Research Output per year
Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 31 Similar Profiles
Information retrieval
Engineering & Materials Science
Feedback
Engineering & Materials Science
Experiments
Engineering & Materials Science
Search engines
Engineering & Materials Science
Semantics
Engineering & Materials Science
Genes
Engineering & Materials Science
Information Retrieval
Mathematics
Hidden Markov models
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1990 2019
Adapting sequence to sequence models for text normalization in social media
Lourentzou, I., Manghnani, K. & Zhai, C., Jan 1 2019, p. 335-345. 11 p.Research output: Contribution to conference › Paper
Processing
Speech analysis
Linguistics
Experiments
A generative model for discovering action-based roles and community role compositions on community question answering platforms
Geigle, C., Dev, H., Sundaram, H. & Zhai, C. X., Jan 1 2019, p. 181-192. 12 p.Research output: Contribution to conference › Paper
Chemical analysis
Health
Probability distributions
Experiments
Analysis of adaptive training for learning to rank in information retrieval
Kuzi, S., Labhishetty, S., Santu, S. K. K., Joshi, P. P. & Zhai, C. X., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2325-2328 4 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
Information retrieval
Learning to rank
Query
Ranking function
Calibration
Automatic assessment of complex assignments using topic models
Kuzi, S., Cope, W., Ferguson, D., Geigle, C. & Zhai, C. X., Jun 24 2019, Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019. Association for Computing Machinery, Inc, (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
Veterinary medicine
Students
learning
veterinary medicine
Learning systems
Exploiting Knowledge Graph to Improve Text-based Prediction
Jiang, S., Zhai, C. & Mei, Q., 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. 1407-1416 10 p. 8622123. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Supervised learning
Sensors
Decision making
Semantics
Big data