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Antoniya Georgieva
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2020 – today
- 2022
- [c10]Daniel Asfaw, Ivan Jordanov
, Lawrence Impey, Ana I. L. Namburete, Raymond Lee, Antoniya Georgieva:
Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance. LOD (1) 2022: 459-469
2010 – 2019
- 2019
- [j9]Alessio Petrozziello
, Christopher W. G. Redman, Aris T. Papageorghiou
, Ivan Jordanov
, Antoniya Georgieva
:
Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery. IEEE Access 7: 112026-112036 (2019) - 2018
- [c9]Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva
:
Deep Learning for Continuous Electronic Fetal Monitoring in Labor. EMBC 2018: 5866-5869 - 2014
- [i1]Ben D. Fulcher, Antoniya Georgieva, Christopher W. G. Redman, Nick S. Jones:
Highly comparative fetal heart rate analysis. CoRR abs/1412.1138 (2014) - 2013
- [j8]Antoniya Georgieva, Stephen J. Payne
, Mary Moulden, Christopher W. G. Redman:
Artificial neural networks applied to fetal monitoring in labour. Neural Comput. Appl. 22(1): 85-93 (2013) - [j7]Nedyalko Petrov, Antoniya Georgieva, Ivan Jordanov
:
Self-organizing maps for texture classification. Neural Comput. Appl. 22(7-8): 1499-1508 (2013) - [c8]Liang Xu, Antoniya Georgieva
, Christopher W. G. Redman, Stephen J. Payne
:
Feature selection for computerized fetal heart rate analysis using genetic algorithms. EMBC 2013: 445-448 - 2012
- [j6]Antoniya Georgieva
, Stephen J. Payne
, Mary Moulden, Christopher W. G. Redman:
Relation of fetal heart rate signals with unassignable baseline to poor neonatal state at birth. Medical Biol. Eng. Comput. 50(7): 717-725 (2012) - [c7]Ben D. Fulcher
, Antoniya Georgieva
, Christopher W. G. Redman, Nick S. Jones:
Highly comparative fetal heart rate analysis. EMBC 2012: 3135-3138 - 2011
- [c6]Antoniya Georgieva
, Stephen J. Payne
, Mary Moulden, Christopher W. G. Redman:
Computerized intrapartum electronic fetal monitoring: Analysis of the decision to deliver for fetal distress. EMBC 2011: 5888-5891 - 2010
- [j5]Antoniya Georgieva, Ivan Jordanov
:
A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points. Comput. Oper. Res. 37(3): 456-469 (2010) - [c5]Ivan Jordanov
, Antoniya Georgieva:
Feedforward neural networks for automated classification. IEEE ICCI 2010: 578-582
2000 – 2009
- 2009
- [j4]Antoniya Georgieva, Ivan Jordanov
:
Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms. Eur. J. Oper. Res. 196(2): 413-422 (2009) - [j3]Antoniya Georgieva
, Stephen J. Payne
, Christopher W. G. Redman:
Computerised electronic foetal heart rate monitoring in labour: automated contraction identification. Medical Biol. Eng. Comput. 47(12): 1315-1320 (2009) - [j2]Antoniya Georgieva, Ivan Jordanov
:
Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks. IEEE Trans. Neural Networks 20(4): 675-685 (2009) - 2008
- [b1]Antoniya Georgieva:
Stochastic methods and genetic algorithms for neural network learning. University of Portsmouth, UK, 2008 - [c4]Antoniya Georgieva, Ivan Jordanov
:
Hybrid Metaheuristics for Global Optimization: A Comparative Study. HAIS 2008: 298-305 - [c3]Ivan Jordanov
, Antoniya Georgieva:
Intelligent hybrid system for pattern recognition and classification. CSTST 2008: 19-24 - 2007
- [j1]Ivan Jordanov
, Antoniya Georgieva
:
Neural Network Learning With Global Heuristic Search. IEEE Trans. Neural Networks 18(3): 937-942 (2007) - 2006
- [c2]Antoniya Georgieva, Ivan Jordanov
:
Supervised Neural Network Training with a Hybrid Global Optimization Technique. IJCNN 2006: 3401-3408 - 2005
- [c1]Antoniya Georgieva, Ivan Jordanov
:
A Hybrid Heuristic Method for Global Optimization. HIS 2005: 503-505
Coauthor Index

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