Zahra Ghafoori

According to our database1, Zahra Ghafoori authored at least 15 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Online presence:

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Bibliography

2020
LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection.
IEEE Trans. Knowl. Data Eng., 2020

Unsupervised online change point detection in high-dimensional time series.
Knowl. Inf. Syst., 2020

Deep Multi-sphere Support Vector Data Description.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019
Approximating Dunn's Cluster Validity Indices for Partitions of Big Data.
IEEE Trans. Cybern., 2019

Unsupervised and Active Learning Using Maximin-Based Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Change Point Detection for Streaming High-Dimensional Time Series.
Proceedings of the Database Systems for Advanced Applications, 2019

Seeding on Samples for Accelerating K-Means Clustering.
Proceedings of the 3rd International Conference on Big Data and Internet of Things, 2019

Online K-Means Clustering with Lightweight Coresets.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Robust and efficient unsupervised anomaly detection in complex and dynamic environments.
PhD thesis, 2018

Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines.
IEEE Trans. Neural Networks Learn. Syst., 2018

Dealing with Inliers in Feature Vector Data.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

Estimating Generalized Dunn's Cluster Validity Indices for Big Data.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2016
Unsupervised Parameter Estimation for One-Class Support Vector Machines.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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