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Wang W, Chen L, Chen K, Thirunarayan K, Sheth AP.
Adaptive Training Instance Selection for Cross-domain Emotion Identification. In Proceedings of the International Conference on Web Intelligence. New York, NY, USA: ACM; 2017. p. 525–532.
(710.53 KB) Roopteja Muppalla, Michele Miller, Tanvi Banerjee, William Romine.
Discovering Explanatory Models to Identify Relevant Tweets on Zika. In 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017). Jeju Island, Republic of Korea: IEEE ; 2017.
(131.86 KB) 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) Lakshika Balasuriya.
Finding Street Gang Member Profiles on Twitter. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2017. p. 67.
(2.57 MB) Edupuganti V.
Harassment Detection on Twitter using Conversations. Computer Science. [Dayton]: Wright State University; 2017.
(1.88 MB) 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) Sagar Sharma, Keke Chen.
PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In Distributed Computing Systems (ICDCS), 2017 IEEE 37th International Conference. Atlanta, GA, USA: IEEE; 2017.
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PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). Atlanta,GA,USA; 2017. p. 2507-2510.
(450.54 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) Usha Lokala, Prabhakar K Sharma, Srinivas Nowduri.
Road Accidents Bigdata Mining and Visualization using Support Vector Machines. In The ICMLA 2017: 19th International Conference on Machine Learning and Applications. Copenhagen, Denmark; 2017.
(236.14 KB) Robinson J, Doran D.
Seasonality in dynamic stochastic block models. In Proceedings of the International Conference on Web Intelligence. Leipzig, Germany: ACM; 2017. p. 976–979.
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) Kalpa Gunaratna.
Semantics-based Summarization of Entities in Knowledge Graphs. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2017. p. 145.
(3.81 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.
(438.42 KB) Keke Chen, Avusherla B, Allison S, Schmidt V.
SPIN: Cleaning, Monitoring, and Querying Image Streams Generated by Ground-Based Telescopes for Space Situational Awareness. 2017 ;.
Citation
Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt
Data Intensive Analysis and Computing Lab
Department of Computer Science and Engineering
Wright State University, OH, USA
E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
Citation
Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt
Data Intensive Analysis and Computing Lab
Department of Computer Science and Engineering
Wright State University, OH, USA
E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
(2.5 MB) Edgard Marx, Saeedeh Shekarpour, Tommaso Soru, Adrian Brasoveanu, Muhammad Saleem, Ciro Baron, Albert Weichselbraun, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Sören Auer.
Torpedo: Improving the State-of-the-Art RDF Dataset Slicing. In 11th International Conference on Semantic Computing (IEEE ICSC 2017). San Diego, California; 2017.
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