Using Evolutionary Algorithms to Find the Melody of a Musical Piece. - Enrique Alba 001; Andrés Camero (CAEPIA, 2016)

Tile map size optimization for real world routing by using differential evolution. - Andrés Camero; Javier Arellano-Verdejo; Christian Cintrano; Enrique Alba 001 (CEC, 2017)

Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CAEPIA, 2018)

Waste Generation Prediction in Smart Cities Through Deep Neuroevolution. - Andrés Camero; Jamal Toutouh; Javier Ferrer; Enrique Alba 001 (ICSC-Cities, 2018)

Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities. - Andrés Camero; Jamal Toutouh; Daniel H. Stolfi; Enrique Alba 001 (LION, 2018)

Low-Cost Recurrent Neural Network Expected Performance Evaluation. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CoRR, 2018)

DLOPT: Deep Learning Optimization Library. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CoRR, 2018)

Road map partitioning for routing by using a micro steady state evolutionary algorithm. - Andrés Camero; Javier Arellano-Verdejo; Enrique Alba 001 (Eng. Appl. Artif. Intell., 2018)

JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. - José Á. Morell; Andrés Camero; Enrique Alba 001 (IEEE Access, 2019)

A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CoRR, 2019)

Random error sampling-based recurrent neural network architecture optimization. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (Eng. Appl. Artif. Intell., 2020)

Compact Neural Architecture Search for Local Climate Zones Classification. - René Traoré; Andrés Camero; Xiaoxiang Zhu 001 (ESANN, 2021)

DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. - 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 001 (NeurIPS Datasets and Benchmarks, 2021)

Bayesian neural architecture search using a training-free performance metric. - Andrés Camero; Hao Wang 025; Enrique Alba 001; Thomas Bäck (Appl. Soft Comput., 2021)

Reliable and Fast Recurrent Neural Network Architecture Optimization. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CoRR, 2021)

Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS. - Kalifou René Traoré; Andrés Camero; Xiao Xiang Zhu 001 (CoRR, 2021)

Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems. - Kalifou René Traoré; Andrés Camero; Xiao Xiang Zhu 001 (CoRR, 2021)

A Data-driven Approach to Neural Architecture Search Initialization. - Kalifou René Traoré; Andrés Camero; Xiao Xiang Zhu 001 (CoRR, 2021)

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. - 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 001; et al. (CVPR, 2022)

Landscape of Neural Architecture Search across sensors: how much do they differ ? - Kalifou René Traoré; Andrés Camero; Xiao Xiang Zhu 001 (CoRR, 2022)

HPO: We won't get fooled again. - Kalifou René Traoré; Andrés Camero; Xiao Xiang Zhu 001 (CoRR, 2022)

We Won't Get Fooled Again: When Performance Metric Malfunction Affects the Landscape of Hyperparameter Optimization Problems. - Kalifou René Traoré; Andrés Camero; Xiao Xiang Zhu 001 (OLA, 2023)

Providing AI expertise as an infrastructure in academia. - Marie Piraud; Andrés Camero; Markus Götz; Stefan Kesselheim; Peter Steinbach; Tobias Weigel (Patterns, 2023)

Leveraging performance-based metadata for designing multi-objective NAS strategies for efficient models in Earth Observation. - Emre Demir; René Traoré; Andrés Camero (ESANN, 2024)

An uncertainty-based objective function for hyperparameter optimization in Gaussian processes applied to expensive black-box problems. - Pietro Lualdi; Ralf Sturm; Andrés Camero; Tjark Siefkes (Appl. Soft Comput., 2024)

DC4Flood: A Deep Clustering Framework for Rapid Flood Detection Using Sentinel-1 SAR Imagery. - Kasra Rafiezadeh Shahi; Andrés Camero; Jeremy Eudaric; Heidi Kreibich (IEEE Geosci. Remote. Sens. Lett., 2024)