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Tung Kieu Teaching Portfolio
Vis Scopus-profil
Tung Kieu
Ph.D.
Tenure Track Adjunkt
,
Institut for Datalogi
Tenure Track Adjunkt
,
Det Tekniske Fakultet for IT og Design
Tenure Track Adjunkt
,
Data Engineering, Science and Systems
AI for the People
Daisy – Center for Data-intensive Systemer
https://orcid.org/0000-0002-7696-1444
E-mail
tungkvt
cs.aau
dk
Selma Lagerløfs Vej 300
,
3-2-05
9220
Aalborg Ø
Danmark
2017
2023
Publikationer pr. år
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Publikationer
(18)
Lignende profiler
(6)
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Alfabetisk
Computer Science
Outlier Detection
100%
Autoencoder
95%
Time Series Data
52%
Extended Version
50%
Anomaly Detection
40%
Temporal Dynamic
40%
Ensemble Learning
40%
Recurrent Neural Network
24%
Neural Network
23%
Digitalization
23%
Experimental Result
16%
Malicious Actor
15%
Multivariate Time Series
13%
forecasting accuracy
13%
Graph Convolution
13%
Multiple Domain
13%
Model Accuracy
13%
Computing Resource
13%
Decision-Making
13%
Optimal Setting
13%
Classification Accuracy
13%
Generative Adversarial Networks
10%
Parameter Space
10%
Medical Process
10%
Parallelism
10%
Deep Learning
10%
Distinct Pattern
10%
Temporal Correlation
10%
Scientific Process
10%
Art Performance
9%
Data Mining
9%
Fundamental Problem
9%
Projection Matrix
6%
Term Dependency
6%
Long Short-Term Memory Neural Network
6%
Detecting Outlier
6%
Statistical Feature
6%
Cyber Physical Systems
6%
Crowdsourcing Platform
5%
Graph Matching
5%
Reconstruction Error
5%
Computational Resource
5%
Network Structures
5%
Discriminator
5%
Greedy Algorithm
5%
Bipartite Graph
5%
Keyphrases
Time Series Classification
40%
Ensemble Distillation
40%
Adaptive Ensemble
40%
Autoencoder
40%
Recurrent Autoencoder
20%
Traffic Time Series
20%
Temporal-aware
20%
Ensemble Learning
20%
Outlier Detection
20%
Multivariate Time Series Forecasting
20%
Lightweight Model
20%
Multidimensional Time Series
20%
Malicious Actor
15%
Temporal Convolutional Network
13%
Classification Accuracy
13%
Pareto Optimal
13%
Large Ensemble
13%
Resource-limited Environment
13%
Space-time Budget
13%
Explainability
11%
Time Series Data
10%
Sparsely Connected
10%
Implementation Standard
10%
Post-hoc Explainability
9%
Different Bases
6%
Adaptive Weight
6%
Accurate Classification
6%
Process Sensing
6%
Medical Processes
6%
Ensemble Accuracy
6%
Model Accuracy
6%
Sweeping
6%
Edge Devices
6%
Multiple Bases
6%
Model Size
6%
Multiple Domains
6%
Computing Resources
6%
World Time
6%
Rapid Proliferation
6%
Art Classification
6%
Compress
6%
Learning Needs
6%
Memory Neural Network
6%
Multiple Time Series Data
6%
Ordered Observations
6%
Dangerous Driving Behavior
6%
Detecting Outliers
6%
Multivariate Time Series
5%
Socially-aware
5%
Ensemble Framework
5%
Engineering
Outlier Detection
100%
Autoencoder
90%
Model Parameter
30%
Deep Neural Network
20%
Recurrent
20%
Design Choice
20%
Limitations
19%
Data Series
19%
State-of-the-Art Method
13%
Feature Space
13%
Experimental Result
10%
Distinct Set
10%
Improve Efficiency
10%
Parallelism
10%
Real World Application
10%
Parameter Space
10%
Fundamental Problem
9%
Road
6%
Convolutional Neural Network
6%
Dimensionality
6%
Recurrent Neural Network
6%
Long Short-Term Memory
6%
Statistical Feature
6%