9 Result(s)
within
Conference Paper
Paweł Ksieniewicz
Theory of Computation
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Chapter and Conference Paper
Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis
The following work aims to propose a new method of constructing an ensemble of classifiers diversified by the appropriate selection of the problem subspace. The experiments were performed on a numerical datase...
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Chapter and Conference Paper
Sentiment Analysis for Fake News Detection by Means of Neural Networks
The problem of fake news has become one of the most challenging issues having an impact on societies. Nowadays, false information may spread quickly through social media. In that regard, fake news needs to be...
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Chapter and Conference Paper
Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification
Learning from imbalanced datasets is a challenging task for standard classification algorithms. In general, there are two main approaches to solve the problem of imbalanced data: algorithm-level and data-level...
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Chapter and Conference Paper
Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks
The following paper considers pattern recognition-aided optimization of complex and relevant problem related to optical networks. For that problem, we propose a four-step dedicated optimization approach that ...
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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
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...
