Search Results - "Causal artificial intelligence"

A comprehensive causal AI framework for analysing factors affecting energy consumption and costs in customised manufacturing.

Authors: Fekete, Tamas Petrone, Isabella Marquez Wicaksono, Hendro

Source: International Journal of Production Research. Apr2026, Vol. 64 Issue 7, p2531-2568. 38p.

A Causal XAI Diagnosis and Optimization Framework for Hot-Rolled Strip Shape Incorporating Hybrid Structure Learning.

Authors: Wu, Yuchun Xu, Pengju Li, Dongyu et al.

Source: Metals (2075-4701); Apr2026, Vol. 16 Issue 4, p401, 24p

Tackling Professorial Expert Bias: The Role of ChatGPT in Simplifying Financial Accounting Exam Texts.

Authors: Voshaar, Johannes Wecks, Janik Ole Plate, Benedikt J. et al.

Source: Issues in Accounting Education. Feb2025, Vol. 40 Issue 1, p93-123. 31p.

Speculation and retail price transmission in the frozen concentrated orange juice market: a causal machine learning analysis.

Authors: Abeltino, Alessio Pannone, Andrea Bernardini, Andrea

Source: Future Business Journal. 3/4/2026, Vol. 12 Issue 1, p1-15. 15p.

Comparing XGBoost and Double Machine Learning for Predicting the Nitrogen Requirement of Rice.

Authors: Iatrou, Miltiadis Mourelatos, Spiros Karydas, Christos

Source: Remote Sensing. Feb2026, Vol. 18 Issue 3, p420. 25p.

Subjects: Causal artificial intelligence, Nitrogen fertilizers, Crop yields, Rice, Remote sensing, Treatment effect heterogeneity, Decision support systems, Boosting algorithms

Geographic Terms: Greece

Theory Is All You Need: AI, Human Cognition, and Causal Reasoning.

Authors: Felin, Teppo Holweg, Matthias

Source: Strategy Science (INFORMS). Dec2024, Vol. 9 Issue 4, p346-371. 26p.

RESHAPING RISK: Causal AI could be about to turn risk modelling on its head, giving actuaries the power not just to anticipate the future but also to change it.

Authors: LIEN, DAVID

Source: Actuary. Mar/Apr2026, p44-48. 5p.

Quantifying the Conditional Contribution of Cement Content to Concrete Strength Using Interpretable Causal Machine Learning.

Authors: Adiguzel Tuylu, Ayse Nur Tuylu, Serkan Adiguzel, Deniz et al.

Source: Buildings (2075-5309); Mar2026, Vol. 16 Issue 5, p1059, 20p

A Multimodal Framework for Prognostic Modelling of Mental Health Treatment and Recovery Trajectories.

Authors: Ngabo-Woods, Harold Dunai, Larisa Verdú, Isabel Seguí et al.

Source: Applied Sciences (2076-3417); Jan2026, Vol. 16 Issue 2, p763, 24p

From prediction to intervention in neuropsychiatric data mining.

Authors: Wu, Yu-Jun Zhuang, Ming-Nan Xiao, Ning-Kun

Source: Medical Data Mining. 2026, Vol. 9 Issue 2, p1-3. 3p.

A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics.

Authors: Eshkiki, Hassan Tanhaei, Farinaz Caraffini, Fabio et al.

Source: Applied Sciences (2076-3417); Dec2025, Vol. 15 Issue 24, p12934, 32p

DIGITAL TWIN-BASED INTELLIGENT MONITORING OF INDUSTRIAL SYSTEMS USING EXPLAINABLE AI.

Authors: Kousalya, R. Radhika, V. Thangamani, C. et al.

Source: Archives for Technical Sciences / Arhiv za Tehnicke Nauke. 2025, Issue 34, p1256-1272. 17p.

Neutrosophy, Causal AI, and Web3: combo for complex decision-making.

Authors: Barbosa, Ranulfo P. Smarandache, Florentin Leyva Vázquez, Maikel Y. et al.

Source: Neutrosophic Sets & Systems. 2025, Vol. 84, p224-238. 15p.

Destination Competitiveness Improvement: Insights From Causal Counterfactual AI Analysis.

Authors: Xia, Haiyang Muskat, Birgit Karl, Marion et al.

Source: Journal of Travel Research. Apr2026, Vol. 65 Issue 4, p1103-1122. 20p.

CausGNN: A Causal‐Based Explanation Framework for Graph Neural Networks.

Authors: Debbi, Hichem¹ (AUTHOR) hichem.debbi@univ‐msila.dz

Source: Expert Systems. May2026, Vol. 43 Issue 5, p1-20. 20p.

Uplift modeling with continuous treatments: A predict-then-optimize approach.

Authors: De Vos, Simon Bockel-Rickermann, Christopher Lessmann, Stefan et al.

Source: European Journal of Operational Research. Apr2026, Vol. 330 Issue 1, p230-244. 15p.

Causal Graph Neural Networks for robust wildfire forecasting across geographic shifts.

Authors: Zhao, Shan Prapas, Ioannis Xiong, Zhitong et al.

Source: ISPRS Journal of Photogrammetry & Remote Sensing. Jun2026, Vol. 236, p654-667. 14p.

Subjects: Graph neural networks, Causal artificial intelligence, Fire risk assessment, Causal inference, Machine learning, Climate change, Landscape changes

Geographic Terms: Mediterranean Sea

The Role of Educational Chatbots in Adapting Educational Systems to the Bani Model: a Causal Layered Analysis Approach.

Authors: Gligorea, Ilie Oancea, Romana Gorski, Andra-Teodora

Source: International Conference KNOWLEDGE-BASED ORGANIZATION. Jun2025, Vol. 31 Issue 3, p43-52. 10p.

An Interpretable Hybrid Fault Prediction Framework Using XGBoost and a Probabilistic Graphical Model for Predictive Maintenance: A Case Study in Textile Manufacturing.

Authors: Velasco-Loera, Fernando Alcaraz-Mejia, Mildreth Chavez-Hurtado, Jose L.

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p10164, 25p

Bayesian Stochastic Rainfall Generator (BSRG): Intelligent and Digital tool for Rainfall Forecasting through Bayesian Causal Modelling.

Authors: Molina, Jose-Luis Patino-Alonso, Carmen Espejo, Fernando

Source: Water Resources Management. Jun2025, Vol. 39 Issue 8, p4033-4050. 18p.

Subject Terms: *Causal artificial intelligence, *Statistical models, *Rain gauges, *Mediterranean climate, *Causal models