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Ramya Krishna Manugunta, Rytis Maskeliunas and Robertas Dama?evicius
Semantic segmentation is the task of clustering together parts of an image that belong to the same object class. Semantic segmentation of webpages is important for inferring contextual information from the webpage. This study examines and compares deep l...
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Goran Mato?evic, Jasminka Dob?a and Dunja Mladenic
This paper presents a novel approach of using machine learning algorithms based on experts? knowledge to classify web pages into three predefined classes according to the degree of content adjustment to the search engine optimization (SEO) recommendation...
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Chao Song, Xinyu Gao, Yongqian Wang, Jinhai Li, Lifeng Fan, Xiaohuang Qin, Qiao Zhou, Zhongyi Wang and Lan Huang
Many physiology and bioinformatics research institutions and websites have opened their own data analysis services and other related Web services. It is therefore very important to be able to quickly and effectively select and extract features from the W...
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Hong Wang, Qingsong Xu and Lifeng Zhou
To surface the Deep Web, one crucial task is to predict whether a given web page has a search interface (searchable HyperText Markup Language (HTML) form) or not. Previous studies have focused on supervised classification with labeled examples. However, ...
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Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier and Daniel Massicotte
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applied ma...
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Xin Tong, Bo Jin, Jingya Wang, Ying Yang, Qiwei Suo and Yong Wu
In recent years, the number of malicious web pages has increased dramatically, posing a great challenge to network security. While current machine learning-based detection methods have emerged as a promising alternative to traditional detection technique...
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klaus Solberg Söilen
For the upcoming conference on Intelligence Studies at ICI 2020 in Bad Nauheim, Germany the focus of this issue of JISIB is on collective intelligence and foresight. The first two papers by Søilen and Almedia and Lesca deal with collective intelligence f...
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