Publications on Bipolar DB

Below, you can find a list of papers and challenge validation & test set performances of those that report performance on the test set. If you will cite the dataset, please use the following paper:

E. Çiftçi, H. Kaya, H. Güleç, and A. A. Salah, "The Turkish audio-visual bipolar disorder corpus," in ACII Asia. IEEE, 2018, pp. 1–6. [paper]

1. P. Baki, H. Kaya, E. Çiftçi, H. Güleç, and A. A. Salah, "A Multimodal Approach for Mania Level Prediction in Bipolar Disorder", IEEE Transactions on Affective Computing, 2022. [paper]

2. S. Cao, H. Yan, P. Rao, K. Zhao, X. Yu, J. He, L. Yu, and Y. Xiao, "Bipolar Disorder Classification based on Multimodal Recordings," In Proc. ICCPR 2021, pp. 188–194. [paper]

3. N. AbaeiKoupaei and H. Al Osman, "A multi-modal stacked ensemble model for bipolar disorder classification," IEEE Transactions on Affective Computing, 2020. [paper]

4. N. AbaeiKoupaei and H. Al Osman, “A hybrid model for bipolar disorder classification from visual information," in Proc. ICASSP, 2020, pp. 4107–4111. [paper]

5. Z. Zhang, W. Lin, M. Liu, and M. Mahmoud, "Multimodal Deep Learning Framework for Mental Disorder Recognition," 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020, pp. 344-350. [paper]

6. Z. Ren, J. Han, N. Cummins, Q. Kong, M. D. Plumbley, and B. W. Schuller, "Multi-instance learning for bipolar disorder diagnosis using weakly labelled speech data," in Proc. 9th Int. Conf. on Digital Public Health, 2019, pp. 79–83. [paper]

7. S. Amiriparian, A. Awad, M. Gerczuk, L. Stappen, A. Baird, S. Ottl, and B. Schuller, "Audio-based recognition of bipolar disorder utilising capsule networks," in Proc. IJCNN, July 2019, pp. 1–7. [paper]

8. M. Ebrahim, M. Al-Ayyoub, and M. Alsmirat, "Determine bipolar disorder level from patient interviews using Bi-LSTM and feature fusion," in Proc. SNAMS. IEEE, 2018, pp. 182–189. [paper]

9. Z. S. Syed, K. Sidorov, and D. Marshall, "Automated screening for bipolar disorder from audio/visual modalities," in Proc. AVEC, 2018, pp. 39–45. [paper]

10. X. Xing, B. Cai, Y. Zhao, S. Li, Z. He, and W. Fan, "Multi-modality hierarchical recall based on GBDTs for bipolar disorder classification," in Proc. AVEC, 2018, pp. 31–37. [paper]

11. L. Yang, Y. Li, H. Chen, D. Jiang, M. C. Oveneke, and H. Sahli, "Bipolar disorder recognition with histogram features of arousal and body gestures," in Proc. AVEC, 2018, pp. 15–21. [paper]

12. F. Ringeval, B. Schuller, M. Valstar, R. Cowie, H. Kaya, M. Schmitt, S. Amiriparian, N. Cummins, D. Lalanne, A. Michaud et al., "AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition," in Proc. AVEC, 2018, pp. 3–13. [AVEC challenge baseline paper, scripts]