Risk-Aware Particle Filtering for State Estimation in Recirculating Aquaculture Systems. - Juan Cardenas-Cartagena; Baltasar Beferull-Lozano; Mohamed Elnourani; Daniel Romero 004 (IEEECONF, 2022)

Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models. - Juan Cardenas-Cartagena; Mohamed Elnourani; Baltasar Beferull-Lozano (NLDL, 2022)

Forecasting Smog Clouds With Deep Learning. - Valentijn Oldenburg; Juan Cardenas-Cartagena; Matias Valdenegro-Toro (CoRR, 2024)

Upside-Down Reinforcement Learning for More Interpretable Optimal Control. - Juan Cardenas-Cartagena; Massimiliano Falzari; Marco Zullich; Matthia Sabatelli (ICAART (1), 2025)

Interpretable Function Approximation with Gaussian Processes in Value-Based Model-Free Reinforcement Learning. - Matthijs van der Lende; Matthia Sabatelli; Juan Cardenas-Cartagena (NLDL, 2025)

Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning. - Aleksandar Todorov; Juan Cardenas-Cartagena; Rafael Fernandes Cunha; Marco Zullich; Matthia Sabatelli (Trans. Mach. Learn. Res., 2025)