Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization. - Catalin Stoean; Mike Preuss; Ruxandra Gorunescu; Dumitru Dumitrescu (Congress on Evolutionary Computation, 2005)

Evolutionary Support Vector Regression Machines. - Ruxandra Stoean; Dumitru Dumitrescu; Mike Preuss; Catalin Stoean (SYNASC, 2006)

Cooperative Evolution of Rules for Classification. - Catalin Stoean; Mike Preuss; Dumitru Dumitrescu; Ruxandra Stoean (SYNASC, 2006)

Concerning the potential of evolutionary support vector machines. - Ruxandra Stoean; Mike Preuss; Catalin Stoean; Dumitru Dumitrescu (IEEE Congress on Evolutionary Computation, 2007)

Disburdening the species conservation evolutionary algorithm of arguing with radii. - Catalin Stoean; Mike Preuss; Ruxandra Stoean; Dumitru Dumitrescu (GECCO, 2007)

EA-Powered Basin Number Estimation by Means of Preservation and Exploration. - Catalin Stoean; Mike Preuss; Ruxandra Stoean; Dumitru Dumitrescu (PPSN, 2008)

Investigating Landscape Topology for Subpopulation Differentiation in Genetic Chromodynamics. - Ruxandra Stoean; Catalin Stoean; D. Dumitrescu (SYNASC, 2008)

Support vector machine learning with an evolutionary engine. - Ruxandra Stoean; Mike Preuss; Catalin Stoean; Elia El-Darzi; D. Dumitrescu (J. Oper. Res. Soc., 2009)

An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. - Ruxandra Stoean; Mike Preuss; Catalin Stoean; Elia El-Darzi; D. Dumitrescu (Foundations of Computational Intelligence (3), 2009)

An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. - Ruxandra Stoean; Mike Preuss; Catalin Stoean; Elia El-Darzi; D. Dumitrescu (Foundations of Computational Intelligence (1), 2009)

Multimodal Optimization by Means of a Topological Species Conservation Algorithm. - Catalin Stoean; Mike Preuss; Ruxandra Stoean; Dumitru Dumitrescu (IEEE Trans. Evol. Comput., 2010)

Niching foundations: basin identification on fixed-property generated landscapes. - Mike Preuss; Catalin Stoean; Ruxandra Stoean (GECCO, 2011)

Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C. - Ruxandra Stoean; Catalin Stoean; Monica Lupsor; Horia Stefanescu; Radu Badea (Artif. Intell. Medicine, 2011)

Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis. - Catalin Stoean; Ruxandra Stoean; Monica Lupsor; Horia Stefanescu; Radu Badea (Comput. Biol. Medicine, 2011)

EA-based parameter tuning of multimodal optimization performance by means of different surrogate models. - Catalin Stoean; Mike Preuss; Ruxandra Stoean (GECCO (Companion), 2013)

Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection. - Ruxandra Stoean; Catalin Stoean (Expert Syst. Appl., 2013)

Investigation of Alternative Evolutionary Prototype Generation in Medical Classification. - Catalin Stoean; Ruxandra Stoean; Adrian Sandita (SYNASC, 2014)

Post-evolution of variable-length class prototypes to unlock decision making within support vector machines. - Catalin Stoean; Ruxandra Stoean (Appl. Soft Comput., 2014)

Support Vector Machines and Evolutionary Algorithms for Classification - Single or Together? - Catalin Stoean; Ruxandra Stoean (Springer, 2014)

Evolutionary Search for An Accurate Contour Segmentation in Histopathological Images. - Catalin Stoean; Ruxandra Stoean; Adrian Sandita; Cristian Mesina; Corina Lavinia Gruia; Daniela Ciobanu (GECCO (Companion), 2015)

Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer. - Ruxandra Stoean; Catalin Stoean; Adrian Sandita; Daniela Ciobanu; Cristian Mesina (IWANN (1), 2015)

Investigation on Parameter Effect for Semi-automatic Contour Detection in Histopathological Image Processing. - Catalin Stoean; Ruxandra Stoean; Adrian Sandita; Cristian Mesina; Daniela Ciobanu; Corina Lavinia Gruia (SYNASC, 2015)

