Research Scientist at the IAA-CSIC.
Research Interests
Machine learning, deep learning, data pre-processing, astroinformatics.
Publications
- M. Jiménez, M. Torres Torres, R. John, I. Triguero. Galaxy image classification based on citizen science data: A comparative study. IEEE Access 8, 47232–47246, 2020. Impact Factor: 3.745 (JCR 2019). DOI: 10.1109/ACCESS.2020.2978804
- M. Jiménez, M. Torres Torres, R. John, I. Triguero. A preliminary approach for the exploitation of citizen science data for fast and robust fuzzy k-nearest neighbour classi- fication. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). New Orleans (USA), June 23–26, 2019. DOI: 10.1109/FUZZ-IEEE.2019.8858830
- M. Jiménez, I. Triguero, R. John. Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification. Information Sciences 479, 301–320, 2019. Impact Factor: 5.910 (JCR 2019). DOI: 10.1016/j.ins.2018.12.011
- M. Jiménez, I. Triguero, R. John. A first approach for handling uncertainty in citizen science. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Rio de Janeiro (Brazil), July 8–13, 2018. Nominated for the best conference paper award. DOI: 10.1109/FUZZ-IEEE.2018.8491451