| Smart City and information technology: A review A Camero, E Alba cities 93, 84-94, 2019 | 634 | 2019 |
| Evolutionary deep learning for car park occupancy prediction in smart cities A Camero, J Toutouh, DH Stolfi, E Alba International conference on learning and intelligent optimization, 386-401, 2018 | 167 | 2018 |
| 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 | 157 | 2022 |
| 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 | 64 | 2023 |
| 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 | 64 | 2021 |
| Random error sampling-based recurrent neural network architecture optimization A Camero, J Toutouh, E Alba Engineering Applications of Artificial Intelligence 96, 103946, 2020 | 53* | 2020 |
| Bayesian neural architecture search using a training-free performance metric A Camero, H Wang, E Alba, T Bäck Applied Soft Computing 106, 107356, 2021 | 28 | 2021 |
| Waste generation prediction in smart cities through deep neuroevolution A Camero, J Toutouh, J Ferrer, E Alba Ibero-American Congress of Smart Cities, 192-204, 2018 | 27 | 2018 |
| Low-cost recurrent neural network expected performance evaluation A Camero, J Toutouh, E Alba arXiv preprint arXiv:1805.07159, 2018 | 27 | 2018 |
| 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 | 19 | 2019 |
| JSDoop and TensorFlow. js: Volunteer Distributed Web Browser-Based Neural Network Training JÁ Morell, A Camero, E Alba IEEE Access 7, 158671 - 158684, 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 |
| DLOPT: deep learning optimization library A Camero, J Toutouh, E Alba arXiv preprint arXiv:1807.03523, 2018 | 13 | 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 | 11 | 2018 |
| Comparing deep recurrent networks based on the mae random sampling, a first approach A Camero, J Toutouh, E Alba Conference of the Spanish Association for Artificial Intelligence, 24-33, 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 | 10 | 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 21, 1-5, 2024 | 9 | 2024 |
| An uncertainty-based objective function for hyperparameter optimization in Gaussian processes applied to expensive black-box problems P Lualdi, R Sturm, A Camero, T Siefkes Applied Soft Computing 154, 111325, 2024 | 7 | 2024 |
| A data-driven approach to neural architecture search initialization KR Traoré, A Camero, XX Zhu Annals of Mathematics and Artificial Intelligence 93 (3), 413-440, 2025 | 6 | 2025 |
| A satellite imagery-driven framework for rapid resource allocation in flood scenarios to enhance loss and damage fund effectiveness J Eudaric, H Kreibich, A Camero, K Rafiezadeh Shahi, S Martinis, XX Zhu Scientific Reports 14 (1), 19290, 2024 | 5 | 2024 |
