Výsledky vyhľadávania - "Structural causal model"

Temporal latent variable structural causal model for causal discovery under external interferences Autor Cai, Ruichu, Huang, Xiaokai, Chen, Wei, Li, Zijian, Hao, Zhifeng

“… Specifically, to capture the causal strength and adjacency information, we propose a new temporal latent variable structural causal model, incorporating causal strength and adjacency coefficients…”
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Investigating Causal Genetic Effects on Overall Survival of Glioblastoma Patients using Normalizing Flow and Structural Causal Model Autor Yu, Fanyang, Wang, Rongguang, Chaudhari, Pratik, Davatzikos, Christos

“… In this paper, we leverage the recently proposed structural causal model (SCM) with normalizing flows parameterized by deep networks to perform the counterfactual query…”
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Multimodal prognostic features of seizure freedom in epilepsy surgery Autor Alim-Marvasti, Ali, Vakharia, Vejay Niranjan, Duncan, John Sidney

“… and should be included in the future models.MethodsWe searched PubMed and Cochrane using free-text and Medical Subject Heading (MeSH…”
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Predictive models are indeed useful for causal inference Autor Nichols, James D., Cooch, Evan G.

“…The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach…”
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Spillover detection for donor selection in synthetic control models Autor O’Riordan, Michael, Gilligan-Lee, Ciarán M.

“… – that is, one not subject to spillover effects from the intervention? Such a decision typically requires appealing to strong domain knowledge specifying the units, which becomes infeasible in situations with large pools of potential donors…”
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Causality-Driven Convolutional Manifold Attention Network for Electroencephalogram Signal Decoding Autor Lu, Bin, Chen, Junxiang, Wang, Fuwang, Wen, Guilin, Fu, Rongrong, Hua, Changchun

“… Guided by the defined structural causal model and leveraging the strengths of Riemannian geometry and deep learning, dual latent encoders with manifold attention units were crafted to explicitly…”
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GaitSCM: Causal representation learning for gait recognition Autor Huo, Wei, Wang, Ke, Tang, Jun, Wang, Nian, Liang, Dong

“… We formulate the causalities among the identity factors, identity-irrelevant factors, and identity labels as a structural causal model (SCM…”
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دراسة إمبريقية للتحقق من النظرية السليمانية لصعوبات التعلم الاجتماعية و الانفعالية بالبيئة المصرية على عينة من تلاميذ المرحلة الابتدائية Autor إبراهيم، سليمان عبد الواحد يوسف

“…The current study aimed at the empirical verification of some hypotheses of the Solaimanya theory of social and emotional learning disabilities as a new Arab…”
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Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition Autor Chen, Yingjie, Chen, Diqi, Wang, Tao, Wang, Yizhou, Liang, Yun

“… via a structural causal model. By constructing such a causal diagram, we clarify the causal effect among variables and propose a plug-in causal intervention module, CIS, to deconfound the confounder \emph{Subject…”
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Co-Developing Causal Graphs with Domain Experts Guided by Weighted FDR-Adjusted p-values Autor Kling, Eli Y

“…This paper proposes an approach facilitating co-design of causal graphs between subject matter experts and statistical modellers…”
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An Investigation into the Relationship Between Tinnitus Distress and Cognitive Performance Autor Clarke, Nathan Andrew

“…Chronic subjective tinnitus (herein referred to as tinnitus) is the conscious perception of sound in the absence of an external sound source. It is very common…”
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Achieving Causal Fairness in Machine Learning Autor Wu, Yongkai

“…Fairness is a social norm and a legal requirement in today's society. Many laws and regulations (e.g., the Equal Credit Opportunity Act of 1974) have been…”
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Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions Autor Büchner, Tim, Penzel, Niklas, Orlando Guntinas-Lichius, Denzler, Joachim

“… In this work, we use insights from causal reasoning to investigate the hypothesis. After deriving a structural causal model, we develop a synthetic interventional framework…”
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Causal Explanations for Sequential Decision Making Under Uncertainty Autor Nashed, Samer B, Mahmud, Saaduddin, Goldman, Claudia V, Zilberstein, Shlomo

“…We introduce a novel framework for causal explanations of stochastic, sequential decision-making systems built on the well-studied structural causal model paradigm for causal reasoning…”
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Causal Image Synthesis of Brain MR in 3D Autor Li, Yujia, Shi, Jiong, Zhou, S Kevin

“… Specifically, we leverage a structural causal model to depict the causality and a styled generator to synthesize the image…”
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Impact of Mild Traumatic Brain Injury on the Subjective Perception of Hearing and Balance Autor Civantos, Alyssa M., Johnson, Kennedy, Azzawi, Sultan Al, Tarapore, Phiroz E., Cheung, Steven W., Sabes, Jennifer H., Chang, Jolie L., Durr, Megan L.

“…Objective Traumatic brain injury affects 1.5 million people per year in the United States, with the majority classified as mild (mTBI). While many immediate…”
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Roadmap for Causal Inference in Safety Analysis

“… ... 17710.2.1 Observed Data Structure ... 177 10.2.2 Structural Causal Model ... 177 10.2.3 Causal Quantities ... 178…”
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Examining the relationship between COVID-19 and suicide in media coverage through Natural Language Processing analysis Autor Bello, Hugo J., Palomar-Ciria, Nora, Lozano, Celia, Gutiérrez-Alonso, Carlos, Baca-García, Enrique

“… An analysis based on correlation and structural causal models show a strong relationship between the appearance…”
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Automated Social Science: Language Models as Scientist and Subjects Autor Manning, Benjamin S, Zhu, Kehang, Horton, John J

“… This automation is made possible by recent advances in large language models (LLM), but the key feature of the approach is the use of structural causal models…”
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Automated Social Science: Language Models as Scientist and Subjects Autor Manning, Benjamin S, Zhu, Kehang, Horton, John J

“… This automation is made possible by recent advances in large language models (LLM), but the key feature of the approach is the use of structural causal models…”
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