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2018
Utkarshani Jaimini, Hong Yung Yip, Venkatraman R, Dipesh Kadariya, Vaikunth Sridharan, Thirunarayan Krishnaprasad, Maninder Kalra, Amit Sheth. kHealth: A Personalized Healthcare approach for Pediatric Asthma. NSF Smart Health Workshop; 2018.  (702.7 KB)
Utkarshani Jaimini, Hong Yung Yip, Revathy Venkataramanan, Dipesh Kadariya, Vaikunth Sridharan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Manindar Kalra, Amit Sheth. Khealth Digital Personalized Healthcare technology for Pediatric Asthma. mHealth Technology Showcase, National Institute of Health- June 2018; 2018.  (1.83 MB)
Amelie Gyrard, Manas Gaur, Swati Padhee, Amit Sheth, Juganaru-Mathieu M. Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. In Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2018. p. 1935–1936.  (379.98 KB)
Amit Sheth, Thirunarayan Krishnaprasad, Michael R. Partin. Knowledge-empowered real-time event-centric situational analysis. NSF I/UCRC, Center for Surveillance Research Advisory Board meeting, August 7th, 2018; 2018.  (1.61 MB)
Vaikunth Sridharan, Revathy Venkataramanan, Dipesh Kadariya, Krishnaprasad Thirunarayan, Amit Sheth, Maninder Kalra. Knowledge-enabled Personalized Dashboard for Asthma Management in Children. American College of Allergy, Asthma & Immunology Annual Meeting ; 2018.  (461.4 KB)
Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak. "Let Me Tell You About Your Mental Health!" Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. In The 27th ACM International Conference on Information and Knowledge Management (CIKM’18). Torino, Italy: Association for Computing Machinery; 2018.  (335.44 KB)
Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth. Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models. In Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe, New Mexico, USA: Association for Computational Linguistics; 2018. p. 1986–1997.  (663.03 KB)
Amelie Gyrard, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, Amit Sheth. Personalized Health Knowledge Graph. In Contextualized Knowledge Graph (CKG) Workshop International Semantic Web Conference (ISWC) 2018. Monterey, California, USA: LNCS; 2018.  (861.22 KB) (371.57 KB)
Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit Sheth. Personalized Prediction of Suicide Risk for Web-based Intervention. 24th NIMH Conference on Mental Health Services Research (MHSR); 2018.  (1.33 MB)
Sagar Sharma, Keke Chen. Poster: Image Disguising for Privacy-preserving Deep Learning. ACM Conference on Computer and Communications Security (CCS) 2018; 2018.  (1.04 MB)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, Ismailcem Budak Arpinar. Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. p. 39-79.  (514.1 KB)
Sagar Sharma, Keke Chen. Privacy-Preserving Boosting with Random Linear Classifiers. ACM Conference on Computer and Communications Security (CCS) 2018; 2018.  (724.46 KB)
Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie Shalin, 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)
Ankita Saxena. A Semantically Enhance Approach to Identify Depression Indicative Symptoms Using Twitter Data. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2018.  (1.42 MB)
Vaikunth Sridharan. Sensor Data Streams Correlation Platform for Asthma Management. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2018.  (821.27 KB)
Sagar Sharma, Keke Chen, Amit Sheth. Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. IEEE; 2018. p. 42-51.  (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.  (1.18 MB)
Joseph J Deferio, Tomer T Levin, Judith Cukor, Samprit Banerjee, Rozan Abdulrahman, Amit Sheth, Neel Mehta, Jyotishman Pathak. Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings. JAMIA Open. 2018 ;:1-13.  (550.45 KB)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit Sheth, I. Budak Arpinar. "What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Santiago, Chile: IEEE; 2018.  (902.96 KB)
Kuldeep Singh, Arun Sethupat, Andreas Both, Saeedeh Shekarpour, Ioanna Lytra, Ricardo Usbeck, Akhilesh Vyas, Akmal Khikmatullaev, Dharmen Punjani, Christoph Lange, Maria-Esther Vidal, Jens Lehmann, Sören Auer. 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, Mussah Zatreh, 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.
