Jianwu Wang

CoRR, 2024

YOLO based Ocean Eddy Localization with AWS SageMaker.

[BibT_eX]

[DOI]

Jinbo Wang

Benjamin Holt

CoRR, 2024

Causality for Earth Science - A Review on Time-series and Spatiotemporal Causality Methods.

[BibT_eX]

[DOI]

CoRR, 2024

TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data.

[BibT_eX]

[DOI]

CoRR, 2024

Tutorial on Causal Inference with Spatiotemporal Data.

[BibT_eX]

[DOI]

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatiotemporal Causal Analysis, 2024

MT-HCCAR: Multi-task Deep Learning with Hierarchical Classification and Attention-Based Regression for Cloud Property Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference.

[BibT_eX]

[DOI]

Omar Faruque

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

CloudUNet: Adapting UNet for Retrieving Cloud Properties.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

2023

Reproducible and Portable Big Data Analytics in the Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2023

Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference.

[BibT_eX]

[DOI]

Omar Faruque

CoRR, 2023

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking.

[BibT_eX]

[DOI]

CoRR, 2023

Vision Transformer-based Real-Time Camouflaged Object Detection System at Edge.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

CNN based Ocean Eddy Detection Using Cloud Services.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting.

[BibT_eX]

[DOI]

Louis Lapp

Proceedings of the International Conference on Machine Learning and Applications, 2023

Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device.

[BibT_eX]

[DOI]

Md. Azim Khan

Nadeem Ahmed

Joyce Padela

Muhammad Shehrose Raza

Proceedings of the International Conference on Machine Learning and Applications, 2023

Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference.

[BibT_eX]

[DOI]

Nicole-Jeanne Schlegel

Proceedings of the International Conference on Machine Learning and Applications, 2023

Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Chatbot Integration for Metaverse - A University Platform Prototype.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A review of Earth Artificial Intelligence.

[BibT_eX]

[DOI]

Comput. Geosci., 2022

An edge-cloud integrated framework for flexible and dynamic stream analytics.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2022

Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Enhanced Deep Learning Super-Resolution for Bathymetry Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

Atmospheric Gravity Wave Detection Using Transfer Learning Techniques.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Potential trend discovery for highway drivers on spatio-temporal data.

[BibT_eX]

[DOI]

Wirel. Networks, 2021

Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere.

[BibT_eX]

[DOI]

Yiyi Huang

Matthäus Kleindessner

Frontiers Big Data, 2021

Sea Ice Forecasting using Attention-based Ensemble LSTM.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery.

[BibT_eX]

[DOI]

Yiyi Huang

Big Data Res., 2021

Performance Benchmarking of Parallel Hyperparameter Tuning for Deep Learning Based Tornado Predictions.

[BibT_eX]

[DOI]

Big Data Res., 2021

A Framework for Evaluating BFT.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

Large-Scale Causality Discovery Analytics as a Service.

[BibT_eX]

[DOI]

Xin Wang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Task Allocation in Hybrid Big Data Analytics for Urban IoT Applications.

[BibT_eX]

[DOI]

Trans. Data Sci., 2020

An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2020

Scalable and Hybrid Ensemble-Based Causality Discovery.

[BibT_eX]

[DOI]

Achuna Ofonedu

Proceedings of the IEEE International Conference on Smart Data Services, 2020

A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Smart Computing, 2020

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Scalable Aggregation Service for Satellite Remote Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Image Segmentation for Dust Detection Using Semi-supervised Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Adaptive and Efficient Streaming Time Series Forecasting with Lambda Architecture and Spark.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data.

[BibT_eX]

[DOI]

Sensors, 2019

Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution.

[BibT_eX]

[DOI]

IEEE Access, 2019

Latency-Aware Deployment of IoT Services in a Cloud-Edge Environment.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 17th International Conference, 2019

On Fairness-Aware Learning for Non-discriminative Decision-Making.

[BibT_eX]

[DOI]

Wenbin Zhang

Xuejiao Tang

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Representation Learning of Taxonomies for Taxonomy Matching.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2019, 2019

A Hybrid Algorithm for Mineral Dust Detection Using Satellite Data.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on eScience, 2019

Parallel Gradient Boosting based Granger Causality Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction.

[BibT_eX]

[DOI]

Carlos A. Barajas

Matthias K. Gobbert

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Periodic Task-Oriented Scheduling Architecture in Cloud Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Blockchain Based Provenance Sharing of Scientific Workflows.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Congress on Big Data, 2018

Content-bootstrapped Collaborative Filtering for Medical Article Recommendations.

[BibT_eX]

[DOI]

Wenbin Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

2017

Machine learning on big data: Opportunities and challenges.

[BibT_eX]

[DOI]

Lina Zhou

Shimei Pan

Athanasios V. Vasilakos

Neurocomputing, 2017

Service Hyperlink: Modeling and Reusing Partial Process Knowledge by Mining Event Dependencies among Sensor Data Services.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

An Approach to Modeling and Discovering Event Correlation for Service Collaboration.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

Curve-Registration-Based Feature Extraction for Predictive Maintenance of Industrial Equipment.

[BibT_eX]

[DOI]

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

A comparison of big data application programming approaches: A travel companion case study.

