APA (7th ed.) Citation

Jaques, N., Taylor, S., Sano, A., & Picard, R. (2017, October). Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction. International Conference on Affective Computing and Intelligent Interaction and workshops, 202-208. https://doi.org/10.1109/ACII.2017.8273601

Chicago Style (17th ed.) Citation

Jaques, Natasha, Sara Taylor, Akane Sano, and Rosalind Picard. "Multimodal Autoencoder: A Deep Learning Approach to Filling in Missing Sensor Data and Enabling Better Mood Prediction." International Conference on Affective Computing and Intelligent Interaction and Workshops Oct. 2017: 202-208. https://doi.org/10.1109/ACII.2017.8273601.

MLA (9th ed.) Citation

Jaques, Natasha, et al. "Multimodal Autoencoder: A Deep Learning Approach to Filling in Missing Sensor Data and Enabling Better Mood Prediction." International Conference on Affective Computing and Intelligent Interaction and Workshops, Oct. 2017, pp. 202-208, https://doi.org/10.1109/ACII.2017.8273601.