BDCAT2020: 7TH IEEE/ACM INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING, APPLICATIONS AND TECHNOLOGIES

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Ali, Muhammad	Edge-enhanced analytics via latent space dimensionality reduction
Anjum, Ashiq	Large-scale Data Integration Using Graph Probabilistic Dependencies
Anjum, Ashiq	Edge-enhanced analytics via latent space dimensionality reduction
Aritsugi, Masayoshi	Characterizing User Decision based on Argumentative Reviews Effects of the Number of Hyperparameters on the Performance of GA-CNN
Azad, Muhammad Ajmal	Large-scale Data Integration Using Graph Probabilistic Dependencies
B
Banno, Samara	Automated Cognitive Analyses for Intelligent Tutoring Systems
Barajas, Daniel	Agami: Scalable Visual Analytics over Multidimensional Data Streams
Barker, Adam	A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications
Barnby, Lee	Interpretability of Machine Learning in Accelerator-based High Energy Physics
Bruhwiler, Kevin	Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
Buddhika, Thilina	Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
Budgaga, Walid	Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets
C
Ceesay, Sheriffo	A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications
E
El-Haraki, Ali	A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents
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Fatyanosa, Tirana Noor	Effects of the Number of Hyperparameters on the Performance of GA-CNN
Faysal, Tarek Ibne	A satellite collision avoidance system based on General Regression Neural Network
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Garg, Pragya	Agami: Scalable Visual Analytics over Multidimensional Data Streams
Gurocak, Hakan	Enabling Precise Control of a Haptic Device: A Machine Learning Approach
H
Haas, Francis	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
Hassan Zada, Muhammad Sadiq	Large-scale Data Integration Using Graph Probabilistic Dependencies
Hirsh, Robert	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
Hossain, Md. Sazzad	A satellite collision avoidance system based on General Regression Neural Network
J
Jin, Hongwei	Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning
Joshi, Alark	Agami: Scalable Visual Analytics over Multidimensional Data Streams
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Kabir, Md. Riftabin	A satellite collision avoidance system based on General Regression Neural Network
Kalajdjieski, Jovan	Attention Models for PM25 Prediction
Kalajdziski, Slobodan	Attention Models for PM25 Prediction
Kalandar Mohideen, Mohamed Abdulla	A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents
Khan, Wajahat Ali	Large-scale Data Integration Using Graph Probabilistic Dependencies
Kunaefi, Anang	Characterizing User Decision based on Argumentative Reviews
L
Lee Pallickara, Sangmi	Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
Li, Xiaochen	Agami: Scalable Visual Analytics over Multidimensional Data Streams
Lin, Jingnan	An Inter-session Recommendation Framework with Multihop Gated Memory
Lin, Yuhui	A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications
Liotta, Antonio	Edge-enhanced analytics via latent space dimensionality reduction
Lu, Mingxin	Agami: Scalable Visual Analytics over Multidimensional Data Streams
M
Ma, Xinhui	A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
Majumdar, Shikharesh	A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents
Malensek, Matthew	Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets Agami: Scalable Visual Analytics over Multidimensional Data Streams
Mirceva, Georgina	Attention Models for PM25 Prediction
Mortazavi, Masood	Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning
Murad, Hayder	Automated Cognitive Analyses for Intelligent Tutoring Systems
Murray, Greggory	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
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Ndubuaku, Maryleen	Edge-enhanced analytics via latent space dimensionality reduction
Nikolopoulos, Chris	Calculating the Topological Resilience of Supply Chain Networks Using Hopfield Neural Networks
O
Ogundipe, Mosopefoluwa	Agami: Scalable Visual Analytics over Multidimensional Data Streams
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Pallickara, Shrideep	Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
Pan, Deng	Deepfake Detection through Deep Learning
Pang, Wei	A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
Petty, Tyler	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
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Rana, Sijan	A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
Reiff-Marganiec, Stephan	Edge-enhanced analytics via latent space dimensionality reduction Large-scale Data Integration Using Graph Probabilistic Dependencies
S
Sallal, Muntadher	Automated Cognitive Analyses for Intelligent Tutoring Systems
Shang, Huiliang	An Inter-session Recommendation Framework with Multihop Gated Memory
Shorno, Jannatun Naima	A satellite collision avoidance system based on General Regression Neural Network
Siddique, Shahnewaz	A satellite collision avoidance system based on General Regression Neural Network
Sinnott, Richard	Deepfake Detection through Deep Learning
St-Hilaire, Marc	A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents
Sun, Lixian	Deepfake Detection through Deep Learning
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Turvill, Danielle	Interpretability of Machine Learning in Accelerator-based High Energy Physics
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Vu, Thong	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
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Wang, Rui	Deepfake Detection through Deep Learning
Wang, Yuanmin	Enabling Precise Control of a Haptic Device: A Machine Learning Approach
Wilson, Nate	Agami: Scalable Visual Analytics over Multidimensional Data Streams
Wolverson, Emma	A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
Wong, Edmund	Agami: Scalable Visual Analytics over Multidimensional Data Streams
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Xue, Wei	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
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Yan, Ning	Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning
Yuan, Bo	Interpretability of Machine Learning in Accelerator-based High Energy Physics Large-scale Data Integration Using Graph Probabilistic Dependencies
Z
Zahir, Ali	Interpretability of Machine Learning in Accelerator-based High Energy Physics
Zhang, Xingjian	Deepfake Detection through Deep Learning
Zhao, Xinghui	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection Enabling Precise Control of a Haptic Device: A Machine Learning Approach
Zheng, Xinyu	Enabling Precise Control of a Haptic Device: A Machine Learning Approach

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