Identifying network structure similarity using spectral graph theory R Gera, L Alonso, B Crawford, J House, JA Mendez-Bermudez, T Knuth, ... Applied network science 3, 1-15, 2018 | 66 | 2018 |
Weighted random-geometric and random-rectangular graphs: Spectral and eigenfunction properties of the adjacency matrix L Alonso, JA Mendez-Bermudez, A Gonzalez-Melendrez, Y Moreno Journal of Complex Networks 6 (5), 753-766, 2018 | 22 | 2018 |
Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction V Benson, C Requena Mesa, C Robin, L Alonso, J Cortés, Z Gao, ... | 9 | 2023 |
Deep learning for global wildfire forecasting I Prapas, A Ahuja, S Kondylatos, I Karasante, E Panagiotou, L Alonso, ... arXiv preprint arXiv:2211.00534, 2022 | 9 | 2022 |
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs C Robin, C Requena-Mesa, V Benson, L Alonso, J Poehls, N Carvalhais, ... arXiv preprint arXiv:2210.13648, 2022 | 9 | 2022 |
Geometrical and spectral study of -skeleton graphs L Alonso, JA Méndez-Bermúdez, E Estrada Physical Review E 100 (6), 062309, 2019 | 9 | 2019 |
Joint probability distributions for projection probabilities of random orthonormal states L Alonso, T Gorin Journal of Physics A: Mathematical and Theoretical 49 (14), 145004, 2016 | 8 | 2016 |
Julia Data Science J Storopoli, R Huijzer, L Alonso | 4 | 2021 |
Perspectives for analyzing non-linear photo-ionization spectra with deep neural networks trained with synthetic Hamilton matrices SK Giri, L Alonso, U Saalmann, JM Rost Faraday Discussions 228, 502-518, 2021 | 3 | 2021 |
Multi-modal learning for geospatial vegetation forecasting V Benson, C Robin, C Requena-Mesa, L Alonso, N Carvalhais, J Cortés, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics I Karasante, L Alonso, I Prapas, A Ahuja, N Carvalhais, I Papoutsis arXiv preprint arXiv:2312.07199, 2023 | 2 | 2023 |
Toward robust parameterizations in ecosystem‐level photosynthesis models S Bao, L Alonso, S Wang, J Gensheimer, R De, N Carvalhais Journal of Advances in Modeling Earth Systems 15 (8), e2022MS003464, 2023 | 2 | 2023 |
Scattering approach to fidelity and fidelity recovery T Gorin, L Alonso, PC López Vázquez AIP Conference Proceedings 1579 (1), 11-20, 2014 | 2 | 2014 |
Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R Son, T Stacke, V Gayler, JEMS Nabel, R Schnur, L Alonso, ... Journal of Advances in Modeling Earth Systems 16 (1), e2023MS003710, 2024 | 1 | 2024 |
Eigenvalue determination for mixed quantum states using overlap statistics L Alonso, D Bermudez, T Gorin arXiv preprint arXiv:1808.00019, 2018 | 1 | 2018 |
SpectralIndices. jl: Streamlining spectral indices access and computation for Earth system research F Martinuzzi, MD Mahecha, D Montero, L Alonso, K Mora The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2024 | | 2024 |
Hybrid Modelling: Bridging Neural Networks and Physics-Based Approaches in Terrestrial Biogeochemical Ecosystems L Alonso, S Koirala, N Carvalhais, F Gans, B Ahrens, F Cremer, T Wutzler, ... EGU General Assembly Conference Abstracts, 16513, 2024 | | 2024 |
Downscaling Soil Moisture with Simple Machine Learning Ensembles J Poehls, L Alonso, S Koirala, N Carvalhais, M Reichstein EGU24, 2024 | | 2024 |
Analyzing Spatio-Temporal Machine Learning Models through Input Perturbation C Robin, V Benson, C Requena-Mesa, L Alonso, J Poehls, M Russwurm, ... EGU24, 2024 | | 2024 |
Downscaling Soil Moisture to Sub-km Resolutions with Simple Machine Learning Ensembles J Poehls, L Alonso, S Koirala, N Carvalhais, M Reichstein Available at SSRN 4743411, 2024 | | 2024 |