It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers

Author:

Bucur Ana-MariaORCID,Cosma AdrianORCID,Rosso PaoloORCID,Dinu Liviu P.ORCID

Publisher

Springer Nature Switzerland

Reference58 articles.

1. Alhuzali, H., Zhang, T., Ananiadou, S.: sign of depression via using frozen pre-trained models and random Predicting forest classifier. In: CLEF (Working Notes), pp. 888–896 (2021)

2. An, M., Wang, J., Li, S., Zhou, G.: Multimodal topic-enriched auxiliary learning for depression detection. In: Proc. of COLING, pp. 1078–1089 (2020)

3. Aragon, M.E., Lopez-Monroy, A.P., Gonzalez-Gurrola, L.C.G., Montes, M.: Detecting mental disorders in social media through emotional patterns-the case of anorexia and depression. In: IEEE Trans. Affect. Comput. (2021)

4. Baytas, I.M., Xiao, C., Zhang, X., Wang, F., Jain, A.K., Zhou, J.: Patient subtyping via time-aware lSTM networks. In: Proc. of SIGKDD. KDD ’17, Assoc. Comput. Mach, pp. 65–74 (2017)

5. Berry, N., Lobban, F., Belousov, M., Emsley, R., Nenadic, G., Bucci, S., et al.: # whywetweetmh: understanding why people use twitter to discuss mental health problems. JMIR 19(4), e6173 (2017)

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