7 Result(s)
within
Conference Paper
Paweł Ksieniewicz
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
Machine Learning Methods for Fake News Classification
The problem of the fake news publication is not new and it already has been reported in ancient ages, but it has started having a huge impact especially on social media users. Such false information should be...
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Chapter and Conference Paper
SMOTE Algorithm Variations in Balancing Data Streams
From one year to another, more and more vast amounts of data is being created in different fields of application. Great deal of those sources require real-time processing and analyzing, which leads to increas...
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Chapter and Conference Paper
Imbalance Reduction Techniques Applied to ECG Classification Problem
In this work we explored capabilities of improving deep learning models performance by reducing the dataset imbalance. For our experiments a highly imbalanced ECG dataset MIT-BIH was used. Multiple approaches ...
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Chapter and Conference Paper
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification
Imbalanced data classification is still a focus of intense research, due to its ever-growing presence in the real-life decision tasks. In this article, we focus on a classifier ensemble for imbalanced data cl...
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Chapter and Conference Paper
Imbalanced Data Classification Based on Feature Selection Techniques
The difficulty of the many classification tasks lies in the analyzed data nature, as disproportionate number of examples from different class in a learning set. Ignoring this characteristics causes that canoni...
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Chapter and Conference Paper
Combined Classifier Based on Quantized Subspace Class Distribution
Following paper presents Exposer Ensemble (ee), being a combined classifier based on the original model of quantized subspace class distribution. It presents a method of establishing and processing the Planar Exp...
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Chapter and Conference Paper
Blurred Labeling Segmentation Algorithm for Hyperspectral Images
This work is focusing on the hyperspectral imaging classification, which is nowadays a focus of intense research. The hyperspectral imaging is widely used in agriculture, mineralogy, or food processing to enum...
