Iman Barjasteh

Affiliations:
  • Michigan State University, East Lansing, USA


According to our database1, Iman Barjasteh authored at least 13 papers between 2012 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2018
A Deep Multi-Modal Pairwise Ranking Model for User Generated Food Data.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Deep learning algorithm for autonomous driving using GoogLeNet.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Learning the Implicit Preference of Users for Effective Recommendation.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Semi-supervised Collaborative Ranking with Push at the Top.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach.
IEEE Trans. Knowl. Data Eng., 2016

Network completion by leveraging similarity of nodes.
Soc. Netw. Anal. Min., 2016

2015
Semi-supervised Collaborative Ranking with Push at Top.
CoRR, 2015

PushTrust: An Efficient Recommendation Algorithm by Leveraging Trust and Distrust Relations.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Cold-Start Item and User Recommendation with Decoupled Completion and Transduction.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Network Completion with Node Similarity: A Matrix Completion Approach with Provable Guarantees.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
The Entropy of Attention and Popularity in YouTube Videos.
CoRR, 2014

Trending Videos: Measurement and Analysis.
CoRR, 2014

2012
Transitivity matrix of social network graphs.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012


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