10 Result(s)
within
Conference Paper
Chih-Cheng Hung
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Chapter and Conference Paper
An Unpaired Cross-Modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and Cochlea
The crossMoDA challenge aims to automatically segment the vestibular schwannoma (VS) tumor and cochlea regions of unlabeled high-resolution T2 scans by leveraging labeled contrast-enhanced T1 scans. The 2022 e...
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Chapter and Conference Paper
Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach
Code smells (a.k.a. anti-patterns) are manifestations of poor design solutions that could deteriorate the software maintainability and evolution. Despite the high number of existing detection methods, the issu...
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Chapter and Conference Paper
Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem
Feature selection aims at selecting relevant features from the original feature set, but these features do not have the same degree of importance. This can be achieved by feature weighting, which is a method f...
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Chapter and Conference Paper
Bi-MOCK: A Multi-objective Evolutionary Algorithm for Bi-clustering with Automatic Determination of the Number of Bi-clusters
Bi-clustering is one of the main tasks in data mining with many possible applications in bioinformatics, pattern recognition, text mining, just to cite a few. It refers to simultaneously partitioning a data ma...
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Chapter and Conference Paper
Improving Image Segmentation Algorithms with Differential Evolution
This paper proposes three algorithms based on the K-means, the simple competitive learning (SCL) algorithm, and the fuzzy c-means algorithm with differential evolution algorithm for image classification. Due t...
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Chapter and Conference Paper
The Handicap Principle for Trust in Computer Security, the Semantic Web and Social Networking
Communication is a fundamental function of life, and it exists in almost all living things: from single-cell bacteria to human beings. Communication, together with competition and cooperation,are...
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Chapter and Conference Paper
A Hybrid Rough K-Means Algorithm and Particle Swarm Optimization for Image Classification
This paper proposes a hybrid rough K-means algorithm for image classification. The rough set theory is used to establish the lower and upper bound for data clustering in the K-means algorithm. Then, the partic...
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Chapter and Conference Paper
Using Ant Colony Optimization and Self-organizing Map for Image Segmentation
In this study, ant colony optimization (ACO) is integrated with the self-organizing map (SOM) for image segmentation. A comparative study with the combination of ACO and Simple Competitive Learning (SCL) is pr...
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Chapter and Conference Paper
Hybridization of the Ant Colony Optimization with the K-Means Algorithm for Clustering
In this paper the novel concept of ACO and its learning mechanism is integrated with the K-means algorithm to solve image clustering problems. The learning mechanism of the proposed algorithm is obtained by us...
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Chapter and Conference Paper
Image Segmentation Using Dynamic Run-Length Coding Technique
In this study, a new segmentation algorithm based on a modified Dynamic Window-based gray-level Run-Length Coding (DW-RLC) applied to neighboring pixels is proposed. The method is applied to gray scale images,...
