Review of The Book of Why: The New Science of Cause and Effect

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1. 2023Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry11 Sep 2023
2. 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causality28 Apr 2023
3. 2023Lost in Algorithms2 Jan 2023
4. 2022Causal DAG extraction from a library of books or videos/movies29 Oct 2022
5. 2022Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation13 Sep 2022
6. 2022A hybrid Bayesian network for medical device risk assessment and management7 Sep 2022
7. 2022Large Language Models and the Reverse Turing Test28 Jul 2022
8. 2022Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering26 Jul 2022
9. 2022A Fundamental Probabilistic Fuzzy Logic Framework Suitable for Causal Reasoning30 May 2022
10. 2022Causal Machine Learning for Healthcare and Precision Medicine23 May 2022
11. 2022Why did I fail? A Causal-based Method to Find Explanations for Robot Failures9 Apr 2022
12. 2022An Extension Of Combinatorial Contextuality For Cognitive Protocols15 Feb 2022

1. 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causalitycited by 348
2. 2022Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answeringcited by 57

1. 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causality28 Apr 2023
2. 2022Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering26 Jul 2022

1. 2021Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledgecited by 4

1. 2021Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge16 Mar 2021

1. 2021A Clarification of the Nuances in the Fairness Metrics Landscapecited by 98
2. 2022Causal Machine Learning for Healthcare and Precision Medicinecited by 68
3. 2022Large Language Models and the Reverse Turing Testcited by 38
4. 2022Why did I fail? A Causal-based Method to Find Explanations for Robot Failurescited by 13
5. 2021Leaving Goals on the Pitch: Evaluating Decision Making in Soccercited by 3
6. 2022A Fundamental Probabilistic Fuzzy Logic Framework Suitable for Causal Reasoningcited by 3
7. 2022A hybrid Bayesian network for medical device risk assessment and managementcited by 2
8. 2023Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industrycited by 2
9. 2021Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Thinkcited by 1
10. 2021Learning Robust Recommender from Noisy Implicit Feedbackcited by 1
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12 most cited of 16 · All 16 (JSON)

1. 2023Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry11 Sep 2023
2. 2023Lost in Algorithms2 Jan 2023
3. 2022Causal DAG extraction from a library of books or videos/movies29 Oct 2022
4. 2022Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation13 Sep 2022
5. 2022A hybrid Bayesian network for medical device risk assessment and management7 Sep 2022
6. 2022Large Language Models and the Reverse Turing Test28 Jul 2022
7. 2022A Fundamental Probabilistic Fuzzy Logic Framework Suitable for Causal Reasoning30 May 2022
8. 2022Causal Machine Learning for Healthcare and Precision Medicine23 May 2022
9. 2022Why did I fail? A Causal-based Method to Find Explanations for Robot Failures9 Apr 2022
10. 2022An Extension Of Combinatorial Contextuality For Cognitive Protocols15 Feb 2022
11. 2021Learning Robust Recommender from Noisy Implicit Feedback2 Dec 2021
12. 2021Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox & Causal Artificial Intelligence23 Nov 2021

12 newest of 16 · All 16 (JSON)