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ORCIDAmit P. Sheth
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- affiliation: University of South Carolina, SC, USA
- affiliation (former): Wright State University, Dayton, Kno.e.sis Center
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2020 – today
- 2022
[j160]Amit P. Sheth, Valerie L. Shalin, Ugur Kursuncu:
Defining and detecting toxicity on social media: context and knowledge are key. Neurocomputing 490: 312-318 (2022)- [j159]Utkarshani Jaimini, Amit P. Sheth
:
CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning. IEEE Internet Comput. 26(1): 43-50 (2022) - [j158]Manas Gaur, Kalpa Gunaratna, Shreyansh P. Bhatt, Amit P. Sheth:
Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI. IEEE Internet Comput. 26(4): 5-11 (2022) - [c280]Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Amit P. Sheth, Srinivasan Parthasarathy, Olivier Bodenreider:
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks. Insights@ACL 2022: 82-87 - [c279]Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit P. Sheth:
A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework. ICWSM 2022: 640-650 - [c278]Maryam Panahiazar, Yorick Chern, Ramon Riojas, Omar S. Latif, Usha Lokala, Dexter Hadley, Amit P. Sheth, Ramin E. Beygui:
An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics. MIE 2022: 407-408 - [c277]Vinh Nguyen, Hong Yung Yip, Goonmeet Bajaj, Thilini Wijesiriwardene, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus. WWW 2022: 1037-1046 - [i83]Utkarshani Jaimini, Amit P. Sheth:
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning. CoRR abs/2201.03647 (2022) - [i82]Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md Shad Akthar, Maryam Panahiazar, Amit P. Sheth:
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework. CoRR abs/2203.11856 (2022) - [i81]Ruwan Wickramarachchi, Cory Henson, Amit P. Sheth:
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems. CoRR abs/2203.16616 (2022) - [i80]Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth:
Process Knowledge-infused Learning for Suicidality Assessment on Social Media. CoRR abs/2204.12560 (2022) - [i79]Thilini Wijesiriwardene, Vinh Nguyen, Goonmeet Bajaj, Hong Yung Yip, Vishesh Javangula, Yuqing Mao, Kin Wah Fung, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus. CoRR abs/2204.12716 (2022) - [i78]Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit P. Sheth:
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection. CoRR abs/2205.01325 (2022) - [i77]Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth:
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR abs/2205.13884 (2022) - [i76]Keyur Faldu, Amit P. Sheth, Prashant Kikani, Darshan Patel:
MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems. CoRR abs/2206.01268 (2022) - [i75]Tarun Garg, Kaushik Roy, Amit P. Sheth:
Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa. CoRR abs/2206.09259 (2022) - [i74]Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal:
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. CoRR abs/2206.13349 (2022) - 2021
- [j157]Muhammad Intizar Ali, Pankesh Patel, John G. Breslin, Ramy F. Harik, Amit P. Sheth:
Cognitive Digital Twins for Smart Manufacturing. IEEE Intell. Syst. 36(2): 96-100 (2021) - [j156]Ruwan Wickramarachchi, Cory Henson, Amit P. Sheth:
Knowledge-infused Learning for Entity Prediction in Driving Scenes. Frontiers Big Data 4: 759110 (2021) - [j155]Ugur Kursuncu, Hemant Purohit, Nitin Agarwal, Amit P. Sheth:
When the Bad is Good and the Good is Bad: Understanding Cyber Social Health Through Online Behavioral Change. IEEE Internet Comput. 25(1): 6-11 (2021) - [j154]Manas Gaur, Keyur Faldu, Amit P. Sheth:
Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable? IEEE Internet Comput. 25(1): 51-59 (2021) - [j153]Ugur Kursuncu, Hemant Purohit, Nitin Agarwal, Amit P. Sheth:
When the Bad Is Good and the Good Is Bad: Understanding Cyber Social Health Through Online Behavioral Change. IEEE Internet Comput. 25(2): 46-47 (2021) - [j152]Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-Intensive Language Understanding for Explainable AI. IEEE Internet Comput. 25(5): 19-24 (2021) - [j151]Amit P. Sheth, Krishnaprasad Thirunarayan:
The Duality of Data and Knowledge Across the Three Waves of AI. IT Prof. 23(3): 35-45 (2021) - [j150]Kaishu Xia, Clint Saidy, Max Kirkpatrick, Noble Anumbe, Amit P. Sheth, Ramy F. Harik:
Towards Semantic Integration of Machine Vision Systems to Aid Manufacturing Event Understanding. Sensors 21(13): 4276 (2021) - [c276]Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth:
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c275]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c274]Forest Agostinelli, Mihir Mavalankar, Vedant Khandelwal, Hengtao Tang, Dezhi Wu, Barnett Berry, Biplav Srivastava, Amit P. Sheth, Matthew Irvin:
