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

This page contains an index consisting of author-provided keywords.

A
ADNI	A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
Air Pollution Prediction	Attention Models for PM25 Prediction
Alzheimer’s disease	A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
Anomaly Detection	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
app analytics	Characterizing User Decision based on Argumentative Reviews
argument mining	Characterizing User Decision based on Argumentative Reviews
Artificial Intelligence	Calculating the Topological Resilience of Supply Chain Networks Using Hopfield Neural Networks
asynchronous algorithm	Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning
Attention Model	Attention Models for PM25 Prediction
Autoencoder	Edge-enhanced analytics via latent space dimensionality reduction
B
Benchmarking	A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications
Big Data	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection Interpretability of Machine Learning in Accelerator-based High Energy Physics A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications
Big data applications	Enabling Precise Control of a Haptic Device: A Machine Learning Approach
big data visualization	Agami: Scalable Visual Analytics over Multidimensional Data Streams
Boolean AND queries	A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents
C
Cloud Computing	Edge-enhanced analytics via latent space dimensionality reduction
Collision Avoidance	A satellite collision avoidance system based on General Regression Neural Network
Communication Patterns	A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications
Convolutional neural network	A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
convolutional neural networks	Effects of the Number of Hyperparameters on the Performance of GA-CNN
D
data integration	Large-scale Data Integration Using Graph Probabilistic Dependencies
data science	Large-scale Data Integration Using Graph Probabilistic Dependencies
data sketches	Agami: Scalable Visual Analytics over Multidimensional Data Streams
Deep Learning	Attention Models for PM25 Prediction Edge-enhanced analytics via latent space dimensionality reduction Interpretability of Machine Learning in Accelerator-based High Energy Physics A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
DeepFake Detection	Deepfake Detection through Deep Learning
Dimensionality Reduction	Edge-enhanced analytics via latent space dimensionality reduction
Distributed ensemble learning	Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets
E
Edge Computing	Edge-enhanced analytics via latent space dimensionality reduction
Educational Data mining	Automated Cognitive Analyses for Intelligent Tutoring Systems
Explainable Artificial Intelligence	Interpretability of Machine Learning in Accelerator-based High Energy Physics
F
FaceForenscis++	Deepfake Detection through Deep Learning
federated machine learning	Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning
federated system simulation	Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning
G
genetic algorithms	Effects of the Number of Hyperparameters on the Performance of GA-CNN
graph neural network	An Inter-session Recommendation Framework with Multihop Gated Memory
graph probabilistic dependencies	Large-scale Data Integration Using Graph Probabilistic Dependencies
Graph-Based Index	A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents
GRNN	A satellite collision avoidance system based on General Regression Neural Network
H
Haptic devices	Enabling Precise Control of a Haptic Device: A Machine Learning Approach
High Energy Physics	Interpretability of Machine Learning in Accelerator-based High Energy Physics
hyperparameter optimization	Effects of the Number of Hyperparameters on the Performance of GA-CNN
I
information retrieval	Large-scale Data Integration Using Graph Probabilistic Dependencies
Intelligent Tutoring Systems	Automated Cognitive Analyses for Intelligent Tutoring Systems
inter-session correlation	An Inter-session Recommendation Framework with Multihop Gated Memory
K
Keras	Deepfake Detection through Deep Learning
keyword search	A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents
M
Machine Learning	A satellite collision avoidance system based on General Regression Neural Network Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection Interpretability of Machine Learning in Accelerator-based High Energy Physics A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications Enabling Precise Control of a Haptic Device: A Machine Learning Approach
Mild cognitive impairment	A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
MobileNet	Deepfake Detection through Deep Learning
Modelling	A Survey: Benchmarking and Performance of Modelling of Data-Intensive Applications
multihop gated memory network	An Inter-session Recommendation Framework with Multihop Gated Memory
N
Neural Network	A satellite collision avoidance system based on General Regression Neural Network
Neural Networks	Calculating the Topological Resilience of Supply Chain Networks Using Hopfield Neural Networks Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
NoSQL databases	Large-scale Data Integration Using Graph Probabilistic Dependencies
O
online machine learning	Agami: Scalable Visual Analytics over Multidimensional Data Streams
P
parallel model training	Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets
PM2.5 Prediction	Attention Models for PM25 Prediction
R
Recurrent Neural Networks	Attention Models for PM25 Prediction
requirement analysis	Characterizing User Decision based on Argumentative Reviews
review mining	Characterizing User Decision based on Argumentative Reviews
S
Satellites	A satellite collision avoidance system based on General Regression Neural Network
session-based recommendation	An Inter-session Recommendation Framework with Multihop Gated Memory
Sketching Algorithms	Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
Smart City	Attention Models for PM25 Prediction
Smart Health	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
Space Systems	A satellite collision avoidance system based on General Regression Neural Network
Spacecrafts	A satellite collision avoidance system based on General Regression Neural Network
Spatiotemporal Data	Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
Statistical Machine Learning	Automated Cognitive Analyses for Intelligent Tutoring Systems
Streaming visualization	Agami: Scalable Visual Analytics over Multidimensional Data Streams
supply chain optimization	Calculating the Topological Resilience of Supply Chain Networks Using Hopfield Neural Networks
T
TensorFlow	Deepfake Detection through Deep Learning
text indexing	A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents
V
Visualization	Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
voluminous datasets	Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets
X
Xception	Deepfake Detection through Deep Learning

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