Search results for "Confounding"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
79	Khaled El Emam, Saïda Benlarbi, Nishith Goel, Shesh N. Rai	The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics.	IEEE Trans. Software Eng.	2001	DBLP DOI BibTeX RDF	metrics validation, object-oriented quality, inheritance metrics, cohesion metrics, software quality, Object-oriented metrics, coupling metrics, validation methodology
54	Andrew Ward, Pamela Jo Johnson	Addressing confounding errors when using non-experimental, observational data to make causal claims.	Synth.	2008	DBLP DOI BibTeX RDF	Confounding, Social epidemiology, Instrumental variables, Methodology, Causal inference, Propensity scores
49	Martin Atzmüller, Frank Puppe	Causal Subgroup Analysis for Detecting Confounding.	INAP/WLP	2007	DBLP DOI BibTeX RDF
49	Martin Atzmüller, Frank Puppe, Hans-Peter Buscher	Onto Confounding-Aware Subgroup Discovery.	ICTAI (2)	2007	DBLP DOI BibTeX RDF
49	William M. Evanco	Comments on "The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics".	IEEE Trans. Software Eng.	2003	DBLP DOI BibTeX RDF	defect-proneness, statistical modeling, Object-oriented metrics, software defects
46	Luca Schiano, Fabrizio Lombardi	On the Test and Diagnosis of the Perfect Shuffle.	DFT	2003	DBLP DOI BibTeX RDF
46	Xiao-Tao Chen, Fred J. Meyer, Fabrizio Lombardi	Structural diagnosis of interconnects by coloring.	ACM Trans. Design Autom. Electr. Syst.	1998	DBLP DOI BibTeX RDF	interconnect, diagnosis, graph coloring, syndrome, balanced code
33	Cornelia Fermüller, Yiannis Aloimonos	The confounding of translation and rotation in reconstruction from multiple views.	CVPR	1997	DBLP DOI BibTeX RDF	3D rigid motion, structure-from-motion problem, planar retina, optimal configuration, spherical retina, optimal rotational error, ecological optics, motion estimation, image reconstruction, image reconstruction, translation, rotation, multiple views, stability analysis, shape estimation, scene structure, rigid motion
30	Michael J. LuValle	Identifying Mechanisms That Highly Accelerated Tests Miss.	IEEE Trans. Reliab.	2007	DBLP DOI BibTeX RDF
30	Luis Freire, Mark Jenkinson	A Gradient-Informed Robust Motion Correction Method for FMRI.	WBIR	2003	DBLP DOI BibTeX RDF
30	Jeffery R. Price, Timothy F. Gee	Towards Robust Face Recognition from Video.	AIPR	2001	DBLP DOI BibTeX RDF
30	Xiao-Tao Chen, Fabrizio Lombardi	A coloring approach to the structural diagnosis of interconnects.	ICCAD	1996	DBLP DOI BibTeX RDF	interconnect, Diagnosis, graph coloring, syndrome
18	Havisha Nadendla, Pujit Pavan Etha, Pradeep Chowriappa	Overcoming Confounding Bias in Causal Discovery Using Minimum Redundancy and Maximum Relevancy Constraint.	IEEE Access	2024	DBLP DOI BibTeX RDF
18	Juliette Martin	AlphaFold2 Predicts Whether Proteins Interact Amidst Confounding Structural Compatibility.	J. Chem. Inf. Model.	2024	DBLP DOI BibTeX RDF
18	Zhi Li, Zhiming Li	Computer algorithms of lower-order confounding in regular designs.	Comput. Stat.	2024	DBLP DOI BibTeX RDF
18	Shonosuke Harada, Hisashi Kashima	InfoCEVAE: treatment effect estimation with hidden confounding variables matching.	Mach. Learn.	2024	DBLP DOI BibTeX RDF
18	Joe Suzuki, Tianle Yang	Generalization of LiNGAM that allows confounding.	CoRR	2024	DBLP DOI BibTeX RDF
18	Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder	Auditing Fairness under Unobserved Confounding.	CoRR	2024	DBLP DOI BibTeX RDF
18	Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu	Predictive Performance Comparison of Decision Policies Under Confounding.	CoRR	2024	DBLP DOI BibTeX RDF
18	Tianwei Cao, Qianqian Xu, Zhiyong Yang 0001, Qingming Huang	Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status.	IEEE Trans. Pattern Anal. Mach. Intell.	2024	DBLP DOI BibTeX RDF
18	Alexis Bellot, Mihaela van der Schaar	Linear Deconfounded Score Method: Scoring DAGs With Dense Unobserved Confounding.	IEEE Trans. Neural Networks Learn. Syst.	2024	DBLP DOI BibTeX RDF