SVM-Based Cancer Grading from Histopathological Images Using Morphological and Topological Features of Glands and Nuclei. - Catalin Stoean; Ruxandra Stoean; Adrian Sandita; Daniela Ciobanu; Cristian Mesina; Corina Lavinia Gruia (IIMSS, 2016)

In Search of the Optimal Set of Indicators when Classifying Histopathological Images. - Catalin Stoean (SYNASC, 2016)

Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images. - Stefan Postavaru; Ruxandra Stoean; Catalin Stoean; Gonzalo Joya Caparrós (IWANN (2), 2017)

Evolutionary Regressor Selection in ARIMA Model for Stock Price Time Series Forecasting. - Ruxandra Stoean; Catalin Stoean; Adrian Sandita (KES-IDT (2), 2017)

Classifier Result Aggregation for Automatically Grading Histopathological Images. - Catalin Stoean; Daniel Lichtblau (SYNASC, 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? - Ruxandra Stoean; Catalin Stoean; Adrian Sandita; Daniela Ciobanu; Cristian Mesina (Neural Process. Lett., 2017)

Text Documents Encoding Through Images for Authorship Attribution. - Daniel Lichtblau; Catalin Stoean (SLSP, 2018)

Deep Learning for Metal Corrosion Control: Can Convolutional Neural Networks Measure Inhibitor Efficiency? - Ruxandra Stoean; Catalin Stoean; Adriana Samide (SYNASC, 2018)

Authorship Attribution Using the Chaos Game Representation. - Daniel Lichtblau; Catalin Stoean (CoRR, 2018)

Dynamic Clustering of Time Series with Echo State Networks. - Miguel A. Atencia Ruiz; Catalin Stoean; Ruxandra Stoean; Roberto Rodríguez-Labrada; Gonzalo Joya (IWANN (2), 2019)

Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2. - Catalin Stoean; Ruxandra Stoean; Roberto Antonio Becerra-García; Rodolfo García-Bermúdez; Miguel A. Atencia Ruiz; Francisco García-Lagos; Luís Velázquez Pérez; Gonzalo Joya (IWANN (2), 2019)

Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices. - Ruxandra Stoean; Catalin Stoean; Adriana Samide; Gonzalo Joya (IWANN (1), 2019)

Segmentation of points of interest during fetal cardiac assesment in the first trimester from color Doppler ultrasound. - Ruxandra Stoean; Dominic Iliescu; Catalin Stoean (CoRR, 2019)

How much and where to use manual guidance in the computational detection of contours for histopathological images? - Catalin Stoean; Ruxandra Stoean; Adrian Sandita; Cristian Mesina; Corina Lavinia Gruia; Daniela Ciobanu (Soft Comput., 2019)

Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. - Catalin Stoean; Ruxandra Stoean; Miguel A. Atencia Ruiz; Moloud Abdar; Luís Velázquez Pérez; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya; Gonzalo Joya (Sensors, 2020)

An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks. - Catalin Stoean; Ruxandra Stoean; Mircea Hotoleanu; Dominic Iliescu; Ciprian Patru; Rodica Nagy (ICSTCC, 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. - Catalin Stoean; Leonard Ionescu; Ruxandra Stoean; Marinela Boicea; Miguel A. Atencia Ruiz; Gonzalo Joya (IWANN (2), 2021)

Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. - Ruxandra Stoean; Dominic Iliescu; Catalin Stoean; Vlad Ilie; Ciprian Patru; Mircea Hotoleanu; Rodica Nagy; Dan Ruican; Rares Trocan; Andreea Marcu; Miguel A. Atencia Ruiz; Gonzalo Joya (IWANN (1), 2021)

A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. - Ruxandra Stoean; Leonard Ionescu; Catalin Stoean; Marinela Boicea; Miguel A. Atencia Ruiz; Gonzalo Joya (KES, 2021)

Sentiment Analysis from Stock Market News in Romanian using Chaos Game Representation. - Catalin Stoean; Daniel Lichtblau (SYNASC, 2021)

A Novel Method for COVID-19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm. - Miodrag Zivkovic; Catalin Stoean; Aleksandar Petrovic; Nebojsa Bacanin; Ivana Strumberger; Tamara Zivkovic (SYNASC, 2021)

