2 citations · 4 across the 9 of their papers we have counts for
9 papers
Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes
Revathy Venkataramanan, Aditya Luthra, Venkatesan Nadimuthu +1
Several studies have evaluated the ability of Large Language Models (LLMs) for meal planning, yielding positive outcomes. These models can process natural language inputs and lever…
NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines
Chathurangi Shyalika, Renjith Prasad, Fadi El Kalach +4
In modern assembly pipelines, identifying anomalies is crucial in ensuring product quality and operational efficiency. Conventional single-modality methods fail to capture the intr…
A Survey on Food Ingredient Substitutions
Hyunwook Kim, Revathy Venkataramanan, Amit Sheth
Diet plays a crucial role in managing chronic conditions and overall well-being. As people become more selective about their food choices, finding recipes that meet dietary needs i…
Neurosymbolic AI approach to Attribution in Large Language Models
Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth
Attribution in large language models (LLMs) remains a significant challenge, particularly in ensuring the factual accuracy and reliability of the generated outputs. Current methods…
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines
Renjith Prasad, Chathurangi Shyalika, Ramtin Zand +4
Anomaly detection in manufacturing pipelines remains a critical challenge, intensified by the complexity and variability of industrial environments. This paper introduces AssemAI,…
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
Revathy Venkataramanan, Kaushik Roy, Kanak Raj +4
As people become more aware of their food choices, food computation models have become increasingly popular in assisting people in maintaining healthy eating habits. For example, f…
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety
Amit Sheth, Manas Gaur, Kaushik Roy +2
AI systems have been widely adopted across various domains in the real world. However, in high-value, sensitive, or safety-critical applications such as self-management for persona…
A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process
Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal +4
Food is not only a basic human necessity but also a key factor driving a society's health and economic well-being. As a result, the cooking domain is a popular use-case to demonstr…
Determination of Personalized Asthma Triggers from Evidence based on Multimodal Sensing and Mobile Application
Revathy Venkataramanan, Dipesh Kadariya, Hong Yung Yip +4
Objective: Asthma is a chronic pulmonary disease with multiple triggers manifesting as symptoms with various intensities. This paper evaluates the suitability of long-term monitori…