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2018
Sarasi Lalithsena. Domain-specific Knowledge Extraction from the Web of Data. 2018.  (963.39 KB)
Soon Jye Kho, Padhee S, Bajaj G, Krishnaprasad Thirunarayan, Amit Sheth. Domain-specific Use Cases for Knowledge-enabled Social Media Analysis. In Emerging Research Challenges and Opportunities in Social Network Analysis and Mining. Dayton: Springer,2018; 2018.  (199.49 KB)
Francois R. Lamy, Raminta Daniulaityte, Amit Sheth, Robert Carlson, Ramzi W. Nahhas, Monica Barratt, Usha Lokala. eDarkTrends update: New synthetic opiods identified on two cryptomarkets. 2018 .  (423.29 KB)
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; 2018. p. 359-393. 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. pp 359-393, March, 2018.
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. pp 359-393, March, 2018.
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Amit Sheth, Utkarshani Jaimini, Yip HYung. How Will the Internet of Things Enable Augmented Personalized Health? . IEEE Intelligent Systems. IEEE; 2018 ;33(1).  (1.07 MB)
Sheth A, B. Srivastava, Michahelles F. IoT-Enhanced Human Experience. IEEE Internet Computing. IEEE; 2018 ;22(1):4-7.  (230.68 KB)
Ugur K, Manas G, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Arpinar B. Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018.  (548.25 KB)
Rezvan M, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Shalin VL, Amit Sheth. A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research. In Proceedings of the 10th {ACM} Conference on Web Science, WebSci 2018, Amsterdam, The Netherlands, May 27-30, 2018. Amsterdam, The Netherlands: ACM; 2018. p. 33–36.  (398.25 KB)
Sagar Sharma, Keke Chen, Amit Sheth. Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. IEEE; 2018. p. 1-1.  (4.26 MB)
Amit Sheth, Hemant Purohit, Gary Alan Smith, Jeremy Brunn, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23.  (2.08 MB)
Kuldeep Singh, Sethupat A, Andreas Both, Saeedeh Shekarpour, Lytra I, Usbeck R, Khikmatullaev A, Punjani D, Christoph Lange, Vidal M-E, et al.. Why Reinvent the Wheel-Let's Build Question Answering Systems Together. In The Web Conference (WWW 2018). Lyon, France; 2018.
Francois R. Lamy, Raminta Daniulaityte, Zatreh M, Ramzi W. Nahhas, Amit Sheth, Silvia S. Martins, Edward W. Boyer, Robert G. Carlson. "You got to love rosin: Solventless dabs, pure, clean, natural medicine." Exploring Twitter data on emerging trends in Rosin Tech marijuana concentrates. Drug and Alcohol Dependence. 2018 ;183:248 - 252.
2017
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)
Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit P. Sheth. Adaptive Training Instance Selection for Cross-Domain Emotion Identification. In WI ’17. Leipzig, Germany; 2017.  (710.53 KB)
Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee. Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI 2017). Modena, Italy; 2017.  (389.45 KB)
Monireh Ebrahimi, Amir Hossein Yazdavar, Amit Sheth. On the Challenges of Sentiment Analysis for Dynamic Events. IEEE Intelligent Systems. IEEE; 2017 ;.  (548.69 KB)
Raminta Daniulaityte, Francois R. Lamy, Monica Barratt, Ramzi W. Nahhas, Silvia S. Martins, Edward W. Boyer, Amit Sheth, Robert G. Carlson. Characterizing marijuana concentrate users: A web-based survey. Drug and Alcohol Dependence. Elsevier; 2017 ;.
