Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.133
Abstract: Abstract This paper explores widely the data preparation stage within the process of knowledge discovery and data mining via feature subset selection in the context of two very well-known neural models: radial basis function neural… read more here.
Keywords: wrapper feature; feature subset; neural networks; feature ... See more keywords
Customized binary and multi-level HfO2−x-based memristors tuned by oxidation conditions
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-09413-9
Abstract: The memristor is a promising candidate for the next generation non-volatile memory, especially based on HfO2−x, given its compatibility with advanced CMOS technologies. Although various resistive transitions were reported independently, customized binary and multi-level memristors… read more here.
Keywords: level hfo2; multi level; binary multi; customized binary ... See more keywords
A Binary Multi-Objective Chimp Optimizer With Dual Archive for Feature Selection in the Healthcare Domain
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DOI: 10.1109/access.2021.3138403
Abstract: Medical datasets frequently include vast feature sets with numerous features that are related to one another. As a result, the curse of dimensionality affects learning from a medical dataset to discover significant characteristics, making it… read more here.
Keywords: multi objective; objective chimp; feature; dual archive ... See more keywords
Population Initialization Factor in Binary Multi-Objective Grey Wolf Optimization for Features Selection
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DOI: 10.1109/access.2022.3218056
Abstract: Features selection methods not only reduce the dimensionality, but also improve significantly the classification results. In this study, the effect of the initialization population using the population factor has been explored. There are twenty wolves… read more here.
Keywords: multi objective; grey wolf; objective grey; features selection ... See more keywords
A Hybrid Sampling Approach for Imbalanced Binary and Multi-Class Data Using Clustering Analysis
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DOI: 10.1109/access.2022.3218463
Abstract: Unequal data distribution among different classes usually cause a class imbalance problem. Due to the class imbalance, the classification models become biased toward the majority class and misclassify the minority class. Class imbalance issue becomes… read more here.
Keywords: class imbalance; class; multi class; cluster ... See more keywords
Binary Multi-View Clustering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2847335
Abstract: Clustering is a long-standing important research problem, however, remains challenging when handling large-scale image data from diverse sources. In this paper, we present a novel Binary Multi-View Clustering (BMVC) framework, which can dexterously manipulate multi-view… read more here.
Keywords: view clustering; multi view; multi; image ... See more keywords