18	A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, Solon Barocas, Christopher De Sa, James Grimmelmann, Jon M. Kleinberg, Siddhartha Sen 0001, Baobao Zhang	Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification.	AAAI	2024	DBLP DOI BibTeX RDF
18	Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter	Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding.	CLeaR	2024	DBLP BibTeX RDF
18	Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing	Meaningful Causal Aggregation and Paradoxical Confounding.	CLeaR	2024	DBLP BibTeX RDF
18	Di You, Kyumin Lee	Alleviating Confounding Effects with Contrastive Learning in Recommendation.	ECIR (2)	2024	DBLP DOI BibTeX RDF
18	Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang	Hidden yet quantifiable: A lower bound for confounding strength using randomized trials.	AISTATS	2024	DBLP BibTeX RDF
18	Sarah Mameche, Jilles Vreeken, David Kaltenpoth	Identifying Confounding from Causal Mechanism Shifts.	AISTATS	2024	DBLP BibTeX RDF
18	Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder	Auditing Fairness under Unobserved Confounding.	AISTATS	2024	DBLP BibTeX RDF
18	Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari	Offline Policy Evaluation and Optimization Under Confounding.	AISTATS	2024	DBLP BibTeX RDF
18	Sina Jahandari, Ajitesh Srivastava	Adjusting for Unmeasured Confounding Variables in Dynamic Networks.	IEEE Control. Syst. Lett.	2023	DBLP DOI BibTeX RDF
18	Justin Grimmer, Dean Knox, Brandon M. Stewart	Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding.	J. Mach. Learn. Res.	2023	DBLP BibTeX RDF
18	Oswaldo Artiles, Zeina Al Masry, Fahad Saeed	Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data.	Neuroinformatics	2023	DBLP DOI BibTeX RDF
18	Qian Li 0003, Xiangmeng Wang, Zhichao Wang, Guandong Xu 0001	Be Causal: De-Biasing Social Network Confounding in Recommendation.	ACM Trans. Knowl. Discov. Data	2023	DBLP DOI BibTeX RDF
18	Yi Zhao, Xi Luo	Multilevel mediation analysis with structured unmeasured mediator-outcome confounding.	Comput. Stat. Data Anal.	2023	DBLP DOI BibTeX RDF
18	Yongxiu Cao, Jichang Yu	Adjusting for unmeasured confounding in survival causal effect using validation data.	Comput. Stat. Data Anal.	2023	DBLP DOI BibTeX RDF
18	Tyler D. Hoffman, Peter Kedron	Controlling for spatial confounding and spatial interference in causal inference: modelling insights from a computational experiment.	Ann. GIS	2023	DBLP DOI BibTeX RDF
18	Xiangnan He 0001, Yang Zhang 0072, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang 0001	Addressing Confounding Feature Issue for Causal Recommendation.	ACM Trans. Inf. Syst.	2023	DBLP DOI BibTeX RDF
18	Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel	Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.	CoRR	2023	DBLP DOI BibTeX RDF
18	Yonghe Zhao, Qiang Huang, Haolong Zeng, Yun Pen, Huiyan Sun	De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network.	CoRR	2023	DBLP DOI BibTeX RDF
18	Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici	SpaCE: The Spatial Confounding Environment.	CoRR	2023	DBLP DOI BibTeX RDF
18	Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang	Hidden yet quantifiable: A lower bound for confounding strength using randomized trials.	CoRR	2023	DBLP DOI BibTeX RDF
18	Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma 0007, Vineeth N. Balasubramanian	Rethinking Counterfactual Data Augmentation Under Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Liyuan Xu, Arthur Gretton	Kernel Single Proxy Control for Deterministic Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter	Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing	Meaningful Causal Aggregation and Paradoxical Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu 0003, Jixue Liu, Yinghao Zhang, Zaiwen Feng	Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.	CoRR	2023	DBLP DOI BibTeX RDF
18	Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen	Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes.	CoRR	2023	DBLP DOI BibTeX RDF
18	Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek	Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL.	CoRR	2023	DBLP DOI BibTeX RDF
