Machine learning assisted materials design and discovery for rechargeable batteries
Y Liu, B Guo, X Zou, Y Li, S Shi - Energy Storage Materials, 2020 - Elsevier
Abstract Machine learning plays an important role in accelerating the discovery and design
process for novel electrochemical energy storage materials. This review aims to provide the …
process for novel electrochemical energy storage materials. This review aims to provide the …
Machine learning in autistic spectrum disorder behavioral research: A review and ways forward
F Thabtah - Informatics for Health and Social Care, 2019 - Taylor & Francis
ABSTRACT Autistic Spectrum Disorder (ASD) is a mental disorder that retards acquisition of
linguistic, communication, cognitive, and social skills and abilities. Despite being diagnosed …
linguistic, communication, cognitive, and social skills and abilities. Despite being diagnosed …
Image based techniques for crack detection, classification and quantification in asphalt pavement: a review
Pavement condition information is a significant component in Pavement Management
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Automated breast cancer detection and classification using ultrasound images: A survey
Breast cancer is the second leading cause of death for women all over the world. Since the
cause of the disease remains unknown, early detection and diagnosis is the key for breast …
cause of the disease remains unknown, early detection and diagnosis is the key for breast …
A wrapper method for feature selection using support vector machines
We introduce a novel wrapper Algorithm for Feature Selection, using Support Vector
Machines with kernel functions. Our method is based on a sequential backward selection …
Machines with kernel functions. Our method is based on a sequential backward selection …
mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
This paper presents a hybrid filter–wrapper feature subset selection algorithm based on
particle swarm optimization (PSO) for support vector machine (SVM) classification. The filter …
particle swarm optimization (PSO) for support vector machine (SVM) classification. The filter …
Hybrid filter–wrapper feature selection for short-term load forecasting
Simultaneous feature selection and classification using kernel-penalized support vector machines
We introduce an embedded method that simultaneously selects relevant features during
classifier construction by penalizing each feature's use in the dual formulation of support …
classifier construction by penalizing each feature's use in the dual formulation of support …
Feature selection in bankruptcy prediction
CF Tsai - Knowledge-Based Systems, 2009 - Elsevier
For many corporations, assessing the credit of investment targets and the possibility of
bankruptcy is a vital issue before investment. Data mining and machine learning techniques …
bankruptcy is a vital issue before investment. Data mining and machine learning techniques …
Multi‐layer feature selection incorporating weighted score‐based expert knowledge toward modeling materials with targeted properties
Selecting proper descriptors or features is one of the central problems in exploring structure–
activity relationships of materials using machine learning models. The current feature …
activity relationships of materials using machine learning models. The current feature …