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On the use of post-hoc tests in environmental and biological sciences: A critical review
HeliyonPost-hoc comparison procedures are commonly used to determine which group means differ after a significant analysis of variance (ANOVA). Several post-hoc tests have been proposed, but their use requires certain assumptions to be met, such as normality ...
Codjo Emile Agbangba +3 more
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Explainable AI for post-hoc and pseudo-post-hoc predictive maintenance of governor valve actuators [PDF]
Scientific ReportsThe governor valve actuator (GVA), as the actuating mechanism of the steam turbine governing system, directly impacts production safety and economic efficiency.
Jun Tang +4 more
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Post-Hoc Tests in One-Way ANOVA: The Case for Normal Distribution
MethodologyWhen one-way ANOVA is statistically significant, a multiple comparison problem arises, hence post-hoc tests are needed to elucidate between which groups significant differences are found.
Joel Juarros-Basterretxea +5 more
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IEEE AccessGiven that education is classified as a ‘high-risk’ domain under regulatory frameworks like the EU AI Act, ensuring accurate and trustworthy interpretability in educational AI applications is critical due to its profound impact on student ...
Danial Hooshyar, Yeongwook Yang
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Post-hoc Concept Bottleneck Models [PDF]
International Conference on Learning Representations, 2022 Concept Bottleneck Models (CBMs) map the inputs onto a set of interpretable concepts (``the bottleneck'') and use the concepts to make predictions. A concept bottleneck enhances interpretability since it can be investigated to understand what concepts ...
Mert Yuksekgonul, M. Wang, James Y. Zou
semanticscholar +1 more source
Post hoc depression analysis from a pharmacist-led diabetes trial [PDF]
Mental Health Clinician, 2023 Introduction: Diabetes and depression may present concurrently, and clinical pharmacists are well equipped to manage these conditions. Clinical pharmacists were grant funded to implement a diabetes-focused randomized controlled trial in a Federally ...
M. Thomas Bateman, PharmD, BCACP +3 more
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Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement [PDF]
International Conference on Learning Representations, 2023 The capacity of a modern deep learning system to determine if a sample falls within its realm of knowledge is fundamental and important. In this paper, we offer insights and analyses of recent state-of-the-art out-of-distribution (OOD) detection methods -
Kai Xu +3 more
semanticscholar +1 more source
Post Hoc Explanations of Language Models Can Improve Language Models [PDF]
Neural Information Processing Systems, 2023 Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can ...
Satyapriya Krishna +5 more
semanticscholar +1 more source
Post-hoc Interpretability for Neural NLP: A Survey [PDF]
ACM Computing Surveys, 2021 Neural networks for NLP are becoming increasingly complex and widespread, and there is a growing concern if these models are responsible to use. Explaining models helps to address the safety and ethical concerns and is essential for accountability ...
Andreas Madsen, Siva Reddy, A. Chandar
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Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks [PDF]
Information Sciences, 2023 Among Bayesian methods, Monte-Carlo dropout provides principled tools for evaluating the epistemic uncertainty of neural networks. Its popularity recently led to seminal works that proposed activating the dropout layers only during inference for ...
Emanuele Ledda, G. Fumera, F. Roli
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