IEEE BigData

Publications

2021

Appan Rakaraddi, Mahardhika Pratama
Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach. IEEE BigData (2021)
Zihang Liu, Ejian Zhou, Shuwen Yang, Zisong Zhuang, Tianlong Ma
The anomaly segmentation via dynamic branch fusion. IEEE BigData (2021)
Xin Pei, Deval Mehta
Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19. IEEE BigData (2021)
Guanyi Mou, Kyumin Lee
An Effective, Robust and Fairness-aware Hate Speech Detection Framework. IEEE BigData (2021)
Valsamis Ntouskos, Chrysa Iliopoulou, Konstantinos Karantzalos
Production Machine Learning Frameworks for Geospatial Big Data. IEEE BigData (2021)
Maciej Matraszek, Andrzej Janusz, Maciej Swiechowski, Dominik Slezak
Predicting Victories in Video Games - IEEE BigData 2021 Cup Report. IEEE BigData (2021)
Zhiye Fu, Hsing-Kuo Pao, Jiabin He
Active Learning with Numerical Feature Annotation. IEEE BigData (2021)
Gonçalo Carvalho, Jorge Bernardino, Vasco Pereira, Bruno Cabral
A holistic data modeling approach for multi-database systems. IEEE BigData (2021)
Peng Jiang, Jiafeng Ma, Jianming Zhang
Deep Reinforcement Learning based Recommender System with State Representation. IEEE BigData (2021)
Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu
A combination of general and specific models to predict victories in video games. IEEE BigData (2021)
Sumit Purohit, Patrick Mackey, William Smith, Madelyn Dunning, Miquette J. Orren, Trevor M. Langlie-Miletich, Rahul D. Deshmukh, Ankur Bohra, Tonya J. Martin, Dan J. Aimone, George Chin
Transactional Knowledge Graph Generation To Model Adversarial Activities. IEEE BigData (2021)
Tomás Komárek, Jan Brabec, Cenek Skarda, Petr Somol
Threat Hunting as a Similarity Search Problem on Multi-positive and Unlabeled Data. IEEE BigData (2021)
Srideepika Jayaraman, Chandra Reddy, Elham Khabiri, Dhaval Patel, Anuradha Bhamidipaty, Jayant Kalagnanam
Asset Modeling using Serverless Computing. IEEE BigData (2021)
Zevin Shaul, Sheikh Naaz
cgSpan: Closed Graph-Based Substructure Pattern Mining. IEEE BigData (2021)
Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos
Programmatic Database Language Generation for Big Data Applications. IEEE BigData (2021)
Tomoya Sasaki, Arisa Nakamura, Jun-Ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi
Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials. IEEE BigData (2021)
Ryusei Arisawa, Panote Siriaraya, Da Li, Kazutoshi Sumiya, Yukiko Kawai, Shinsuke Nakajima
A Rival Recommendation Approach for Acoustic AR Running Support System Considering the Athletic Ability of Users. IEEE BigData (2021)
Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci
Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. IEEE BigData (2021)
Matthew Higginbotham, Ethan Franks, Pratchi Roy, Jennifer Lavergne
A Parallelized DynTARM Algorithm for the Discovery of Predictive Co-Occurrences Within Streaming Time Stamped Data. IEEE BigData (2021)
Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research. IEEE BigData (2021)
Nishit Patel, David Cancel, Moitrayee Chatterjee, Md Shahinoor Rahman
Covid-19 digital Contact-tracing: a doorway to well-being or a backdoor to security vulnerabilities? IEEE BigData (2021)
Qian Han, Derek Snaidauf
Comparison of Deep Learning Technologies in Legal Document Classification. IEEE BigData (2021)
Wenli Sun, Changgee Chang, Qi Long
Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data. IEEE BigData (2021)
Emanuela Marasco, Anudeep Vurity
Fingerphoto Presentation Attack Detection: Generalization in Smartphones. IEEE BigData (2021)
Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara
Containerization of Model Fitting Workloads over Spatial Datasets. IEEE BigData (2021)
Jieling Wu, Mitsugu Saito
Big Data Analysis for Predicting Post-Earthquake Municipal Road Recovery. IEEE BigData (2021)
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021 IEEE BigData (2021)
Sergei Petrov, Chao Zhang, Jaswanth Yella, Yu Huang, Xiaoye Qian, Sthitie Bom
IEEE BigData 2021 Cup: Soft Sensing at Scale. IEEE BigData (2021)
Joshua Hightower, William Bradley Glisson, Ryan Benton, Jeffrey Todd McDonald
Classifying Android Applications Via System Stats. IEEE BigData (2021)
Linli Qi, Peiquan Jin, Shouhong Wan
Efficient Selectivity Estimation for Relation-Tree Joins in Multi-Model Databases. IEEE BigData (2021)
Hüsnü Murat Koçak, Ahmet Teoman Naskali, Özgün Pinarer, Jérôme Mitard
Detecting Transistor Defects in Medical Systems Using a Multi Model Ensemble of Convolutional Neural Networks. IEEE BigData (2021)
Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito, Koji Zettsu, P. Krishna Reddy
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. IEEE BigData (2021)
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData (2021)
Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
Supporting Data Compression in PnetCDF. IEEE BigData (2021)
Tzu-Heng Lin, Chen Gao
Session-aware Item-combination Recommendation with Transformer Network. IEEE BigData (2021)
Guillaume Habault, Shinya Wada, Chihiro Ono
Influence of Land Use information over performance when predicting spatiotemporal electricity load demand. IEEE BigData (2021)
Arunim Garg, David W. Savage, Salimur Choudhury, Vijay Mago
Predicting family physicians based on their practice using machine learning. IEEE BigData (2021)
Huan Dai, Yupei Zhang, Yue Yun, Rui An, Xuequn Shang
VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space. IEEE BigData (2021)
Pierrick Pochelu, Serge G. Petiton, Bruno Conche
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. IEEE BigData (2021)
Cuiling Zhu, Jiucun Yuan, Chengwei Yang
Prediction of Adult Chronic Kidney Disease with Class-Imbalanced Datasets. IEEE BigData (2021)
Maria Kalantzi, George Karypis
Position-based Hash Embeddings For Scaling Graph Neural Networks. IEEE BigData (2021)
Kara Schatz, Cleber C. Melo-Filho, Alexander Tropsha, Rada Chirkova
Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns. IEEE BigData (2021)
Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham
An Analysis of COVID-19 Knowledge Graph Construction and Applications. IEEE BigData (2021)
Dev Dave, Vaibhav K. Anu, Aparna S. Varde
Automating the Classification of Requirements Data. IEEE BigData (2021)
Zichao Wang, Mengxue Zhang, Richard G. Baraniuk, Andrew S. Lan
Scientific Formula Retrieval via Tree Embeddings. IEEE BigData (2021)
Takuto Ogura, Yoshiki Akita, Yuki Miyazawa, Hideyuki Kawashima
Accelerating Geo-Distributed Transaction Processing with Fast Logging. IEEE BigData (2021)
Mehrdad Fazli, Samuel Sklar, Michael D. Porter, Brent A. French, Heman Shakeri
Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak. IEEE BigData (2021)
Peter Baumann
Towards a Model-Driven Datacube Analytics Language. IEEE BigData (2021)
Takashi Isobe, Yoshihiro Okada
Chemicals Informatics: Explore Structural Factors and Potential Chemicals based on Public Literatures. IEEE BigData (2021)
Zinat Ara, Mahdi Hashemi
Traffic Flow Prediction using Long Short-Term Memory Network and Optimized Spatial Temporal Dependencies. IEEE BigData (2021)