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Andrés Camero
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2020 – today
- 2024
- [j7]Pietro Lualdi, Ralf Sturm, Andrés Camero, Tjark Siefkes:
An uncertainty-based objective function for hyperparameter optimization in Gaussian processes applied to expensive black-box problems. Appl. Soft Comput. 154: 111325 (2024) - [j6]Kasra Rafiezadeh Shahi, Andrés Camero, Jeremy Eudaric, Heidi Kreibich:
DC4Flood: A Deep Clustering Framework for Rapid Flood Detection Using Sentinel-1 SAR Imagery. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - 2023
- [j5]Marie Piraud, Andrés Camero, Markus Götz, Stefan Kesselheim, Peter Steinbach, Tobias Weigel:
Providing AI expertise as an infrastructure in academia. Patterns 4(8): 100819 (2023) - [c9]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
We Won't Get Fooled Again: When Performance Metric Malfunction Affects the Landscape of Hyperparameter Optimization Problems. OLA 2023: 148-160 - 2022
- [c8]Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé:
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CVPR 2022: 21126-21135 - [i12]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Landscape of Neural Architecture Search across sensors: how much do they differ ? CoRR abs/2201.06321 (2022) - [i11]Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé:
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CoRR abs/2203.12560 (2022) - [i10]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
HPO: We won't get fooled again. CoRR abs/2208.03320 (2022) - 2021
- [j4]Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck:
Bayesian neural architecture search using a training-free performance metric. Appl. Soft Comput. 106: 107356 (2021) - [c7]René Traoré, Andrés Camero, Xiaoxiang Zhu:
Compact Neural Architecture Search for Local Climate Zones Classification. ESANN 2021 - [c6]Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressutti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiaoxiang Zhu:
DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. NeurIPS Datasets and Benchmarks 2021 - [i9]Andrés Camero, Jamal Toutouh, Enrique Alba:
Reliable and Fast Recurrent Neural Network Architecture Optimization. CoRR abs/2106.15295 (2021) - [i8]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS. CoRR abs/2108.09126 (2021) - [i7]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems. CoRR abs/2111.01584 (2021) - [i6]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
A Data-driven Approach to Neural Architecture Search Initialization. CoRR abs/2111.03524 (2021) - 2020
- [j3]Andrés Camero, Jamal Toutouh, Enrique Alba:
Random error sampling-based recurrent neural network architecture optimization. Eng. Appl. Artif. Intell. 96: 103946 (2020) - [i5]Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck:
Bayesian Neural Architecture Search using A Training-Free Performance Metric. CoRR abs/2001.10726 (2020)
2010 – 2019
- 2019
- [j2]José Á. Morell, Andrés Camero, Enrique Alba:
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. IEEE Access 7: 158671-158684 (2019) - [i4]Andrés Camero, Jamal Toutouh, Enrique Alba:
A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. CoRR abs/1909.02425 (2019) - [i3]José Á. Morell, Andrés Camero, Enrique Alba:
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. CoRR abs/1910.07402 (2019) - 2018
- [j1]Andrés Camero, Javier Arellano-Verdejo, Enrique Alba:
Road map partitioning for routing by using a micro steady state evolutionary algorithm. Eng. Appl. Artif. Intell. 71: 155-165 (2018) - [c5]Andrés Camero, Jamal Toutouh, Enrique Alba:
Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach. CAEPIA 2018: 24-33 - [c4]Andrés Camero, Jamal Toutouh, Javier Ferrer, Enrique Alba:
Waste Generation Prediction in Smart Cities Through Deep Neuroevolution. ICSC-Cities 2018: 192-204 - [c3]Andrés Camero, Jamal Toutouh, Daniel H. Stolfi, Enrique Alba:
Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities. LION 2018: 386-401 - [i2]Andrés Camero, Jamal Toutouh, Enrique Alba:
Low-Cost Recurrent Neural Network Expected Performance Evaluation. CoRR abs/1805.07159 (2018) - [i1]Andrés Camero, Jamal Toutouh, Enrique Alba:
DLOPT: Deep Learning Optimization Library. CoRR abs/1807.03523 (2018) - 2017
- [c2]Andrés Camero, Javier Arellano-Verdejo, Christian Cintrano, Enrique Alba:
Tile map size optimization for real world routing by using differential evolution. CEC 2017: 1482-1488 - 2016
- [c1]Enrique Alba, Andrés Camero:
Using Evolutionary Algorithms to Find the Melody of a Musical Piece. CAEPIA 2016: 321-330
Coauthor Index
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