Cargando…

Corrigendum: Opportunities for human factors in machine learning

Detalles Bibliográficos
Autores principales:	Baweja, Jessica A., Fallon, Corey K., Jefferson, Brett A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693493/ https://www.ncbi.nlm.nih.gov/pubmed/38050585 http://dx.doi.org/10.3389/frai.2023.1327954

Ejemplares similares

Opportunities for human factors in machine learning
por: Baweja, Jessica A., et al.
Publicado: (2023)

Corrigendum: Insights Into Co-Morbidity and Other Risk Factors Related to COVID-19 Within Ontario, Canada
por: Snider, Brett, et al.
Publicado: (2021)

Machine learning and deep learning approaches in IoT
por: Javed, Abqa, et al.
Publicado: (2023)

Predicting ward transfer mortality with machine learning
por: Lezama, Jose L., et al.
Publicado: (2023)

Corrigendum: Poultry diseases diagnostics models using deep learning
por: Machuve, Dina, et al.
Publicado: (2022)

Editorial: Machine Learning for Water Resources
por: Mariethoz, Gregoire, et al.
Publicado: (2021)

A Comparative Study of Machine Learning Methods for Persistence Diagrams
por: Barnes, Danielle, et al.
Publicado: (2021)

Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations
por: Göbel, Kyra, et al.
Publicado: (2022)

Generalizable Machine Learning in Neuroscience Using Graph Neural Networks
por: Wang, Paul Y., et al.
Publicado: (2021)

Leveraging explanations in interactive machine learning: An overview
por: Teso, Stefano, et al.
Publicado: (2023)

Using machine learning for healthcare treatment planning
por: Dubey, Snigdha, et al.
Publicado: (2023)

GDP Forecasting: Machine Learning, Linear or Autoregression?
por: Maccarrone, Giovanni, et al.
Publicado: (2021)

A Survey of Topological Machine Learning Methods
por: Hensel, Felix, et al.
Publicado: (2021)

Integration of AI and Machine Learning in Radiotherapy QA
por: Chan, Maria F., et al.
Publicado: (2020)

Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces
por: Hernández-Orozco, Santiago, et al.
Publicado: (2021)

Corrigendum: A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO(2))
por: Germuska, Michael, et al.
Publicado: (2021)

Corrigendum: The impact of pedagogical agents' gender on academic learning: a systematic review
por: Armando, Marjorie, et al.
Publicado: (2023)

Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning
por: Kurz, Daria, et al.
Publicado: (2021)

A systematic review on machine learning models for online learning and examination systems
por: Kaddoura, Sanaa, et al.
Publicado: (2022)

Classification model for accuracy and intrusion detection using machine learning approach
por: Agarwal, Arushi, et al.
Publicado: (2021)

Frost prediction using machine learning and deep neural network models
por: Talsma, Carl J., et al.
Publicado: (2023)

Roof type classification with innovative machine learning approaches
por: Ölçer, Naim, et al.
Publicado: (2023)

Supervised machine learning models for depression sentiment analysis
por: Obagbuwa, Ibidun Christiana, et al.
Publicado: (2023)

Identification of Scams in Initial Coin Offerings With Machine Learning
por: Karimov, Bedil, et al.
Publicado: (2021)

Impact of Box-Cox Transformation on Machine-Learning Algorithms
por: Blum, Luca, et al.
Publicado: (2022)

Applied Machine Learning for Stochastic Local Volatility Calibration
por: Hakala, Jürgen
Publicado: (2019)

Topology Applied to Machine Learning: From Global to Local
por: Adams, Henry, et al.
Publicado: (2021)

Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning
por: de Lacy, Nina, et al.
Publicado: (2022)

Corrigendum: DeepCarc: Deep learning-powered carcinogenicity prediction using model-level representation
por: Li, Ting, et al.
Publicado: (2022)

Predictive keywords: Using machine learning to explain document characteristics
por: Kyröläinen, Aki-Juhani, et al.
Publicado: (2023)

Accurately predicting hit songs using neurophysiology and machine learning
por: Merritt, Sean H., et al.
Publicado: (2023)

Machine learning algorithms in microbial classification: a comparative analysis
por: Wu, Yuandi, et al.
Publicado: (2023)

Predictions of bitcoin prices through machine learning based frameworks
por: Cocco, Luisanna, et al.
Publicado: (2021)

Survey on graph embeddings and their applications to machine learning problems on graphs
por: Makarov, Ilya, et al.
Publicado: (2021)

Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning
por: Luo, Wei
Publicado: (2021)

A United States Fair Lending Perspective on Machine Learning
por: Hall, Patrick, et al.
Publicado: (2021)

Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning
por: Martin, Charles Patrick, et al.
Publicado: (2020)

Fusion of text and graph information for machine learning problems on networks
por: Makarov, Ilya, et al.
Publicado: (2021)

Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations
por: Gabur, Iulian, et al.
Publicado: (2022)

Corrigendum: Trust Dynamics and Verbal Assurances in Human Robot Physical Collaboration
por: Alhaji, Basel, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_7ud439qjrt0flu17ooepd2808o