| 2019 | A Data Compacting Technique to reduce the NetFlow size in Botnet Detection with BotCluster. Chunyu Wang, Shih-Hao Fuh, Ta-Chun Lo, Qi-Jun Cheng, Yu-Cheng Chen, Feng-Min Cho, Jyh-Biau Chang, Ce-Kuen Shieh |
| 2019 | A Deep Reinforcement Learning based Homeostatic System for Unmanned Position Control. Priyanthi M. Dassanayake, Ashiq Anjum, Warren Manning, Craig Bower |
| 2019 | A Fused Intelligent Computing Approach Using Stock Big Data for Near Future Trend Prediction. Tao Yan, Chongzhao Han, Yong Jia |
| 2019 | A Schema-First Formalism for Labeled Property Graph Databases: Enabling Structured Data Loading and Analytics. Chandan Sharma, Roopak Sinha |
| 2019 | A Simple and Efficient Federated Recommender System. Amir Jalalirad, Marco Scavuzzo, Catalin Capota, Michael R. Sprague |
| 2019 | Accelerating Machine Learning I/O by Overlapping Data Staging and Mini-batch Generations. Kazuhiro Serizawa, Osamu Tatebe |
| 2019 | An Analysis of Slant in Tweets: Case Study. Nagaraju Vadranam, K. M. George, Starla Marier Demings |
| 2019 | An Exploration of Commuter Travel Time Through Social Media Analytics on the Cloud. Mihira Wanninayake, Richard O. Sinnott |
| 2019 | Building Large-Scale Deep Learning System for Entity Recognition in E-Commerce Search. Musen Wen, Deepak Kumar Vasthimal, Alan Lu, Tian Wang, Aimin Guo |
| 2019 | Class-Level Adaptation Network with Self Training for Unsupervised Domain Adaptation. Yuncheng Jin, Zhihong Chen, Zhaowei Cheng, Chao Chen, Xinyu Jin, Bin Sun |
| 2019 | Crowd-Counting through a Cascaded, Multi-Task Convolutional Neural Network. Peng Zhao, Xinrui Lyu, Richard O. Sinnott, Shimin Wei |
| 2019 | Cryptocurrency Price Prediction using Time Series and Social Sentiment Data. Yan Pang, Ganeshkumar Sundararaj, Jiewen Ren |
| 2019 | Estimating Fruit Crop Yield through Deep Learning. Huaqing Yu, Shining Song, Shaoxi Ma, Richard O. Sinnott |
| 2019 | Explainable AI: Classification of MRI Brain Scans Orders for Quality Improvement. Alwin Yaoxian Zhang, Sean Shao Wei Lam, Marcus Eng Hock Ong, Phua Hwee Tang, Ling Ling Chan |
| 2019 | Feature Selection Methods for Linked Data: Limitations, Capabilities and Potentials. Marianne Cherrington, David Airehrour, Joan Lu, Qiang Xu, Stephen J. Wade, Samaneh Madanian |
| 2019 | GPU Acceleration of Range Queries over Large Data Sets. Mitchell Nelson, Zachary Sorenson, Joseph M. Myre, Jason Sawin, David Chiu |
| 2019 | Going Deeper or Wider: Throughput Prediction for Cluster Tools with Machine Learning. Taehee Jeong, Deeksha Prakash Kankalale, Raymond Chau, Hyeran Jeon |
| 2019 | HISDOM: A Hybrid Ontology Mapping System based on Convolutional Neural Network and Dynamic Weight. Jie Liu, Yan Tang, Xinyi Xu |
| 2019 | Identification and Classification of Trucks and Trailers on the Road Network through Deep Learning. Lu Chen, Yunjie Jia, Pei-Yun Sun, Richard O. Sinnott |
| 2019 | In-situ Data Analysis System for High Resolution Meteorological Large Eddy Simulation Model. Takuto Sato, Osamu Tatebe, Hiroyuki Kusaka |
| 2019 | Managing Open Data Evolution through Bi-dimensional Mappings. Henrique Varella Ehrenfried, Eduardo Todt, Daniel Weingaertner, Luis Carlos Erpen De Bona, Fabiano Silva, Marcos Didonet Del Fabro |
| 2019 | Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2019, Auckland, New Zealand, December 2-5, 2019. Kenneth Johnson, Josef Spillner, Xinghui Zhao, Olga Datskova, Blesson Varghese |
| 2019 | Rapid, Progressive Sub-Graph Explorations for Interactive Visual Analytics over Large-Scale Graph Datasets. Samuel Armstrong, Kevin Bruhwiler, Sangmi Lee Pallickara |
| 2019 | Topic Variation Detection Method for Detecting Political Business Cycles. Sota Kato, Takafumi Nakanishi, Hirokazu Shimauchi, Budrul Ahsan |