Learning Curves Associated With Robotic Total Hip Arthroplasty: A Scoping Review [PDF]
Orthopaedic SurgeryIntroduction Robotic total hip arthroplasty (rTHA) is gaining widespread adoption, yet the learning curve (LC) associated with its implementation remains uncertain.
Abith Ganesh Kamath +3 more
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Mapping the learning curves of deep learning networks. [PDF]
PLoS Computational BiologyThere is an important challenge in systematically interpreting the internal representations of deep neural networks (DNNs). Existing techniques are often less effective for non-tabular tasks, or they primarily focus on qualitative, ad-hoc interpretations
Yanru Jiang, Rick Dale
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How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms [PDF]
Malaria JournalBackground Machine learning algorithms have been used to predict malaria risk and severity, identify immunity biomarkers for malaria vaccine candidates, and determine molecular biomarkers of antimalarial drug resistance.
Sophie G. Zaloumis +2 more
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Overview of Machine Learning Process Modelling
Entropy, 2021 Much research has been conducted in the area of machine learning algorithms; however, the question of a general description of an artificial learner’s (empirical) performance has mainly remained unanswered.
Boštjan Brumen +2 more
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Investigation and Comparative Analysis of Learning Curve Models on Construction Productivity: The Case of Caisson Fabrication Process [PDF]
Journal of Engineering, Project, and Production Management, 2020 Learning curves in construction operations analysis is deemed as one of the main factors that determine the variation of on-site productivity and is always taken into account during the planning and estimation stage. This research attempts the assessment
Panagiota Ralli +3 more
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An Attempt at Describing Learning Curves for a Complex Sub-Task in Reading Acquisition
ALSIC: Apprentissage des Langues et Systèmes d'Information et de Communication, 2022 Learning curves are a well-known phenomenon in learning and describe the oscillation between correct and incorrect performance that precedes mastery. It demonstrates that making mistakes is part of the learning process.
Hannah Kermes, Kay Berkling
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Frontiers in Oncology, 2023 ObjectivesVideo-assisted thoracoscopic lobectomy has become the preferred surgical approach in experienced centers, and uniportal approaches are becoming increasingly used.
Zuodong Song +4 more
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Comparative study of laparoscopic radical gastrectomy and open radical gastrectomy
Journal of Minimal Access Surgery, 2020 Introduction: At present, the main treatment of gastric cancer is surgical resection combined with radiotherapy and chemotherapy, the most important part of which is radical gastrectomy.
Jie Jiao +6 more
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Automatic Evaluation of Neural Network Training Results
Computers, 2023 This article is dedicated to solving the problem of an insufficient degree of automation of artificial neural network training. Despite the availability of a large number of libraries for training neural networks, machine learning engineers often have to
Roman Barinov +3 more
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Workforce Learning Curves for Human-Based Assembly Operations: A State-of-the-Art Review
Applied Sciences, 2022 In this state-of-the-art review, the authors explore the recent advancements in the topics of learning curve models and their estimation methods for manual operations and processes as well as the data collection and monitoring technologies used for ...
Carlos Peña +2 more
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