Ruxandra Stoean
Orcid: 0000-0002-9849-5712
According to our database1,
Ruxandra Stoean
authored at least 51 papers
between 2005 and 2023.
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Collaborative distances:
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Bibliography
2023
Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data.
Sensors, December, 2023
Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation.
Axioms, 2023
Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs.
Proceedings of the Advances in Computational Intelligence, 2023
Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts.
Proceedings of the Advances in Computational Intelligence, 2023
2022
Schumann Resonance Modes and Ionosphere Parameters: An Annual Variability Comparison.
IEEE Trans. Instrum. Meas., 2022
On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs.
Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022
Semantic segmentation of fetal heart components in second trimester echocardiography.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
2021
Semantic Segmentation for Corrosion Detection in Archaeological Artefacts before Restoration.
Proceedings of the 23rd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2021
A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound.
Proceedings of the Advances in Computational Intelligence, 2021
A Convolutional Neural Network as a Proxy for the XRF Approximation of the Chemical Composition of Archaeological Artefacts in the Presence of Inter-microscope Variability.
Proceedings of the Advances in Computational Intelligence, 2021
An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks.
Proceedings of the 25th International Conference on System Theory, Control and Computing, 2021
2020
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals.
Sensors, 2020
Analysis on the potential of an EA-surrogate modelling tandem for deep learning parametrization: an example for cancer classification from medical images.
Neural Comput. Appl., 2020
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020
2019
How much and where to use manual guidance in the computational detection of contours for histopathological images?
Soft Comput., 2019
Segmentation of points of interest during fetal cardiac assesment in the first trimester from color Doppler ultrasound.
CoRR, 2019
Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices.
Proceedings of the Advances in Computational Intelligence, 2019
Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the Advances in Computational Intelligence, 2019
2018
Deep Learning for Metal Corrosion Control: Can Convolutional Neural Networks Measure Inhibitor Efficiency?
Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Interpreting Decision Support from Multiple Classifiers for Predicting Length of Stay in Patients with Colorectal Carcinoma - What can a Professional Get from the Opinions of Different Models?
Neural Process. Lett., 2017
Evolutionary Regressor Selection in ARIMA Model for Stock Price Time Series Forecasting.
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017
Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images.
Proceedings of the Advances in Computational Intelligence, 2017
2016
SVM-Based Cancer Grading from Histopathological Images Using Morphological and Topological Features of Glands and Nuclei.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2016, 2016
2015
Investigation on Parameter Effect for Semi-automatic Contour Detection in Histopathological Image Processing.
Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015
Proceedings of the Advances in Computational Intelligence, 2015
Evolutionary Search for An Accurate Contour Segmentation in Histopathological Images.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Support Vector Machines and Evolutionary Algorithms for Classification - Single or Together?
Intelligent Systems Reference Library 69, Springer, ISBN: 978-3-319-06941-8, 2014
Post-evolution of variable-length class prototypes to unlock decision making within support vector machines.
Appl. Soft Comput., 2014
Investigation of Alternative Evolutionary Prototype Generation in Medical Classification.
Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014
2013
Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection.
Expert Syst. Appl., 2013
EA-based parameter tuning of multimodal optimization performance by means of different surrogate models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2011
Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis.
Comput. Biol. Medicine, 2011
Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C.
Artif. Intell. Medicine, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
IEEE Trans. Evol. Comput., 2010
2009
An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy.
Proceedings of the Foundations of Computational Intelligence, 2009
An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy.
Proceedings of the Foundations of Computational Intelligence, 2009
J. Oper. Res. Soc., 2009
2008
Evolutionary placement decisions of a multidisciplinary panel using genetic chromodynamics.
J. Enterp. Inf. Manag., 2008
Investigating Landscape Topology for Subpopulation Differentiation in Genetic Chromodynamics.
Proceedings of the SYNASC 2008, 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006
Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006
2005
Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005