Eyben, F., Wollmer, M., & Schuller, B. (2010). Opensmile: The Munich Versatile and Fast Open-Source Audio Feature Extractor. In Proceedings of the 18th ACM International Conference on Multimedia (pp. 1459-1462). New York, NY: Association for Computing Machinery.
https://doi.org/10.1145/1873951.1874246

has been cited by the following article:

• TITLE: RETRACTED: Recognizing Student’s Learning-Centered Affective States in Conversation with Intelligent Multimodal Analytics

  AUTHORS: Shimeng Peng, Shigeki Ohira, Katashi Nagao

  KEYWORDS: Learning Analytics, Multimodal Analytics, Machine Learning, Heart Rate, Facial Expression, Audio Features

  JOURNAL NAME: Creative Education, Vol.11 No.9, September 18, 2020

  ABSTRACT: Short Retraction Notice The paper is withdrawn from "Creative Education" due to its indexing databases that don’t meet the author’s PhD examination. This article has been retracted to straighten the academic record. In making this decision the Editorial Board follows COPE's Retraction Guidelines. The aim is to promote the circulation of scientific research by offering an ideal research publication platform with due consideration of internationally accepted standards on publication ethics. The Editorial Board would like to extend its sincere apologies for any inconvenience this retraction may have caused. Editor guiding this retraction: Anita LIU (Editorial Assistant of CE) The full retraction notice in PDF is preceding the original paper, which is marked "RETRACTED".