The seven tools of causal inference, with reflections on machine learning

Cited by (659)

Items 601–659 of 659

1. Generating Synthetic Categorical Data for Causal Modelling of Accessibility Barriers
   O. A. Shaposhnyk, Noor Abid, Mouri Zakir, Svetlana N. Yanushkevich · 2025 · IEEE Smart World Congress (SWC)
2. Can LLMs Aid Expert Elicitation for Causal Modeling?
   O. A. Shaposhnyk, Daria Zahorska, Svetlana N. Yanushkevich · 2025 · IEEE Smart World Congress (SWC)
3. A counterfactual inference framework for Parkinson’s disease diagnosis: uncovering the causal role of phonation onset in speech
   Leiyong Guo, Yu Li · 2026 · Health and Technology
4. Mitigating Privacy Issues in RAG through Causal Disentanglement
   Junyi Wang, Songwen Pei, Kai Cong, Joel J. P. C. Rodrigues · 2025 · IEEE International Conference on Big Data (BigData)
5. Analysis Model for Infant Incubator Adverse Events Using Retrieval-Augmented Generation Combined With Dual-Adapter Fine-Tuning: Development and Evaluation Study
   Wenke Xia, Wanting Zhu, Tianchun Li, Li Wang, Weiqi Li, Peiming Zhang · 2026 · JMIR Medical Informatics
6. Generation of time series and reinforcement learning
   Carl Remlinger · 2022 · theses.fr (ABES)
7. Statistical learning and causal inference for energy production
   Naoufal Acharki · 2022 · theses.fr (ABES)
8. From Signals to Symbols: Fault Classification Using Transformers and Logic-Based Reasoning
   Darian M. Onchiş, Eduard Hogea, Codruta Istin · 2026 · Lecture notes in mechanical engineering
9. Privacy and fairness issues with algorithmic decision systems
   Louis Béziaud · 2023 · theses.fr (ABES)
10. The Reality Tuple Framework: A Novel Approach to Consciousness, Cognition, and Reality
    Ion florin Gheorghisor · 2025 · International Conference on Electrical, Computer and Energy Technologies (ICECET)
11. ¿Inferencias en máquinas? Alucinaciones inferenciales de los grandes modelos de lenguaje desde una perspectiva de los sentimientos metacognitivos
    Sebastián Mejía-Rendón, Mariana Olezza · 2026 · trilogía Ciencia Tecnología Sociedad
12. Trustworthy Visual Privacy Auditing with Causal Governance and Resilient Federated Protection for NIST AI Risk Management Framework
    Ray-I Chang, Wei-Xun Lu, Chih Yang · 2026 · Electronics
13. BeliefNet: A Neurosymbolic Model for Context-Based Traversability Predictions in Complex Environments
    Tom Scott, Argyrios C. Zolotas, Yang Xing · 2026 · Neurosymbolic Artificial Intelligence
14. Artificial Intelligence in Medical Informatics: From Algorithms to Clinical Practice—A Survey
    Yu-Fan Luo, Dechao Bu, Yang Wu, Y ZHAO · 2026 · Journal of Computer Science and Technology
15. Toward causality-based MPC: rethinking limitations of data-driven MPC
    Jin Hong Kim, Cheol Soo Park · 2026 · Journal of Building Performance Simulation
16. Interpretable AI and Classical Statistics: Revisiting the Surrogate Model Paradigm
    Osama Abdelhay, Taghreed Altamimi, Adam Shatnawi, Hussam Abdelhay · 2026 · International Conference on Advances in Artificial Intelligence and Machine Learning (AAIML)
17. Using a Cascade of Supervised Machine Learning Models to Discover Causality in Pairs of Variables
    Yuri A. Zelenkov · 2026 · Communications in computer and information science
18. DeepCas12a: a hybrid deep learning framework for accurate AsCas12a efficiency prediction from sequence and epigenetic information
    Yiming Shi, Junkai Yin, Shurui Ning, Jinling Yuan, Degang Yang, Guohui Chuai · 2026 · BMC Genomics
19. Probabilistic Causal Modelling of Factors Contributing to Stress, Anxiety, and Depression for Nurses and Social Workers
    O. A. Shaposhnyk, Daria Zahorska, Amy Jane Beck, Katherine Bright, Linda Duffett‐Leger, Svetlana N. Yanushkevich · 2026 · IEEE Conference on Artificial Intelligence (CAI)
20. Quantifying physics-informed causal pathways in flow-induced vibration heat transfer enhancement through spectral dynamics and mediation analysis
    Xiaohang Qu, Pengjiang Guo, Qianjian Guo, Xiaoni Qi · 2026 · Engineering Applications of Artificial Intelligence
21. Deep Q-networks based on event influence knowledge
    Li Zhang, Wei Ge · 2026 · Array
22. Towards Digital Twins success: A mediating analysis of symbolic and functional benefits
    Elisabetta Raguseo, Gianluca Elia, Raania N. Khan, Federico Pigni · 2026 · SSRN Electronic Journal
23. GraphLocator: Graph-Guided Causal Reasoning for Issue Localization
    Wei Liu, Chao Peng, Pengfei Gao, Aofan Liu, Wei Zhang, Hantao Zhao, Zhi Gang Jin · 2026 · Proceedings of the ACM on software engineering.
