2021 13th International Conference on Knowledge and Systems Engineering (KSE)最新文献_第3页

IoT-Based Touchless Remote Control for Robotic Arm Using Kinect 基于物联网的Kinect机械臂非接触式遥控

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648812

Chanintorn Chalermsuk, Natthawat Saengsupphaseth, Nuth Otanasap, Sorranut Chetsurakul, Veerapong Kanchanawongkul, Pornpimol Bangkomkun

引用次数: 1

Aspect-Based Sentiment Analysis Using Mini-Window Locating Attention for Vietnamese E-commerce Reviews 基于小窗口定位注意力的越南电子商务评论情感分析

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648637

Binh Le-Minh, Thi-Phuong Le, K. Tran, Khanh-Huyen Bui, Hoang-Quynh Le, Duy-Cat Can, Hung Nguyen Chung Thanh, Mai-Vu Tran

引用次数: 3

Modeling Multi-Intent Basket Sequences for Next-Basket Recommendation 下一篮推荐的多意图篮序列建模

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648773

Quoc-Viet Pham Hoang, Duc-Trong Le

{"title":"Modeling Multi-Intent Basket Sequences for Next-Basket Recommendation","authors":"Quoc-Viet Pham Hoang, Duc-Trong Le","doi":"10.1109/KSE53942.2021.9648773","DOIUrl":"https://doi.org/10.1109/KSE53942.2021.9648773","url":null,"abstract":"Recommendation systems have a preponderance in assisting customers to save time by suggesting relevant options. With this convenience, a customer may purchase multiple items in a browsing session, referred to as an item basket. The notion of basket manifests his underlying preference of multiple implicit intentions, which becomes more sophisticated once considering the basket sequence of his chronological intersession list. With the objective of modeling basket sequences, most of previous methods hypothesize a homogeneous intention in each basket. The exploitation on multi-intent basket sequences for the recommendation task becomes an emerging demand. In this work, we present a novel framework named MIBS to model multi-intent basket sequences to recommend next basket of relevant items. Given a user's basket sequence, each basket is encoded via aggregating the item-item correlation matrix with a latent intent parameter matrix to generate the respective basket representation. This representation is later fed into a LSTM layer to infer the sequential encoding, which is also combined with the correlation matrix and the multi-intent matrix to produce item scores. The top-K items with the highest scores are employed to form the next-basket suggestion. Comprehensive experiments on three publicly-available datasets demonstrate the superiority of MIBS compared against state-of-the-art baselines for the next-basket recommendation task.","PeriodicalId":130986,"journal":{"name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","volume":"35 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":"132225076","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: 1

Models Distillation with Lifelong Deep Learning for Vietnamese Biomedical Named Entity Recognition 越南生物医学命名实体识别的终身深度学习模型蒸馏

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648790

Thi-Cham Nguyen, Hoang-Quynh Le, Duy-Cat Can, Quang-Thuy Ha

引用次数: 0

Utilizing SBERT For Finding Similar Questions in Community Question Answering 利用SBERT在社区问答中寻找相似问题

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648830

Thi-Thanh Ha, V. Nguyen, Kiem-Hieu Nguyen, K. Nguyen, Q. Than

引用次数: 6

Prioritizing automated test cases of Web applications using reinforcement learning: an enhancement 使用强化学习对Web应用程序的自动化测试用例进行优先级排序:一种增强

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648835

Hoang-Gia Nguyen, Hoang-Dat Le, Vu Nguyen

引用次数: 1

CRNN Based OCR for American and British Sign Language Fingerspelling 基于CRNN的OCR用于美国和英国手语手指拼写

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648593

Ni Htwe Aung, Honey Htun, Ye Kyaw Thu, Su Su Maung

引用次数: 1

Interval type-2 fuzzy logic systems optimization with swarm algorithms for data classification 区间2型模糊逻辑系统的群算法优化

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648598

D. Mai

引用次数: 1

Simultaneous face detection and 360 degree head pose estimation 同时人脸检测和360度头部姿态估计

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648838

Hoang Nguyen Viet, Linh Nguyen Viet, T. N. Dinh, Duc Tran Minh, Long Tran Quoc

{"title":"Simultaneous face detection and 360 degree head pose estimation","authors":"Hoang Nguyen Viet, Linh Nguyen Viet, T. N. Dinh, Duc Tran Minh, Long Tran Quoc","doi":"10.1109/KSE53942.2021.9648838","DOIUrl":"https://doi.org/10.1109/KSE53942.2021.9648838","url":null,"abstract":"With many practical applications in human life, including manufacturing surveillance cameras, analyzing and processing customer behavior, many researchers are noticing face detection and head pose estimation on digital images. A large number of proposed deep learning models have state-of-the-art accuracy such as YOLO, SSD, MTCNN, solving the problem of face detection or HopeNet, FSA-Net, RankPose model used for head pose estimation problem. According to many state-of-the-art methods, the pipeline of this task consists of two parts, from face detection to head pose estimation. These two steps are completely independent and do not share information. This makes the model clear in setup but does not leverage most of the featured resources extracted in each model. In this paper, we proposed the Multitask-Net model with the motivation to leverage the features extracted from the face detection model, sharing them with the head pose estimation branch to improve accuracy. Also, with the variety of data, the Euler angle domain representing the face is large, our model can predict with results in the 360° Euler angle domain. Applying the multitask learning method, the Multitask-Net model can simultaneously predict the position and direction of the human head. To increase the ability to predict the head direction of the model, we change the representation of the human face from the Euler angle to vectors of the Rotation matrix.","PeriodicalId":130986,"journal":{"name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","volume":"55 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":"114921721","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

Design of an GIS-based Investment Heatmap System using Topic Classification and NER 基于gis的投资热图系统的主题分类和NER设计

2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648730

Trung Tran Van, Kien Vu Sy, Tuan Tran Anh, V. Duc, Thang Luu Quang, Phuong Hoang Xuan, V. Luu, Q. H. Bui, S. Pham

{"title":"Design of an GIS-based Investment Heatmap System using Topic Classification and NER","authors":"Trung Tran Van, Kien Vu Sy, Tuan Tran Anh, V. Duc, Thang Luu Quang, Phuong Hoang Xuan, V. Luu, Q. H. Bui, S. Pham","doi":"10.1109/KSE53942.2021.9648730","DOIUrl":"https://doi.org/10.1109/KSE53942.2021.9648730","url":null,"abstract":"In recent years, Vietnam has received a significantly increasing Foreign Direct Investment (FDI) year on year. It has lead to the creation of a large number of social news that reflect to a certain extent the investment activities. Quantitatively extracting such information would be meaningful in analyzing market's direction. The objective of this study was to design a social listening system to identify key investment activities and trends over time using historical news data. First, we present the first-of-its-kind manually annotated investment domain-specific dataset for Vietnamese. Particularly, our dataset is annotated for join-tasks of 1) topic classification and 2) named entity recognition (NER) with newly-defined entity types. Second, empirical experiment was conducted using strong baselines on our dataset and show potential results with $mathrm{F}1=82.43$ for topic classification task, and $mathrm{F}1=92.15$ for NER task. Finally, we demonstrate the results on a Geographic Information System (GIS)-based heatmap system for the analysis of real-world social listening problem.","PeriodicalId":130986,"journal":{"name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","volume":"17 2 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":"128891728","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: 1