2021 13th International Conference on Knowledge and Systems Engineering (KSE)最新文献

Ship Classification in Remote Sensing Images using FastAI 基于FastAI的遥感图像船舶分类

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648787

Chittra Roungroongsom, O. Chitsobhuk

引用次数: 1

Recognizing modern Japanese magazines by combining Deep Learning with language models 将深度学习与语言模型相结合，识别现代日本杂志

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648643

Nhan Thien Nguyen, Dang Minh Nguyen, A. D. Le, T. Quan

{"title":"Recognizing modern Japanese magazines by combining Deep Learning with language models","authors":"Nhan Thien Nguyen, Dang Minh Nguyen, A. D. Le, T. Quan","doi":"10.1109/KSE53942.2021.9648643","DOIUrl":"https://doi.org/10.1109/KSE53942.2021.9648643","url":null,"abstract":"As one of the most culturally rich countries globally, Japan also has a rich history of magazines. In modern Japanese magazines, which were published during the 19-20th centuries, Japanese usage is similar to the current style of the contemporary Japanese language. However, most of those documents are not digitized but stored as images. Due to their importance to Japanese culture, history, and other socio-scientific topics, the problem of using computers to help identify these image-based modern magazines has been investigated from research and widely disseminated through the use of different methods in Deep Learning. However, these methods are still limited to achieve strong performance in recognizing handwriting images, especially uncommon Kanji characters. In this research, we address this problem by developing a deep learning-based language model and integrating it into the current OCR system for modern Japanese magazine documents. We also propose a combination strategy between the current Japanese OCR tool and our language model. The strategy will learn where the system should rely on OCR (e.g., Hiragana and Common kanji characters recognized correctly by OCR) or language model (uncommon Kanji characters are frequently recognized incorrectly by OCR, the system should rely on the language model). Our method enjoys visible improvement once experimented with real data.","PeriodicalId":130986,"journal":{"name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117330972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Building a Chatbot for Supporting the Admission of Universities 打造一个支持大学录取的聊天机器人

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648677

Minh-Tien Nguyen, Manh Tran-Tien, Anh Phan Viet, Huy-The Vu, Van-Hau Nguyen

引用次数: 3

Mining High Utility Sequences with a Novel Utility Function 利用一种新的效用函数挖掘高效用序列

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648660

Hanh-Thong Huynh, Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger

{"title":"Mining High Utility Sequences with a Novel Utility Function","authors":"Hanh-Thong Huynh, Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger","doi":"10.1109/KSE53942.2021.9648660","DOIUrl":"https://doi.org/10.1109/KSE53942.2021.9648660","url":null,"abstract":"Mining high utility sequential patterns (HUSP) is a popular data mining task. The goal is to find all subsequences that yield a high utility (e.g. high profit) in a quantitative sequence database (QSDB). Traditional algorithms for this task have many uses but a major limitation is that they rely on the maximum or minimum utility measures for calculating the utility of a pattern, thus assuming either a best or worst case scenario. These measures are unsuitable for many real-life applications such as business decision-making. To address this issue, this paper introduces a novel utility function (NUF) to calculate the utility of a sequence in each input sequence, which provides a trade-off between the above two extreme cases. A novel upper bound on NUF is designed as well as search space pruning strategies to eliminate unpromising candidate patterns early. These contributions are integrated into a novel efficient algorithm named FHNewUSM to discover frequent HUSPs with NUF. An experimental study with both real-life and synthetic databases shows that the proposed algorithm is efficient for mining HUSPs with NUF in terms of execution time, memory consumption and scalability.","PeriodicalId":130986,"journal":{"name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133349063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Esports Game Updates and Player Perception: Data Analysis of PUBG Steam Reviews 电子竞技游戏更新和玩家感知:PUBG Steam评论的数据分析