24. A Preliminary Study on Explaining Risk of Code Changes using LLM-Based Prediction Models
    Yalin Liu, Kosay Jabre, Rui Abreu, Zachariah Carmichael, Vijayaraghavan Murali, Akshay Patel, Jun Ge, Weiyan Sun, Cong Zhang, Audris Mockus et al. · 2026 · ACM International Conference on AI-Powered Software (AIware)
25. Prediction-in-the-Loop: a decision-making paradigm endowing agents with foresight
    Yunhao Liu, Mu Yuan, Lan Zhang, Zhaomeng Zhou, Li Liu · 2026 · Scientia Sinica Informationis
26. Resilient Radio Access Networks: AI and the Unknown Unknowns
    Bho Matthiesen, Armin Dekorsy, Petar Popovski · 2025 · IEEE Globecom Workshops (GC Wkshps)
27. The Impacts of Generative Artificial Intelligence on Financial Research：Opportunities，Challenges，and Prospects
    You Zhu, Bowei Zhang, Ming Gong, Gang‐Jin Wang, Beibei Xiong, Chi Xie · 2026 · 中国科学基金
28. Do soil conservation practices enhance landscape resilience? Causal evidence from terracing in China's Yellow River Basin
    Gadisa Fayera Gemechu, Wei Wei · 2026 · Journal of Environmental Management
29. AI Control Through Causal Agents
    Mehedi Mahmud Kaushik, Konduri Naga Venkata Karthik, Arjan Durresi A · 2026 · Lecture notes on data engineering and communications technologies
30. A Causal Analysis of the Effect of Aucatzyl Administered to Adult Subjects with Relapsed/Refractory B-Cell Acute Lymphoblastic Leukaemia
    John D. Johnston, Khadija Rerhou Rantell, Essam Ahmed Ghazaly · 2026 · Sci
31. Planning for equitable public health: A framework for interpretable causal policy learning
    Kushal Anjaria · 2026 · Socio-Economic Planning Sciences
32. Stochastic Process Mining: Characteristics and Challenges
    Sander J. J. Leemans, Xixi Lu, David Chapela-Campa, Claudio Di Ciccio, Izack Cohen, Benoît Depaire, Stephan A. Fahrenkrog-Petersen, Avigdor Gal, Massimiliano de Leoni, Henrik Leopold et al. · 2026 · IEEE Transactions on Knowledge and Data Engineering
33. CHRONOS: A Causally-Constrained Architecture for Scientifically Defensible Counterfactual History
    Mezbah Uddin Rafi · 2026 · Research Square
34. Explainable Artificial Intelligence Technology and Its Applications: Toward Transparent, Human-Centered, and Trustworthy AI
    Xue Sun, Lan Tian, Weidong Zhou, Yazhou Zhao, Guoyang Liu · 2026 · Applied Sciences
35. Integrating Causal Inference with Machine Learning to Optimize Individualized Duloxetine Dosing in Patients with Depression
    Mingzhu Li, Ran Fu, Xiao Zhang, Jiapeng Li, Kai Wei, Yibing Shen, Jing Yu, Chunhua Zhou, Yuanyuan Zhao, Lian Zhang · 2026 · International Conference on Artificial Intelligence and Computing (AIC)
36. Artificial Understanding as Recursive Causal-Mechanistic Explanation: A Formal Framework
    Santiago Grijalva, Nicholas Grijalva · 2026 · International Conference on Electrical, Computer and Energy Technologies (ICECET)
37. Rethinking Diagnostic AI for Women’s Health in Resource-Constrained Settings
    Juliana Bowles, Thais Webber, Ariane Hine, Lislaine Aparecida Fracolli · 2026 · Lecture notes in computer science
38. Beyond Accuracy: Separating Reasoning Competence from Default Reasoning Behavior in Large Language Models — A Controlled Causal-Reasoning Study in Newtonian Physics, with a Cross-Domain Probe in Deterministic Mathematics
    Cheng Zuo · 2026 · SSRN Electronic Journal
39. Artificial Intelligence’s Unresolved Challenges in Soil Heavy Metals Modeling: Proposing a Next-generation Research Era
    Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Ziaul Haq Doost, Jiřı́ Šimůnek, Wan Hanna Melini Wan Mohtar, Raad Z. Homod, Ahmad Sharafati, Ahmad Zaharin Aris, Ravinesh Chand Deo · 2026 · Earth Systems and Environment
40. Por uma ética de assemblagem nas conversas com e sobre IA
    M. Buzato · 2026 · Trabalhos em Lingüística Aplicada
41. Explainable Graph-Based Threat Attribution and Root-Cause Analysis
