis elegans: quo vadis?
por: Hutter, Harald, et al.
Publicado: (2015)

Expression, sorting, and segregation of Golgi proteins during germ cell differentiation in the testis
por: Au, Catherine E., et al.
Publicado: (2015)

Proteome-wide quantitative multiplexed profiling of protein expression: carbon-source dependency in Saccharomyces cerevisiae
por: Paulo, Joao A., et al.
Publicado: (2015)

Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC
por: Baig, Furqan, et al.
Publicado: (2020)

Named Data Networking for Genomics Data Management and Integrated Workflows
por: Ogle, Cameron, et al.
Publicado: (2021)

Sonographic Diagnosis of COVID-19: A Review of Image Processing for Lung Ultrasound
por: McDermott, Conor, et al.
Publicado: (2021)

User, Usage and Usability: Redefining Human Centric Cyber Security
por: Grobler, Marthie, et al.
Publicado: (2021)

A Framework for Contractual Graphs
por: Murimi, Renita M.
Publicado: (2021)

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
por: Iiyama, Yutaro, et al.
Publicado: (2021)

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
por: Zeng, Zheni, et al.
Publicado: (2021)

Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security
por: Qayyum, Adnan, et al.
Publicado: (2020)

Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region
por: Mishra, Umakant, et al.
Publicado: (2020)

Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification
por: Nartowt, Bradley J., et al.
Publicado: (2020)

Twitter Response to Munich July 2016 Attack: Network Analysis of Influence
por: Bermudez, Ivan, et al.
Publicado: (2019)

TGx-DDI, a Transcriptomic Biomarker for Genotoxicity Hazard Assessment of Pharmaceuticals and Environmental Chemicals
por: Li, Heng-Hong, et al.
Publicado: (2019)

Parallel Processing Strategies for Big Geospatial Data
por: Werner, Martin
Publicado: (2019)

A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture
por: Babaeian, Ebrahim, et al.
Publicado: (2019)

Data Mining Climate Variability as an Indicator of U.S. Natural Gas
por: Stuivenvolt-Allen, Jacob, et al.
Publicado: (2019)

Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model
por: Mladenova, Iliana E., et al.
Publicado: (2020)

R*-Grove: Balanced Spatial Partitioning for Large-Scale Datasets
por: Vu, Tin, et al.
Publicado: (2020)

Novel Criteria for When and How to Exit a COVID-19 Pandemic Lockdown
por: Li, Chenyu, et al.
Publicado: (2020)

AI for Not Bad
por: Moore, Jared
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_qg9ppa8tqdln448t81d0afuu39