| SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs S Carrasco, DF Llorca, MÁ Sotelo 2021 IEEE Intelligent Vehicles Symposium (IV), 2021 | 55 | 2021 |
| The (de) biasing effect of gan-based augmentation methods on skin lesion images A Mikołajczyk, S Majchrowska, S Carrasco Limeros International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 7 | 2022 |
| Towards explainable motion prediction using heterogeneous graph representations SC Limeros, S Majchrowska, J Johnander, C Petersson, DF Llorca Transportation Research Part C: Emerging Technologies 157, 104405, 2023 | 6 | 2023 |
| Towards trustworthy multi‐modal motion prediction: Holistic evaluation and interpretability of outputs S Carrasco Limeros, S Majchrowska, J Johnander, C Petersson, ... CAAI Transactions on Intelligence Technology, 2023 | 6 | 2023 |
| GAN-based generative modelling for dermatological applications--comparative study SC Limeros, S Majchrowska, MK Zoubi, A Rosén, J Suvilehto, L Sjöblom, ... arXiv preprint arXiv:2208.11702, 2022 | 6 | 2022 |
| Urban Intersection Classification: A Comparative Analysis IGDMÁS Augusto Luis Ballardini , Álvaro Hernández Saz, Sandra Carrasco ... Sensors 21 (18), 2021 | 5 | 2021 |
| Assessing GAN-Based Generative Modeling on Skin Lesions Images S Carrasco Limeros, S Majchrowska, MK Zoubi, A Rosén, J Suvilehto, ... Machine Intelligence and Digital Interaction Conference, 93-102, 2022 | 4 | 2022 |
| Towards trustworthy multi-modal motion prediction: Evaluation and interpretability SC Limeros, S Majchrowska, J Johnander, C Petersson, MÁ Sotelo, ... Available at SSRN 4255360, 2022 | 2 | 2022 |
| Towards trustworthy and explainable graph-based approaches for multi-modal motion prediction S Carrasco Limeros | | 2023 |
| GAN-based generative modelling for dermatological applications--comparative study S Carrasco Limeros, S Majchrowska, M Khir Zoubi, A Rosén, J Suvilehto, ... arXiv e-prints, arXiv: 2208.11702, 2022 | | 2022 |
| Driver Monitoring System for Intelligent Vehicles S Carrasco Limeros Universidad de Alcalá, 2020 | | 2020 |
| D4. 4 Model for the prediction of VRUs intentions C Salinas | | 2020 |
| D4. 3 Model for the prediction of vehicles intentions CS Carrasco | | 2020 |
| D3. 3 Driver Monitoring Concept Report S Carrasco | | 2020 |
| Assessment of the effectiveness of Vehicles and VRUs prediction of intentions http://www.brave-project.eu/wp-content/uploads/2021/01/BRAVE-D4.6-v1.0.pdf, 2020 | | 2020 |
| Naturalistic driving study for older drivers based on the DriveSafe app LM Bergasa Pascual, J Araluce Ruiz, E Romera Carmena, ... IEEE, 2019 | | 2019 |
| Navegación de robots móviles en entorno Matlab-ROS S Carrasco Limeros | | 2019 |
