| High-resolution deep convolutional generative adversarial networks JD Curtó, IC Zarza, F De La Torre, I King, MR Lyu arXiv preprint arXiv:1711.06491, 2017 | 41 | 2017 |
| Semantic Scene Understanding with Large Language Models on Unmanned Aerial Vehicles J de Curtò, I de Zarzà, CT Calafate Drones 7 (2), 114, 2023 | 24 | 2023 |
| Detection of glaucoma using three-stage training with EfficientNet I de Zarzà, J de Curtò, CT Calafate Intelligent Systems with Applications, 200140, 2022 | 13 | 2022 |
| LLM Multimodal Traffic Accident Forecasting I de Zarzà, J de Curtò, G Roig, CT Calafate Sensors 23 (22), 9225, 2023 | 10 | 2023 |
| Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs I de Zarzà, J de Curtò, G Roig, P Manzoni, CT Calafate Electronics 12 (12), 2722, 2023 | 10 | 2023 |
| Summarization of Videos with the Signature Transform J de Curtò, I de Zarzà, G Roig, CT Calafate Electronics 12 (7), 1735, 2023 | 9 | 2023 |
| LLM Adaptive PID Control for B5G Truck Platooning Systems I de Zarzà, J de Curtò, G Roig, CT Calafate Sensors 23 (13), 5899, 2023 | 8 | 2023 |
| McKernel: A Library for Approximate Kernel Expansions in Log-linear Time JD Curtó, IC Zarza, F Yang, A Smola, F de la Torre, CW Ngo, L van Gool arXiv preprint arXiv:1702.08159, 2017 | 8 | 2017 |
| McKernel: A Library for Approximate Kernel Expansions in Log-linear Time J de Curtò, I de Zarzà, F Yang, A Smola, F de la Torre, CW Ngo, ... arXiv preprint arXiv:1702.08159, 2017 | 8 | 2017 |
| LLM-Informed Multi-Armed Bandit Strategies for Non-Stationary Environments J de Curtò, I de Zarzà, G Roig, JC Cano, P Manzoni, CT Calafate Electronics 12 (13), 2814, 2023 | 7 | 2023 |
| UWB and MB-OFDM for Lunar Rover Navigation and Communication J de Curtò, I de Zarzà, CT Calafate Mathematics 11 (18), 3835, 2023 | 6 | 2023 |
| Optimized Financial Planning: Integrating Individual and Cooperative Budgeting Models with LLM Recommendations I de Zarzà, J de Curtò, G Roig, CT Calafate AI 5 (1), 91-114, 2023 | 5 | 2023 |
| On the applicability of the Hadamard as an input modulator for problems of classification J de Curtò, I de Zarzà, H Yan, CT Calafate Software Impacts, 100325, 2022 | 5 | 2022 |
| Signature and log-signature for the study of empirical distributions generated with GANs J de Curtò, I de Zarzà, G Roig, CT Calafate Electronics 12 (10), 2192, 2023 | 4 | 2023 |
| Doctor of Crosswise: Reducing Over-parametrization in Neural Networks JD Curtó, IC Zarza, K Kitani, I King, MR Lyu arXiv preprint arXiv:1905.10324, 2019 | 4 | 2019 |
| Segmentation of Objects by Hashing JD Curtó, IC Zarza, A Smola, L van Gool arXiv preprint arXiv:1702.08160, 2017 | 4 | 2017 |
| Cascading and Ensemble Techniques in Deep Learning I de Zarzà, J de Curtò, E Hernández-Orallo, CT Calafate Electronics 12 (15), 3354, 2023 | 3 | 2023 |
| Decentralized Planning of Platoons in Road Transport using Reinforcement Learning I De Zarza, J De Curto, CT Calafate 2023 IEEE 43rd International Conference on Distributed Computing Systems …, 2023 | 3 | 2023 |
| Socratic Video Understanding on Unmanned Aerial Vehicles I de Zarzà, J de Curtò, CT Calafate Procedia Computer Science 225, 144-154, 2023 | 3 | 2023 |
| Adaptive Truck Platooning with Drones: A Decentralized Approach for Highway Monitoring J de Curtò, I de Zarzà, JC Cano, P Manzoni, CT Calafate Electronics 12 (24), 4913, 2023 | 2 | 2023 |
Prof. Dr. J. de Curtò y DíazBARCELONA Supercomputing Center; Universidad Pontificia Comillas; GOETHE-University / UOCVerified email at bsc.es