18	Bijan Mazaheri, Spencer Gordon, Yuval Rabani, Leonard J. Schulman	Causal Discovery under Latent Class Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Graham Van Goffrier, Lucas Maystre, Ciarán M. Gilligan-Lee	Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An 0001, Gang Pan 0001	Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification.	CoRR	2023	DBLP DOI BibTeX RDF
18	Ruijiang Gao, Mingzhang Yin	Confounding-Robust Policy Improvement with Human-AI Teams.	CoRR	2023	DBLP DOI BibTeX RDF
18	Ziwei Jiang, Lai Wei, Murat Kocaoglu	Approximate Causal Effect Identification under Weak Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Kamil Mikolaj, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen	Removing confounding information from fetal ultrasound images.	CoRR	2023	DBLP DOI BibTeX RDF
18	Yinghua Yao, Yuangang Pan, Jing Li 0009, Ivor W. Tsang, Xin Yao 0001	Sanitized Clustering against Confounding Bias.	CoRR	2023	DBLP DOI BibTeX RDF
18	Tiago da Silva, Eliezer Silva, Adèle H. Ribeiro, António Góis, Dominik Heider, Samuel Kaski, Diego Mesquita	Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets.	CoRR	2023	DBLP DOI BibTeX RDF
18	Yonghe Zhao, Shuai Fu, Huiyan Sun	A Study on the Impact of Non-confounding Covariates on the Inferential Performance of Methods based on the Potential Outcome Framework.	CoRR	2023	DBLP DOI BibTeX RDF
18	Siyu Chen, Yitan Wang, Zhaoran Wang 0001, Zhuoran Yang	A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations.	CoRR	2023	DBLP DOI BibTeX RDF
18	Olivier Jeunen, Ben London 0001	Offline Recommender System Evaluation under Unobserved Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz	Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Kei Ishikawa, Niao He, Takafumi Kanamori	A Convex Framework for Confounding Robust Inference.	CoRR	2023	DBLP DOI BibTeX RDF
18	Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu 0012	Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
18	Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit	B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Maresa Schröder, Dennis Frauen, Stefan Feuerriegel	Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.	CoRR	2023	DBLP DOI BibTeX RDF
18	Sohaib Kiani, Jared Barton, Jon Sushinsky, Lynda Heimbach, Bo Luo	Counterfactual Prediction Under Selective Confounding.	CoRR	2023	DBLP DOI BibTeX RDF
18	Kei Ishikawa, Niao He	Kernel Conditional Moment Constraints for Confounding Robust Inference.	CoRR	2023	DBLP DOI BibTeX RDF
18	Deniz Gençaga	Confounding Factor Analysis for Vocal Fold Oscillations.	Entropy	2023	DBLP DOI BibTeX RDF
18	Kan Chen, Siyu Heng, Qi Long, Bo Zhang	Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies.	J. Comput. Graph. Stat.	2023	DBLP DOI BibTeX RDF
18	Erik Imgrund, Tom Ganz, Martin Härterich, Lukas Pirch, Niklas Risse, Konrad Rieck	Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery.	AISec@CCS	2023	DBLP DOI BibTeX RDF
18	Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng	Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.	ICDM	2023	DBLP DOI BibTeX RDF
18	Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu	Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.	ICDM (Workshops)	2023	DBLP DOI BibTeX RDF
18	Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi	On Explaining Confounding Bias.	ICDE	2023	DBLP DOI BibTeX RDF
18	Vitor Fernandes Marinho Ferreira, Jason Kuruzovich	Causal Matching for Startups: Methods for Controlling Confounding.	AMCIS	2023	DBLP BibTeX RDF
18	Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu 0012	Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations.	WWW	2023	DBLP DOI BibTeX RDF
18	Yixiang Gao, Guilherme N. DeSouza, Mark Berardi, Maria Dietrich	Removal of Confounding Factors using GA-SVM Feature Adaptation: Application on Detection of Vocal Fatigue thru sEMG Classification.	CEC	2023	DBLP DOI BibTeX RDF
18	Brian Premchand, Zhuo Zhang 0001, Juanhong Yu, Tao Yang 0014, Kai Keng Ang	Synchronizing Motor Imagery Cue in fNIRS Brain-Computer Interface to reduce confounding effects of respiration.	EMBC	2023	DBLP DOI BibTeX RDF