COVID-19 antibody level analysis with feature selection approach. - Wieslaw Paja; Krzysztof Pancerz; Catalin Stoean (KES, 2022)

Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts. - Ruxandra Stoean; Nebojsa Bacanin; Leonard Ionescu; Catalin Stoean; Marinela Boicea; Alina-Maria Garau; Cristina-Camelia Ghitescu (KES, 2022)

Semantic segmentation of fetal heart components in second trimester echocardiography. - Catalin Stoean; Nebojsa Bacanin; Wieslaw Paja; Ruxandra Stoean; Dominic Iliescu; Ciprian Patru; Rodica Nagy (KES, 2022)

Investigating the Relationship Between Romanian Financial News and Closing Prices from the Bucharest Stock Exchange. - Ioan-Bogdan Iordache; Ana Sabina Uban; Catalin Stoean; Liviu P. Dinu (LREC, 2022)

On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. - Catalin Stoean; Nebojsa Bacanin; Ruxandra Stoean; Leonard Ionescu; Cristian Daniel Alecsa; Mircea Hotoleanu; Miguel A. Atencia Ruiz; Gonzalo Joya (SYNASC, 2022)

Multi-Swarm Algorithm for Extreme Learning Machine Optimization. - Nebojsa Bacanin; Catalin Stoean; Miodrag Zivkovic; Dijana Jovanovic; Milos Antonijevic; Djordje Mladenovic (Sensors, 2022)

Novel Improved Salp Swarm Algorithm: An Application for Feature Selection. - Miodrag Zivkovic; Catalin Stoean; Amit Chhabra; Nebojsa Budimirovic; Aleksandar Petrovic; Nebojsa Bacanin (Sensors, 2022)

Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. - Ruxandra Stoean; Patricio García Báez; Carmen Paz Suárez Araujo; Nebojsa Bacanin; Miguel A. Atencia Ruiz; Catalin Stoean (IWANN (2), 2023)

Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. - Catalin Stoean; Nebojsa Bacanin; Zeev Volkovich; Leonard Ionescu; Ruxandra Stoean (IWANN (2), 2023)

Solar Flare Classification using Modified Metaheuristic Optimized XGBoost. - Branislav Radomirovic; Luka Jovanovic; Catalin Stoean; Miodrag Zivkovic; Angelina Njegus; Nebojsa Bacanin (SYNASC, 2023)

Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation. - Catalin Stoean; Nebojsa Bacanin; Ruxandra Stoean; Leonard Ionescu; Alina-Maria Garau; Cristina-Camelia Ghitescu (SYNASC, 2023)

Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation. - Catalin Stoean; Miodrag Zivkovic; Aleksandra Bozovic; Nebojsa Bacanin; Roma Strulak-Wójcikiewicz; Milos Antonijevic; Ruxandra Stoean (Axioms, 2023)

Chaos game representation for authorship attribution. - Daniel Lichtblau; Catalin Stoean (Artif. Intell., 2023)

Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data. - Ana Minic; Luka Jovanovic; Nebojsa Bacanin; Catalin Stoean; Miodrag Zivkovic; Petar C. Spalevic; Aleksandar Petrovic; Milos Dobrojevic; Ruxandra Stoean (Sensors, 2023)

Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data Science Platform. - Nebojsa Bacanin; Luka Jovanovic; Ilja Uzelac Bujisic; Catalin Stoean; Jelena Kaljevic; Jelena Cadjenovic; Milos Antonijevic; Miodrag Zivkovic (SYNASC, 2024)

Assessing Predictor Influence in LSTM Models for Enhanced Solar Energy Forecasting. - Alexandru-Adrian Ciobanu; Nebojsa Bacanin; Tilman Sanders; Catalin Stoean (SYNASC, 2024)

Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics. - Nebojsa Bacanin; Luka Jovanovic; Ruxandra Stoean; Catalin Stoean; Miodrag Zivkovic; Milos Antonijevic; Milos Dobrojevic (Axioms, 2024)

Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets. - Nebojsa Bacanin; Catalin Stoean; Dusan Markovic; Miodrag Zivkovic; Tarik A. Rashid; Amit Chhabra; Marko Sarac (Multim. Tools Appl., 2024)