23 citations · 23 across the 8 of their papers we have counts for
9 papers
CausalPulse: An Industrial-Grade Neurosymbolic Multi-Agent Copilot for Causal Diagnostics in Smart Manufacturing
Chathurangi Shyalika, Utkarshani Jaimini, Cory Henson +1
Modern manufacturing environments demand real-time, trustworthy, and interpretable root-cause insights to sustain productivity and quality. Traditional analytics pipelines often tr…
CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing
Chathurangi Shyalika, Aryaman Sharma, Fadi El Kalach +4
Modern manufacturing environments demand not only accurate predictions but also interpretable insights to process anomalies, root causes, and potential interventions. Existing AI s…
Influence of Backdoor Paths on Causal Link Prediction
Utkarshani Jaimini, Cory Henson, Amit Sheth
The current method for predicting causal links in knowledge graphs uses weighted causal relations. For a given link between cause-effect entities, the presence of a confounder affe…
HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph
Utkarshani Jaimini, Cory Henson, Amit Sheth
Causal networks are often incomplete with missing causal links. This is due to various issues, such as missing observation data. Recent approaches to the issue of incomplete causal…
CausalLP: Learning causal relations with weighted knowledge graph link prediction
Utkarshani Jaimini, Cory Henson, Amit P. Sheth
Causal networks are useful in a wide variety of applications, from medical diagnosis to root-cause analysis in manufacturing. In practice, however, causal networks are often incomp…
Social network modeling and applications, a tutorial
Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi
Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning
Utkarshani Jaimini, Amit Sheth
Humans use causality and hypothetical retrospection in their daily decision-making, planning, and understanding of life events. The human mind, while retrospecting a given situatio…
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…
How will the Internet of Things enable Augmented Personalized Health?
Amit Sheth, Utkarshani Jaimini, Hong Yung Yip
Internet-of-Things (IoT) is profoundly redefining the way we create, consume, and share information. Health aficionados and citizens are increasingly using IoT technologies to trac…