Offloading machine learning to programmable data planes: A systematic survey
The demand for machine learning (ML) has increased significantly in recent decades,
enabling several applications, such as speech recognition, computer vision, and …
enabling several applications, such as speech recognition, computer vision, and …
[PDF][PDF] Meta-learning
J Vanschoren - Automated machine learning: methods, systems …, 2019 - library.oapen.org
Meta-learning, or learning to learn, is the science of systematically observing how different
machine learning approaches perform on a wide range of learning tasks, and then learning …
machine learning approaches perform on a wide range of learning tasks, and then learning …
A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE‐ENN Oversampling Technique and Hyperparameter …
M Muntasir Nishat, F Faisal, I Jahan Ratul… - Scientific …, 2022 - Wiley Online Library
Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …
body due to impaired contractile properties of the muscles of the heart. Like any other …
Amlb: an automl benchmark
Comparing different AutoML frameworks is notoriously challenging and often done
incorrectly. We introduce an open and extensible benchmark that follows best practices and …
incorrectly. We introduce an open and extensible benchmark that follows best practices and …
A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique
Concrete which is the most commercialized construction material and thus it plays a key role
in this era of development and hence its evolution is of utmost importance and therefore the …
in this era of development and hence its evolution is of utmost importance and therefore the …
EEG signal processing and supervised machine learning to early diagnose Alzheimer's disease
Electroencephalography (EEG) signal analysis is a fast, inexpensive, and accessible
technique to detect the early stages of dementia, such as Mild Cognitive Impairment (MCI) …
technique to detect the early stages of dementia, such as Mild Cognitive Impairment (MCI) …
A survey of machine learning techniques for video quality prediction from quality of delivery metrics
A growing number of video streaming networks are incorporating machine learning (ML)
applications. The growth of video streaming services places enormous pressure on network …
applications. The growth of video streaming services places enormous pressure on network …
Intelligent fault diagnosis of rotary machinery by convolutional neural network with automatic hyper-parameters tuning using bayesian optimization
Intelligent fault diagnosis can be related to applications of machine learning theories to
machine fault diagnosis. Although there is a large number of successful examples, there is a …
machine fault diagnosis. Although there is a large number of successful examples, there is a …
From data to harvest: Leveraging ensemble machine learning for enhanced crop yield predictions across Canada amidst climate change
Accurate crop yield predictions are crucial for farmers and policymakers. Despite the
widespread use of ensemble machine learning (ML) models in computer science, their …
widespread use of ensemble machine learning (ML) models in computer science, their …
Improving performance with hybrid feature selection and ensemble machine learning techniques for code smell detection
S Jain, A Saha - Science of Computer Programming, 2021 - Elsevier
Maintaining large and complex software is a significant task in IT industry. One reason for
that is the development of code smells which are design flaws that lead to future bugs and …
that is the development of code smells which are design flaws that lead to future bugs and …