Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 4 SI
Page No. 3837 - 3840

Location-Based Depression Analysis among the Various Cities of India

Authors : Kashaf Khan, Shailja Agarwal, Vijay Singh and Bhasker Pant

References

Breiman, L., 2001. Random forests. Mach. Learn., 45: 5-32.
Direct Link  |  

De Choudhury, M., 2014. Can social media help us reason about mental health?. Proceedings of the 23rd International Conference on World Wide Web, April 07-11, 2014, ACM, Seoul, Korea, ISBN:978-1-4503-2745-9, pp: 1243-1244.

Dibeklioglu, H., Z. Hammal, Y. Yang and J.F. Cohn, 2015. Multimodal detection of depression in clinical interviews. Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, November 09-13, 2015, ACM, Seattle, Washington, USA., ISBN:978-1-4503-3912-4, pp: 307-310.

Epps, J., 2014. Automatic assessment of depression from speech and behavioural signals. Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge, November 7, 2014, ACM, Orlando, Florida, USA., ISBN:978-1-4503-3119-7, pp: 1-1.

Gulhane, Y.H., S.V. Rode and S.A. Ladhake, 2011. Application of fuzzy logic in stress analysis. Proceedings of the International Conference and Workshop on Emerging Trends in Technology, February 25-26, 2011, ACM, Mumbai, India, ISBN:978-1-4503-0449-8, pp: 679-685.

Gunther, F. and S. Fritsch, 2010. Neuralnet: Training of neural networks. R. J., 2: 30-38.
Direct Link  |  

Joshi, J., 2012. Depression analysis: A multimodal approach. Proceedings of the 14th ACM International Conference on Multimodal Interaction, October 22-26, 2012, ACM, Santa Monica, California, USA., ISBN:978-1-4503-1467-1, pp: 321-324.

O'Dea, B., S. Wan, P.J. Batterham, A.L. Calear and C. Paris et al., 2015. Detecting suicidality on Twitter. Internet Interventions, 2: 183-188.
Direct Link  |  

Orsal, O., O. Orsal, A. Unsal and S.S. Ozalp, 2013. Evaluation of internet addiction and depression among university students. Proc. Soc. Behav. Sci., 82: 445-454.
Direct Link  |  

Patel, R.K. and V.K. Giri, 2016. Feature selection and classification of mechanical fault of an induction motor using random forest classifier. Perspect. Sci., 8: 334-337.
Direct Link  |  

Scherer, S., Z. Hammal, Y. Yang, L.P. Morency and J.F. Cohn, 2014. Dyadic behavior analysis in depression severity assessment interviews. Proceedings of the 16th International Conference on Multimodal Interaction, November 12-16, 2014, ACM, Istanbul, Turkey, ISBN:978-1-4503-2885-2, pp: 112-119.

Suhara, Y., Y. Xu and A.S. Pentland, 2017. Deepmood: Forecasting depressed mood based on self-reported histories via recurrent neural networks. Proceedings of the 26th International Conference on World Wide Web, April 03-07, 2017, ACM, Perth, Australia, ISBN:978-1-4503-4913-0, pp: 715-724.

Swetapadma, A. and A. Yadav, 2016. Protection of parallel transmission lines including inter-circuit faults using Naive Bayes classifier. Alexandria Eng. J., 55: 1411-1419.
Direct Link  |  

Taheri, S., M. Mammadov and A.M. Bagirov, 2011. Improving naive Bayes classifier using conditional probabilities. Proceedings of the 9th Conference on Australasian Data Mining Vol. 121, December 01-02, 2011, ACM, Ballarat, Australia, ISBN:978-1-921770-02-9, pp: 63-68.

Wahed, W.Y.A. and S.K. Hassan, 2017. Prevalence and associated factors of stress, anxiety and depression among medical Fayoum University students. Alexandria J. Med., 53: 77-84.
Direct Link  |  

Wilson, M.L., S. Ali and M.F. Valstar, 2014. Finding information about mental health in microblogging platforms: A case study of depression. Proceedings of the 5th International Symposium on Information Interaction in Context, August 26-30, 2014, ACM, Regensburg, Germany, ISBN:978-1-4503-2976-7, pp: 8-17.

Wolters, M.K., A.S. Tatar, S. Matu, R. Moldovan and D. David et al., 2014. eHealth support for people with depression in the community: A case study series. Proceedings of the Conference on HCI Korea, December 10-12, 2014, Hanbit Publishing Network, Seoul, Korea, ISBN:978-89-6848-752-1, pp: 138-144.

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