Revathy Venkataramanan

According to our database, Revathy Venkataramanan authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, May, 2025

A Survey on Food Ingredient Substitutions.

Hyunwook Kim, Revathy Venkataramanan, Amit P. Sheth

CoRR, January, 2025

Dynamic Multimodal Process Knowledge Graphs: A Neurosymbolic Framework for Compositional Reasoning.

Revathy Venkataramanan, Chathurangi Shyalika, Amit P. Sheth

IEEE Internet Comput., 2025

Composite AI With Custom, Compact, Neurosymbolic Models: The Emergent Enterprise Artificial Intelligence Paradigm.

Amit P. Sheth, Kaushik Roy, Revathy Venkataramanan, Venkatesan Nadimuthu, Chathurangi Shyalika

IEEE Internet Comput., 2025

Pic2Prep: A Multimodal Conversational Agent for Cooking Assistance.

Renjith Prasad Kaippilly Mana, Chathurangi Shyalika, Revathy Venkataramanan, Darssan Eswaramoorthi, Amit P. Sheth

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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, Amit P. Sheth

Frontiers Big Data, 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

Neurosymbolic AI Approach to Attribution in Large Language Models.

Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth

IEEE Intell. Syst., 2024

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

Proceedings of the International Conference on Machine Learning and Applications, 2024

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

Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes.

Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety.

Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal

IEEE Internet Comput., 2022

Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety.

Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal

CoRR, 2022

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

2019

kBot: Knowledge-Enabled Personalized Chatbot for Asthma Self-Management.

Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Krishnaprasad Thirunarayan, Amit P. Sheth

Proceedings of the IEEE International Conference on Smart Computing, 2019

2018

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