Miriam Fdez-Díaz

ORCID: 0000-0003-0240-9849
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About
Contact & Profiles
Research Areas
  • Domain Adaptation and Few-Shot Learning
  • Thermography and Photoacoustic Techniques
  • Nuclear Physics and Applications
  • Machine Learning and ELM
  • Infrared Target Detection Methodologies
  • Machine Learning and Algorithms
  • Gaussian Processes and Bayesian Inference
  • Text and Document Classification Technologies
  • Vehicle Routing Optimization Methods
  • Multi-Criteria Decision Making
  • Data Mining Algorithms and Applications
  • Infrastructure Maintenance and Monitoring
  • Rough Sets and Fuzzy Logic

ArcelorMittal (Spain)
2021-2023

Universidad de Oviedo
2020

This research arises from the need to predict amount of air pollutants in meteorological stations. Air pollution depends on location stations (weather conditions and activities surroundings). Frequently, surrounding information is not considered learning process. known beforehand absence unobserved weather remains constant for same station. Considering as side facilitates generalization predicting new stations, leading a zero-shot regression scenario. Available methods typically lean towards...

10.1016/j.ins.2022.03.075 article EN cc-by-nc-nd Information Sciences 2022-03-28
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