Antoniya Georgieva - researchr alias

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Viewing Publication 1 - 21 from 21

2024

Gated Self Attention Convolutional Neural Networks for Predicting Adverse Birth OutcomesDaniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana I. L. Namburete, Raymond Lee, Antoniya Georgieva. iiaiaai 2024: 259-266 [doi]

A deep learning method for locating fetal heart rate decelerations during labour using crowd-sourced dataJohn Tolladay, Mariana Tome, Antoniya Georgieva. eswa, 255:124609, 2024. [doi]

2022

Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their PerformanceDaniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana Namburete, Raymond Lee, Antoniya Georgieva. mod 2023: 459-469 [doi]

2019

Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and DeliveryAlessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva. access, 7:112026-112036, 2019. [doi]

2018

Deep Learning for Continuous Electronic Fetal Monitoring in LaborAlessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva. embc 2018: 5866-5869 [doi]

2013

2012

Highly comparative fetal heart rate analysisBen D. Fulcher, Antoniya Georgieva, Christopher W. G. Redman, Nick S. Jones. embc 2012: 3135-3138 [doi]

Relation of fetal heart rate signals with unassignable baseline to poor neonatal state at birthAntoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman. mbec, 50(7):717-725, 2012. [doi]

2011

Computerized intrapartum electronic fetal monitoring: Analysis of the decision to deliver for fetal distressAntoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman. embc 2011: 5888-5891 [doi]

2010

A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of pointsAntoniya Georgieva, Ivan Jordanov. cor, 37(3):456-469, 2010. [doi]

Feedforward neural networks for automated classificationIvan Jordanov, Antoniya Georgieva. IEEEicci 2010: 578-582 [doi]

2009

Intelligent Visual Recognition and Classification of Cork Tiles With Neural NetworksAntoniya Georgieva, Ivan Jordanov. tnn, 20(4):675-685, 2009. [doi]

Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithmsAntoniya Georgieva, Ivan Jordanov. eor, 196(2):413-422, 2009. [doi]

Computerised electronic foetal heart rate monitoring in labour: automated contraction identificationAntoniya Georgieva, Stephen J. Payne, Christopher W. G. Redman. mbec, 47(12):1315-1320, 2009. [doi]

2008

Stochastic methods and genetic algorithms for neural network learningAntoniya Georgieva. PhD thesis, University of Portsmouth, UK, 2008. [doi]

Hybrid Metaheuristics for Global Optimization: A Comparative StudyAntoniya Georgieva, Ivan Jordanov. HAIS 2008: 298-305 [doi]

Intelligent hybrid system for pattern recognition and classificationIvan Jordanov, Antoniya Georgieva. wstst 2008: 19-24 [doi]

2007

Neural Network Learning With Global Heuristic SearchIvan Jordanov, Antoniya Georgieva. tnn, 18(3):937-942, 2007. [doi]

2006

Supervised Neural Network Training with a Hybrid Global Optimization TechniqueAntoniya Georgieva, Ivan Jordanov. ijcnn 2006: 3401-3408 [doi]

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