18	Asim Hossain Gazi, Jesus Antonio Sanchez-Perez, Michael Chan 0006, Mohammad Nikbakht, David Jimmy Lin, Shlok Natarajan, J. Douglas Bremner, Jin-Oh Hahn, Omer T. Inan, Christopher J. Rozell	Physiological Markers Reveal Confounding Effects of Apprehension and Habituation During Stress Protocol.	BSN	2023	DBLP DOI BibTeX RDF
18	Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi	NEXUS: On Explaining Confounding Bias.	SIGMOD Conference Companion	2023	DBLP DOI BibTeX RDF
18	Mauricio Tec, James G. Scott, Corwin M. Zigler	Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies.	AAAI	2023	DBLP DOI BibTeX RDF
18	Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun 0001	Robust Causal Graph Representation Learning against Confounding Effects.	AAAI	2023	DBLP DOI BibTeX RDF
18	Sohaib Kiani, Jared Barton, Jon Sushinsky, Lynda Heimbach, Bo Luo	Counterfactual Prediction Under Selective Confounding.	ECAI	2023	DBLP DOI BibTeX RDF
18	Mirthe Maria Van Diepen, Ioan Gabriel Bucur, Tom Heskes, Tom Claassen	Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding.	CLeaR	2023	DBLP BibTeX RDF
18	Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman	Causal Inference Despite Limited Global Confounding via Mixture Models.	CLeaR	2023	DBLP BibTeX RDF
18	Graham Van Goffrier, Lucas Maystre, Ciarán Mark Gilligan-Lee	Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding.	CLeaR	2023	DBLP BibTeX RDF
18	Jing Zhang	Causal Effects Under Spatial Confounding and Interference (Short Paper).	GIScience	2023	DBLP DOI BibTeX RDF
18	Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou	Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach.	IEEE Big Data	2023	DBLP DOI BibTeX RDF
18	Elizabeth Haddad, Myrl G. Marmarelis, Talia M. Nir, Aram Galstyan, Greg Ver Steeg, Neda Jahanshad	Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain.	MLCN@MICCAI	2023	DBLP DOI BibTeX RDF
18	K. H. Aqil, Tanvi Kulkarni, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam	Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields.	PRIME@MICCAI	2023	DBLP DOI BibTeX RDF
18	Rickard Karlsson, Jesse H. Krijthe	Detecting hidden confounding in observational data using multiple environments.	NeurIPS	2023	DBLP BibTeX RDF
18	Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He 0001, Peng Wu	Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach.	NeurIPS	2023	DBLP BibTeX RDF
18	Dennis Frauen, Stefan Feuerriegel	Estimating individual treatment effects under unobserved confounding using binary instruments.	ICLR	2023	DBLP BibTeX RDF
18	Ziwei Jiang, Lai Wei, Murat Kocaoglu	Approximate Causal Effect Identification under Weak Confounding.	ICML	2023	DBLP BibTeX RDF
18	Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit	B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding.	ICML	2023	DBLP BibTeX RDF
18	Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An 0001, Gang Pan 0001	Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification.	ICML	2023	DBLP BibTeX RDF
18	Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou 0011	Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.	ICML	2023	DBLP BibTeX RDF
18	Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu 0001, David A. Clifton	Adversarial De-confounding in Individualised Treatment Effects Estimation.	AISTATS	2023	DBLP BibTeX RDF
18	Kei Ishikawa, Niao He	Kernel Conditional Moment Constraints for Confounding Robust Inference.	AISTATS	2023	DBLP BibTeX RDF
18	Zexuan Yin, Paolo Barucca	Deep recurrent modelling of Granger causality with latent confounding.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
18	Marc Joiret, Jestinah M. Mahachie John, Elena S. Gusareva, Kristel Van Steen	Correction: Confounding of linkage disequilibrium patterns in large scale DNA based gene-gene interaction studies.	BioData Min.	2022	DBLP DOI BibTeX RDF
18	Meng Wang 0027	Inherent Nonlinear Distribution of High-Dimensional Genotypic Data Identified as a Possible Source of Confounding Factors in Population Structure Analysis.	IEEE ACM Trans. Comput. Biol. Bioinform.	2022	DBLP DOI BibTeX RDF