Ruxandra Stoean

Orcid: 0000-0002-9849-5712

According to our database1, Ruxandra Stoean authored at least 53 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics.
Axioms, May, 2024

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

Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation.
Proceedings of the 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 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

Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization.
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

Dynamic Clustering of Time Series with Echo State Networks.
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

Non-negative Matrix Factorization for Medical Imaging.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Bioinformatics and medicine in the era of deep learning.
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

Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer.
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

Niching foundations: basin identification on fixed-property generated landscapes.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Multimodal Optimization by Means of a Topological Species Conservation Algorithm.
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

Support vector machine learning with an evolutionary engine.
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

EA-Powered Basin Number Estimation by Means of Preservation and Exploration.
Proceedings of the Parallel Problem Solving from Nature, 2008

2007
Disburdening the species conservation evolutionary algorithm of arguing with radii.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Concerning the potential of evolutionary support vector machines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Cooperative Evolution of Rules for Classification.
Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006

Evolutionary Support Vector Regression Machines.
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


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