Search Results - "Wongthanavasu, Sartra"

Deep Cellular Automata-Based Feature Extraction for Classification of the Breast Cancer Image by Tangsakul, Surasak, Wongthanavasu, Sartra

“…Feature extraction is an important step in classification. It directly results in an improvement of classification performance. Recent successes of…”
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Single Image Haze Removal Using Deep Cellular Automata Learning by Tangsakul, Surasak, Wongthanavasu, Sartra

“…Deep learning is one of the most popular approaches to machine learning, which has been widely used for classification. In this paper, we propose a novel…”
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An Efficient Cellular Automata-Based Classifier with Variance Decision Table by Wanna, Pattapon, Wongthanavasu, Sartra

“…Classification is an important task of machine learning for solving a wide range of problems in conforming patterns. In the literature, machine learning…”
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Dynamic Collaborative Filtering Based on User Preference Drift and Topic Evolution by Wangwatcharakul, Charinya, Wongthanavasu, Sartra

“…Recommender systems are efficient tools for online applications; these systems exploit historical user ratings on items to make recommendations of items to…”
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BiLSTCAN: A Novel SRS-Based Bidirectional Long Short-Term Capsule Attention Network for Dynamic User Preference and Next-Item Recommendation by Kannikaklang, Nikorn, Thamviset, Wachirawut, Wongthanavasu, Sartra

“…Numerous research efforts are endeavoring to boost the performance of dynamic user preferences and next-item recommendations, which are pivotal tasks within…”
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BiHGCA: A Novel SRS-Based Bidirectional Hyperbolic Graph Capsule Co-Attention Network for User Preference Drift by Kannikaklang, Nikorn, Thamviset, Wachirawut, Wongthanavasu, Sartra

“…Social and sequential recommendations employing bidirectional attention architecture represent a notable advancement in deep learning, enhancing recommender…”
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Lagrangian Duality with ELM for Word Sense Multiprototype Discovery by Liang, Ping, Wongthanavasu, Sartra

“…Homonymy and polysemy are major issues in word sense disambiguation. Combining with multilayer neural network, word sense multiprototyping tackles the issues…”
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Information extraction for deep web using repetitive subject pattern by Thamviset, Wachirawut, Wongthanavasu, Sartra

“…In this paper, we propose an information extraction (IE) system for extracting data records from semi-structured documents on the Deep Web using a promising…”
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A novel temporal recommender system based on multiple transitions in user preference drift and topic review evolution by Wangwatcharakul, Charinya, Wongthanavasu, Sartra

“…Recommender systems are challenging research problems being exploited to suggest new items or services, such as books, music and movies, and even people, to…”
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An efficient brain tumor segmentation based on cellular automata and improved tumor-cut algorithm by Sompong, Chaiyanan, Wongthanavasu, Sartra

“…•The novel gray-level co-occurrence matrix based cellular automata (GLCM-CA) for image transformation was proposed.•We proposed Improved Tumor-Cut algorithm…”
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Attribute reduction with fuzzy divergence-based weighted neighborhood rough sets by Thuy, Nguyen Ngoc, Wongthanavasu, Sartra

“…Neighborhood rough sets are well-known as an interesting approach for attribute reduction in numerical/continuous data tables. Nevertheless, in most existing…”
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Hybrid linear matrix factorization for topic-coherent terms clustering by Liang, Ping, Wongthanavasu, Sartra

“…•We propose a novel Karhunen–Loève Transformation (KLT) for dimension reduction.•Karhunen–Loève expansion based on Wiener process on KLT results for…”
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Hybrid filter–wrapper attribute selection with alpha-level fuzzy rough sets by Thuy, Nguyen Ngoc, Wongthanavasu, Sartra

“…Selection of important attributes/features from decision information systems plays a vital role in data mining and machine learning tasks. It is regarded as a…”
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A Novel Feature Selection Method for High-Dimensional Mixed Decision Tables by Thuy, Nguyen Ngoc, Wongthanavasu, Sartra

“…Attribute reduction, also called feature selection, is one of the most important issues of rough set theory, which is regarded as a vital preprocessing step in…”
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On reduction of attributes in inconsistent decision tables based on information entropies and stripped quotient sets by Thuy, Nguyen Ngoc, Wongthanavasu, Sartra

“…•We propose a proposal for attribute reduction based on stripped quotient sets.•The proposed proposal has solid theoretical background and efficient…”
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A new approach for reduction of attributes based on stripped quotient sets by Thuy, Nguyen Ngoc, Wongthanavasu, Sartra

“…•We propose an original method for attribute reduction based on stripped quotient sets.•The proposed method has solid theoretical background and…”
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An efficient stripped cover-based accelerator for reduction of attributes in incomplete decision tables by Thuy, Nguyen Ngoc, Wongthanavasu, Sartra

“…Attribute reduction in incomplete decision tables plays an extremely important role in machine learning, data mining, pattern recognition, especially for…”
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A cellular automata-based learning method for classification by Wongthanavasu, Sartra, Ponkaew, Jetsada

“…•We highlighted the main impact and significant in abstract.•We augmented a separate section regarding theoretical analysis.•We rewrote the sections of…”
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Speech emotion recognition using Support Vector Machines by Seehapoch, Thapanee, Wongthanavasu, Sartra

“…Automatic recognition of emotional states from human speech is a current research topic with a wide range. In this paper an attempt has been made to recognize…”
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A Hybrid Recommender System for Improving Rating Prediction of Movie Recommendation by Kannikaklang, Nikorn, Wongthanavasu, Sartra, Thamviset, Wachirawut

“…Because of COVID-19 pandemic, online movies are now extremely popular. While the movie theaters have not serviced and people are staying quarantine, movies are…”
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