| 2025 | IWANN | Improving PV Power Prediction Based on GRU and Meteorological Factors. | Myriam Cumbajn, Ruxandra Stoean, Jos A. Aguado, Gonzalo Joya |
| 2025 | IWANN | Understanding of Latent Spaces in a Battery Aging Prediction Model Through eXplainable AI. | Carlos Cano Domingo, Manuel Soler-Ortiz, David Modesto, Anas Belfadil, Ruxandra Stoean, Joan Farns |
| 2025 | IWANN | Symmetrical Current Flow Reconstruction for Sector-Shaped Multi-wire Cables Using Machine Learning. | Ariana-Andra Serpar, Ruxandra Stoean, Carlos Cano Domingo, Ann-Sophie Blter, Ignacio Rojas Ruiz, Jens Pogorzelski, Peter Glsektter |
| 2025 | SYNASC | Battery State-of-Health Prediction Using XGBoost Tuned by Modified Metaheuristics. | Dejan Bulaja, Nebojsa Bacanin, Ruxandra Stoean, Branislav Radomirovic, Vico Zeljkovic, Miroslav Cajic, Luka Jovanovic |
| 2024 | KES | Evolutionary Optimization in Battery Parametrization for Synthetic Data Generation. | Carlos Cano Domingo, Albert Jimnez-Ramos, Ruxandra Stoean, David Modesto |
| 2024 | SYNASC | The NLP for Employee Review Sentiment Analysis: An Explainable Perspective. | Lepa Babic, Ruxandra Stoean, Jelena Cadjenovic, Luka Jovanovic, Miodrag Zivkovic, Nebojsa Bacanin |
| 2024 | SYNASC | Counter-Factual Hidden Event Detection: A Proof of Concept Using Machine Learning in Time Series. | Carlos Cano Domingo, Manuel Lpez-Ibez, Ruxandra Stoean, Manuel Soler-Ortiz |
| 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 | 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 | 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 | 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 | Semantic Segmentation for Corrosion Detection in Archaeological Artefacts before Restoration. | Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu |
| 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 | ESANN | Bioinformatics and medicine in the era of deep learning. | Davide Bacciu, Paulo Lisboa, Jos D. Martn, Ruxandra Stoean, Alfredo Vellido |
| 2018 | ESANN | Non-negative Matrix Factorization for Medical Imaging. | Miguel A. Atencia Ruiz, Ruxandra Stoean |
| 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 |
| 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 |