Ivan Jordanov

IEEE Access, 2024

Gated Self Attention Convolutional Neural Networks for Predicting Adverse Birth Outcomes.

[BibT_eX]

[DOI]

Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

2022

Deep learning for volatility forecasting in asset management.

[BibT_eX]

[DOI]

Soft Comput., 2022

Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

LULC Image Classification with Convolutional Neural Network.

[BibT_eX]

[DOI]

Anas Tukur Balarabe

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019

Convergence properties of quantum evolutionary algorithms on high dimension problems.

[BibT_eX]

[DOI]

Joe Wright

Neurocomputing, 2019

Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery.

[BibT_eX]

[DOI]

Christopher W. G. Redman

Aris T. Papageorghiou

IEEE Access, 2019

Automated Deep Learning for Threat Detection in Luggage from X-Ray Images.

[BibT_eX]

[DOI]

Proceedings of the Analysis of Experimental Algorithms - Special Event, 2019

2018

Classifiers Accuracy Improvement Based on Missing Data Imputation.

[BibT_eX]

[DOI]

J. Artif. Intell. Soft Comput. Res., 2018

Feature Based Multivariate Data Imputation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Distributed Neural Networks for Missing Big Data Imputation.

[BibT_eX]

[DOI]

Christian Sommeregger

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Learning for Continuous Electronic Fetal Monitoring in Labor.

[BibT_eX]

[DOI]

Aris T. Papageorghiou

Christopher W. G. Redman

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.

[BibT_eX]

[DOI]

Joe Wright

Integr. Comput. Aided Eng., 2017

Column-wise Guided Data Imputation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2017

2016

Intelligent Radar Signal Recognition and Classification.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Supervised radar signal classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Intelligent Approaches in Locomotion - A Review.

[BibT_eX]

[DOI]

Joe Wright

J. Intell. Robotic Syst., 2015

Computational intelligence for data analytics.

[BibT_eX]

[DOI]

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Quantum Evolutionary Methods for Real Value Problems.

[BibT_eX]

[DOI]

Jonathan Wright

Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

2014

Sets with incomplete and missing data - NN radar signal classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Self-organizing maps for texture classification.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Special Issue: Contemporary development of neural computation and applications.

[BibT_eX]

[DOI]

Bruno Apolloni

Nikola K. Kasabov

Neural Comput. Appl., 2013

Radar Emitter Signals Recognition and Classification with Feedforward Networks.

[BibT_eX]

[DOI]

Jon Roe

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.

[BibT_eX]

[DOI]

Jon Roe

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

An overview of the use of neural networks for data mining tasks.

[BibT_eX]

[DOI]

Frederic T. Stahl

WIREs Data Mining Knowl. Discov., 2012

Intelligent approaches in locomotion.

[BibT_eX]

[DOI]

Jonathan Wright

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.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2010

Feedforward neural networks for automated classification.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2009

2008

Intelligent hybrid system for pattern recognition and classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

2007

Neural Network Learning With Global Heuristic Search.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2007

2006

Supervised Neural Network Training with a Hybrid Global Optimization Technique.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

A Hybrid Heuristic Method for Global Optimization.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

1999

Neural Network Learning Using Low-Discrepancy Sequence.

[BibT_eX]

[DOI]