[BibT_eX]

[DOI]

Zhiyuan Chen

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A Hybrid Learning Framework for Imbalanced Stream Classification.

[BibT_eX]

[DOI]

Wenbin Zhang

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Zero-Day Attack Identification in Streaming Data Using Semantics and Spark.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016

Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science 2016, 2016

A Smart Manufacturing Use Case: Furnace Temperature Balancing in Steam Methane Reforming Process via Kepler Workflows.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science 2016, 2016

Wearable sensor based human posture recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Application-driven sensing data reconstruction and selection based on correlation mining and dynamic feedback.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

A Service-Friendly Approach to Discover Traveling Companions Based on ANPR Data Stream.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Services Computing, 2016

2015

A Hybrid Processing System for Large-Scale Traffic Sensor Data.

[BibT_eX]

[DOI]

IEEE Access, 2015

FlowGate: towards extensible and scalable web-based flow cytometry data analysis.

[BibT_eX]

[DOI]

Richard H. Scheuermann

Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015

Instant Discovery of Moment Companion Vehicles from Big Streaming Traffic Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Cloud Computing and Big Data, 2015

Big data provenance: Challenges, state of the art and opportunities.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Cloud computing in e-Science: research challenges and opportunities.

[BibT_eX]

[DOI]

Athanasios V. Vasilakos

Kecheng Liu

Philip Kershaw

J. Supercomput., 2014

Mashroom+: An Interactive Data Mashup Approach with Uncertainty Handling.

[BibT_eX]

[DOI]

Chen Liu

J. Grid Comput., 2014

Guest Editors' Introduction: Special Issue on Service and Cloud Based Data Integration.

[BibT_eX]

[DOI]

J. Grid Comput., 2014

Big Data Applications Using Workflows for Data Parallel Computing.

[BibT_eX]

[DOI]

Comput. Sci. Eng., 2014

MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

An Integrated Processing Platform for Traffic Sensor Data and Its Applications in Intelligent Transportation Systems.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE World Congress on Services, 2014

The Second International Workshop on Service and Cloud Based Data Integration (SCDI 2014)-Workshop Message.

[BibT_eX]

[DOI]

Chen Liu

Proceedings of the 2014 IEEE World Congress on Services, 2014

Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE World Congress on Services, 2014

Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2014

Deploying Kepler Workflows as Services on a Cloud Infrastructure for Smart Manufacturing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2014

Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2014

EPiK-a Workflow for Electron Tomography in Kepler.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2014

A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning.

[BibT_eX]

[DOI]

Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014

A Spatio-temporal Parallel Processing System for Traffic Sensory Data.

[BibT_eX]

[DOI]

Proceedings of the 2014 Asia-Pacific Services Computing Conference, 2014

2013

Approaches to Distributed Execution of Scientific Workflows in Kepler.

[BibT_eX]

[DOI]

Isabel Campos Plasencia

Fundam. Informaticae, 2013

Situation-Aware Data Service Composition Based on Service Hyperlinks.

[BibT_eX]

[DOI]

Chen Liu

Proceedings of the Web Information Systems Engineering - WISE 2013 Workshops, 2013

2012

A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System.

[BibT_eX]

[DOI]

Daniel Crawl

Proceedings of the International Conference on Computational Science, 2012

Early Cloud Experiences with the Kepler Scientific Workflow System.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2012

MAAMD: A Workflow to Standardize Meta-Analyses of Affymetrix Microarray Data.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

An Item-Targeted User Similarity Method for Data Service Recommendation.

[BibT_eX]

[DOI]

Cheng Zhang

Xiaofang Zhao

Proceedings of the 16th IEEE International Enterprise Distributed Object Computing Conference Workshops, 2012

Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, March 30, 2012, 2012

2011

Facilitating e-Science Discovery Using Scientific Workflows on the Grid.

[BibT_eX]

[DOI]

Proceedings of the Guide to e-Science, Next Generation Scientific Research and Discovery, 2011

A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling.

[BibT_eX]

[DOI]

Prakashan Korambath

Proceedings of the World Congress on Services, 2011

Provenance for MapReduce-based data-intensive workflows.

[BibT_eX]

[DOI]

Daniel Crawl

Proceedings of the WORKS'11, 2011

2010

Theoretical enzyme design using the Kepler scientific workflows on the Grid.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2010

2009

Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Congress on Services, Part I, 2009

Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems.

[BibT_eX]

[DOI]

Daniel Crawl

Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, 2009

2008

An Approach to Domain-Specific Reuse in Service-Oriented Environments.

[BibT_eX]

[DOI]

Proceedings of the High Confidence Software Reuse in Large Systems, 2008

A High-Level Distributed Execution Framework for Scientific Workflows.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on e-Science, 2008

2006

An End-User-Oriented Approach to Exploratory Service Compostion.

[BibT_eX]

[DOI]

J. Comput. Res. Dev., 2006

Pattern Based Property Specification and Verification for Service Composition.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems, 2006

DDL: Embracing Actions into Semantic Web.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information Processing III, 2006

Personalized Active Service Spaces for End-User Service Composition.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Services Computing (SCC 2006), 2006

2005

A service modeling approach with business-level reusability and extensibility.

[BibT_eX]

[DOI]

Jian Yu