2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 29)

H-INDEX

(FIVE YEARS 0)

Published By IEEE

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Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00003 ◽

2020 ◽

Author(s):

Kevin Bruhwiler ◽

Thilina Buddhika ◽

Shrideep Pallickara ◽

Sangmi Lee Pallickara

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Keynotes

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00027 ◽

2020 ◽

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Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00021 ◽

2020 ◽

Author(s):

Hongwei Jin ◽

Ning Yan ◽

Masood Mortazavi

Keyword(s):

Empirical Verification

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A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00013 ◽

2020 ◽

Author(s):

Sijan S Rana ◽

Xinhui Ma ◽

Wei Pang ◽

Emma Wolverson

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Deep Learning ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Learning Approach ◽

Early Prediction

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Effects of the Number of Hyperparameters on the Performance of GA-CNN

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00016 ◽

2020 ◽

Author(s):

Tirana Noor Fatyanosa ◽

Masayoshi Aritsugi

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[Title page i]

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00005 ◽

2020 ◽

Keyword(s):

Title Page

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Enabling Precise Control of a Haptic Device: A Machine Learning Approach

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00023 ◽

2020 ◽

Author(s):

Xinyu Zheng ◽

Yuanmin Wang ◽

Xinghui Zhao ◽

Hakan Gurocak

Keyword(s):

Machine Learning ◽

Haptic Device ◽

Learning Approach ◽

Precise Control ◽

Machine Learning Approach

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A Survey: Benchmarking and Performance Modelling of Data Intensive Applications

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00012 ◽

2020 ◽

Author(s):

Sheriffo Ceesay ◽

Yuhui Lin ◽

Adam Barker

Keyword(s):

Performance Modelling ◽

Data Intensive ◽

And Performance ◽

Data Intensive Applications

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A satellite collision avoidance system based on General Regression Neural Network

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00004 ◽

2020 ◽

Author(s):

Md. Riftabin Kabir ◽

Tarek Ibne Faysal ◽

Md. Sazzad Hossain ◽

Jannatun Naima Shorno ◽

Shahnewaz Siddique

Keyword(s):

Neural Network ◽

Collision Avoidance ◽

General Regression Neural Network ◽

Collision Avoidance System ◽

General Regression

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Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) ◽

10.1109/bdcat50828.2020.00024 ◽

2020 ◽

Author(s):

Walid Budgaga ◽

Matthew Malensek ◽

Sangmi Lee Pallickara ◽

Shrideep Pallickara

Keyword(s):

Accurate Model ◽

Model Training

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2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets

Keynotes

Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease

Effects of the Number of Hyperparameters on the Performance of GA-CNN

[Title page i]

Enabling Precise Control of a Haptic Device: A Machine Learning Approach

A Survey: Benchmarking and Performance Modelling of Data Intensive Applications

A satellite collision avoidance system based on General Regression Neural Network

Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets

2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
Latest Publications