Antoniya Georgieva

Orcid: 0000-0002-5543-6683

According to our database1, Antoniya Georgieva authored at least 20 papers between 2005 and 2022.

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Bibliography

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

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

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

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

Artificial neural networks applied to fetal monitoring in labour.
Neural Comput. Appl., 2013

Feature selection for computerized fetal heart rate analysis using genetic algorithms.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Relation of fetal heart rate signals with unassignable baseline to poor neonatal state at birth.
Medical Biol. Eng. Comput., 2012

Highly comparative fetal heart rate analysis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Computerized intrapartum electronic fetal monitoring: Analysis of the decision to deliver for fetal distress.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

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

Computerised electronic foetal heart rate monitoring in labour: automated contraction identification.
Medical Biol. Eng. Comput., 2009

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

2008
Stochastic methods and genetic algorithms for neural network learning.
PhD thesis, 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


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