Submissions from 2022
Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision, Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, and Amit Sheth
Synthesis of CdZnTeSe Single Crystals for Room Temperature Radiation Detector Fabrication: Mitigation of Hole Trapping Effects Using a Convolutional Neural Network, Sandeep K. Chaudhuri, Joshua W. Kleppinger, OmerFaruk Karadavut, Ritwik Nag, Rojina Panta, Forest Agostinelli, Amit Sheth, Utpal N. Roy, Ralph B. James, and Krishna C. Mandal
Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games, Dingyang Chen, Yile Li, and Qi Zhang
Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games, Dingyang Chen, Qi Zhang, and Thinh T. Doan
Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa, Tarun Garg, Kaushik Roy, and Amit Sheth
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs, Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, and Hongxia Jin
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts, Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, and Amit Sheth
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts, Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, and Amit Sheth
Reasoning Over Personalized Healthcare Knowledge Graph: A Case Study of Patients with Allergies and Symptoms, Amelie Gyrard, Utkarshani Jaimini, Manas Gaur, Saeedeh Shekharpour, Krishnaprasad Thirunarayan, and Amit Sheth
CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning, Utkarshani Jaimini and Amit Sheth
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework, Usha Lokala; Aseem Srivastava; Triyasha Ghosh Dastidar; Tanmoy Chakraborty; , Md Shad Akthar; Maryam Panahiazar; and Amit Sheth
Interpretable Design of Reservoir Computing Networks Using Realization Theory, Wei Miao, Vignesh Narayanan, and Jr-Shin Li
Event-triggered Optimal Adaptive Control of Partially Unknown Linear Continuous-time Systems with State Delay, Rohollah Moghadam, Vignesh Narayanan, and Sarangapani Jagannathan
The Lognometer: A New Normalized and Computerized Device for Assessing the Neurodevelopment of Fine Motor Control in Children, Christian O'Reilly, Rejean Plamondon, and Nadir Faci
Explainable Pathfinding for Inscrutable Planners with Inductive Logic Programming, Rojina Panta, Forest Agostinelli, Vedant Khandelwal, Biplav Srivastava, Bharath Chandra Muppasani, Kausik Lakkaraju, and Dezhi Wu
TDLR: Top (Semantic)-Down (Syntactic) Language Representation, Vipula Rawte, Megha Chakraborty, Kaushik Roy, Manas Gaur, Keyur Faldu, Prashant Kikani, Hemang Akbari, and Amit Sheth
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance, Kaushik Roy, Manas Gaur, Vipula Rawte, Ashwin Kalyan, and Amit Sheth
Process Knowledge-infused Learning for Suicidality Assessment on Social Media, Kaushik Roy, Manas Gaur, Qi Zhang, and Amit Sheth
Tutorial: Neuro-symbolic AI for Mental Healthcare, Kaushik Roy, Usha Lokala, Manas Gaur, and Amit Sheth
WISE Causal Models: Wisdom Infused Semantics Enhanced Causal Models - A Study in Suicidality Diagnosis, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Sanjay Chandrasekar, and Amit Sheth
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, and Amit P. Sheth
A Risk-Averse Mechanism for Suicidality Assessment on Social Media, Ramit Sawhney, Atula Tejaswi Neerkaje, and Manas Gaur
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection, Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, and Amit Sheth
Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts, Adam Tsakalidis, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim, Federico Nanni, Philip Resnik, Manas Gaur, Kaushik Roy, Becky Inkster, Jeff Leintz, and Maria Liakata
Tutorial: Knowledge-infused Learning for Autonomous Driving (KL4AD), Ruwan Wickramarachchi, Cory Henson, Sebastian Monka, Daria Stepanova, and Amit Sheth
Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems, Ruwan Wickramarachchi, Cory Henson, and Amit Sheth
