other · Zenodo (CERN European Organization for Nuclear Research) · 2021

Beta release of python library NEmo

Liu, Yang, Zhang, Tianyi

Cited by 0Open access

Abstract

Neural network for Emotion detection, in short as NEmo, is a python library designed to implement Bayesian deep learning algorisms to emotion database for human emotion detection. It offers an easy construction of two types of deep neural network to incorporate the eletronic signal from sensor and predict human emotion, like valance and arousal.

Cite this paper

APA 7

Liu, Y., & Zhang, T. (2021). Beta release of python library NEmo. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.4494121

MLA 9

Liu, Yang, and Tianyi Zhang. “Beta release of python library NEmo.” Zenodo (CERN European Organization for Nuclear Research), 2021, https://doi.org/10.5281/zenodo.4494121.

Chicago

Liu, Yang, and Tianyi Zhang. 2021. “Beta release of python library NEmo.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.4494121.

Harvard

Liu, Y. and Zhang, T. (2021) ‘Beta release of python library NEmo’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.4494121.

BibTeX

@misc{liu2021beta,
  title = {{Beta release of python library NEmo}},
  author = {Liu, Yang and Zhang, Tianyi},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year = {2021},
  doi = {10.5281/zenodo.4494121}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.