If you made any changes in Pure, your changes will be visible here soon.

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.

Proteins Medicine & Life Sciences
Protein Mathematics
Genes Engineering & Materials Science
Graphical Models Mathematics
Protein folding Engineering & Materials Science
Homology Mathematics
Importance sampling Engineering & Materials Science
Fragment Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2009 2019

Similarity modeling on heterogeneous networks via automatic path discovery

Yang, C., Liu, M., He, F., Zhang, X., Peng, J. & Han, J., Jan 1 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Bonchi, F., Berlingerio, M., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Springer-Verlag, p. 37-54 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).

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

Heterogeneous networks
Heterogeneous Networks
Reinforcement learning
Path
Computer simulation

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

Cai, Y., Guan, K., Peng, J., Wang, S., Seifert, C., Wardlow, B. & Li, Z., Jun 1 2018, In : Remote Sensing of Environment. 210, p. 35-47 13 p.

Research output: Contribution to journalArticle

artificial intelligence
Landsat
Crops
Learning systems
Time series

Annotating gene sets by mining large literature collections with protein networks

Wang, S., Ma, J., Yu, M. K., Zheng, F., Huang, E. W., Han, J., Peng, J. & Ideker, T., Jan 1 2018, In : Pacific Symposium on Biocomputing. 0, 212669, p. 602-613 12 p.

Research output: Contribution to journalConference article

Genes
Proteins
Biological Ontologies
Natural Language Processing
Literature

Deciphering signaling specificity with deep neural networks

Luo, Y., Ma, J., Liu, Y., Ye, Q., Ideker, T. & Peng, J., Jan 1 2018, Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. Raphael, B. J. (ed.). Springer-Verlag, p. 266-268 3 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10812 LNBI).

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

Specificity
Neural Networks
Deep neural networks

DPPred: An Effective Prediction Framework with Concise Discriminative Patterns

Shang, J., Jiang, M., Tong, W., Xiao, J., Peng, J. & Han, J., Jul 1 2018, In : IEEE Transactions on Knowledge and Data Engineering. 30, 7, p. 1226-1239 14 p.

Research output: Contribution to journalArticle

Experiments