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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 13 Similar Profiles
Wireless sensor networks Engineering & Materials Science
Markov processes Engineering & Materials Science
Learning systems Engineering & Materials Science
neural network Social Sciences
Sampling Engineering & Materials Science
Electric network analysis Engineering & Materials Science
Factorization Engineering & Materials Science
Routing protocols Engineering & Materials Science

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

Research Output 2005 2017

  • 254 Citations
  • 8 h-Index
  • 13 Conference contribution
  • 1 Paper
  • 1 Conference article

Denoising criterion for variational auto-encoding framework

Im, D. J., Ahn, S., Memisevic, R. & Bengio, Y., Jan 1 2017, p. 2059-2065. 7 p.

Rutgers, The State University

Research output: Contribution to conferencePaper

2 Citations

SENA: Preserving social structure for network embedding

Hong, S., Chakraborty, T., Ahn, S., Husari, G. & Park, N., Jul 4 2017, HT 2017 - Proceedings of the 28th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, Inc, p. 235-244 10 p.

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

Electric network analysis

Generating factoid questionswith recurrent neural networks: The 30M factoid question-answer corpus

Serban, I. V., García-Durán, A., Gulcehre, C., Ahn, S., Chandar, S., Courville, A. & Bengio, Y., Jan 1 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), Vol. 1. p. 588-598 11 p.

Rutgers, The State University

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

neural network
evaluation
learning
language
Recurrent Neural Networks

Pointing the unknown words

Gulcehre, C., Ahn, S., Nallapati, R., Zhou, B. & Bengio, Y., Jan 1 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), Vol. 1. p. 140-149 10 p.

Rutgers, The State University

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

neural network
vocabulary
language
learning
performance
4 Citations

Scalable overlapping community detection

El-Helw, I., Hofman, R., Li, W., Ahn, S., Welling, M. & Bal, H., Jul 18 2016, Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016. Institute of Electrical and Electronics Engineers Inc., p. 1463-1472 10 p. 7530037

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

Markov processes
Learning algorithms
Learning systems