Firuz Kamalov

According to our database1, Firuz Kamalov authored at least 18 papers between 2017 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
Stock price forecast with deep learning.
CoRR, 2021

Machine learning applications for COVID-19: A state-of-the-art review.
CoRR, 2021

2020
Forecasting significant stock price changes using neural networks.
Neural Comput. Appl., 2020

Gamma distribution-based sampling for imbalanced data.
Knowl. Based Syst., 2020

Outlier Detection in High Dimensional Data.
J. Inf. Knowl. Manag., 2020

Least Loss: A simplified filter method for feature selection.
Inf. Sci., 2020

Data imbalance in classification: Experimental evaluation.
Inf. Sci., 2020

Kernel density estimation based sampling for imbalanced class distribution.
Inf. Sci., 2020

Machine learning based forecasting of significant daily returns in foreign exchange markets.
CoRR, 2020

Generalized feature similarity measure.
Ann. Math. Artif. Intell., 2020

Forecasting with Deep Learning: S&P 500 index.
Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

Feature selection for intrusion detection systems.
Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

Deep learning regularization in imbalanced data.
Proceedings of the International Conference on Communications, 2020

2019
Orthogonal variance decomposition based feature selection.
CoRR, 2019

KDE sampling for imbalanced class distribution.
CoRR, 2019

2018
A new computational intelligence approach to detect autistic features for autism screening.
Int. J. Medical Informatics, 2018

Sensitivity Analysis for Feature Selection.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning.
J. Inf. Knowl. Manag., 2017


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