Forecasting Nonlinear Systems with LSTM: Analysis and Comparison with EKF. - Juan Pedro Llerena; Jesús García Herrero; José Manuel Molina López (Sensors, 2021)

Error reduction in autonomous multirotor vision-based landing system with helipad context. - Juan Pedro Llerena; Jesús García Herrero; José Manuel Molina López (FUSION, 2022)

An approach to forecasting and filtering noise in dynamic systems using LSTM architectures. - Juan Pedro Llerena; Jesús García Herrero; José Manuel Molina López (Neurocomputing, 2022)

Error Reduction in Vision-Based Multirotor Landing System. - Juan Pedro Llerena; Jesús García Herrero; José Manuel Molina López (Sensors, 2022)

UAV airframe classification based on trajectory data in UTM collaborative environments. - David Sánchez Pedroche; Daniel Amigo 001; Jesús García 001; José Manuel Molina López; Juan Pedro Llerena (FUSION, 2023)

High Definition Mapping for Inland Waterways: Techniques, Challenges and Prospects. - Lukas Hösch; Alonso Llorente; Xiangdong An 005; Juan Pedro Llerena; Daniel Medina (ITSC, 2023)

Tuning Process Noise in INS/GNSS Fusion for Drone Navigation Based on Evolutionary Algorithms. - Juan Pedro Llerena; Jesús García 001; José Manuel Molina 001; Daniel Arias (SOCO (2), 2023)

LSTM vs CNN in real ship trajectory classification. - Juan Pedro Llerena; Jesús García 001; José Manuel Molina 001 (Log. J. IGPL, 2024)

Vanishing mask refinement in semi-supervised video object segmentation. - Javier Pita; Juan Pedro Llerena; Miguel A. Patricio; Antonio Berlanga; Luis Usero (Appl. Soft Comput., 2025)

Advances in instance segmentation: Technologies, metrics and applications in computer vision. - José Manuel Molina 001; Juan Pedro Llerena; Luis Usero; Miguel A. Patricio (Neurocomputing, 2025)