Andrew Hampton, Shreyansh Bhatt, Alan Smith, Jeremy Brunn, Hemant Purohit, Valerie Shalin, John Flach, Amit Sheth. Constructing Synthetic Social Media Stimuli for an Emergency Preparedness Functional Exercise. In 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017). Albi, Occitanie Pyrénées-Méditerranée, France; 2017.  (1.56 MB)
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. Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi and Amit 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
Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi and Amit 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
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Hamid R. Motahar Nezhad, Kalpa Gunaratna, Juan Cappi. eAssistant: Cognitive Assistance for Identification and Auto-Triage of Actionable Conversations. In 26th International World Wide Web Conference (WWW 2017). Perth, Australia; 2017.  (1.42 MB)
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)
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)
Francois R. Lamy, Raminta Daniulaityte, Ramzi W. Nahhas, Monica J. Barratt, Alan G. Smith, Amit Sheth, Silvia S. Martins, Edward W. Boyer, Robert G. Carlson. Increases in synthetic cannabinoids-related harms: Results from a longitudinal web-based content analysis. International Journal of Drug Policy. Elsevier; 2017 ;44:121-129.
Utkarshani Jaimini, Tanvi Banerjee, William Romine, Krishnaprasad Thirunarayan, Amit Sheth, Maninder Kalra. Investigation of an Indoor Air Quality Sensor for Asthma Management in Children. IEEE Sensors Letters. IEEE; 2017 ;1(2):1-4.  (239.26 KB)
Tanvi Banerjee, Amit Sheth. IoT Quality Control for Data and Application Needs. IEEE Intelligent Systems. IEEE; 2017 ;32(2):68-73.  (1.89 MB)
Revathy Venkatramanan, Utkarshani Jaimini, Amit Sheth, Joon K Shim, Priti Parikh, Dene S Berman. kHealth Bariatrics: A Multisensory Approach to Monitoring Patients' Postsurgical Behavior. WSU Celebration of Research, Scholarship, and Creative Activities 2017; 2017.  (436.88 KB)
Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth. A Knowledge Graph Framework for Detecting Traff€ic 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)
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017.  (701.11 KB)
Mahdavinejad MSaeid, Rezvan M, Barekatain M, Adibi P, Payam Barnaghi, Amit P. Sheth. Machine Learning for Internet of Things Data Analysis: A Survey. Digital Communication and Networks [Internet]. ELSEVIER; 2017 ;. http://www.sciencedirect.com/science/article/pii/S235286481730247X (673.83 KB)
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)
Utkarshani Jaimini. PhD Forum: Multimodal IoT and EMR Based Smart Health Application for Asthma Management in Children. In 2017 IEEE International Conference on Smart Computing (SMARTCOMP). Hong Kong, China: IEEE; 2017.  (119.37 KB)
Sharma S, Chen K. 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)
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.
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060.  (271.38 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)
Saeedeh Shekarpour, Edgard Marx, Sören Auer, Amit Sheth. RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem. In 31st AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, California; 2017.  (1.08 MB)
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.
Vinh Nguyen. Semantic Web Foundations for Representing, Reasoning, and Traversing Contextualized Knowledge Graphs. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2017.  (1.39 MB)
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)
Hampton AJ, Shalin VL. Sentinels of breach: Lexical choice as a measure of urgency in social media. Human factors. Sage Publications Sage CA; 2017 ;59(4):505-519.  (932.81 KB)
Zabihimayvan M, Sadeghi R, H. Rude N, Derek Doran. A soft computing approach for benign and malicious web robot detection. Expert Systems with Applications [Internet]. ELSEVIER; 2017 ;87:129 - 140. http://www.sciencedirect.com/science/article/pii/S0957417417304116 (1.86 MB)
Xie N, Brown K, Rude N, Doran D. A Soft Computing Prefetcher to Mitigate Cache Degradation by Web Robots. In: Cong F, Leung A, Wei Q. Advances in Neural Networks - ISNN 2017 [Internet]. Cham: Springer International Publishing; 2017. p. 536–546. http://dx.doi.org/10.1007/978-3-319-59072-1_63 (664.35 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
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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.  (923.15 KB)
Pankesh Patel, Ali MIntizar, Amit Sheth. On Using the Intelligent Edge for IoT Analytics. IEEE Intelligent Systems [Internet]. IEEE; 2017 ;32(5):64-69. http://ieeexplore.ieee.org/document/8070894/ (1.15 MB)

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