Smart City and information technology: A review A Camero, E Alba cities 93, 84-94, 2019 | 501 | 2019 |
Evolutionary deep learning for car park occupancy prediction in smart cities A Camero, J Toutouh, DH Stolfi, E Alba Learning and Intelligent Optimization: 12th International Conference, LION …, 2019 | 144 | 2019 |
Dynamicearthnet: Daily multi-spectral satellite dataset for semantic change segmentation A Toker, L Kondmann, M Weber, M Eisenberger, A Camero, J Hu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 81 | 2022 |
Random error sampling-based recurrent neural network architecture optimization A Camero, J Toutouh, E Alba Engineering Applications of Artificial Intelligence 96, 103946, 2020 | 47* | 2020 |
DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space L Kondmann, A Toker, M Rußwurm, A Camero, D Peressuti, G Milcinski, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 45 | 2021 |
MDAS: a new multimodal benchmark dataset for remote sensing J Hu, R Liu, D Hong, A Camero, J Yao, M Schneider, F Kurz, K Segl, ... Earth System Science Data 15 (1), 113-131, 2023 | 29 | 2023 |
Bayesian neural architecture search using a training-free performance metric A Camero, H Wang, E Alba, T Bäck Applied Soft Computing 106, 107356, 2021 | 25 | 2021 |
Low-cost recurrent neural network expected performance evaluation A Camero, J Toutouh, E Alba arXiv preprint arXiv:1805.07159, 2018 | 23 | 2018 |
Waste generation prediction in smart cities through deep neuroevolution A Camero, J Toutouh, J Ferrer, E Alba Smart Cities: First Ibero-American Congress, ICSC-CITIES 2018, Soria, Spain …, 2019 | 19 | 2019 |
Waste generation prediction under uncertainty in smart cities through deep neuroevolution A Camero, J Toutouh, J Ferrer, E Alba Revista Facultad de Ingeniería Universidad de Antioquia, 128-138, 2019 | 14 | 2019 |
Fitness landscape footprint: A framework to compare neural architecture search problems KR Traoré, A Camero, XX Zhu arXiv preprint arXiv:2111.01584, 2021 | 13* | 2021 |
JSDoop and TensorFlow. js: Volunteer Distributed Web Browser-Based Neural Network Training JÁ Morell, A Camero, E Alba IEEE Access 7, 158671 - 158684, 2019 | 13 | 2019 |
DLOPT: deep learning optimization library A Camero, J Toutouh, E Alba arXiv preprint arXiv:1807.03523, 2018 | 12 | 2018 |
Customer segmentation based on the electricity demand signature: The andalusian case A Camero, G Luque, Y Bravo, E Alba Energies 11 (7), 1788, 2018 | 10 | 2018 |
Road map partitioning for routing by using a micro steady state evolutionary algorithm A Camero, J Arellano-Verdejo, E Alba Engineering Applications of Artificial Intelligence 71, 155-165, 2018 | 9 | 2018 |
Comparing deep recurrent networks based on the mae random sampling, a first approach A Camero, J Toutouh, E Alba Advances in Artificial Intelligence: 18th Conference of the Spanish …, 2018 | 9 | 2018 |
DC4Flood: A deep clustering framework for rapid flood detection using Sentinel-1 SAR imagery KR Shahi, A Camero, J Eudaric, H Kreibich IEEE Geoscience and Remote Sensing Letters, 2024 | 4 | 2024 |
A data-driven approach to neural architecture search initialization KR Traoré, A Camero, XX Zhu Annals of Mathematics and Artificial Intelligence, 1-28, 2023 | 4 | 2023 |
Landscape of Neural Architecture Search across sensors: how much do they differ? KR Traoré, A Camero, XX Zhu ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 3 | 2022 |
Reliable and Fast Recurrent Neural Network Architecture Optimization A Camero, J Toutouh, E Alba XIX Conference of the Spanish Association for Artificial Intelligence, 219-220, 2021 | 2 | 2021 |