Catalin Stoean

63 papers A 3B 7Misc 15Journal 18Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data. IWANN (2) Alexandru-Adrian Ciobanu, Nebojsa Bacanin, Catalin Stoean
2025	—	`conf`	Generative AI for Contextualizing Bronze Age Objects in Historical Scenes. IWANN (1) Mircea-Andrei Radu, Ionut-Cristian Calinescu, Nebojsa Bacanin, Leonard Ionescu, Lucian Popescu-Vava, Catalin Stoean
2024	Misc	`conf`	Assessing Predictor Influence in LSTM Models for Enhanced Solar Energy Forecasting. SYNASC Alexandru-Adrian Ciobanu, Nebojsa Bacanin, Tilman Sanders, Catalin Stoean
2024	J	`jnl`	Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets. Multim. Tools Appl. Nebojsa Bacanin, Catalin Stoean, Dusan Markovic, Miodrag Zivkovic, Tarik A. Rashid, Amit Chhabra, Marko Sarac
2024	Misc	`conf`	Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data Science Platform. SYNASC Nebojsa Bacanin, Luka Jovanovic, Ilja Uzelac Bujisic, Catalin Stoean, Jelena Kaljevic, Jelena Cadjenovic, Milos Antonijevic, Miodrag Zivkovic
2024	J	`jnl`	Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics. Axioms Nebojsa Bacanin, Luka Jovanovic, Ruxandra Stoean, Catalin Stoean, Miodrag Zivkovic, Milos Antonijevic, Milos Dobrojevic
2023	J	`jnl`	Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data. Sensors Ana Minic, Luka Jovanovic, Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Petar C. Spalevic, Aleksandar Petrovic, Milos Dobrojevic, Ruxandra Stoean
2023	—	`conf`	Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. IWANN (2) Ruxandra Stoean, Patricio García Báez, Carmen Paz Suárez Araujo, Nebojsa Bacanin, Miguel A. Atencia Ruiz, Catalin Stoean
2023	J	`jnl`	Chaos game representation for authorship attribution. Artif. Intell. Daniel Lichtblau, Catalin Stoean
2023	Misc	`conf`	Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation. SYNASC Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Alina-Maria Garau, Cristina-Camelia Ghitescu
2023	J	`jnl`	Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation. Axioms Catalin Stoean, Miodrag Zivkovic, Aleksandra Bozovic, Nebojsa Bacanin, Roma Strulak-Wójcikiewicz, Milos Antonijevic, Ruxandra Stoean
2023	Misc	`conf`	Solar Flare Classification using Modified Metaheuristic Optimized XGBoost. SYNASC Branislav Radomirovic, Luka Jovanovic, Catalin Stoean, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin
2023	—	`conf`	Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. IWANN (2) Catalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean
2022	B	`conf`	COVID-19 antibody level analysis with feature selection approach. KES Wieslaw Paja, Krzysztof Pancerz, Catalin Stoean
2022	B	`conf`	Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts. KES Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu
2022	B	`conf`	Investigating the Relationship Between Romanian Financial News and Closing Prices from the Bucharest Stock Exchange. LREC Ioan-Bogdan Iordache, Ana Sabina Uban, Catalin Stoean, Liviu P. Dinu
2022	J	`jnl`	Multi-Swarm Algorithm for Extreme Learning Machine Optimization. Sensors Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Dijana Jovanovic, Milos Antonijevic, Djordje Mladenovic
2022	J	`jnl`	Novel Improved Salp Swarm Algorithm: An Application for Feature Selection. Sensors Miodrag Zivkovic, Catalin Stoean, Amit Chhabra, Nebojsa Budimirovic, Aleksandar Petrovic, Nebojsa Bacanin
2022	Misc	`conf`	On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. SYNASC Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Cristian Daniel Alecsa, Mircea Hotoleanu, Miguel A. Atencia Ruiz, Gonzalo Joya
2022	B	`conf`	Semantic segmentation of fetal heart components in second trimester echocardiography. KES Catalin Stoean, Nebojsa Bacanin, Wieslaw Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru, Rodica Nagy
2021	—	`conf`	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) Catalin Stoean, Leonard Ionescu, Ruxandra Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya
2021	B	`conf`	A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. KES Ruxandra Stoean, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya
2021	Misc	`conf`	A Novel Method for COVID-19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm. SYNASC Miodrag Zivkovic, Catalin Stoean, Aleksandar Petrovic, Nebojsa Bacanin, Ivana Strumberger, Tamara Zivkovic
2021	—	`conf`	An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks. ICSTCC Catalin Stoean, Ruxandra Stoean, Mircea Hotoleanu, Dominic Iliescu, Ciprian Patru, Rodica Nagy
2021	—	`conf`	Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. IWANN (1) 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
2021	Misc	`conf`	Sentiment Analysis from Stock Market News in Romanian using Chaos Game Representation. SYNASC Catalin Stoean, Daniel Lichtblau
2020	J	`jnl`	Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya
2019	—	`conf`	Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices. IWANN (1) Ruxandra Stoean, Catalin Stoean, Adriana Samide, Gonzalo Joya
2019	—	`conf`	Dynamic Clustering of Time Series with Echo State Networks. IWANN (2) Miguel A. Atencia Ruiz, Catalin Stoean, Ruxandra Stoean, Roberto Rodríguez-Labrada, Gonzalo Joya
2019	J	`jnl`	How much and where to use manual guidance in the computational detection of contours for histopathological images? Soft Comput. Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia, Daniela Ciobanu
