Smaranda Belciug
Orcid: 0000-0003-2950-3501Affiliations:
- University of Craiova, Romania
- University of Pitesti, Romania (PhD 2010)
According to our database1,
Smaranda Belciug
authored at least 27 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Autonomous fetal morphology scan: deep learning + clustering merger - the second pair of eyes behind the doctor.
BMC Medical Informatics Decis. Mak., December, 2024
2023
Pregnancy with Artificial Intelligence - A 9.5 Months Journey From Preconception to Birth
Intelligent Systems Reference Library 234, Springer, ISBN: 978-3-031-18153-5, 2023
Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation.
J. Biomed. Informatics, 2023
Intell. Decis. Technol., 2023
Knowledge-based statistical data analysis for deep learning and voting classifiers merger.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Probabilistic Framework Based on Deep Learning for Differentiating Ultrasound Movie View Planes.
Proceedings of the Machine Learning and Knowledge Extraction, 2023
2022
Int. J. Comput. Commun. Control, September, 2022
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022
Proceedings of the Advances in Selected Artificial Intelligence Areas, 2022
2021
Parallel versus cascaded logistic regression trained single-hidden feedforward neural network for medical data.
Expert Syst. Appl., 2021
2020
Intelligent Systems Reference Library 157, Springer, ISBN: 978-3-030-14353-4, 2020
Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research.
J. Biomed. Informatics, 2020
2018
Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra datasets in cancer detection.
J. Biomed. Informatics, 2018
2016
Proceedings of the Machine Learning for Health Informatics, 2016
Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis.
J. Biomed. Informatics, 2016
A hybrid genetic algorithm-queuing multi-compartment model for optimizing inpatient bed occupancy and associated costs.
Artif. Intell. Medicine, 2016
2015
Improving hospital bed occupancy and resource utilization through queuing modeling and evolutionary computation.
J. Biomed. Informatics, 2015
2014
Evolutionary strategy to develop learning-based decision systems. Application to breast cancer and liver fibrosis stadialization.
J. Biomed. Informatics, 2014
Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis.
J. Biomed. Informatics, 2014
2013
A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence.
Expert Syst. J. Knowl. Eng., 2013
2012
Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network.
Expert Syst. Appl., 2012
2011
Competitive/collaborative neural computing system for medical diagnosis in pancreatic cancer detection.
Expert Syst. J. Knowl. Eng., 2011
2010
A statistical framework for evaluating neural networks to predict recurrent events in breast cancer.
Int. J. Gen. Syst., 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Patient grouping optimization using a hybrid self-organizing map and Gaussian mixture model for length of stay-based clustering system.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010
A partially connected neural network-based approach with application to breast cancer detection and recurrence.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010
2005
An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005