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Andrés Camero
Andrés Camero
Department of EO Data Science, German Aerospace Center
Verified email at dlr.de - Homepage
Title
Cited by
Cited by
Year
Smart City and information technology: A review
A Camero, E Alba
cities 93, 84-94, 2019
4262019
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
1322019
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
462022
Random error sampling-based recurrent neural network architecture optimization
A Camero, J Toutouh, E Alba
Engineering Applications of Artificial Intelligence 96, 103946, 2020
43*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
372021
Bayesian neural architecture search using a training-free performance metric
A Camero, H Wang, E Alba, T Bäck
Applied Soft Computing 106, 107356, 2021
232021
Low-cost recurrent neural network expected performance evaluation
A Camero, J Toutouh, E Alba
arXiv preprint arXiv:1805.07159, 2018
222018
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
172023
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
142019
DLOPT: deep learning optimization library
A Camero, J Toutouh, E Alba
arXiv preprint arXiv:1807.03523, 2018
132018
Fitness landscape footprint: A framework to compare neural architecture search problems
KR Traoré, A Camero, XX Zhu
arXiv preprint arXiv:2111.01584, 2021
12*2021
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
122019
JSDoop and TensorFlow. js: Volunteer Distributed Web Browser-Based Neural Network Training
JÁ Morell, A Camero, E Alba
IEEE Access 7, 158671 - 158684, 2019
102019
Customer segmentation based on the electricity demand signature: The andalusian case
A Camero, G Luque, Y Bravo, E Alba
Energies 11 (7), 1788, 2018
102018
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
92018
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
72018
A data-driven approach to neural architecture search initialization
KR Traoré, A Camero, XX Zhu
Annals of Mathematics and Artificial Intelligence, 1-28, 2023
32023
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
32022
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
22021
Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS
KR Traore, A Camero, XX Zhu
arXiv preprint arXiv:2108.09126, 2021
22021
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