2019
Swati Padhee, Anurag Illendula, Amit Sheth, Krishnaprasad Thirunarayan, Valerie Shalin. Adaptive Knowledge Networks: A Time Capsule. CRA-W Grad Cohort, Chicago; 2019.  (298.01 KB)
Mahda Noura, Amelie Gyrard, Sebastian Heil, Martin Gaedke. Automatic Knowledge Extraction to build Semantic Web of Things Applications. IEEE Internet of Things (IoT) Journal. 2019 ;.  (259.11 KB)
Saeedeh Shekarpour, Alshargi F, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit Sheth. CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation on Relations. In The 13th IEEE International Conference on Semantic Computng. Newport Beach, California: IEEE; 2019.  (488.83 KB)
Tebo C, Mazer-Amirshahi M, Campleman S, Edward Boyer, Brent J, Amit Sheth, wax P, Robert Carlson. Characterizing trends in synthetic cannabinoid use from structured patient interviews during medical toxicology consultation. In North American Congress of Clinical Toxicology (NACCT). Nashville, Tennessee; 2019.
Amit Sheth, Hong Yung Yip, Iyengar A, Tepper P. Cognitive Services and Intelligent Chatbots: Current Perspectives and Special Issue Introduction. IEEE Internet Computing. IEEE; 2019 ;:6-12.
Revathy Venkataramanan, Krishnaprasad Thirunarayan, Utkarshani Jaimini, Dipesh Kadariya, Hong Yung Yip, Maninder Kalra, Amit Sheth. Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational Study. JMIR Pediatr Parent. 2019 ;2:e14300.  (472.52 KB)
Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit Sheth. empathi: An ontology for Emergency Managing and Planning about Hazard Crisis. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019.  (519.08 KB)
Amelie Gyrard, Amit Sheth. IAMHAPPY: Towards An IoT Knowledge-Based Cross-Domain Well-Being Recommendation System for Everyday Happiness. In IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Conference. Washington DC, USA: IEEE, ACM, Elsevier; 2019.  (684.2 KB)
Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Thirunarayan Krishnaprasad, Amit Sheth. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.  (278.92 KB)
Shreyansh Bhatt, Swati Padhee, Amit Sheth, Keke Chen, Valerie Shalin, Derek Doran, Brandon Minnery. Knowledge Graph Enhanced Community Detection and Characterization. In Twelfth ACM International Conference on Web Search and Data Mining. Melbourne, Australia: ACM; 2019. p. 51-59.  (1.47 MB)
Manas Gaur, Amanuel Alambo, Sain JP, Ugur Kursuncu, Thirunarayam K, Ramakanth Kavuluru, Amit Sheth, Welton RS, Jyotishman Pathak. Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. In The Web Conference 2019. San Francisco, CA, USA: Association for Computing Machinery; 2019.  (1.45 MB)
Alshargi F, Saeedeh Shekarpour, Tommaso Soru, Amit Sheth. Metrics for Evaluating Quality of Embeddings for Ontological Concepts. In AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering . Palo Alto, California : AAAI; 2019.  (824.92 KB)
Anarag Illendula, Amit Sheth. Multimodal Emotion Classification. In 2019 World Wide Web Conference . San Francisco, CA, USA; 2019.  (907.05 KB)
Maneriker P, Vedula N, Hussein S. Al-Olimat, Liang J, El-Khoury O, Kubatko E, Liu D, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit Sheth, Srinivasan Parthasarathy. A Pipeline for Disaster Response and Relief Coordination. In 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Paris, France; 2019.
Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Thirunarayam K, Amelie Gyrard, Randall Hand, Jyotishman Pathak, Amit Sheth. Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019.  (553.39 KB)
Joseph J Deferio, Breitinger S, Khullar D, Amit Sheth, Jyotishman Pathak. Social determinants of health in mental health care and research: a case for greater inclusion. Journal of the American Medical Informatics Association. Oxford University Press; 2019 ;.  (273.95 KB)

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