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Submissions from 2024

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Optimal Trajectory Tracking for Uncertain Linear Discrete‐time Systems Using Time‐varying Q‐learning, Maxwell Geiger, Vignesh Narayanan, and Sarangapani Jagannathan

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Causal Neuro-Symbolic AI: A Synergy Between Causality and Neuro-Symbolic Methods, Utkarshani Jaimini, Cory Henson, and Amit Sheth

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Personalized Bayesian Inference for Explainable Healthcare Management and Intervention, Utkarshani Jaimini, Krishnaprasad Thirunaravan, Maninder Kalra, Robin Dawson, and Amit Sheth

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Duality of Ensemble Systems through Moment Representations, Vignesh Narayanan, Wei Zhang, and Jr-Shin Li

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K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries, Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, and Manas Gaur

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Ontolog Summit 2024 Talk Report: Healthcare Assistance Challenges-Driven Neurosymbolic AI, Kaushik Roy

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Tutorial: Knowledge-infused Artificial Intelligence for Mental Healthcare, Kaushik Roy

GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews, Kaushik Roy, Vedant Khandelwal, Harshul Surana, Valerie Lookingbill, Amit Sheth, and Heather Heckman

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Causal Event Graph-Guided Language-based Spatiotemporal Question Answering, Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan, and Amit Sheth

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Neurosymbolic Value-Inspired AI (Why, What, and How), Amit Sheth and Kaushik Roy

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Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge, Yuxin Zi, Kaushik Roy, Vignesh Narayanan, and Amit Sheth

RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding, Yuxin Zi, Hariram Veeramani, Kaushik Roy, and Amit Sheth

Submissions from 2023

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A Semantic Web Approach to Fault Tolerant Autonomous Manufacturing, Fadi El Kalach, Ruwan Wickramarachchi, Ramy Harik, and Amit Sheth

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Neural Mechanisms of Language Development in Infancy, Scott Huberty, Christian O'Reilly, Virginia Carter Leno, Mandy Steiman, Sara J. Webb, Mayada Elsabbagh, and The BASIS Team

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An Ontology Design Pattern for Representing Causality, Utkarshani Jaimini, Cory Henson, and Amit Sheth

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ACM web conference 2023, Usha Lokala, Kaushik Roy, Utkarshani Jaimini, and Amit Sheth

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EEG Functional Connectivity in Infants at Elevated Familial Likelihood for Autism Spectrum Disorder, Christian O'Reilly, Scott Huberty, Stefon van Noordt, James Desjardins, Nicky Wright, Julie Scorah, Sara Jane Webb, Mayada Elsabbagh, and BASIS Team

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Model-Driven Analysis of ECG Using Reinforcement Learning, Christian O'Reilly, Sai Durga Rithvik Oruganti, Deepa Tilwani, and Jessica Bradshaw

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Lognormality: An Open Window on Neuromotor Control, Réjean Plamondon, Asma Bensalah, Karina Lebel, Romeo Salameh, Guillaume Séguin de Broin, Christian O'Reilly, Mickael Begon, Olivier Desbiens, Youssef Beloufa, Aymeric Guy, Daniel Berio, Frederic Fol Leymarie, Simon-Pierre Boyoguéno-Bidias, Andreas Fischer, Zigeng Zhang, Marie-France Morin, Denis Alamargot, Céline Rémi, Nadir Faci, Raphaëlle Fortin, Marie-Noëlle Simard, and Caroline Bazinet

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Cooperative Deep Q -Learning Framework for Environments Providing Image Feedback, Krishnan Raghavan, Vignesh Narayanan, and Sarangapani Jagannathan

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The Troubling Emergence of Hallucination in Large Language Models--An Extensive Definition, Quantification, and Prescriptive Remediations, Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, S.M Towhidul Islam Tonmoy, Aman Chadha, Amit Sheth, and Amitava Das

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Reducing Brain Kynurenic Acid Synthesis Precludes Kynurenine-Induced Sleep Disturbances, Katherine M. Rentschler, Snezana Milosavljevic, Annalisa M. Baratta, Courtney J. Wright, Maria V. Piroli, Zachary Tentor, Homayoun Valafar, Christian O'Reilly, and Ana Pocivavsek

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Tutorial - Shodhguru Labs: Knowledge-infused Artificial Intelligence for Mental Healthcare, Kaushik Roy

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Tutorial - Shodhguru Labs: Optimization and Hyperparameter Tuning for Neural Networks, Kaushik Roy

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Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust, Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, and Amit Sheth

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ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, and Amit Sheth

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Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case, Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, and Amit Sheth

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Process Knowledge-Infused Learning for Clinician-Friendly Explanations, Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, and Amit Sheth

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Neurosymbolic Artificial Intelligence (Why, What, and How), Amit Sheth, Kaushik Roy, and Manas Gaur

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L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models*, Aidin Shiri, Kaushik Roy, Amit Sheth, and Manas Gaur

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ECG Recordings as Predictors of Very Early Autism Likelihood: A Machine Learning Approach, Deepa Tilwani, Jessica Bradshaw, Amit Sheth, and Christian O'Reilly

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IMKG: The Internet Meme Knowledge Graph, Riccardo Tommasini, Filip Illievski, and Thilini Wijesiriwardene

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Ki-Cook: Clustering Multimodal Cooking Representations Through Knowledge-infused Learning, Revathy Venkataramanan, Swati Padhee, Saini Rohan Rao, Ronak Kaoshik, Anirudh Sundara Rajan, and Amit Sheth

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Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes, Revathy Venkataramanan, Kaushik Roy, Kanak Ray, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, and Amit Sheth