Designing Children's New Learning Partner: Collaborative Artificial Intelligence for Learning to Solve the Rubik's Cube. IDC 2021: 610-614 - [c273]Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI 2021: 265-269 - [c272]Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth:
Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. MedInfo 2021: 140-144 - [c271]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. ECML/PKDD (1) 2021: 35-50 - [i73]Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth:
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. CoRR abs/2102.01222 (2021) - [i72]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. CoRR abs/2102.06245 (2021) - [i71]Amit P. Sheth, Krishnaprasad Thirunarayan:
The Inescapable Duality of Data and Knowledge. CoRR abs/2103.13520 (2021) - [i70]Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth:
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. CoRR abs/2103.15764 (2021) - [i69]Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth:
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. CoRR abs/2104.04140 (2021) - [i68]Keyur Faldu, Amit P. Sheth, Prashant Kikani, Hemang Akabari:
KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding. CoRR abs/2104.08145 (2021) - [i67]Amit P. Sheth, Valerie L. Shalin, Ugur Kursuncu:
Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key. CoRR abs/2104.10788 (2021) - [i66]Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. CoRR abs/2105.06398 (2021) - [i65]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. CoRR abs/2106.13895 (2021) - [i64]Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-intensive Language Understanding for Explainable AI. CoRR abs/2108.01174 (2021) - [i63]Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus. CoRR abs/2109.13348 (2021) - [i62]Keyur Faldu, Amit P. Sheth, Prashant Kikani, Manas Gaur, Aditi Avasthi:
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems. CoRR abs/2111.05364 (2021) - 2020
- [j149]Shreyansh P. Bhatt, Amit P. Sheth, Valerie L. Shalin, Jinjin Zhao:
Knowledge Graph Semantic Enhancement of Input Data for Improving AI. IEEE Internet Comput. 24(2): 66-72 (2020) - [j148]Hemant Purohit, Valerie L. Shalin, Amit P. Sheth:
Knowledge Graphs to Empower Humanity-Inspired AI Systems. IEEE Internet Comput. 24(4): 48-54 (2020) - [j147]Sanjaya Wijeratne, Horacio Saggion, Emre Kiciman, Amit P. Sheth:
Emoji Understanding and Applications in Social Media: Lay of the Land and Special Issue Introduction. ACM Trans. Soc. Comput. 3(2): 6:1-6:5 (2020) - [c270]Ugur Kursuncu, Manas Gaur, Amit P. Sheth:
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020 - [c269]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020 - [c268]Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit P. Sheth, Jeremiah Schumm:
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework. COLING 2020: 696-709 - [c267]Shweta Yadav, Vishal Pallagani, Amit P. Sheth:
Medical Knowledge-enriched Textual Entailment Framework. COLING 2020: 1795-1801 - [c266]Manas Gaur, Ugur Kursuncu, Amit P. Sheth, Ruwan Wickramarachchi, Shweta Yadav:
Knowledge-infused Deep Learning. HT 2020: 309-310 - [c265]Shweta Yadav, Joy Prakash Sain, Amit P. Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Assessing the Severity of Health States based on Social Media Posts. ICPR 2020: 5728-5735 - [c264]Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
ALONE: A Dataset for Toxic Behavior Among Adolescents on Twitter. SocInfo 2020: 427-439 - [c263]Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte, Francois R. Lamy, Krishnaprasad Thirunarayan, Usha Lokala, Amit P. Sheth:
eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection. WWW 2020: 1955-1965 - [e21]Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava:
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), San Diego, California, USA, August 24, 2020. CEUR Workshop Proceedings 2657, CEUR-WS.org 2020 [contents] - [e20]Reza Samavi, Mariano P. Consens, Shahan Khatchadourian, Vinh Nguyen, Amit P. Sheth, José M. Giménez-García, Harsh Thakkar:
Proceedings of the Blockchain enabled Semantic Web Workshop (BlockSW) and Contextualized Knowledge Graphs (CKG) Workshop co-located with the 18th International Semantic Web Conference, BlockSW/CKG@ISWC 2019, Auckland, New Zealand, October 27, 2019. CEUR Workshop Proceedings 2599, CEUR-WS.org 2020 [contents] - [i61]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. CoRR abs/2003.00344 (2020) - [i60]Amit P. Sheth, Swati Padhee, Amelie Gyrard:
Knowledge Graphs and Knowledge Networks: The Story in Brief. CoRR abs/2003.03623 (2020) - [i59]Shreyansh P. Bhatt, Amit P. Sheth, Valerie L. Shalin, Jinjin Zhao:
Knowledge Graph semantic enhancement of input data for improving AI. CoRR abs/2005.04726 (2020) - [i58]Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Ch V. Radha Sai Rupesh, Sakthi Balan Muthiah, Amit P. Sheth:
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India. CoRR abs/2008.06335 (2020) - [i57]Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter. CoRR abs/2008.06465 (2020) - [i56]Shweta Yadav, Joy Prakash Sain, Amit P. Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Assessing the Severity of Health States based on Social Media Posts. CoRR abs/2009.09600 (2020) - [i55]Shweta Yadav, Usha Lokala, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Francois R. Lamy, Amit P. Sheth:
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction. CoRR abs/2009.10155 (2020) - [i54]Manas Gaur, Keyur Faldu, Amit P. Sheth:
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? CoRR abs/2010.08660 (2020) - [i53]Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth:
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. CoRR abs/2010.14628 (2020) - [i52]Shweta Yadav, Vishal Pallagani, Amit P. Sheth:
Medical Knowledge-enriched Textual Entailment Framework. CoRR abs/2011.05257 (2020) - [i51]Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit P. Sheth, Jeremiah Schumm:
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework. CoRR abs/2011.06149 (2020) - [i50]Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak:
Comparing Suicide Risk Insights derived from Clinical and Social Media data. CoRR abs/2012.11393 (2020)
2010 – 2019
- 2019
- [j146]Usha Lokala, Francois R. Lamy, Raminta Daniulaityte, Amit P. Sheth, Ramzi W. Nahhas, Jason I. Roden, Shweta Yadav, Robert G. Carlson:
Global trends, local harms: availability of fentanyl-type drugs on the dark web and accidental overdoses in Ohio. Comput. Math. Organ. Theory 25(1): 48-59 (2019) - [j145]Amit P. Sheth, Hong Yung Yip, Saeedeh Shekarpour:
Extending Patient-Chatbot Experience with Internet-of-Things and Background Knowledge: Case Studies with Healthcare Applications. IEEE Intell. Syst. 34(4): 24-30 (2019) - [j144]Amit P. Sheth, Hong Yung Yip, Arun Iyengar, Paul Tepper:
Cognitive Services and Intelligent Chatbots: Current Perspectives and Special Issue Introduction. IEEE Internet Comput. 23(2): 6-12 (2019) - [j143]Amit P. Sheth, Swati Padhee, Amelie Gyrard:
Knowledge Graphs and Knowledge Networks: The Story in Brief. IEEE Internet Comput. 23(4): 67-75 (2019) - [j142]Amit P. Sheth, Manas Gaur, Ugur Kursuncu, Ruwan Wickramarachchi:
Shades of Knowledge-Infused Learning for Enhancing Deep Learning. IEEE Internet Comput. 23(6): 54-63 (2019) - [j141]Damiano Spina, Arkaitz Zubiaga, Amit P. Sheth, Markus Strohmaier:
Processing social media in real-time. Inf. Process. Manag. 56(3): 1081-1083 (2019) - [j140]Joseph J. DeFerio, Scott Breitinger, Dhruv Khullar, Amit P. Sheth, Jyotishman Pathak:
Social determinants of health in mental health care and research: a case for greater inclusion. J. Am. Medical Informatics Assoc. 26(8-9): 895-899 (2019) - [j139]Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth:
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. Proc. ACM Hum. Comput. Interact. 3(CSCW): 151:1-151:22 (2019) - [c262]Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit P. Sheth:
Metrics for Evaluating Quality of Embeddings for Ontological Concepts. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c261]Farahnaz Golrooy Motlagh, Saeedeh Shekarpour, Amit P. Sheth, Krishnaprasad Thirunarayan, Michael L. Raymer:
Predicting public opinion on drug legalization: social media analysis and consumption trends. ASONAM 2019: 952-961 - [c260]Shreyansh P. Bhatt, Keke Chen, Valerie L. Shalin, Amit P. Sheth, Brandon S. Minnery:
Who Should Be the Captain This Week?Leveraging Inferred Diversity-Enhanced Crowd Wisdom for a Fantasy Premier League Captain Prediction. ICWSM 2019: 103-113 - [c259]Soon Jye Kho, Amit P. Sheth, Olivier Bodenreider:
Automatic Identification of Individual Drugs in Death Certificates. MedInfo 2019: 183-187 - [c258]Saeedeh Shekarpour, Faisal Alshargi, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth:
CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation on Relations. ICSC 2019: 385-391 - [c257]Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit P. Sheth:
Empathi: An Ontology for Emergency Managing and Planning About Hazard Crisis. ICSC 2019: 396-403 - [c256]Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit P. Sheth, Randon S. Welton, Jyotishman Pathak:
Question Answering for Suicide Risk Assessment Using Reddit. ICSC 2019: 468-473 - [c255]Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan J. Kubatko, Desheng Liu, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy:
A Pipeline for Disaster Response and Relief Coordination. SIGIR 2019: 1337-1340 - [c254]Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Krishnaprasad Thirunarayan, Amit P. Sheth:
