Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit Sheth.
Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case. In IEEE Conference on Big Data. Boston, MA, USA; 2017. S. Lalithsena, S. Perera, P. Kapanipathi and A. Sheth, "Domain-specific hierarchical subgraph extraction: A recommendation use case," 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 666-675. doi: 10.1109/BigData.2017.8257982
S. Lalithsena, S. Perera, P. Kapanipathi and A. Sheth, "Domain-specific hierarchical subgraph extraction: A recommendation use case," 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 666-675. doi: 10.1109/BigData.2017.8257982
(475.77 KB) Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran.
EmojiNet: An Open Service and API for Emoji Sense Discovery. In 11th International AAAI Conference on Web and Social Media (ICWSM 2017). Montreal, Canada; 2017.
(5.69 MB) Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Gaur M, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan.
Feature Engineering for Twitter-based Applications. Chapman and Hall. Data Mining and Knowledge Discovery Series; 2017. p. 35. Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. "Feature Engineering for Twitter-based Applications", in Feature Engineering for Machine Learning and Data Analytics. Editors. Guozhu Dong and Huan Liu. Chapman and Hall/CRC Data Mining and Knowledge Discovery Series. December 2017.
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. "Feature Engineering for Twitter-based Applications", in Feature Engineering for Machine Learning and Data Analytics. Editors. Guozhu Dong and Huan Liu. Chapman and Hall/CRC Data Mining and Knowledge Discovery Series. December 2017.
(684.81 KB) Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth.
A Knowledge Graph Framework for Detecting Traffic Events Using Stationary Cameras. In Industrial Knowledge Graphs 2017 Workshop (co-located with 9th International ACM Web Science Conference 2017). Troy, NY; 2017.
(3.03 MB) Soon Jye Kho, Yalamanchili HBindu, Raymer ML, Amit P. Sheth.
A Novel Approach for Classifying Gene Expression Data using Topic Modeling. In 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Boston, MA: ACM; 2017.
(754.03 KB) Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng.
Relatedness-based Multi-Entity Summarization. In International Joint Conference on Artificial Intelligence 2017 (IJCAI-17). Melbourne, Australia; 2017.
(271.38 KB) Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran.
A Semantics-Based Measure of Emoji Similarity. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017.
(2.34 MB) Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Bajaj G, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth.
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.
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