Determination of Personalized Asthma Triggers from Evidence based on Multimodal Sensing and Mobile Application. - Revathy Venkataramanan; Dipesh Kadariya; Hong Yung Yip; Utkarshani Jaimini; Krishnaprasad Thirunarayan; Maninder Kalra; Amit P. Sheth (CoRR, 2018)

kBot: Knowledge-Enabled Personalized Chatbot for Asthma Self-Management. - Dipesh Kadariya; Revathy Venkataramanan; Hong Yung Yip; Maninder Kalra; Krishnaprasad Thirunarayan; Amit P. Sheth (SMARTCOMP, 2019)

A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process. - Vishal Pallagani; Priyadharsini Ramamurthy; Vedant Khandelwal; Revathy Venkataramanan; Kausik Lakkaraju; Sathyanarayanan N. Aakur; Biplav Srivastava (CoRR, 2022)

Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. - Amit P. Sheth; Manas Gaur; Kaushik Roy 009; Revathy Venkataramanan; Vedant Khandelwal (CoRR, 2022)

Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. - Amit P. Sheth; Manas Gaur; Kaushik Roy 009; Revathy Venkataramanan; Vedant Khandelwal (IEEE Internet Comput., 2022)

Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. - Revathy Venkataramanan; Kaushik Roy 009; Kanak Raj; Renjith Prasad; Yuxin Zi; Vignesh Narayanan; Amit P. Sheth (SMC, 2023)

Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability. - Revathy Venkataramanan; Aalap Tripathy; Martin Foltin; Hong Yung Yip; Annmary Justine; Amit P. Sheth (IEEE Internet Comput., 2023)

AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines. - Renjith Prasad; Chathurangi Shyalika; Fadi El Kalach; Revathy Venkataramanan; Ramtin Zand; Ramy F. Harik; Amit P. Sheth (ICMLA, 2024)

Neurosymbolic AI Approach to Attribution in Large Language Models. - Deepa Tilwani; Revathy Venkataramanan; Amit P. Sheth (IEEE Intell. Syst., 2024)

Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning. - Revathy Venkataramanan; Swati Padhee; Saini Rohan Rao; Ronak Kaoshik; Anirudh Sundara Rajan; Amit P. Sheth (Frontiers Big Data, 2024)

Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. - Revathy Venkataramanan; Aalap Tripathy; Tarun Kumar; Sergey Serebryakov; Annmary Justine; Arpit Shah; Suparna Bhattacharya; Martin Foltin; Paolo Faraboschi; Kaushik Roy 009; Amit P. Sheth (Frontiers Big Data, 2024)

Pic2Prep: A Multimodal Conversational Agent for Cooking Assistance. - Renjith Prasad Kaippilly Mana; Chathurangi Shyalika; Revathy Venkataramanan; Darssan Eswaramoorthi; Amit P. Sheth (AAAI, 2025)

Composite AI With Custom, Compact, Neurosymbolic Models: The Emergent Enterprise Artificial Intelligence Paradigm. - Amit P. Sheth; Kaushik Roy 009; Revathy Venkataramanan; Venkatesan Nadimuthu; Chathurangi Shyalika (IEEE Internet Comput., 2025)

Dynamic Multimodal Process Knowledge Graphs: A Neurosymbolic Framework for Compositional Reasoning. - Revathy Venkataramanan; Chathurangi Shyalika; Amit P. Sheth (IEEE Internet Comput., 2025)

A Survey on Food Ingredient Substitutions. - Hyunwook Kim; Revathy Venkataramanan; Amit P. Sheth (CoRR, 2025)

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines. - Chathurangi Shyalika; Renjith Prasad; Fadi El Kalach; Revathy Venkataramanan; Ramtin Zand; Ramy F. Harik; Amit P. Sheth (CoRR, 2025)