Regular Papers
- InferSpark: Statistical Inference at Scale
Zhuoyue Zhao, Jialing Pei, Eric Lo, Kenny Zhu and Chris Liu
- Unsupervised Method for Discovering Expert Traders on Social Trading Services
Liu Zimao and Qiang Ma
- Predicting Time-bounded Purchases During a Shopping Festival
Muzhi Guan, Meeyoung Cha, Yong Li, Yue Wang and Jiajie Yu
- Time Series Topic Transition based on Micro-Clustering
Takako Hashimoto, Takeaki Uno, Tetsuji Kuboyama, Kilho Shin and Dave Shepard
- A Downlink Resource Scheduling Strategy for URLLC Traffic
Shashi Pandey, Madyan Alsenwi, Yan Kyaw Tun and Choong Seon Hong
- Towards Robust Compressed Convolutional Neural Networks
Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa and Tsuyoshi Murata
- Regular Expression Pattern Matching with Sliding Windows over Probabilistic Event Streams
Kento Sugiura and Yoshiharu Ishikawa
- IDEL: In-Database Neural Entity Linking
Torsten Kilias, Alexander Löser, Felix Gers, Ying Zhang, Richard Koopmanschap and Martin Kersten
- Disaggregate Hotel Evaluation by using Diverse Aspects from User Reviews
Bidur Devkota, Chenyi Zhuang, Kyoung-Sook Kim and Hiroyuki Miyazaki
- P-Index: A Novel Index Based on Prime Factorization for Similarity Search
Jianquan Liu, Shoji Nishimura and Takuya Araki
- Magic Cube Bloom Filter:Answering Membership Queries for Multiple Sets
Zhouyi Sun, Siang Gao, Bingqing Liu, Yufei Wang, Tong Yang and Bin Cui
- SPENT: A Successive POI Recommendation Method Using Similarity-based POI Embedding and Recurrent Neural Network with Temporal Influence
Mu-Fan Wang, Yi-Shu Lu and Jiun-Long Huang
- Topic Model-based Freshness Estimation Towards Diverse Tweet Recommendation
Makoto Yokoyama and Qiang Ma
- Calculation of Average Road Speed Based on Car-to-Car Messaging
Ahmed Ramzy, Ahmed Awad, Amr A. Kamel, Osman Hegazy and Sherif Sakr
- Road Segment Interpolation for Incomplete Road Data
Yuya Sasaki, Jiahao Yu and Yoshiharu Ishikawa
- Time Series Link Prediction using NMF
Faith W. Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki and Makoto Onizuka
- An Optimization Scheme for Non-negative Matrix Factorization under Probability Constraints
Hiroyoshi Ito and Toshiyuki Amagasa
- Categorizing User Sessions at Pinterest
Dorna Bandari, Shuo Xiang, Jolie Martin and Jure Leskovec
- Route Recommendation with Dynamic User Preference on Road Networks
Juwon Jung, Sehwa Park, Seog Park and Yongjune Kim
- Predictive Query Processing Considering the Movement of Both User and Objects
So-Hye Yoon, Sehwa Park, Taewan Kim, Jae Won Kim and Seog Park
- Real-Time Facial Landmark Extraction Based on Cascaded Networks
Hyeonwoo Kim, Hyungjoon Kim and Eenjun Hwang
- An Efficient K-means based Multicast Routing Algorithm and Architecture for Spiking Neural Network Systems
The H. Vu, Yuichi Okuyama and Ben Abdallah Abderazek
- Force Arrow: a Novel Pseudo Haptic Interface for Weight Perception in Lifting Virtual Objects
Jun Lee and Jee-In Kim
- SpeechLens: A Visual Analytics Approach for Exploring Speech Strategies with Textural and Acoustic Features
Linping Yuan, Yuanzhe Chen, Siwei Fu, Aoyu Wu and Huamin Qu
- A Method for Analyzing Pick-up/Drop-off Distribution of Taxi Passengers' in Urban Areas Based on Dynamical Network View
Yirong Zhou, Hao Chen, Ye Wu, Jiangjiang Wu, Jun Li and Luo Chen
- Accelerating Deep Reinforcement Learning using Human Demonstration Data based on Dual Replay Buffer Management and Online Frame Skipping
Sangho Yeo, Sangyoon Oh and Minsu Lee
- Optimized Luminaire Allocation and Configuration with Luminaire Failure Compensation
Chen-Shu Wang, Bo-Yi Li, Chao-Wei Yang, Wei-Chieh Lin, Shang-Chih Hung, Song-Bor Chiang and Chih-Hsuan Tsuei
- Roo: Route Planning Algorithm for Ride Sharing Systems on Large-Scale Road Networks
Bilong Shen, Bo Cao, Ying Zhao, Haojia Zuo, Weimin Zheng and Yan Huang
- Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets
Artem Lutov, Mourad Khayati and Philippe Cudré-Mauroux
- Hierarchical Topic Models for Expanding Category Hierarchies
Kohei Yamamoto, Koji Eguchi and Atsuhiro Takasu
- Efficient Encoding and Decoding Extended Geocodes for Massive Point Cloud Data
Taehoon Kim, Jun Lee and Kyoung-Sook Kim
- Query-focused Summarization Enhanced with Sentence Attention Mechanism
Tasuku Kimura, Ryo Tagami and Hisashi Miyamori
- Modified VS^3-NET for Reading Comprehension and Question Answering with No-answers
Cheoneum Park and Changki Lee
- Learning Representations from Healthcare Time Series Data for Unsupervised Anomaly Detection
João Pereira and Margarida Silveira
- Identification of Possible Common Causes by Intrinsic Dimension Estimation
Jing Song, Satoshi Oyama and Masahito Kurihara