Towards Efficient Scoring of Student-generated Long-form Analogies in STEM, Thilini Wijesiriwardene, Ruwan Wickramarachchi, Valerie L. Shalin, and Amit P. Sheth
Comparing Symbolic and Connectionist Algorithms for Correlating the Age of Healthy Children with Sigma-Lognormal Neuromuscular Parameters, Zigeng Zhang, Christian O'Reilly, and Rejean Plamondon
Submissions from 2021
Cognitive Digital Twins for Smart Manufacturing, Muhammad Intizar Ali, Pankesh Patel, John G. Breslin, Ramy Harik, and Amit Sheth
A Fault Tolerant Workflow Composition and Deployment Automation IoT Framework in a Multi Cloud Edge Environment, Osama Almurshed, Omer Rana, Yinhao Li, Rajiv Ranjan, Devki Nandan Jha, Pankesh Patel, Prem Prakash Jayaraman, and Schahram Dustdar
A CdZnTeSe Gamma Spectrometer Trained by Deep Convolutional Neural Network for Radioisotope Identification, Sandeep K. Chaudhuri, Joshua W. Kleppinger, Ritwik Nag, Kaushik Roy, Rojina Panta, Forest Agostinelli, Amit Sheth, Utpal N. Roy, Ralph B. James, and Krishna C. Mandal
Towards Designing Computer Vision-based Explainable-AI Solution: A Use Case of Livestock Mart Industry, Devam Dave, Het Naik, Smiti Singhal, Rudresh Dwivedi, and Pankesh Patel
NLP is Not Enough - Contextualization of User Input in Chatbots, Nathan Dolbir, Triyasha Dastidar, and Kaushik Roy
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS, Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonathan Beich, Jyotishman Pathak, and Amit Sheth
Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable?, Manas Gaur, Keyur Faldu, and Amit Sheth
"Who can help me?'': Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit, Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, and Amit Sheth
Personalized Digital Phenotype Score, Healthcare Management and Intervention Strategies using Knowledge Enabled Digital Health Framework for Pediatric Asthma, Utkarshani Jaimini and Amit Sheth
Cyber Social Threats 2021: AI, Covid-19 Vaccine, Detection and Countering Strategies, Ugur Kursuncu, Jeremy Blackburn, Yelena Mejova, Megan Squire, and Amit Sheth
“Etazene, safer than heroin and fentanyl”: Non-fentanyl Novel Synthetic Opioid Listings on one Darknet Market, Francois R. Lamy, Raminta Daniulaityte, Monica J. Barratt, and Usha Lokala
Social Media Data for Exploring the Association between Cannabis Use and Depression, Usha Lokala, Raminta Daniulaityte, Robert Carlson, Francois Lamy, Shweta Yadav, and Amit Sheth
A Generic Dialog Agent for Information Retrieval Based on Automated Planning Within a Reinforcement Learning Platform, Vishal Pallagani and Biplav Srivastava
"Is depression related to cannabis?": A Knowledge-infused Model for Entity and Relation Extraction with Limited Supervision, Kaushik Roy, Usha Lokala, Vedant Khandelwal, and Amit P. Sheth
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits, Kaushik Roy, Qi Zhang, Manas Gaur, and Amit Sheth
Knowledge Infused Policy Gradients for Adaptive Pandemic Control, Kaushik Roy, Qi Zhang, Manas Gaur, and Amit P. Sheth
Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key, Amit Sheth, Valerie Shalin, and Ugur Kursuncu
The Duality of Data and Knowledge Across the Three Waves of AI, Amit Sheth and Krishnaprasad Thirunaravan
OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices, Bharath Sudharsan, Sweta Malik, Peter Corcoran, Pankesh Patel, John G. Breslin, and Muhammad Intizar Ali
Machine Learning Meets Internet of Things: From Theory to Practice, Bharath Sudharsan and Pankesh Patel
Enabling Machine Learning on the Edge using SRAM Conserving Efficient Neural Networks Execution Approach, Bharath Sudharsan, Pankesh Patel, John G. Breslin, and Muhammad Intizar Ali
SRAM Optimized Porting and Execution of Machine Learning Classifiers on MCU-based IoT Devices: Demo Abstract, Bharath Sudharsan, Pankesh Patel, John G. Breslin, and Muhammad Intizar Ali
Demo Abstract: Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT, Bharath Sudharsan, Pankesh Patel, Abdul Wahid, Muhammad Yahya, John G. Breslin, and Muhammad Intizar Ali
