Antoniya Georgieva

According to our database, Antoniya Georgieva authored at least 22 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

A deep learning method for locating fetal heart rate decelerations during labour using crowd-sourced data.

John Tolladay, Mariana Tome, Antoniya Georgieva

Expert Syst. Appl., 2024

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

Daniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana I. L. Namburete, Raymond Lee, Antoniya Georgieva

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

2022

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

Daniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana I. L. Namburete, Raymond Lee, Antoniya Georgieva

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

2019

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

Alessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva

IEEE Access, 2019

2018

Deep Learning for Continuous Electronic Fetal Monitoring in Labor.

Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2013

Self-organizing maps for texture classification.

Nedyalko Petrov, Antoniya Georgieva, Ivan Jordanov

Neural Comput. Appl., 2013

Artificial neural networks applied to fetal monitoring in labour.

Antoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman

Neural Comput. Appl., 2013

Feature selection for computerized fetal heart rate analysis using genetic algorithms.

Liang Xu, Antoniya Georgieva, Christopher W. G. Redman, Stephen J. Payne

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.

Antoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman

Medical Biol. Eng. Comput., 2012

Highly comparative fetal heart rate analysis.

Ben D. Fulcher, Antoniya Georgieva, Christopher W. G. Redman, Nick S. Jones

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.

Antoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman

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.

Antoniya Georgieva, Ivan Jordanov

Comput. Oper. Res., 2010

Feedforward neural networks for automated classification.

Ivan Jordanov, Antoniya Georgieva

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

2009

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

Antoniya Georgieva, Ivan Jordanov

IEEE Trans. Neural Networks, 2009

Computerised electronic foetal heart rate monitoring in labour: automated contraction identification.

Antoniya Georgieva, Stephen J. Payne, Christopher W. G. Redman

Medical Biol. Eng. Comput., 2009

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

Antoniya Georgieva, Ivan Jordanov

Eur. J. Oper. Res., 2009

2008

Stochastic methods and genetic algorithms for neural network learning.

Antoniya Georgieva

PhD thesis, 2008

Intelligent hybrid system for pattern recognition and classification.

Ivan Jordanov, Antoniya Georgieva

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.

Antoniya Georgieva, Ivan Jordanov

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

2007

Neural Network Learning With Global Heuristic Search.

Ivan Jordanov, Antoniya Georgieva

IEEE Trans. Neural Networks, 2007

2006

Supervised Neural Network Training with a Hybrid Global Optimization Technique.

Antoniya Georgieva, Ivan Jordanov

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

A Hybrid Heuristic Method for Global Optimization.

Antoniya Georgieva, Ivan Jordanov

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