- Voltage sag classification Based on PDT-SVM
Haoyuan Sha, Chenyu Zhang, Mingming Shi and Jianyong Zheng
- DeepFunNet: Deep Learning for Gene Functional Similarity Network Construction
Sun Kim, Hongryul Ahn and Seunghyun Son
- Cost and Latency Tradeoff in Mobile Edge Computing: A Distributed Game Approach
Chit Wutyee Zaw, Nway Nway Ei, Han Yeo Reum Im, Yan Kyaw Tun and Choong Seon Hong
- Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning
Aniekan Essien, Ilias Petrounias, Pedro Sampaio and Sandra Sampaio
Short Papers
- Neural networks for compressing and classifying speaker-independent paralinguistic signals
Seokhyun Byun, Seunghyun Yoon and Kyomin Jung
- Decoding Two-Class Motor Imagery EEG with Capsule Networks
Kwon-Woo Ha and Jinwoo Jeong
- Evaluation of Stratified Validation in Neural Network Training with Imbalanced Data
Tomoumi Takase, Satoshi Oyama and Masahito Kurihara
- A Tale of Location-Based User Authentication
Eric Falk, Vendel Toth, Alexandre Knaff and Radu State
- People Flow Prediction by Multi-Agent Simulator
Daisuke Sato, Tatsushi Matsubayashi and Hiroyuki Toda
- An Implementation of Health Prediction in SMT Solder Joint via Machine Learning
Yiming Chang, Chiachen Wei, Jeffrey Chen and Pack Hsieh
- Detection of Bursty and Significant Keyphrases from Wikipedia edit history
Zihang Chen and Mizuho Iwaihara
- Transitivity of Transformation Matrices to Bridge Word Vector Spaces over Time
Katsurou Takahashi and Hiroaki Ohshima
- A Skipping FP-tree for Incrementally Intersecting Closed Itemsets in On-Line Stream Mining
Takumi Nishina, Koji Iwanuma and Yoshitaka Yamamoto
- Balanced Nearest Neighborhood Query in Spatial Database
Sang Le, Yuyang Dong, Hanxiong Chen and Kazutaka Furuse
- Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation
Qianwen Wang and Mizuho Iwaihara
- Economical Energy Storage Systems Scheduling based on Load Forecasting using Deep Learning
Seon Hyeog Kim, Gyul Lee and Yong-June Shin
- Transfer Learning from Automatically Annotated Data for Recognizing Named Entities in Recent Generated Texts
Juae Kim
- Using Part of Speech features in Korean Dependency Parsing
Hwijeen Ann, Minyoung Seo, Chanmin Park, Juae Kim and Jungyun Seo
- A Behavioral Facilitation Tweet Detection Method
Keiichi Mizuka, Yu Suzuki and Akiyo Nadamoto
- LESS: Logging Exploiting SnapShot
Hanseung Sung, Minhwa Jin, Mincheol Shin, Hongchan Roh, Wonki Choi and Sanghyun Park
- Pre-training a Neural Model to Overcome Data Scarcity in Relation Extraction from Text
Seokwoo Jung and Sung-Hyon Myaeng
- Precision Enhancement Method for Semantic Segmentation Network
Jungeun Park, Chaewon Shin and Chulyun Kim
- Performance Evaluation of Querying Point Clouds in RDBMS
Gen Ikawa, Yousuke Watanabe, Shunya Yamada and Hiroaki Takada
- Quantifying the presence of graffiti in urban environments
Eric K. Tokuda, Roberto M. Cesar-Jr. and Claudio Silva
- Introspection of Virtual Machine Memory Resource in the Virtualized Systems
Minho Lee, Sujin Park, Yongju Song and Young Ik Eom
- Overlit: New Storage Driver for Localization and Specialization
Inhyeok Kim, Young Ik Eom and Kwon Je Oh
- Multiple Videos Captioning Model for Video Storytelling
Seung-Ho Han, Bo-Won Go and Ho-Jin Choi
- Plane based Visual Odometry for Structural and Low-texture Environments Using RGB-D Sensors
Ruibin Guo, Dongxiang Zhou, Keju Peng and Yunhui Liu
- The Structure of Deep Neural Network for Interpretable Transfer Learning
Dowan Kim, Woohyun Lim, Minye Hong and Hyeoncheol Kim
- Deep Explanation Model for Facial Expression Recognition through Facial Action Coding Unit
Sunbin Kim and Hyeoncheol Kim
- Combining Outlier Detection and Reconstruction Error Minimization for Label Noise Reduction
Weining Zhang and Xiaoyang Tan
- An electricity load forecasting approach combining DBN-based deep neural network and NAR model for the integrated energy systems
Pan Yi, Zheng Jianyong, Yang Yun, Zhu Rui, Zhou Cheng and Shi Tian
- Shared Rules: Knowledge Sharing Service by RIF Rules
Jaehoon Kim and Hojin Seo
- Question Understanding based on Sentence Embedding on Dialog Systems for Banking Service
Kyo-Joong Oh, Ho-Jin Choi, Sungtae Kwon and Suhwan Park
- A Smart Device Using Low-cost Sensors to Detect Earthquakes
Jangsoo Lee, Jae-Seon Kim, Seonhwa Choi and Young-Woo Kwon
- Environmental Noise Robustness for Korean Fricatives using Speech Enhancement Generative Adversarial Networks
Soonshin Seo, Minkyu Lim, Donghyun Lee, Hosung Park, Junseok Oh and Ji-Hwan Kim
- BTBUFood-60: Dataset for Object Detection in Food Field
Qiang Cai and Jing Li
- Polarized Topic Modeling for User Characteristics in Online Discussion Community
Sung-Hwan Kim, Haesung Tak and Hwan-Gue Cho