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Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest

5 April 2025

Papers citing "Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest"

28 / 28 papers shown

Title
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels Yaxuan Wang Hao Cheng Jing Xiong Qingsong Wen Han Jia Ruixuan Song Li Zhang Zhaowei Zhu Yang Liu AI4TS 90 2 0 21 Jan 2025
Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning Andrew Smart Atoosa Kasirzadeh 89 6 0 05 Sep 2024
Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making Zhuoran Lu Dakuo Wang Ming Yin 73 17 0 13 Jan 2024
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis Shao Zhang Jianing Yu Xuhai Xu Changchang Yin Yuxuan Lu ... Melanie Tory Lace M. Padilla Jeffrey Caterino Ping Zhang Dakuo Wang 81 44 0 17 Sep 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 95 65 0 12 May 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations Max Schemmer Niklas Kühl Carina Benz Andrea Bartos G. Satzger 65 109 0 04 Feb 2023
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems Gaole He L. Kuiper U. Gadiraju 65 56 0 25 Jan 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans Hussein Mozannar Hunter Lang Dennis L. Wei P. Sattigeri Subhro Das David Sontag 82 51 0 15 Jan 2023
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 114 52 0 23 Sep 2022
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables Kenneth Holstein Maria De-Arteaga Lakshmi Tumati Yanghuidi Cheng 188 24 0 28 Jul 2022
To Aggregate or Not? Learning with Separate Noisy Labels Jiaheng Wei Zhaowei Zhu Tianyi Luo Ehsan Amid Abhishek Kumar Yang Liu NoLa 64 40 0 14 Jun 2022
Predictive Multiplicity in Probabilistic Classification J. Watson-Daniels David C. Parkes Berk Ustun 70 42 0 02 Jun 2022
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI Mahima Pushkarna Andrew Zaldivar Oddur Kjartansson AI4TS 98 221 0 03 Apr 2022
Jury Learning: Integrating Dissenting Voices into Machine Learning Models Mitchell L. Gordon Michelle S. Lam J. Park Kayur Patel Jeffrey T. Hancock Tatsunori Hashimoto Michael S. Bernstein 87 153 0 07 Feb 2022
Leveraging Expert Consistency to Improve Algorithmic Decision Support Maria De-Arteaga Vincent Jeanselme A. Dubrawski Alexandra Chouldechova 62 22 0 24 Jan 2021
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 89 408 0 12 Jan 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 98 85 0 02 Jan 2021
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 141 688 0 06 Nov 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 98 602 0 26 Jun 2020
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 84 401 0 11 Dec 2019
Predictive Multiplicity in Classification Charles Marx Flavio du Pin Calmon Berk Ustun 130 147 0 14 Sep 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 101 284 0 15 Jan 2019
Learning from positive and unlabeled data: a survey Jessa Bekker Jesse Davis 83 564 0 12 Nov 2018
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 140 1,910 0 05 Oct 2018
Learning under selective labels in the presence of expert consistency Maria De-Arteaga A. Dubrawski Alexandra Chouldechova 45 38 0 02 Jul 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 292 2,201 0 23 Mar 2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 177 221 0 17 Nov 2017
Crowdsourcing Ground Truth for Medical Relation Extraction Anca Dumitrache Lora Aroyo Chris Welty 67 65 0 09 Jan 2017