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Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

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Quality of service Engineering & Materials Science
Servers Engineering & Materials Science
Classifiers Engineering & Materials Science
Websites Engineering & Materials Science
Data mining Engineering & Materials Science
Scheduling Engineering & Materials Science
Semantics Engineering & Materials Science
Internet Engineering & Materials Science

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Projects 2007 2019

Research Output 1986 2019

A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging

Aggarwal, K., Khadanga, S., Joty, S., Kazaglis, L. & Srivastava, J., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1318-1327 10 p. 8622286. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sleep
Air
Recurrent neural networks
Convolution
Health

ML approach for early detection of sleep apnea treatment abandonment: A case study

Araujo, M., Bhojwani, R., Srivastava, J., Kazaglis, L. & Iber, C., Apr 23 2018, DH 2018 - Proceedings of the 2018 International Conference on Digital Health. Association for Computing Machinery, Vol. 2018-April. p. 75-79 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Health
Learning systems
Trajectories
Personnel
Sleep

Resilience analytics: coverage and robustness in multi-modal transportation networks

Baggag, A., Abbar, S., Zanouda, T. & Srivastava, J., Dec 1 2018, In : EPJ Data Science. 7, 1, 14.

Research output: Contribution to journalArticle

Multimodal transportation
Transportation Networks
Resilience
Coverage
Robustness

Utilizing computational trust to identify rumor spreaders on Twitter

Rath, B., Gao, W., Ma, J. & Srivastava, J., Dec 1 2018, In : Social Network Analysis and Mining. 8, 1, 64.

Research output: Contribution to journalArticle

Spreaders
rumor
Recurrent neural networks
twitter
Intelligent systems

Advanced computation of sparse precision matrices for big data

Baggag, A., Bensmail, H. & Srivastava, J., Jan 1 2017, Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings. Cao, L., Shim, K., Lee, J-G., Kim, J., Moon, Y-S. & Lin, X. (eds.). Springer- Verlag, p. 27-38 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10235 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Covariance matrix
Method of multipliers
Alternating Direction Method
Positive Definiteness
Stopping Criterion