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Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability, Revathy Venkataramanan, Aalap Tripathy, Martin Foltin, Hong Yung Yip, Annmary Justine, and Amit Sheth

CLUE-AD: A Context-Based Method for Labeling Unobserved Entities in Autonomous Driving Data, Ruwan Wickramarachchi, Cory Henson, and Amit Sheth

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ANALOGICAL - A New Benchmark for Analogy of Long Text for Large Language Models, Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal G. Gajera, Shreeyash Mukul Gowaikar, Chandan Gupta, Aman Chadha, Aishwarya Naresh Reganti, Amit Sheth, and Amitava Das

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Moment-Based Reinforcement Learning for Ensemble Control, Yao-Chi Yu, Vignesh Narayanan, and Jr-Shin Li

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Dynamic Function Learning through Control of Ensemble Systems, Wei Zhang, Vignesh Narayanan, and Jr-Shin Li

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IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations, Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, and Amit Sheth

Submissions from 2022

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Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision, Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, and Amit Sheth

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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

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Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games, Dingyang Chen, Yile Li, and Qi Zhang

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Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games, Dingyang Chen, Qi Zhang, and Thinh T. Doan

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Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa, Tarun Garg, Kaushik Roy, and Amit Sheth

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ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs, Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, and Hongxia Jin

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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

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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

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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

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CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning, Utkarshani Jaimini and Amit Sheth

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MetaverseKG: Knowledge Graph for Engineering and Design Application in Industrial Metaverse, Utkarshani Jaimini, Tongtao Zhang, and Georgia Olympia Brikis

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iMetaverseKG: Industrial Metaverse Knowledge Graph to Promote Interoperability in Design and Engineering Applications, Utkarshani Jaimini, Tongtao Zhang, Georgia Olympia Brikis, and Amit Sheth

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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

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Interpretable Design of Reservoir Computing Networks Using Realization Theory, Wei Miao, Vignesh Narayanan, and Jr-Shin Li

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Event-triggered Optimal Adaptive Control of Partially Unknown Linear Continuous-time Systems with State Delay, Rohollah Moghadam, Vignesh Narayanan, and Sarangapani Jagannathan

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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

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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

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TDLR: Top (Semantic)-Down (Syntactic) Language Representation, Vipula Rawte, Megha Chakraborty, Kaushik Roy, Manas Gaur, Keyur Faldu, Prashant Kikani, Hemang Akbari, and Amit Sheth

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ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Allen, and Amit Sheth

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Knowledge-infused Reinforcement Learning, Kaushik Roy, Manas Gaur, Qi Zhang, and Amit Sheth

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Process Knowledge-infused Learning for Suicidality Assessment on Social Media, Kaushik Roy, Manas Gaur, Qi Zhang, and Amit Sheth

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Tutorial: Neuro-symbolic AI for Mental Healthcare, Kaushik Roy, Usha Lokala, Manas Gaur, and Amit Sheth

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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

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KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, and Amit P. Sheth

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A Risk-Averse Mechanism for Suicidality Assessment on Social Media, Ramit Sawhney, Atula Tejaswi Neerkaje, and Manas Gaur

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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

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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

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Tutorial: Knowledge-infused Learning for Autonomous Driving (KL4AD), Ruwan Wickramarachchi, Cory Henson, Sebastian Monka, Daria Stepanova, and Amit Sheth

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Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems, Ruwan Wickramarachchi, Cory Henson, and Amit Sheth

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Towards Efficient Scoring of Student-generated Long-form Analogies in STEM, Thilini Wijesiriwardene, Ruwan Wickramarachchi, Valerie L. Shalin, and Amit P. Sheth

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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

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Cognitive Digital Twins for Smart Manufacturing, Muhammad Intizar Ali, Pankesh Patel, John G. Breslin, Ramy Harik, and Amit Sheth

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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

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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

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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

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NLP is Not Enough - Contextualization of User Input in Chatbots, Nathan Dolbir, Triyasha Dastidar, and Kaushik Roy

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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

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Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable?, Manas Gaur, Keyur Faldu, and Amit Sheth

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Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI, Manas Gaur, Kalpa Gunaratna, Shreyansh Bhatt, and Amit Sheth

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"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

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Personalized Digital Phenotype Score, Healthcare Management and Intervention Strategies using Knowledge Enabled Digital Health Framework for Pediatric Asthma, Utkarshani Jaimini and Amit Sheth

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Cyber Social Threats 2021: AI, Covid-19 Vaccine, Detection and Countering Strategies, Ugur Kursuncu, Jeremy Blackburn, Yelena Mejova, Megan Squire, and Amit Sheth

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“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

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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

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A Generic Dialog Agent for Information Retrieval Based on Automated Planning Within a Reinforcement Learning Platform, Vishal Pallagani and Biplav Srivastava

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"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

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Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits, Kaushik Roy, Qi Zhang, Manas Gaur, and Amit Sheth

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Knowledge Infused Policy Gradients for Adaptive Pandemic Control, Kaushik Roy, Qi Zhang, Manas Gaur, and Amit P. Sheth

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Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key, Amit Sheth, Valerie Shalin, and Ugur Kursuncu

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The Duality of Data and Knowledge Across the Three Waves of AI, Amit Sheth and Krishnaprasad Thirunaravan

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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

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Machine Learning Meets Internet of Things: From Theory to Practice, Bharath Sudharsan and Pankesh Patel

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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

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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

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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

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SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness, Mohammadamin Tavakoli, Forest Agostinelli, and Pierre Baldi

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Knowledge-infused Learning for Entity Prediction in Driving Scenes, Ruwan Wickramarachchi, Cory Henson, and Amit Sheth

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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

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"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

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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