    Prisca Chinazor Amajuoyi, Light Chukwubuikem Nwokocha, Mary Damola Ogedengbe, Oshikhena Bayo Folorunsho, Ugochukwu Ignatius Njubigbo, Olufemi Owolabi, Chukwudi Agbo, Olatunji Sikiru, Nabeela Temitayo Adebola · 2026 · IEEE International Conference on Big Data and Artificial Intelligence (BDAI)
42. A Conceptual Innovation Design Framework Integrating Causal Inference and Multi-Method Fusion
    Longwei Zhong, Li Liu · 2025 · International Symposium on Computational Intelligence and Design
43. Adaptive structural–operational resilience intelligence for BIM-enabled infrastructure systems: a causal graph neural and explainable AI framework for hidden vulnerability detection and disaster-resilient governance
    Sachin Admane, Tejas Admane, Vivek Mohite, Maroti Kalbande · 2026 · International Journal of Disaster Resilience in the Built Environment
44. Multimodal Learning: Integrating Text, Images, Video, and Audio for Cross-Modal Reasoning
    L. S. Abinash Nayak, P. Aparna, K. Rashmi, Gurbakash Phonsa, Sudhanshu Prakash Tiwari, Madri Vijaya Raju · 2026 · Lecture notes in networks and systems
45. The nativist–empiricist debate is broken
    Jake Quilty‐Dunn, Justin N. Wood · 2026 · Trends in Cognitive Sciences
46. CARE: Causal alignment and relational evolution for few-shot class-incremental learning
    Jicheng Yuan, Enhao Ning, Yugui Zhang, Dian Gu, Hanqing Zhao, Wenfa Li · 2026 · Applied Soft Computing
47. Continuous-Time Event-Driven Temporal–Causal Attention for Intention-Driven Anticipation in Badminton
    Yiming Gao, Hongzhang Fan, Jinxin Han, Yigu Tian, Jiayi Wang, Zhirong Luan · 2026 · Sensors
48. From Malfunction to Method: Artistic Strategies for Working with GenAI's Limitations
    Justyna Starostka, Anders Sundnes Løvlie, Laurence Cliffe, Leo Vitasovic, Willem van der Maden, Paul Tennent, Sami S. Brandt · 2026 · Nordic Conference on Human-Computer Interaction
49. Tangible informatics: Bridging the cognitive disconnect in the intelligentization of industrial systems
    Hongwei Jiang, Jiapeng You, Zhiyang Chen, Poly Z.H. Sun · 2026 · Journal of Industrial Information Integration
50. The Living Data Genome: Ledger-Governed Evidence Lifecycles for Accountable AI Under Limited Observability
    Haluk Eren · 2026 · Systems
51. Learning Causal Structures from LLM-AHP Comparisons for Interpretable Forecasting
    Lan Yang, Xing-Chen Hu, W. Pedrycz, Zhi-Wu Li · 2026 · Knowledge-Based Systems
52. Predicting representations, modeling worlds, recovering causes: A critical review of JEPA, world models, and causal representation learning
    Wei Chen Ng, Qiyi Xie, Yan Kang Lee, Wei Hown Tee, Hakim Qaid Abdullah Abdulrab, Tony Chang Soon Hii, Tan Jian Ding · 2026 · Neurocomputing
53. Hypothesis-level reference argumentation network for case-based clinical reasoning in medical AI
    Kailash Chandra Kandpal, Prabhat Verma · 2026 · Journal of Intelligent & Fuzzy Systems
54. Strategic Decision-Making, Prediction Machines, and Knightian Uncertainty: What are the (Empirical) Challenges?
    Nicolai J. Foss, Paul Hünermund · 2026 · Journal of Management Scientific Reports
55. Nature Mental Health Earth–Brain–Health Commission
    Günter Schumann, Jürg Luterbacher, André F. Marquand, Cornelius Groß, Xanthe Hunt, Bernd Carsten Stahl, Lasse Brandt, Бин Чэн, Dinakaran Damodharan, John S. Ji et al. · 2026 · Nature Mental Health
56. An annotation-efficient Kantian neuro-symbolic AI framework for few-shot point cloud segmentation of construction and demolition waste
    Chi-Fu Hsiao, Ting-Yi Tsai · 2026 · SSRN Electronic Journal
57. From prediction to intervention: A causal framework for quality improvement in discrete manufacturing
    Sven Meier, Jonathan Ruf, Ben Rachinger, Steffen Klarmann, Jörg Franke, Manuela Ockel · 2026 · Journal of Manufacturing Systems
58. Deconstruction and Interpretation of Advertising Cost‐Conversion Efficiency: Microlevel Feature Analysis Based on Machine Learning and SHAP
    Jincheng Huang, Renjing Liu, Yi Zhou · 2026 · Journal of Forecasting
59. Extended generalization and improved safety with the System‐2 features of the Scientist AI
    Yoshua Bengio · 2026 · AI Magazine