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Pearson correlation-based feature selection for document classification using balanced training
Documents are stored in a digital form across several organizations. Printing this amount of
data and placing it into folders instead of storing digitally is against the practical, economical …
data and placing it into folders instead of storing digitally is against the practical, economical …
Well-calibrated confidence measures for multi-label text classification with a large number of labels
We extend our previous work on Inductive Conformal Prediction (ICP) for multi-label text
classification and present a novel approach for addressing the computational inefficiency of …
classification and present a novel approach for addressing the computational inefficiency of …
Multiple voice disorders in the same individual: investigating handcrafted features, multi-label classification algorithms, and base-learners
Non-invasive acoustic analyses of voice disorders have been at the forefront of current
biomedical research. Usual strategies, essentially based on machine learning (ML) …
biomedical research. Usual strategies, essentially based on machine learning (ML) …
Joint binary neural network for multi-label learning with applications to emotion classification
H He, R ** study
Due to the mass availability of textual data on Web, text classification (TC), classifying texts
into predetermined sets becomes a spotlight for researchers. A number of TC applications …
into predetermined sets becomes a spotlight for researchers. A number of TC applications …
[HTML][HTML] A hybrid support vector machine algorithm for big data heterogeneity using machine learning
Big data technology has gained attention in all fields, particularly with regard to research
and financial institutions. This technology has changed the world tremendously …
and financial institutions. This technology has changed the world tremendously …
[PDF][PDF] Detecting Stance in Czech News Commentaries.
This paper describes our system created to detect stance in online discussions. The goal is
to identify whether the author of a comment is in favor of the given target or against. We …
to identify whether the author of a comment is in favor of the given target or against. We …
Comparison of Czech transformers on text classification tasks
In this paper, we present our progress in pre-training monolingual Transformers for Czech
and contribute to the research community by releasing our models for public. The need for …
and contribute to the research community by releasing our models for public. The need for …
Big Data distributed support vector machine
Data mining and machine learning (ML) methods are being used more than ever before in
cyber security. The use of machine learning (ML) is one of the potential solutions that may …
cyber security. The use of machine learning (ML) is one of the potential solutions that may …
Real-time resume classification system using linkedin profile descriptions
In the domain of online job recruitment, accurate job and resume classification is vital for
both the seeker and the recruiter. We have built an automatic text classification system that …
both the seeker and the recruiter. We have built an automatic text classification system that …