On the public citation graph

A Causality-Enhanced Explainable Artificial Intelligence Framework for Predictive Maintenance: Taxonomies and Large Language Model-Powered Explanations and Recommendations

https://doi.org/10.2139/ssrn.6592801
0 signed · 64 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/humu.22161openalex-snapshot
Use of support vector machines for disease risk prediction in genome-wide association studies: Concerns and opportunities
inferredcites →https://doi.org/10.1002/sim.5777openalex-snapshot
On use of partial area under the ROC curve for evaluation of diagnostic performance
inferredcites →https://doi.org/10.1002/widm.70015openalex-snapshot
The Role of Causality in Explainable Artificial Intelligence
inferredcites →https://doi.org/10.1007/978-3-031-63800-8_6openalex-snapshot
Causality-Aware Local Interpretable Model-Agnostic Explanations
inferredcites →https://doi.org/10.1007/s00170-021-08551-9openalex-snapshot
Selecting an appropriate supervised machine learning algorithm for predictive maintenance
inferredcites →https://doi.org/10.1007/s00170-025-15419-9openalex-snapshot
LightGBM and CatBoost for tool wear prediction in milling with drag-finished cutting edges
inferredcites →https://doi.org/10.1007/s10618-022-00831-6openalex-snapshot
Counterfactual explanations and how to find them: literature review and benchmarking
inferredcites →https://doi.org/10.1007/s10618-022-00867-8openalex-snapshot
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
inferredcites →https://doi.org/10.1007/s10994-025-06855-5openalex-snapshot
Causality from bottom to top: a survey
inferredcites →https://doi.org/10.1007/s11042-023-17666-yopenalex-snapshot
Navigating the landscape of concept-supported XAI: Challenges, innovations, and future directions
inferredcites →https://doi.org/10.1007/s13042-025-02654-5openalex-snapshot
Comparative analysis of CatBoost, LightGBM, XGBoost, RF, and DT methods optimised with PSO to estimate the number of k-barriers for intrusion detection in wireless sensor networks
inferredcites →https://doi.org/10.1007/s41660-024-00392-9openalex-snapshot
Identifying Critical Factors Affecting Human Error Probability in Power Plant Operations and Their Sustainability Implications
inferredcites →https://doi.org/10.1007/s41872-023-00218-6openalex-snapshot
Reliability estimation of manufacturing system with four human operators
inferredcites →https://doi.org/10.1007/s42452-021-04148-9openalex-snapshot
Comparison of feature importance measures as explanations for classification models
inferredcites →https://doi.org/10.1016/j.compchemeng.2020.106970openalex-snapshot
Feature engineering in big data analytics for IoT-enabled smart manufacturing – Comparison between deep learning and statistical learning
inferredcites →https://doi.org/10.1016/j.engappai.2025.110141openalex-snapshot
Multi-Modal Explainable Artificial Intelligence for neural network-based tool wear detection in machining
inferredcites →https://doi.org/10.1016/j.engappai.2025.110362openalex-snapshot
Interpreting injection molding quality defect using explainable artificial intelligence and analysis of variance
inferredcites →https://doi.org/10.1016/j.engappai.2025.110509openalex-snapshot
Applications of artificial intelligence in industry 4.0 and smart manufacturing
inferredcites →https://doi.org/10.1016/j.inffus.2019.12.012openalex-snapshot
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
inferredcites →https://doi.org/10.1016/j.inffus.2021.11.015openalex-snapshot
Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI)
inferredcites →https://doi.org/10.1016/j.inffus.2024.102301openalex-snapshot
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
inferredcites →https://doi.org/10.1016/j.jmapro.2022.06.027openalex-snapshot
Physics-based modeling and information-theoretic sensor and settings selection for tool wear detection in precision machining
inferredcites →https://doi.org/10.1016/j.jmsy.2021.08.009openalex-snapshot
Machine learning-based real-time monitoring system for smart connected worker to improve energy efficiency
inferredcites →https://doi.org/10.1016/j.measurement.2024.115303openalex-snapshot
Data-driven prediction of tool wear using Bayesian regularized artificial neural networks
inferredcites →https://doi.org/10.1016/j.rcim.2024.102883openalex-snapshot
A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing
inferredcites →https://doi.org/10.1017/cbo9780511803161openalex-snapshot
Causality
inferredcites →https://doi.org/10.1037/0033-295x.106.4.643openalex-snapshot
Information foraging.