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648670

Yang Yu, Ba-Hung Nguyen, Fangyu Yu, V. Huynh

{"title":"Esports Game Updates and Player Perception: Data Analysis of PUBG Steam Reviews","authors":"Yang Yu, Ba-Hung Nguyen, Fangyu Yu, V. Huynh","doi":"10.1109/KSE53942.2021.9648670","DOIUrl":"https://doi.org/10.1109/KSE53942.2021.9648670","url":null,"abstract":"Game updates are essential because they usually contain critical patches to improve the players' experience. Compared with traditional online games, esports games abandon the storyline and emphasize the players' competitive motivation. As a result, esports games need to be updated more frequently to extend the game development life cycle. Meanwhile, developers get feedback from players' reviews on esports games to improve the game experience, services, or adjust operating strategies. However, there has been little research conducted on the influence of esports game updates on player reviews. In this study, we aim to determine the influence of the monthly update on the player community by carrying out an analysis of PUBG, one of the representatives of esports games, via topic modeling. In total, we collect approximately 300,000 reviews on Steam. Our contributions in this paper are: (i) we use the LDA model to infer and group reviews into 14 topics, (ii) we analyze the influence from esports game updates on topics prevalence over time, and (iii) we conduct sentiment analysis to reveal players' satisfaction levels with each topic.","PeriodicalId":130986,"journal":{"name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132721266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

How Curriculum Learning Performs on AMR Parsing 课程学习如何影响AMR解析

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648646

Minh Q. Bui, Vu D. Tran, Nguyen Ha Thanh, Binh Dang, Le-Minh Nguyen

引用次数: 0

Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation 基于社交的物品推荐中变压器层改进图卷积网络

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648823

T. Hoang, T. Pham, Viet-Cuong Ta

引用次数: 2

Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion 小人脸数据集的数据增强与生成对抗网络反演人脸验证

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648720

Dinh Tan Nguyen, Cao Truong Tran, Trung Thanh Nguyen, Cao Bao Hoang, Van Phu Luu, Ba Ngoc Nguyen, Pou Ian Cheong

{"title":"Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion","authors":"Dinh Tan Nguyen, Cao Truong Tran, Trung Thanh Nguyen, Cao Bao Hoang, Van Phu Luu, Ba Ngoc Nguyen, Pou Ian Cheong","doi":"10.1109/KSE53942.2021.9648720","DOIUrl":"https://doi.org/10.1109/KSE53942.2021.9648720","url":null,"abstract":"One of the most challenging issues in the utilisation of machine learning in face datasets is the lack of data, especially when there is inadequate collection of datasets. On one hand, the cost of collecting new face images could be very costly and it depend heavily on the resources and the availability of the data collection. On the other hand, insufficient face datasets could lead to over-fitting issues in any deep learning models especially in the face verification tasks as it requires adequate amount of face dataset. Nevertheless, Generative Adversarial Networks (GANs) offers a better way to augment the data by generating synthetic face images based on the close-distributed pixels of real images. With this intention, GAN inversion was introduced to produce better performance comparing to the previous GAN concepts; by inverting a given face image back into the latent space of a pretrained GAN model with low loss transmissions. This paper demonstrates the feasibility of GAN inversion during the face verification process. We will also illustrate the comparison between previous GAN models, and traditional machine learning augmentation methods in face images generation.","PeriodicalId":130986,"journal":{"name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133731197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Influence Prediction on Social Media Network through Contents and Interaction Behaviors using Attention-based Knowledge Graph 基于注意的知识图谱:基于内容和交互行为的社交媒体网络影响预测

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648712

Q. Tran, H. Nguyen, Binh T. Nguyen, Vuong T. Pham, Trong T. Le

引用次数: 5

AimeLaw at ALQAC 2021: Enriching Neural Network Models with Legal-Domain Knowledge ALQAC 2021:用法律领域知识丰富神经网络模型

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648636

Ngo Quang Huy, Nguyen Manh Duc Tuan, Nguyen Anh Duong, Pham Quang Nhat Minh

引用次数: 5