2 citations · 3 across the 4 of their papers we have counts for
5 papers
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…
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…