Andrés Camero

32 papers A* 1B 3Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deep Dive into OpenStreetMap Research Since its Inception (2008-2024): Contributors, Topics, and Future Trends. CoRR Yao Sun, Liqiu Meng, Andrés Camero, Stefan Auer, Xiao Xiang Zhu
2026	J	`jnl`	CoastXplain: Explainable, Unsupervised Time-Series Modeling of Coastline Changes. IEEE Access Chandrabali Karmakar, Arnab Bhowmik, Andrés Camero, Mihai Datcu
2025	J	`jnl`	A data-driven approach to neural architecture search initialization. Ann. Math. Artif. Intell. Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
2024	J	`jnl`	An uncertainty-based objective function for hyperparameter optimization in Gaussian processes applied to expensive black-box problems. Appl. Soft Comput. Pietro Lualdi, Ralf Sturm, Andrés Camero, Tjark Siefkes
2024	J	`jnl`	DC4Flood: A Deep Clustering Framework for Rapid Flood Detection Using Sentinel-1 SAR Imagery. IEEE Geosci. Remote. Sens. Lett. Kasra Rafiezadeh Shahi, Andrés Camero, Jeremy Eudaric, Heidi Kreibich
2024	B	`conf`	Leveraging performance-based metadata for designing multi-objective NAS strategies for efficient models in Earth Observation. ESANN Emre Demir, René Traoré, Andrés Camero
2023	J	`jnl`	Providing AI expertise as an infrastructure in academia. Patterns Marie Piraud, Andrés Camero, Markus Götz, Stefan Kesselheim, Peter Steinbach, Tobias Weigel
2023	—	`conf`	We Won't Get Fooled Again: When Performance Metric Malfunction Affects the Landscape of Hyperparameter Optimization Problems. OLA Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
2022	A*	`conf`	DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CVPR 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
2022	J	`jnl`	DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CoRR 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
2022	J	`jnl`	HPO: We won't get fooled again. CoRR Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
2022	J	`jnl`	Landscape of Neural Architecture Search across sensors: how much do they differ ? CoRR Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
2021	J	`jnl`	A Data-driven Approach to Neural Architecture Search Initialization. CoRR Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
2021	J	`jnl`	Bayesian neural architecture search using a training-free performance metric. Appl. Soft Comput. Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck
2021	B	`conf`	Compact Neural Architecture Search for Local Climate Zones Classification. ESANN René Traoré, Andrés Camero, Xiaoxiang Zhu
2021	—	`conf`	DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems. CoRR Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
2021	J	`jnl`	Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS. CoRR Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
2021	J	`jnl`	Reliable and Fast Recurrent Neural Network Architecture Optimization. CoRR Andrés Camero, Jamal Toutouh, Enrique Alba
2020	J	`jnl`	Bayesian Neural Architecture Search using A Training-Free Performance Metric. CoRR Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck
2020	J	`jnl`	Random error sampling-based recurrent neural network architecture optimization. Eng. Appl. Artif. Intell. Andrés Camero, Jamal Toutouh, Enrique Alba
2019	J	`jnl`	A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. CoRR Andrés Camero, Jamal Toutouh, Enrique Alba
2019	J	`jnl`	JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. IEEE Access José Á. Morell, Andrés Camero, Enrique Alba
2019	J	`jnl`	JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. CoRR José Á. Morell, Andrés Camero, Enrique Alba
2018	—	`conf`	Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach. CAEPIA Andrés Camero, Jamal Toutouh, Enrique Alba
2018	J	`jnl`	DLOPT: Deep Learning Optimization Library. CoRR Andrés Camero, Jamal Toutouh, Enrique Alba
2018	—	`conf`	Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities. LION Andrés Camero, Jamal Toutouh, Daniel H. Stolfi, Enrique Alba
2018	J	`jnl`	Low-Cost Recurrent Neural Network Expected Performance Evaluation. CoRR Andrés Camero, Jamal Toutouh, Enrique Alba
2018	J	`jnl`	Road map partitioning for routing by using a micro steady state evolutionary algorithm. Eng. Appl. Artif. Intell. Andrés Camero, Javier Arellano-Verdejo, Enrique Alba
2018	—	`conf`	Waste Generation Prediction in Smart Cities Through Deep Neuroevolution. ICSC-Cities Andrés Camero, Jamal Toutouh, Javier Ferrer, Enrique Alba
2017	B	`conf`	Tile map size optimization for real world routing by using differential evolution. CEC Andrés Camero, Javier Arellano-Verdejo, Christian Cintrano, Enrique Alba
2016	—	`conf`	Using Evolutionary Algorithms to Find the Melody of a Musical Piece. CAEPIA Enrique Alba, Andrés Camero