2019	J	`jnl`	Segmentation of points of interest during fetal cardiac assesment in the first trimester from color Doppler ultrasound. CoRR Ruxandra Stoean, Dominic Iliescu, Catalin Stoean
2019	—	`conf`	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) Catalin Stoean, Ruxandra Stoean, Roberto Antonio Becerra-García, Rodolfo García-Bermúdez, Miguel A. Atencia Ruiz, Francisco García-Lagos, Luís Velázquez Pérez, Gonzalo Joya
2018	J	`jnl`	Authorship Attribution Using the Chaos Game Representation. CoRR Daniel Lichtblau, Catalin Stoean
2018	Misc	`conf`	Deep Learning for Metal Corrosion Control: Can Convolutional Neural Networks Measure Inhibitor Efficiency? SYNASC Ruxandra Stoean, Catalin Stoean, Adriana Samide
2018	—	`conf`	Text Documents Encoding Through Images for Authorship Attribution. SLSP Daniel Lichtblau, Catalin Stoean
2017	—	`conf`	Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images. IWANN (2) Stefan Postavaru, Ruxandra Stoean, Catalin Stoean, Gonzalo Joya Caparrós
2017	Misc	`conf`	Classifier Result Aggregation for Automatically Grading Histopathological Images. SYNASC Catalin Stoean, Daniel Lichtblau
2017	—	`conf`	Evolutionary Regressor Selection in ARIMA Model for Stock Price Time Series Forecasting. KES-IDT (2) Ruxandra Stoean, Catalin Stoean, Adrian Sandita
2017	J	`jnl`	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. Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina
2016	Misc	`conf`	In Search of the Optimal Set of Indicators when Classifying Histopathological Images. SYNASC Catalin Stoean
2016	—	`conf`	SVM-Based Cancer Grading from Histopathological Images Using Morphological and Topological Features of Glands and Nuclei. IIMSS Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Corina Lavinia Gruia
2015	—	`conf`	Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer. IWANN (1) Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina
2015	—	`conf`	Evolutionary Search for An Accurate Contour Segmentation in Histopathological Images. GECCO (Companion) Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia, Daniela Ciobanu
2015	Misc	`conf`	Investigation on Parameter Effect for Semi-automatic Contour Detection in Histopathological Image Processing. SYNASC Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Daniela Ciobanu, Corina Lavinia Gruia
2014	Misc	`conf`	Investigation of Alternative Evolutionary Prototype Generation in Medical Classification. SYNASC Catalin Stoean, Ruxandra Stoean, Adrian Sandita
2014	J	`jnl`	Post-evolution of variable-length class prototypes to unlock decision making within support vector machines. Appl. Soft Comput. Catalin Stoean, Ruxandra Stoean
2014	—	`book`	Support Vector Machines and Evolutionary Algorithms for Classification - Single or Together? Catalin Stoean, Ruxandra Stoean
2013	—	`conf`	EA-based parameter tuning of multimodal optimization performance by means of different surrogate models. GECCO (Companion) Catalin Stoean, Mike Preuss, Ruxandra Stoean
2013	J	`jnl`	Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection. Expert Syst. Appl. Ruxandra Stoean, Catalin Stoean
2011	J	`jnl`	Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C. Artif. Intell. Medicine Ruxandra Stoean, Catalin Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea
2011	J	`jnl`	Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis. Comput. Biol. Medicine Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea
2011	A	`conf`	Niching foundations: basin identification on fixed-property generated landscapes. GECCO Mike Preuss, Catalin Stoean, Ruxandra Stoean
2010	J	`jnl`	Multimodal Optimization by Means of a Topological Species Conservation Algorithm. IEEE Trans. Evol. Comput. Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
2009	—	`ch.`	An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. Foundations of Computational Intelligence (3) Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu
2009	—	`ch.`	An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. Foundations of Computational Intelligence (1) Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu
2009	J	`jnl`	Support vector machine learning with an evolutionary engine. J. Oper. Res. Soc. Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu
2008	A	`conf`	EA-Powered Basin Number Estimation by Means of Preservation and Exploration. PPSN Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
2008	Misc	`conf`	Investigating Landscape Topology for Subpopulation Differentiation in Genetic Chromodynamics. SYNASC Ruxandra Stoean, Catalin Stoean, D. Dumitrescu
2007	B	`conf`	Concerning the potential of evolutionary support vector machines. IEEE Congress on Evolutionary Computation Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumitru Dumitrescu
2007	A	`conf`	Disburdening the species conservation evolutionary algorithm of arguing with radii. GECCO Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
2006	Misc	`conf`	Cooperative Evolution of Rules for Classification. SYNASC Catalin Stoean, Mike Preuss, Dumitru Dumitrescu, Ruxandra Stoean
2006	Misc	`conf`	Evolutionary Support Vector Regression Machines. SYNASC Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, Catalin Stoean
2005	B	`conf`	Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization. Congress on Evolutionary Computation Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, Dumitru Dumitrescu