kBot: Knowledge-Enabled Personalized Chatbot for Asthma Self-Management. SMARTCOMP 2019: 138-143 - [c253]Shreyansh P. Bhatt, Swati Padhee, Amit P. Sheth, Keke Chen, Valerie L. Shalin, Derek Doran, Brandon S. Minnery:
Knowledge Graph Enhanced Community Detection and Characterization. WSDM 2019: 51-59 - [c252]Anurag Illendula, Amit P. Sheth:
Multimodal Emotion Classification. WWW (Companion Volume) 2019: 439-449 - [c251]Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak:
Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. WWW 2019: 514-525 - [i49]Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, William L. Romine, Amirhassan Monadjemi, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak:
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health. CoRR abs/1902.06843 (2019) - [i48]Anurag Illendula, Amit P. Sheth:
Multimodal Emotion Classification. CoRR abs/1903.12520 (2019) - [i47]Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth:
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. CoRR abs/1908.06520 (2019) - [i46]Ugur Kursuncu, Manas Gaur, Amit P. Sheth:
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. CoRR abs/1912.00512 (2019) - 2018
- [j138]Jisun An, Rumi Chunara, David J. Crandall, Darian Frajberg, Megan French, Bernard J. Jansen, Juhi Kulshrestha, Yelena Mejova, Daniel M. Romero, Joni Salminen, Amit Sharma, Amit P. Sheth, Chenhao Tan, Samuel Hardman Taylor, Sanjaya Wijeratne:
Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media. AI Mag. 39(4): 36-44 (2018) - [j137]Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, Kristen Brent Venable, Neal Wagner, Anna Zamansky:
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39(4): 45-56 (2018) - [j136]Amit P. Sheth:
What do you have that others don't?: succeeding in academia or industry. XRDS 25(1): 14-15 (2018) - [j135]Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth:
Machine learning for internet of things data analysis: a survey. Digit. Commun. Networks 4(3): 161-175 (2018) - [j134]Amit P. Sheth, Utkarshani Jaimini, Hong Yung Yip:
How Will the Internet of Things Enable Augmented Personalized Health? IEEE Intell. Syst. 33(1): 89-97 (2018) - [j133]Edward Curry, Amit P. Sheth:
Next-Generation Smart Environments: From System of Systems to Data Ecosystems. IEEE Intell. Syst. 33(3): 69-76 (2018) - [j132]Pankesh Patel, Muhammad Intizar Ali, Amit P. Sheth:
From Raw Data to Smart Manufacturing: AI and Semantic Web of Things for Industry 4.0. IEEE Intell. Syst. 33(4): 79-86 (2018) - [j131]Amit P. Sheth, Biplav Srivastava, Florian Michahelles:
IoT-Enhanced Human Experience. IEEE Internet Comput. 22(1): 4-7 (2018) - [j130]Sagar Sharma, Keke Chen, Amit P. Sheth:
Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems. IEEE Internet Comput. 22(2): 42-51 (2018) - [j129]Amelie Gyrard, Antoine Zimmermann, Amit P. Sheth:
Building IoT-Based Applications for Smart Cities: How Can Ontology Catalogs Help? IEEE Internet Things J. 5(5): 3978-3990 (2018) - [c250]Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit P. 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. CIKM 2018: 753-762 - [c249]Hussein Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, Amit P. Sheth:
A Practical Incremental Learning Framework For Sparse Entity Extraction. COLING 2018: 700-710 - [c248]Hussein Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth:
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models. COLING 2018: 1986-1997 - [c247]Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy:
D-record: Disaster Response and Relief Coordination Pipeline. ARIC@SIGSPATIAL 2018: 13-16 - [c246]Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth:
Mental Health Analysis Via Social Media Data. ICHI 2018: 459-460 - [c245]Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, Amit P. Sheth:
Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment. NAACL-HLT (2) 2018: 271-277 - [c244]Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Saeedeh Shekarpour:
Personalized Health Knowledge Graph. CKGSemStats@ISWC 2018 - [c243]Shreyansh P. Bhatt, Manas Gaur, Beth Bullemer, Valerie L. Shalin, Amit P. Sheth, Brandon S. Minnery:
Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media. WI 2018: 293-300 - [c242]Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar:
What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding. WI 2018: 474-479 - [c241]Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth:
A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research. WebSci 2018: 33-36 - [c240]Amelie Gyrard, Manas Gaur, Swati Padhee, Amit P. Sheth, Mihaela Juganaru-Mathieu:
Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. WWW (Companion Volume) 2018: 1935-1936 - [e19]