Generalized Recentered Influence Function Regressions by Javier Alejo, Antonio Galvao, Julián Martínez-Iriarte, Gabriel Montes-Rojas

Subjects: “…influence functions…”
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COUNTERFACTUAL DEPENDENCE, BOUNDARY AND RESOURCE DEPENDENCE by Symeon Mandrinos, Constance Liew Sat Lin

“…Additionally, counterfactual dependence facilitates consensus through transitive causation while maintaining dissensus, influencing boundary interactions at union. …”
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Counterfactual analysis of extreme events in urban flooding scenarios by Xiaolan Chen, Hongtao Li, Haijun Yu, Enguang Hou, Sulin Song, Hongjian Shi, Yikai Chai

“…Study focus: Applied the counterfactual method, using three extreme rainfall events, to simulate the flood risk. …”
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Europe’s unheeded vocation: from reconstructive vision to counterfactual critique by Sabine Frerichs

“…Moreover, this article considers the relevance and implications of two intellectual influences on Joerges’s work, one a more formative one (Habermas) and one resonating with recent experiences of crisis (Polanyi), and it follows the journey of Joerges’s reconstructive approach within European studies: between integration theory, governance approaches, and rethinking democracy in postnational constellations. …”
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Customer-Centric Decision-Making with XAI and Counterfactual Explanations for Churn Mitigation by Simona-Vasilica Oprea, Adela Bâra

“…Explainable Artificial Intelligence (XAI) methods, such as SHapley Additive Explanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME), highlight the features influencing the prediction, but businesses need strategies to prevent churn. …”
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Afraid of repeated infections? The influence of social comparative tendency on tourism satisfaction in the post-COVID-19 era: the mediation role of counterfactual thinking and the moderation role of risk perception by Yibo Xie, Wenbin Ma, Lu Wu

“…In this paper, the roles of upward counterfactual thinking and their perception of COVID-19 risk in the influence of social comparison tendency on travel satisfaction was investigated. …”
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LLM in the Loop: A Framework for Contextualizing Counterfactual Segment Perturbations in Point Clouds by Veljka Kocic, Niko Lukac, Dzemail Rozajac, Stefan Schweng, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Javier del Ser, Andreas Holzinger

“…Yet, despite these advancements, key challenges remain, particularly in optimizing segment perturbations to influence model outcomes in a controlled and meaningful way. …”
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Counterfactual Based Approaches for Feature Attributions of Stress Factors Affecting Rice Yield by Nisha P. Shetty, Balachandra Muniyal, Ketavarapu Sriyans, Kunyalik Garg, Shiv Pratap, Aman Priyanshu, Dhruthi Kumar

“…ABSTRACT Agriculture is a crucial sector in many countries, particularly in India, where it significantly influences the economy, food supply, and rural livelihoods. …”
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Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing. by Stefano Palminteri, Germain Lefebvre, Emma J Kilford, Sarah-Jayne Blakemore

“…To address this question, we analysed the performance of two groups of participants on reinforcement learning tasks using a computational model that was adapted to test if prediction error valence influences learning. We carried out two experiments: in the factual learning experiment, participants learned from partial feedback (i.e., the outcome of the chosen option only); in the counterfactual learning experiment, participants learned from complete feedback information (i.e., the outcomes of both the chosen and unchosen option were displayed). …”
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CausMatch: Causal Matching Learning With Counterfactual Preference Framework for Cross-Modal Retrieval by Chen Chen, Dan Wang

“…This study specifically investigates the influence of acquired visual and textual attention on network predictions by employing counterfactual intervention as a method of scrutiny. …”
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State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction by Jason Poulos

“…This article examines how homestead policies, which opened vast frontier lands for settlement, influenced the development of American frontier states. …”
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A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX) by Jong-Hwan Jang, Yong-Yeon Jo, Sora Kang, Jeong Min Son, Hak Seung Lee, Joon-myoung Kwon, Min Sung Lee

“…This approach has the potential to increase clinicians’ trust specific changes—such as increased T wave amplitude or PR interval prolongation—influence the model’s decisions. Through a series of validation experiments, the framework demonstrates its ability to produce counterfactual ECGs that closely align with established clinical knowledge, including characteristic alterations associated with potassium imbalances and atrial fibrillation. …”
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From Meals to Marks: Modeling the Impact of Family Involvement on Reading Performance with Counterfactual Explainable AI by Myint Swe Khine, Nagla Ali, Othman Abu Khurma

“…Drawing data from 24,600 students in the UAE PISA dataset, the analysis employed Gradient Boosting, SHAP (SHapley Additive exPlanations), and counterfactual simulations to model and interpret the influence of ten parental involvement variables. …”
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COVID-19 death toll predictions show that triggering counterfactual thinking deteriorates judgmental performance by Matthias Seifert, Jeeva Somasundaram

“…Abstract Background Effective communication during a health crisis is critical as it directly influences psychological and behavioral responses that will shape the further progression of the crisis. …”
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How Far Are We from Income Parity in Agriculture? Evidence from Poland (2004–2019) by Aleksandra Pawłowska, Renata Grochowska

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Granger causal inference for climate change attribution by Mark D Risser, Mohammed Ombadi, Michael F Wehner

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Los posibles del pasado. Notas sobre la ficción en la historia literaria. by Julio Premat

“…These counterfactual versions of what happened, which certain historiographical currents vindicate, arouse effects of estrangement, and therefore of critical distance, in the face of what has been inherited. …”
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A Simple Analysis of Harm by Jens Johansson, Olle Risberg

“…In this paper, we present and defend an analysis of harm that we call the Negative Influence on Well-Being Account (NIWA). We argue that NIWA has a number of significant advantages compared to its two main rivals, the Counterfactual Comparative Account (CCA) and the Causal Account (CA), and that it also helps explain why those views go wrong. …”
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Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002–2016) by Getnet Bogale Begashaw, Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta

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PHILOSOPHICAL UNDERSTANDING OF THE NATURE OF VIOLENCE by N. M. Boychenko

“…To the extent that the influence of ethics on changes in human culture and sociality in the counterfactual regime is increasing, one should also speak of the anthropological significance of ethics. …”
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