Andreas Knoblauch. Adapting Loss Functions to Learning Progress Improves Accuracy of Classification in Neural Networks. In Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco 0001, Zbigniew W. Ras, editors, Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings. Volume 13515 of Lecture Notes in Computer Science, pages 272-282, Springer, 2022. [doi]
@inproceedings{Knoblauch22-2,
title = {Adapting Loss Functions to Learning Progress Improves Accuracy of Classification in Neural Networks},
author = {Andreas Knoblauch},
year = {2022},
doi = {10.1007/978-3-031-16564-1_26},
url = {https://doi.org/10.1007/978-3-031-16564-1_26},
researchr = {https://researchr.org/publication/Knoblauch22-2},
cites = {0},
citedby = {0},
pages = {272-282},
booktitle = {Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings},
editor = {Michelangelo Ceci and Sergio Flesca and Elio Masciari and Giuseppe Manco 0001 and Zbigniew W. Ras},
volume = {13515},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-16564-1},
}