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7th BDCAT 2020: Leicester, United Kingdom
- 7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2020, Leicester, United Kingdom, December 7-10, 2020. IEEE 2020, ISBN 978-0-7381-2396-7
- Jovan Kalajdjieski, Georgina Mirceva, Slobodan Kalajdziski:
Attention Models for PM2.5 Prediction. 1-8 - Sijan S. Rana, Xinhui Ma, Wei Pang
, Emma Wolverson:
A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. 9-18 - Tyler Petty, Thong Vu, Xinghui Zhao, Robert A. Hirsh, Greggory Murray, Francis M. Haas
Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection. 19-26 - Muhammad Sadiq Hassan Zada, Bo Yuan
Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs). 27-36 - Abdulla Kalandar Mohideen, Shikharesh Majumdar, Marc St-Hilaire, Ali El-Haraki:
A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents. 37-46 - Kevin Bruhwiler, Thilina Buddhika, Shrideep Pallickara, Sangmi Lee Pallickara:
Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets. 47-56 - Mingxin Lu, Edmund Wong, Daniel J. Barajas, Xiaochen Li, Mosopefoluwa Ogundipe, Nate Wilson, Pragya Garg, Alark Joshi, Matthew Malensek:
AGAMI: Scalable Visual Analytics over Multidimensional Data Streams. 57-66 - Sheriffo Ceesay, Yuhui Lin, Adam Barker:
A Survey: Benchmarking and Performance Modelling of Data Intensive Applications. 67-76 - Danielle Turvill, Lee Barnby
A Survey of Interpretability of Machine Learning in Accelerator-based High Energy Physics. 77-86 - Maryleen U. Ndubuaku, Muhammad K. Ali, Ashiq Anjum, Antonio Liotta, Stephan Reiff-Marganiec:
Edge-enhanced analytics via latent space dimensionality reduction. 87-95 - Xinyu Zheng, Yuanmin Wang, Xinghui Zhao, Hakan Gurocak:
Enabling Precise Control of a Haptic Device: A Machine Learning Approach. 96-105 - Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets. 106-115 - Chris Christos Nikolopoulos, Scott Small, Howard Dwyer, Anthony Grichnik, Mageshwaran Mohan, Vishnu Vishwanathan:
Calculating the Topological Resilience of Supply Chain Networks Using Hopfield Neural Networks. 116-123 - Hongwei Jin, Ning Yan, Masood S. Mortazavi:
Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning. 124-133 - Deng Pan, Lixian Sun, Rui Wang, Xingjian Zhang, Richard O. Sinnott:
Deepfake Detection through Deep Learning. 134-143 - Tirana Noor Fatyanosa
Effects of the Number of Hyperparameters on the Performance of GA-CNN. 144-153 - Md. Riftabin Kabir, Tarek Ibne Faysal, Md. Sazzad Hossain
A satellite collision avoidance system based on General Regression Neural Network. 154-160 - Anang Kunaefi
Characterizing User Decision based on Argumentative Reviews. 161-170 - Samara Banno, Hayder Murad
Automated Cognitive Analyses for Intelligent Tutoring Systems. 171-178
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