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness, Mohammadamin Tavakoli, Forest Agostinelli, and Pierre Baldi
Knowledge-infused Learning for Entity Prediction in Driving Scenes, Ruwan Wickramarachchi, Cory Henson, and Amit Sheth
Towards Semantic Integration of Machine Vision Systems to Aid Manufacturing Event Understanding, Kaishu Xia, Clint Saidy, Max Kirkpatrick, Noble Anumbe, Amit Sheth, and Ramy Harik
"When They Say Weed Causes Depression, but It's Your Fav Antidepressant": Knowledge-Aware Attention Framework for Relationship Extraction, Shweta Yadav, Usha Lokala, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Francois Lamy, and Amit Sheth
Assessing the Severity of Health States based on Social Media Posts, Shweta Yadav, Joy Prakash Sain, Amit P. Sheth, Asif Ekbal, Sriparna Saha, and Pushpak Bhattacharyya
A Meta-Gradient Approach to Learning Cooperative Multi-Agent Communication Topology, Qi Zhang and Dingyang Chen
Submissions from 2020
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data, Parth Asawa, Manas Gaur, Kaushik Roy, and Amit P. Sheth
Fitted Q-Learning for Relational Domains, Srijita Das, Sriraam Natarajan, Kaushik Roy, Ron Parr, and Kristian Kersting
Explainable AI Using Knowledge Graphs, Manas Gaur, Ankit Desai, Keyur Faldu, and Amit Sheth
Psychidemic: Measuring the Spatio-Temporal Psychological Impact of Novel Choronovirus with a Social Quality Index, Manas Gaur, Ugur Kursuncu, Vedant Khandelwal, Vishal Pallagani, Valerie Shalin, and Amit Sheth
eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection, Ramnath Kumar, Shweta Yadav, Raminta Daniuaityte, Francois Lamy, Usha Lokala, Krishnaprasad Thirunarayan, usha lokala, and Amit Sheth
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning, Ugur Kursuncu, Manas Gaur, and Amit Sheth
Cyber Social Threats 2020 Workshop Meta-Report: COVID-19, Challenges, Methodological and Ethical Considerations, Ugur Kursuncu, Yelena Mejova, Jeremy Blackburn, and Amit Sheth
Listed for Sale: Analyzing Data on Fentanyl, Fentanyl Analogs and Other Novel Synthetic Opioids on One Cryptomarket, Francois Lamy, Raminta Daniulaityte, Monica J Barratt, Usha Lokala, Amit Sheth, and Robert G Carlson
DAO: An Ontology for Substance Use Epidemiology on Social Media and Dark Web, Usha Lokala, Raminta Daniulaityte, Francois Lamy, Manas Gaur, Krishnaprasad Thirunarayan, Ugur Kursuncu, and Amit P. Sheth
Knowledge Graphs to Empower Humanity-Inspired AI Systems, Hemant Purohit, Valerie L. Shalin, and Amit P. Sheth
Analyzing and Learning the Language for Different Types of Harassment, Mohammadreza Rezvan, Saeedeh Shekarpour, Faisal Alshargi, Krishnaprasad Thirunarayan, Valerie L. Shalin, and Amit P. Sheth
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice, Ruwan Wickramarachchi, Cory Henson, and Amit Sheth
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter, Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, and I. Budak Arpinar
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework, Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit P. Sheth, and Jeremiah Schumm
Medical Knowledge-enriched Textual Entailment Framework, Shweta Yadav, Vishal Pallagani, and Amit P. Sheth
Assessing the Severity of Health States Based on Social Media Posts, Shweta Yadav, Joy Prakash Sain, Amit P. Sheth, Asif Ekbal, Sriparna Saha, and Pushpak Bhattacharyya
Multimodal Mental Health Analysis in Social Media, Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, William Romine, Amit P. Sheth, Amir Hassan Monadjemi, Krishnaprasad Thirunarayan, John M. Meddar, Annie Myers, Jyotishman Pathak, and Pascal Hitzler
Efficient Querying for Cooperative Probabilistic Commitments, Qi Zhang, Edmund H. Durfee, and Satinder Singh
Submissions from 2019
Question Answering for Suicide Risk Assessment Using Reddit, Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit Sheth, Randon S. Welton, and Jyotishman Pathak
Who Should Be the Captain This Week? Leveraging Inferred Diversity-Enhanced Crowd Wisdom for a Fantasy Premier League Captain Prediction, Shreyansh Bhatt, Keke Chen, Valerie L. Shalin, Amit Sheth, and Brandon Minnery
