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2017
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.
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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. p. 437-446.  (5.69 MB)
Lakshika Balasuriya. Finding Street Gang Member Profiles on Twitter. Computer Science and Engineering. [Dayton]: Wright State University; 2017. p. 67.
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. p. 1-9.  (701.11 KB)
Mahdavinejad MSaeid, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam Barnaghi, Amit 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 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)
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.
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)
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)
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)
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, Derek Doran. 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. p. 646-653.  (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, Goonmeet Bajaj, 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)
Andrew J Hampton, Valerie Shalin. 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, Reza Sadeghi, 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, Kyle Brown, Rude N, Derek Doran. A Soft Computing Prefetcher to Mitigate Cache Degradation by Web Robots. In: Fengyu Cong, 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, Bharath Avusherla, Sarah Allison, Vincent Schmidt. 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, Muhammad Intizar Ali, 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)
Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William Romine, Amit Sheth. What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, and Prevention. JMIR Public Health Surveillance. JMIR Publications; 2017 ;3:e38.
2018
Amit Sheth, Hong Yung Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Revathy Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra. Augmented Personalized Health: Using Semantically Integrated Multimodal Data for Patient Empowered Health Management Strategies. mHealth Technology Showcase, National Institute of Health- June 2018; 2018.  (1.44 MB)
Soon Jye Kho, Amit Sheth, Olivier Bodenreider. Automatic Identification of Individual Drugs in Death Certificates. In The 17th World Congress of Medical and Health Informatics. Lyon, France; 2018.  (480.86 KB)
Amelie Gyrard, Antoine Zimmermann, Amit Sheth. Building IoT based applications for Smart Cities: How can ontology catalogs help?. IEEE Internet of Things Journal. IEEE; 2018 ;5(5):3978-3990.  (598.21 KB)
Mahda Noura, Amelie Gyrard, Sebastian Heil, Martin Gaedke. Concept Extraction from the Web of Things Knowledge Bases. In International Conference WWW/Internet 2018. 21-23 October 2018 Budapest, Hungary: Elsevier; 2018.  (239.15 KB)
Amit Sheth, Tanvi Banerjee, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Krishnaprasad Thirunarayan, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra. Correlating Multimodal Signals with Asthma Control in Children Using kHealth Personalized Digital Health System. In procedings of the American Thoracic Society (ATS) International Conference; 2018.  (412.7 KB)
Swati Padhee, Sarasi Lalithsena, Amit Sheth. Creating Real-Time Dynamic Knowledge Graphs. International Semantic Web Research School (ISWS) 2018, Bertinoro, Italy; 2018.  (425.29 KB)
Paul Groth, Amelie Gyrard. Demo Track Chairs' Welcome and Organization. In Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2018. p. 123–125.  (816.54 KB)
Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, 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)
Shruti Kar, Hussein S. Al-Olmat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Srinivasan Parthasarathy. D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). Seattle, Washington: ACM; 2018.  (1.32 MB)
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)
Shreyansh Bhatt, Manas Gaur, Beth Bullemer, Valerie Shalin, Amit Sheth, Brandon Minnery. Enhancing crowd wisdom using explainable diversity inferred from social media. In IEEE/WIC/ACM International Conference on Web Intelligence. Santiago, Chile: IEEE; 2018.  (313.8 KB)
Amit Sheth, Hong Yung Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Revathy Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra. Feasibility of Recording Sleep Quality And Sleep Duration Using Fitbit in Children with Asthma. 32nd Annual Meeting of the Associated Professional Sleep Societies (SLEEP), 2-6 June 2018, Baltimore, MD; 2018.  (650.88 KB)
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
Sanjaya Wijeratne. A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet. College of Engineering and Computer Science. [Dayton]: Wright State University; 2018. p. 111.
Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Revathy Venkataramanan, Dipesh Kadariya, Amit Sheth. ``How Is My Child's Asthma?'' Digital Phenotype and Actionable Insights for Pediatric Asthma. JMIR Pediatr Parent. JMIR Pediatr Parent; 2018 ;1:e11988.  (1.03 MB)
Amit Sheth, Utkarshani Jaimini, Hong Yung Yip. How Will the Internet of Things Enable Augmented Personalized Health?. IEEE Intelligent Systems. IEEE; 2018 ;33(1).  (1.07 MB)
Amit Sheth, Biplav Srivastava, Michahelles F. IoT-Enhanced Human Experience. IEEE Internet Computing. IEEE; 2018 ;22(1):4-7.  (230.68 KB)

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