Ruxandra Stoean

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 31

Top Topics

Convolutional Neural Network

Colorectal Cancer

Top Venues

Publications

Nebojsa Bacanin, Luka Jovanovic, Ruxandra Stoean, Catalin Stoean, Miodrag Zivkovic, Milos Antonijevic, Milos Dobrojevic
Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics. Axioms 13 (5) (2024)
Ruxandra Stoean, Patricio García Báez, Carmen Paz Suárez Araujo, Nebojsa Bacanin, Miguel A. Atencia Ruiz, Catalin Stoean
Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. IWANN (2) (2023)
Catalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean
Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. IWANN (2) (2023)
Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Alina-Maria Garau, Cristina-Camelia Ghitescu
Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation. SYNASC (2023)
Catalin Stoean, Miodrag Zivkovic, Aleksandra Bozovic, Nebojsa Bacanin, Roma Strulak-Wójcikiewicz, Milos Antonijevic, Ruxandra Stoean
Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation. Axioms 12 (3) (2023)
Ana Minic, Luka Jovanovic, Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Petar Spalevic, Aleksandar Petrovic, Milos Dobrojevic, Ruxandra Stoean
Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data. Sensors 23 (24) (2023)
Catalin Stoean, Nebojsa Bacanin, Wieslaw Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru, Rodica Nagy
Semantic segmentation of fetal heart components in second trimester echocardiography. KES (2022)
Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu
Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts. KES (2022)
Carlos Cano Domingo, Nuria Novas Castellano, Ruxandra Stoean, Manuel Fernandez Ros, José A. Gazquez Parra
Schumann Resonance Modes and Ionosphere Parameters: An Annual Variability Comparison. IEEE Trans. Instrum. Meas. 71 (2022)
Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Cristian Alecsa, Mircea Hotoleanu, Miguel A. Atencia Ruiz, Gonzalo Joya
On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. SYNASC (2022)
Catalin Stoean, Leonard Ionescu, Ruxandra Stoean, Marinela Boicea, Miguel Atencia, Gonzalo Joya
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. IWANN (2) (2021)
Ruxandra Stoean, Dominic Iliescu, Catalin Stoean, Vlad Ilie, Ciprian Patru, Mircea Hotoleanu, Rodica Nagy, Dan Ruican, Rares Trocan, Andreea Marcu, Miguel Atencia, Gonzalo Joya
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. IWANN (1) (2021)
Ruxandra Stoean, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Miguel Atencia, Gonzalo Joya
A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. KES (2021)
Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu
Semantic Segmentation for Corrosion Detection in Archaeological Artefacts before Restoration. SYNASC (2021)
Catalin Stoean, Ruxandra Stoean, Mircea Hotoleanu, Dominic Iliescu, Ciprian Patru, Rodica Nagy
An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks. ICSTCC (2021)
Margarita Rebolledo, Ruxandra Stoean, A. E. Eiben, Thomas Bartz-Beielstein
Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization. BIOMA (2020)
Ruxandra Stoean
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. 32 (2) (2020)
Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20 (11) (2020)
Ruxandra Stoean, Dominic Iliescu, Catalin Stoean
Segmentation of points of interest during fetal cardiac assesment in the first trimester from color Doppler ultrasound. CoRR (2019)
Ruxandra Stoean, Catalin Stoean, Adriana Samide, Gonzalo Joya
Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices. IWANN (1) (2019)
Catalin Stoean, Ruxandra Stoean, Roberto Antonio Becerra-García, Rodolfo García-Bermúdez, Miguel A. Atencia Ruiz, Francisco García-Lagos, Luís Velázquez Pérez, Gonzalo Joya
Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2. IWANN (2) (2019)
Miguel A. Atencia Ruiz, Catalin Stoean, Ruxandra Stoean, Roberto Rodríguez-Labrada, Gonzalo Joya
Dynamic Clustering of Time Series with Echo State Networks. IWANN (2) (2019)
Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia, Daniela Ciobanu
How much and where to use manual guidance in the computational detection of contours for histopathological images? Soft Comput. 23 (11) (2019)
Davide Bacciu, Paulo Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido
Bioinformatics and medicine in the era of deep learning. ESANN (2018)
Ruxandra Stoean, Catalin Stoean, Adriana Samide
Deep Learning for Metal Corrosion Control: Can Convolutional Neural Networks Measure Inhibitor Efficiency? SYNASC (2018)
Davide Bacciu, Paulo J. G. Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido
Bioinformatics and Medicine in the Era of Deep Learning. CoRR (2018)
Miguel A. Atencia Ruiz, Ruxandra Stoean
Non-negative Matrix Factorization for Medical Imaging. ESANN (2018)
Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina
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. 46 (3) (2017)
Stefan Postavaru, Ruxandra Stoean, Catalin Stoean, Gonzalo Joya Caparrós
Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images. IWANN (2) (2017)
Ruxandra Stoean, Catalin Stoean, Adrian Sandita
Evolutionary Regressor Selection in ARIMA Model for Stock Price Time Series Forecasting. KES-IDT (2) (2017)
Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Corina Lavinia Gruia
SVM-Based Cancer Grading from Histopathological Images Using Morphological and Topological Features of Glands and Nuclei. IIMSS (2016)
Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia, Daniela Ciobanu
Evolutionary Search for An Accurate Contour Segmentation in Histopathological Images. GECCO (Companion) (2015)
Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Daniela Ciobanu, Corina Lavinia Gruia
Investigation on Parameter Effect for Semi-automatic Contour Detection in Histopathological Image Processing. SYNASC (2015)
Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina
Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer. IWANN (1) (2015)
Catalin Stoean, Ruxandra Stoean, Adrian Sandita
Investigation of Alternative Evolutionary Prototype Generation in Medical Classification. SYNASC (2014)
Catalin Stoean, Ruxandra Stoean
Post-evolution of variable-length class prototypes to unlock decision making within support vector machines. Appl. Soft Comput. 25 (2014)
Ruxandra Stoean, Catalin Stoean
Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection. Expert Syst. Appl. 40 (7) (2013)
Catalin Stoean, Mike Preuss, Ruxandra Stoean
EA-based parameter tuning of multimodal optimization performance by means of different surrogate models. GECCO (Companion) (2013)
Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea
Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis. Comput. Biol. Medicine 41 (4) (2011)
Ruxandra Stoean, Catalin Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea
Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C. Artif. Intell. Medicine 51 (1) (2011)
Mike Preuss, Catalin Stoean, Ruxandra Stoean
Niching foundations: basin identification on fixed-property generated landscapes. GECCO (2011)
Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
Multimodal Optimization by Means of a Topological Species Conservation Algorithm. IEEE Trans. Evol. Comput. 14 (6) (2010)
Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu
Support vector machine learning with an evolutionary engine. J. Oper. Res. Soc. 60 (8) (2009)
Ruxandra Stoean, Catalin Stoean, D. Dumitrescu
Investigating Landscape Topology for Subpopulation Differentiation in Genetic Chromodynamics. SYNASC (2008)
Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
EA-Powered Basin Number Estimation by Means of Preservation and Exploration. PPSN (2008)
Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
Disburdening the species conservation evolutionary algorithm of arguing with radii. GECCO (2007)
Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumitru Dumitrescu
Concerning the potential of evolutionary support vector machines. IEEE Congress on Evolutionary Computation (2007)
Catalin Stoean, Mike Preuss, Dumitru Dumitrescu, Ruxandra Stoean
Cooperative Evolution of Rules for Classification. SYNASC (2006)
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, Catalin Stoean
Evolutionary Support Vector Regression Machines. SYNASC (2006)