Search Results - Fairness (machine learning)

Fairness in the prediction of acute postoperative pain using machine learning models by Anis Davoudi, Ruba Sajdeya, Ron Ison, Jennifer Hagen, Parisa Rashidi, Catherine C. Price, Catherine C. Price, Patrick J. Tighe

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Information Theory and Machine Learning

Subjects: “…finite state machines…”
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How Humans Judge Machines by Hidalgo, César A.

Subjects: “…Machine learning bicssc…”
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The ethics of machine learning in medical sciences: Where do we stand today? by Treena Basu, Sebastian Engel-Wolf, Olaf Menzer

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Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions by Yu-Qing Cai, Da-Xin Gong, Li-Ying Tang, Yue Cai, Hui-Jun Li, Tian-Ci Jing, Mengchun Gong, Wei Hu, Zhen-Wei Zhang, Xingang Zhang, Guang-Wei Zhang

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Deconstructing demographic bias in speech-based machine learning models for digital health by Michael Yang, Abd-Al, Theodora Chaspari

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Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning by Cole-Lewis, Heather, Varghese, Arun, Sanders, Amy, Schwarz, Mary, Pugatch, Jillian, Augustson, Erik

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Architectural Design of a Blockchain-Enabled, Federated Learning Platform for Algorithmic Fairness in Predictive Health Care: Design Science Study by Xueping Liang, Juan Zhao, Yan Chen, Eranga Bandara, Sachin Shetty

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Prediction of 30-Day Hospital Readmissions for All-Cause Dental Conditions using Machine Learning by Hung M, Li W, Hon ES, Su S, Su W, He Y, Sheng X, Holubkov R, Lipsky MS

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IMPLEMENTASI DAN PERBANDINGAN METODE MACHINE LEARNING UNTUK KLASIFIKASI PENYAKIT PADA DAUN TOMAT by Kuncoro, Ramadhan Adityo

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A scoping review on the use of machine learning in research on social determinants of health: Trends and research prospects by Shiho Kino, Yu-Tien Hsu, Koichiro Shiba, Yung-Shin Chien, Carol Mita, Ichiro Kawachi, Adel Daoud

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xxAI - Beyond Explainable AI International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers /

Table of Contents: “…Editorial -- xxAI - Beyond explainable Artificial Intelligence -- Current Methods and Challenges -- Explainable AI Methods - A Brief Overview -- Challenges in Deploying Explainable Machine Learning -- Methods for Machine Learning Models -- CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations -- New Developments in Explainable AI -- A Rate-Distortion Framework for Explaining Black-box Model Decisions -- Explaining the Predictions of Unsupervised Learning Models -- Towards Causal Algorithmic Recourse -- Interpreting Generative Adversarial Networks for Interactive Image Generation -- XAI and Strategy Extraction via Reward Redistribution -- Interpretable, Verifiable, and Robust Reinforcement Learning via Program Synthesis -- Interpreting and improving deep-learning models with reality checks -- Beyond the Visual Analysis of Deep Model Saliency -- ECQ^2: Quantization for Low-Bit and Sparse DNNs -- A whale's tail - Finding the right whale in an uncertain world -- Explainable Artificial Intelligence in Meteorology and Climate Science: Model fine-tuning, calibrating trust and learning new science -- An Interdisciplinary Approach to Explainable AI.…”
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A scientometric analysis of fairness in health AI literature. by Isabelle Rose I Alberto, Nicole Rose I Alberto, Yuksel Altinel, Sarah Blacker, William Warr Binotti, Leo Anthony Celi, Tiffany Chua, Amelia Fiske, Molly Griffin, Gulce Karaca, Nkiruka Mokolo, David Kojo N Naawu, Jonathan Patscheider, Anton Petushkov, Justin Michael Quion, Charles Senteio, Simon Taisbak, İsmail Tırnova, Harumi Tokashiki, Adrian Velasquez, Antonio Yaghy, Keagan Yap

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Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study by Stefan Kuhle, Bryan Maguire, Hongqun Zhang, David Hamilton, Alexander C. Allen, K. S. Joseph, Victoria M. Allen

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FAIR data management: what does it mean for drug discovery? by Yojana Gadiya, Yojana Gadiya, Yojana Gadiya, Vassilios Ioannidis, Vassilios Ioannidis, David Henderson, Philip Gribbon, Philip Gribbon, Philippe Rocca-Serra, Philippe Rocca-Serra, Venkata Satagopam, Susanna-Assunta Sansone, Wei Gu, Wei Gu

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Patterns and correlates of physical activity in adult Norwegians: a forecasted evolution up to 2025 based on machine learning approach by Alessio Rossi, Giovanna Calogiuri

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Machine Learning Model Identifies Increased Operative Time and Greater BMI as Predictors for Overnight Admission After Outpatient Hip Arthroscopy by Bryant M. Song, M.S, Yining Lu, M.D, Ryan R. Wilbur, B.A, Ophelie Lavoie-Gagne, M.D, Ayoosh Pareek, M.D, Brian Forsythe, M.D, Aaron J. Krych, M.D

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On Fair Performance Comparison between Random Survival Forest and Cox Regression: An Example of Colorectal Cancer Study by Sirin Cetin, Ayse Ulgen, Isa Dede, Wentian Li

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Assessing Disparities in Predictive Modeling Outcomes for College Student Success: The Impact of Imputation Techniques on Model Performance and Fairness by Nazanin Nezami, Parian Haghighat, Denisa Gándara, Hadis Anahideh

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Chapter 2 Fundamental Database Concepts

Subjects: “…Big spatial data, Cloud computing, Fair information practices, GeoAI, Geosensor networks, GIS, Graph databases, Machine learning, Spatial algorithms, Web mapping…”
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