inferredcites →https://doi.org/10.1037/h0043158openalex-snapshot
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
inferredcites →https://doi.org/10.1038/s41586-024-08328-6openalex-snapshot
Accurate predictions on small data with a tabular foundation model
inferredcites →https://doi.org/10.1057/ejis.2012.26openalex-snapshot
A method for taxonomy development and its application in information systems
inferredcites →https://doi.org/10.1080/17470215208416600openalex-snapshot
On the Rate of Gain of Information
inferredcites →https://doi.org/10.1097/jto.0b013e3181ec173dopenalex-snapshot
Receiver Operating Characteristic Curve in Diagnostic Test Assessment
inferredcites →https://doi.org/10.1108/cr-12-2020-0160openalex-snapshot
Corporate social responsibility, green innovation and competitiveness – causality in manufacturing
inferredcites →https://doi.org/10.1109/access.2025.3547838openalex-snapshot
Fault Detection in Photovoltaic Systems Using a Machine Learning Approach
inferredcites →https://doi.org/10.1109/comnetsat59769.2023.10420613openalex-snapshot
Predictive Maintenance Application on Machine Overstrain Failure with Node-Red and Isolation Forest Anomaly Detection
inferredcites →https://doi.org/10.1109/jsen.2023.3331100openalex-snapshot
Early Fault Classification in Rotating Machinery With Limited Data Using TabPFN
inferredcites →https://doi.org/10.1109/tii.2024.3361489openalex-snapshot
An Interrogative Survey of Explainable AI in Manufacturing
inferredcites →https://doi.org/10.1109/tmech.2020.3049046openalex-snapshot
Feature Analyses and Modeling of Lithium-Ion Battery Manufacturing Based on Random Forest Classification
inferredcites →https://doi.org/10.1109/tnnls.2025.3528321openalex-snapshot
FairXAI - A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning
inferredcites →https://doi.org/10.1109/wacv51458.2022.00393openalex-snapshot
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
inferredcites →https://doi.org/10.1111/j.1468-0084.2012.00710.xopenalex-snapshot
Causal Inference by Independent Component Analysis: Theory and Applications*
inferredcites →https://doi.org/10.1136/jech-2022-219267openalex-snapshot
Causal inference and effect estimation using observational data
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-snapshot
XGBoost
inferredcites →https://doi.org/10.1145/3442188.3445899openalex-snapshot
Algorithmic Recourse
inferredcites →https://doi.org/10.1145/3448016.3458455openalex-snapshot
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals
inferredcites →https://doi.org/10.1145/3624724openalex-snapshot
Talking about Large Language Models
inferredcites →https://doi.org/10.1177/0272989x8900900307openalex-snapshot
Analyzing a Portion of the ROC Curve
inferredcites →https://doi.org/10.1177/16878132241229314openalex-snapshot
Computer numerical control machine tool wear monitoring through a data-driven approach
inferredcites →https://doi.org/10.1186/1471-2288-5-28openalex-snapshot
Causal inference based on counterfactuals
inferredcites →https://doi.org/10.1186/s12874-024-02198-2openalex-snapshot
Methods of determining optimal cut-point of diagnostic biomarkers with application of clinical data in ROC analysis: an update review
inferredcites →https://doi.org/10.1201/9781439800225openalex-snapshot
ROC Curves for Continuous Data
inferredcites →https://doi.org/10.18517/ijaseit.15.1.12407openalex-snapshot
Evaluating Machine Learning and Deep Learning Algorithms for Predictive Maintenance of Hydraulic Systems
inferredcites →https://doi.org/10.18517/ijaseit.7.2.2141openalex-snapshot
A Review of Minimum Quantity Lubrication Technique with Nanofluids Application in Metal Cutting Operations
inferredcites →https://doi.org/10.2202/1557-4679.1203openalex-snapshot
An Introduction to Causal Inference
inferredcites →https://doi.org/10.2466/pms.1996.82.3c.1187openalex-snapshot
Hierarchical Menu Design: Breadth, Depth, and Task Complexity
inferredcites →https://doi.org/10.30574/wjaets.2023.8.1.0054openalex-snapshot
A comparative study of several classification metrics and their performances on data
inferredcites →https://doi.org/10.3233/aac-230015openalex-snapshot
Explanation–Question–Response dialogue: An argumentative tool for explainable AI
inferredcites →https://doi.org/10.3389/fmtec.2022.972712openalex-snapshot
A systematic review on machine learning methods for root cause analysis towards zero-defect manufacturing
inferredcites →https://doi.org/10.3390/agriengineering7060173openalex-snapshot
Utilizing TabPFN Transformer with IoT Environmental Data for Early Prediction of Grapevine Diseases
inferredcites →https://doi.org/10.3390/app15126517openalex-snapshot
Semi-Supervised Taxonomy Expansion and Completion in Dynamic Taxonomies
inferredcites →https://doi.org/10.3390/pr13040961openalex-snapshot
AI-Driven Stacking Ensemble for Predicting Total Power Output of Wave Energy Converters: A Data-Driven Approach to Renewable Energy Processes
inferredcites →https://doi.org/10.4097/kja.21209openalex-snapshot
Receiver operating characteristic curve: overview and practical use for clinicians
inferredcites →https://doi.org/10.5220/0010761500003116openalex-snapshot
Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users
inferredcites →https://doi.org/10.59511/riestech.v1i01.6openalex-snapshot
Machine Predictive Maintenance by Using Support Vector Machines
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.