Publicații

Carlos Cano-Domingo, Albert Jimenez-Ramos, Ruxandra Stoean, David Modesto, Evolutionary Optimization in Battery Parametrization for Synthetic Data Generation, 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), Elsevier, doi.org/10.1016/j.procs.2024.09.369.

Alexandru Ciobanu, Nebojsa Bacanin, Tilman Sanders, Catalin Stoean, Assessing Predictor Influence in LSTM Models for Enhanced Solar Energy Forecasting, 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2024), IEEE, doi.org/10.1109/SYNASC65383.2024.00062.

Carlos Cano-Domingo, Manuel Lopez-Ibanez, Ruxandra Stoean, Manuel Soler-Ortiz , Counter-Factual Hidden Event Detection: A Proof of Concept using Machine Learning in Time Series, 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2024), IEEE, doi.org/10.1109/SYNASC65383.2024.00053.

Carlos Cano-Domingo, Ruxandra Stoean, Gonzalo Joya, Nuria Novas, Manuel Fernandez Ros, Jose A. Gazquez Parra, A Hybrid Deep Learning Approach for Enhancing the Lorentzian Curve Fit Algorithm for Schumann Resonance, Expert Systems with Applications (Q1), Elsevier, Volume 293, 2025, doi.org/10.1016/j.eswa.2025.128681.

Carlos Cano-Domingo, Ruxandra Stoean, Manuel Soler-Ortiz, Nuria Novas, Manuel Fernández-Ros, Gonzalo Joya, Jose A. Gázquez Parra, Deep learning event detector from long-term signal variation for seismic activity warning out of Schumann resonance, Knowledge-Based Systems (Q1), Volume 328, 2025, doi.org/10.1016/j.knosys.2025.114166.

Carlos Cano Domingo, Manuel Soler-Ortiz, David Modesto, Anas Belfadil, Ruxandra Stoean, Joan Farnos, Understanding of Latent Spaces in a Battery Aging Prediction Model Through eXplainable AI. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. 18th International Work-Conference on Artificial Neural Networks (IWANN). Lecture Notes in Computer Science, vol 16009, pp 3–14. Springer, Cham, 2025, doi.org/10.1007/978-3-032-02728-3_1.

Alexandru-Adrian Ciobanu, Fereshteh Jafari, Joseph Moerschell, Ariana-Andra Șerpar, Nebojsa Bacanin, Catalin Stoean, Hybrid Regression Approach for Enhanced Solar Energy Estimation Using Sky Images. 29th International Conference on System Theory, Control and Computing (ICSTCC). IEEE, in press, 2025.

Alexandru-Adrian Ciobanu, Fereshteh Jafari, Joseph Moerschell, Ariana-Andra Șerpar, Nebojsa Bacanin, Catalin Stoean, Multi-View Sky Image Regression for Enhanced Photovoltaic Power Forecasting. Innovative Perspectives on Computational Intelligence and Data Science (InnoComp). Communications in Computer and Information Science, Springer, in press, 2025.

Myriam Cumbajin, Ruxandra Stoean, José Aguado, Gonzalo Joya, Improving PV Power Prediction Based on GRU and Meteorological Factors. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2025. Lecture Notes in Computer Science, vol 16009, pp 191–204. Springer, Cham, 2025, doi.org/10.1007/978-3-032-02728-3_16.

Alexandru-Adrian Ciobanu, Nebojsa Bacanin, Catalin Stoean, Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2025. Lecture Notes in Computer Science, vol 16009, pp 466–477. Springer, Cham, 2025, doi.org/10.1007/978-3-032-02728-3_37

Dejan Bulaja, Nebojsa Bacanin, Ruxandra Stoean, Branislav Radomirovic, Vico Zeljkovic, Miroslav Cajic, Luka Jovanovic, Battery State-of-Health Prediction using XGBoost Tuned by Modified Metaheuristics, 27th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), IEEE, in press, 2025.

Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Catalin Stoean, Tamara Zivkovic, Milos Antonijevic, Branislav Radomirovic, Applied Metaheuristic Hyperparameter Tuning: Machine Learning in Internet Of Things Cybersecurity, 27th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), IEEE, in press, 2025.

Ariana-Andra Şerpar, Ruxandra Stoean, Carlos Cano Domingo, Ann-Sophie Bülter, Ignacio Rojas Ruiz, Jens Pogorzelski, Peter Glösekötter, Symmetrical Current Flow Reconstruction for Sector-Shaped Multi-wire Cables Using Machine Learning. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2025. Lecture Notes in Computer Science, vol 16009, pp 429–443. Springer, Cham, 2025, doi.org/10.1007/978-3-032-02728-3_34.

Carlos Cano Domingo, David Modesto, Manuel Soler-Ortiz, Ruxandra Stoean, Joan Farnos, Overcoming Data Scarcity in Battery Research: An Integrated Expansion and Validation Method. submitted, 2025.