| 2025 | IWANN | Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data. | Alexandru-Adrian Ciobanu, Nebojsa Bacanin, Catalin Stoean |
| 2025 | IWANN | Generative AI for Contextualizing Bronze Age Objects in Historical Scenes. | Mircea-Andrei Radu, Ionut-Cristian Calinescu, Nebojsa Bacanin, Leonard Ionescu, Lucian Popescu-Vava, Catalin Stoean |
| 2025 | SYNASC | Applied Metaheuristic Hyperparameter Tuning: Machine Learning in Internet of Things Cybersecurity. | Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Catalin Stoean, Tamara Zivkovic, Milos Antonijevic, Branislav Radomirovic |
| 2024 | SYNASC | 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 |
| 2024 | SYNASC | Assessing Predictor Influence in LSTM Models for Enhanced Solar Energy Forecasting. | Alexandru-Adrian Ciobanu, Nebojsa Bacanin, Tilman Sanders, Catalin Stoean |
| 2023 | IWANN | Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. | Ruxandra Stoean, Patricio Garca Bez, Carmen Paz Surez Araujo, Nebojsa Bacanin, Miguel A. Atencia Ruiz, Catalin Stoean |
| 2023 | IWANN | Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. | Catalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean |
| 2023 | SYNASC | Solar Flare Classification using Modified Metaheuristic Optimized XGBoost. | Branislav Radomirovic, Luka Jovanovic, Catalin Stoean, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin |
| 2023 | SYNASC | 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 |
| 2022 | KES | COVID-19 antibody level analysis with feature selection approach. | Wieslaw Paja, Krzysztof Pancerz, Catalin Stoean |
| 2022 | KES | 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 |
| 2022 | KES | Semantic segmentation of fetal heart components in second trimester echocardiography. | Catalin Stoean, Nebojsa Bacanin, Wieslaw Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru, Rodica Nagy |
| 2022 | LREC | 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 |
| 2022 | SYNASC | 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 |
| 2021 | IWANN | 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 |
| 2021 | IWANN | 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 |
| 2021 | KES | 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 |
| 2021 | SYNASC | Sentiment Analysis from Stock Market News in Romanian using Chaos Game Representation. | Catalin Stoean, Daniel Lichtblau |
| 2021 | SYNASC | 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 |
| 2019 | IWANN | Dynamic Clustering of Time Series with Echo State Networks. | Miguel A. Atencia Ruiz, Catalin Stoean, Ruxandra Stoean, Roberto Rodrguez-Labrada, Gonzalo Joya |
| 2019 | IWANN | 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-Garca, Rodolfo Garca-Bermdez, Miguel A. Atencia Ruiz, Francisco Garca-Lagos, Lus Velzquez Prez, Gonzalo Joya |
| 2019 | IWANN | 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 |
| 2018 | SYNASC | Deep Learning for Metal Corrosion Control: Can Convolutional Neural Networks Measure Inhibitor Efficiency? | Ruxandra Stoean, Catalin Stoean, Adriana Samide |
| 2017 | IWANN | Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images. | Stefan Postavaru, Ruxandra Stoean, Catalin Stoean, Gonzalo Joya Caparrs |
| 2017 | SYNASC | Classifier Result Aggregation for Automatically Grading Histopathological Images. | Catalin Stoean, Daniel Lichtblau |
| 2016 | SYNASC | In Search of the Optimal Set of Indicators when Classifying Histopathological Images. | Catalin Stoean |
| 2015 | GECCO | Evolutionary Search for An Accurate Contour Segmentation in Histopathological Images. | Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia, Daniela Ciobanu |
| 2015 | IWANN | Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer. | Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina |
| 2015 | SYNASC | 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 |
| 2014 | SYNASC | Investigation of Alternative Evolutionary Prototype Generation in Medical Classification. | Catalin Stoean, Ruxandra Stoean, Adrian Sandita |
| 2013 | GECCO | EA-based parameter tuning of multimodal optimization performance by means of different surrogate models. | Catalin Stoean, Mike Preuss, Ruxandra Stoean |
| 2011 | GECCO | Niching foundations: basin identification on fixed-property generated landscapes. | Mike Preuss, Catalin Stoean, Ruxandra Stoean |
| 2008 | PPSN | EA-Powered Basin Number Estimation by Means of Preservation and Exploration. | Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu |
| 2008 | SYNASC | Investigating Landscape Topology for Subpopulation Differentiation in Genetic Chromodynamics. | Ruxandra Stoean, Catalin Stoean, D. Dumitrescu |
| 2007 | CEC | Concerning the potential of evolutionary support vector machines. | Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumitru Dumitrescu |
| 2007 | GECCO | Disburdening the species conservation evolutionary algorithm of arguing with radii. | Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu |
| 2006 | SYNASC | Evolutionary Support Vector Regression Machines. | Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, Catalin Stoean |
| 2006 | SYNASC | Cooperative Evolution of Rules for Classification. | Catalin Stoean, Mike Preuss, Dumitru Dumitrescu, Ruxandra Stoean |
| 2005 | CEC | Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization. | Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, Dumitru Dumitrescu |