T. Aaron and . Beck, Depression : Causes and Treatment, 1972.

S. Cholet, Evaluation automatique des états émotionnels et dépressifs : vers un système de prévention des risques psychosociaux, 2019.

S. Cholet, H. Paugam-moisy, and S. Regis, Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study, 2019 International Joint Conference on Neural Networks (IJCNN), pp.1-6, 2019.

S. Grossberg, Competitive learning : From interactive activation to adaptive resonance, Cognitive Science, vol.11, pp.23-63, 1987.

R. Plutchik, The Nature of Emotions plutchiknatureofemotions, American Science, vol.89, pp.344-350, 2001.

M. Senoussaoui, M. Sarria-paja, J. F. Santos, and T. H. Falk, Model Fusion for Multimodal Depression Classification and Level Detection, Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge -AVEC'14, pp.57-63, 2014.

M. Valstar, B. Schuller, K. Smith, T. Almaev, F. Eyben et al., Avec 2014 : 3d dimensional affect and depression recognition challenge, Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge -AVEC '14. ACM, pp.3-10, 2014.

J. R. Williamson, T. F. Quatieri, B. S. Helfer, G. Ciccarelli, and D. D. Mehta, Vocal and Facial Biomarkers of Depression based on Motor Incoordination and Timing, Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge -AVEC'14, pp.65-72, 2014.