Knowledge Graph Enhanced Community Detection and Characterization, Shreyansh Bhatt, Swati Padhee, Amit Sheth, Keke Chen, Valerie Shalin, Derek Doran, and Brandon Minnery
Social Determinants of Health in Mental Health Care and Research: A Case for Greater Inclusion, Joseph J. Deferio, Scott Breitinger, Dhruv Khullar, Amit Sheth, and Jyotishman Pathak
Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention, Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randon S. Welton, and Jyotishman Pathak
Empathi: An Ontology for Emergency Managing and Planning About Hazard Crisis, Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, and Amit Sheth
Multimodal Emotion Classification, Anurag Illendula and Amit Sheth
kBot: Knowledge-Enabled Personalized Chatbot for Asthma Self-Management, Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Krishnaprasad Thirunarayanan, and Amit Sheth
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate, Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, and Amit Sheth
Global Trends, Local Harms: Availability of Fentanyl-Type Drugs on the Dark Web and Accidental Overdoses in Ohio, Usha Lokala, Francois Lamy, Raminta Daniulaityte, Amit Sheth, Ramzi Nahhas, Jason Roden, Shweta Yadav, and Robert Carlson
Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic, Ravali Mamidi, Michele Miller, Tanvi Banerjee, William Romine, and Amit Sheth
A Pipeline for Disaster Response and Relief Coordination, Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan Kubatko, Desheng Liu, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, and Srinivasan Parthasarathy
Predicting Public Opinion on Drug Legalization: Social Media Analysis and Consumption Trends, Farahnaz Golrooy Motlagh, Saeedeh Shekarpour, Amit Sheth, Krishnaprasad Thirunarayan, and Michael L. Raymer
CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation on Relations, Saeedeh Shekarpour, Faisal Alshargi, Krishnaprasad Thirunaravan, Valerie L. Shalin, and Amit Sheth
Knowledge Graphs and Knowledge Networks: The Story in Brief, Amit Sheth, Swati Padhee, and Amelie Gyrard
Cognitive Services and Intelligent Chatbots: Current Perspectives and Special Issue Introduction, Amit Sheth, Hong Yung Yip, Arun Iyengar, and Paul Tepper
Extending Patient-Chatbot Experience with Internet-of-Things and Background Knowledge: Case Studies with Healthcare Applications, Amit Sheth, Hong Yung Yip, and Saeedeh Shekarpour
Processing Social Media in Real-time, Damiano Spina, Arkaitz Zubiaga, Amit Sheth, and Markus Strohmaier
Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational Study, Revathy Venkataramanan, Krishnaprasad Thirunarayan, Utkarshani Jaimini, Dipesh Kadariya, Hong Yung Yip, Maninder Kalra, and Amit Sheth
Submissions from 2018
A Practical Incremental Learning Framework For Sparse Entity Extraction, Hussein Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, and Amit Sheth
Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media, 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 Sheth, Chenhao Tan, Samuel Hardman Taylor, and Sanjaya Wijeratne
Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media, Shreyansh Bhatt, Manas Gaur, Beth Bullemer, Valerie Shalin, Amit Sheth, and Brandon Minnery
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence, Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sebastien Gaboury, Christopher Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit Sheth, Ilan Shimshoni, Howie Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William Streilein, Georgios Theocharous, K. Brent Venable, Neal Wagner, and Anna Zamansky
Next-Generation Smart Environments: From System of Systems to Data Ecosystems, Edward Curry and Amit Sheth
A Twitter-Based Survey on Marijuana Concentrate Use, Raminta Daniulaityte, Mussa Y. Zatreh, Francois R. Lamy, Ramzi W. Nahhas, Silvia S. Martins, Amit Sheth, and Robert G. Carlson