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ECG CLASSIFICATION COMPARISON BETWEEN MF-DFA AND MF-DXA
Fractals, 2021In this paper, automatic electrocardiogram (ECG) recognition and classification algorithms based on multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DXA) were studied. As human heart is a complex, nonlinear, chaotic system, using multifractal analysis to analyze chaotic systems is also a ...
JIAN WANG, WEI SHAO, JUNSEOK KIM
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Two distinct variants of mycosis fungoides (MF): Folliculotropic MF and erythrodermic MF
The Journal of Dermatology, 2019AbstractMycosis fungoides (MF) is the most frequent type of cutaneous T‐cell lymphoma. Folliculotropic MF (fMF) and erythrodermic MF (eMF) are two distinct variants of MF. Both variants have been considered aggressive and most cases are less responsive to standard skin‐directed therapies than classical MF.
Hiroaki Kamijo, Makoto Sugaya
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Proceedings of the June 7-10, 1982, national computer conference on - AFIPS '82, 1982
This paper presents the design goals and architecture of the Modular Formatting System, currently being developed at West Virginia University. MFS applies to formatters the principles of separation of function used in many successful program systems.
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This paper presents the design goals and architecture of the Modular Formatting System, currently being developed at West Virginia University. MFS applies to formatters the principles of separation of function used in many successful program systems.
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Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015
Many big data applications require accurate classification of objects into one of possibly thousands or millions of categories. Such classification tasks are challenging due to issues such as class imbalance, high testing cost, and model interpretability problems. To overcome these challenges, we propose a novel hierarchical learning method known as MF-
Lei Liu, Pang-Ning Tan, Xi Liu
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Many big data applications require accurate classification of objects into one of possibly thousands or millions of categories. Such classification tasks are challenging due to issues such as class imbalance, high testing cost, and model interpretability problems. To overcome these challenges, we propose a novel hierarchical learning method known as MF-
Lei Liu, Pang-Ning Tan, Xi Liu
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Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2019
Twitter user geolocation detection can inform and benefit a range of downstream geospatial tasks such as event and venue recommendation, local search, and crisis planning and response. In this paper, we take into account user shared tweets as well as their social network, and run extensive comparative studies to systematically analyze the impact of a ...
Parham Hamouni +2 more
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Twitter user geolocation detection can inform and benefit a range of downstream geospatial tasks such as event and venue recommendation, local search, and crisis planning and response. In this paper, we take into account user shared tweets as well as their social network, and run extensive comparative studies to systematically analyze the impact of a ...
Parham Hamouni +2 more
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Proceedings of the 29th Annual ACM Symposium on Applied Computing, 2014
Automatic image annotation provides textual description to images based on content and context information. Since images may present large variability, image annotation methods often employ multiple extractors to represent visual content considering local and global features under different visual aspects.
Alceu Ferraz Costa +2 more
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Automatic image annotation provides textual description to images based on content and context information. Since images may present large variability, image annotation methods often employ multiple extractors to represent visual content considering local and global features under different visual aspects.
Alceu Ferraz Costa +2 more
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Journal of Clinical Psychology, 1972
ABSTRACT This study sought, through a factor analysis of 450 masculine-feminine (MF) items from nine established sources such as the Minnesota Multiphasic Personality Inventory (MNK), to determine whether in a college sample of 523 students there were a small number of factors common to both sexes, or if the MF scale consisted of so many weak factors ...
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ABSTRACT This study sought, through a factor analysis of 450 masculine-feminine (MF) items from nine established sources such as the Minnesota Multiphasic Personality Inventory (MNK), to determine whether in a college sample of 523 students there were a small number of factors common to both sexes, or if the MF scale consisted of so many weak factors ...
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Proceedings of the 30th ACM International Conference on Multimedia, 2022
Yufan Zhang, Junkai Man, Peng Sun
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Yufan Zhang, Junkai Man, Peng Sun
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