Ivan Jordanov

According to our database1, Ivan Jordanov authored at least 34 papers between 1999 and 2022.

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Bibliography

2022
Deep learning for volatility forecasting in asset management.
Soft Comput., 2022

Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021
LULC Image Classification with Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019
Convergence properties of quantum evolutionary algorithms on high dimension problems.
Neurocomputing, 2019

Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery.
IEEE Access, 2019

Automated Deep Learning for Threat Detection in Luggage from X-Ray Images.
Proceedings of the Analysis of Experimental Algorithms - Special Event, 2019

2018
Classifiers Accuracy Improvement Based on Missing Data Imputation.
J. Artif. Intell. Soft Comput. Res., 2018

Feature Based Multivariate Data Imputation.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Distributed Neural Networks for Missing Big Data Imputation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Learning for Continuous Electronic Fetal Monitoring in Labor.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Quantum inspired evolutionary algorithms with improved rotation gates for real-coded synthetic and real world optimization problems.
Integr. Comput. Aided Eng., 2017

Column-wise Guided Data Imputation.
Proceedings of the International Conference on Computational Science, 2017

2016
Intelligent Radar Signal Recognition and Classification.
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Supervised radar signal classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Intelligent Approaches in Locomotion - A Review.
J. Intell. Robotic Syst., 2015

Computational intelligence for data analytics.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Quantum Evolutionary Methods for Real Value Problems.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

2014
Sets with incomplete and missing data - NN radar signal classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Self-organizing maps for texture classification.
Neural Comput. Appl., 2013

Special Issue: Contemporary development of neural computation and applications.
Neural Comput. Appl., 2013

Radar Emitter Signals Recognition and Classification with Feedforward Networks.
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

Identification of radar signals using neural network classifier with low-discrepancy optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
An overview of the use of neural networks for data mining tasks.
WIREs Data Mining Knowl. Discov., 2012

Intelligent approaches in locomotion.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010
A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points.
Comput. Oper. Res., 2010

Feedforward neural networks for automated classification.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks.
IEEE Trans. Neural Networks, 2009

Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms.
Eur. J. Oper. Res., 2009

2008
Intelligent hybrid system for pattern recognition and classification.
Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008

Hybrid Metaheuristics for Global Optimization: A Comparative Study.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

2007
Neural Network Learning With Global Heuristic Search.
IEEE Trans. Neural Networks, 2007

2006
Supervised Neural Network Training with a Hybrid Global Optimization Technique.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
A Hybrid Heuristic Method for Global Optimization.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

1999
Neural Network Learning Using Low-Discrepancy Sequence.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999


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