Andrés Camero

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Neural Architecture

Parameter Optimization

Top Venues

Eng. Appl. Artif. Intell.

Appl. Soft Comput.

Publications

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 (2024)
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 (2024)
Marie Piraud, Andrés Camero, Markus Götz, Stefan Kesselheim, Peter Steinbach, Tobias Weigel
Providing AI expertise as an infrastructure in academia. Patterns 4 (8) (2023)
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)
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 (2022)
Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
HPO: We won't get fooled again. CoRR (2022)
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)
Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
Landscape of Neural Architecture Search across sensors: how much do they differ ? CoRR (2022)
Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems. CoRR (2021)
Andrés Camero, Jamal Toutouh, Enrique Alba
Reliable and Fast Recurrent Neural Network Architecture Optimization. CoRR (2021)
Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, 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)
Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
A Data-driven Approach to Neural Architecture Search Initialization. CoRR (2021)
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 (2021)
Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck
Bayesian neural architecture search using a training-free performance metric. Appl. Soft Comput. 106 (2021)
René Traoré, Andrés Camero, Xiaoxiang Zhu
Compact Neural Architecture Search for Local Climate Zones Classification. ESANN (2021)
Andrés Camero, Jamal Toutouh, Enrique Alba
Random error sampling-based recurrent neural network architecture optimization. Eng. Appl. Artif. Intell. 96 (2020)
Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck
Bayesian Neural Architecture Search using A Training-Free Performance Metric. CoRR (2020)
José Á. Morell, Andrés Camero, Enrique Alba
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. CoRR (2019)
José Á. Morell, Andrés Camero, Enrique Alba
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. IEEE Access 7 (2019)
Andrés Camero, Jamal Toutouh, Enrique Alba
A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. CoRR (2019)
Andrés Camero, Jamal Toutouh, Javier Ferrer, Enrique Alba
Waste Generation Prediction in Smart Cities Through Deep Neuroevolution. ICSC-Cities (2018)
Andrés Camero, Jamal Toutouh, Enrique Alba
Low-Cost Recurrent Neural Network Expected Performance Evaluation. CoRR (2018)
Andrés Camero, Jamal Toutouh, Enrique Alba
DLOPT: Deep Learning Optimization Library. CoRR (2018)
Andrés Camero, Jamal Toutouh, Enrique Alba
Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach. CAEPIA (2018)
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 (2018)
Andrés Camero, Jamal Toutouh, Daniel H. Stolfi, Enrique Alba
Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities. LION (2018)
Andrés Camero, Javier Arellano-Verdejo, Christian Cintrano, Enrique Alba
Tile map size optimization for real world routing by using differential evolution. CEC (2017)
Enrique Alba, Andrés Camero
Using Evolutionary Algorithms to Find the Melody of a Musical Piece. CAEPIA (2016)