Calculated based on number of publications stored in Pure and citations from Scopus
1997 …2024

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  • 2019

    Automated classification of classroom climate by audio analysis

    James, A., Chua, Y. H. V., Maszczyk, T., Núñez, A. M., Bull, R., Lee, K. & Dauwels, J., 2019, 9th International Workshop on Spoken Dialogue System Technology: IWSDS 2018. D’Haro, L. F., Banchs, R. E. & Li, H. (eds.). Singapore: Springer, p. 41-49 9 p. (Lecture Notes in Electrical Engineering; vol. 579).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    13 Citations (Scopus)
  • Inferring the climate in classrooms from audio and video recordings: a machine learning approach

    James, A., Kashyap, M., Chua, Y. H. V., Maszczyk, T., Nunez, A. M., Bull, R. & Dauwels, J., 16 Jan 2019, TALE 2018: Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering. Lee, M. J. W., Nikolic, S., Ros, M., Shen, J., Lei, L. C. U., Wong, G. K. W. & Venkatarayalu, N. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 983-988 6 p. 8615327. (IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    14 Citations (Scopus)