A systematic review of machine learning models for management, prediction and classification of ARDS by Tu K. Tran, Minh C. Tran, Arun Joseph, Phi A. Phan, Vicente Grau, Andrew D. Farmery

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Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders by Jokin Labaien Soto, Ekhi Zugasti Uriguen, Xabier De Carlos Garcia

Subjects: “…explainable AI…”
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The Visual Analytics and Data Exploration Research Lab at Arizona State University by Ross Maciejewski, Yuxin Ma, Jonas Lukasczyk

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An explainable hybrid deep learning model for prediabetes prediction in men aged 30 and above by Hung Viet Nguyen, Younsung Choi, Haewon Byeon

Subjects: “…explainable ai…”
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Exploring Evaluation Methods for Interpretable Machine Learning: A Survey by Nourah Alangari, Mohamed El Bachir Menai, Hassan Mathkour, Ibrahim Almosallam

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Explainable AI for medical over-investigation identification by Suresh Kumar Rathika

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An ML-based decision support system for reliable diagnosis of ovarian cancer by leveraging explainable AI by Asif Newaz, Abdullah Taharat, Md Sakibul Islam, Khairum Islam, A.G.M. Fuad Hasan Akanda

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Predicting odor from vibrational spectra: a data-driven approach by Durgesh Ameta, Laxmidhar Behera, Aniruddha Chakraborty, Tushar Sandhan

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Limited Discriminator GAN using explainable AI model for overfitting problem by Jiha Kim, Hyunhee Park

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Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning by Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Kun Ho Lee, Heung-Il Suk

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XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations by Mohammad Azad, Md Faraz Kabir Khan, Sameh Abd El-Ghany

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Explainable Machine Learning for Financial Distress Prediction: Evidence from Vietnam by Kim Long Tran, Hoang Anh Le, Thanh Hien Nguyen, Duc Trung Nguyen

Subjects: “…explainable AI…”
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Effects of Class Imbalance Countermeasures on Interpretability by David Cemernek, Shafaq Siddiqi, Roman Kern

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Intrinsically Interpretable Gaussian Mixture Model by Nourah Alangari, Mohamed El Bachir Menai, Hassan Mathkour, Ibrahim Almosallam

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Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models by Mina Samir, Nada Sherief, Walid Abdelmoez

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Exploration and practice of XAI architecture by Zhengxun XIA, Jianfei TANG, Yifan YANG, Shengmei LUO, Yan ZHANG, Fenglei TAN, Shengru TAN

Subjects: “…explainable AI;trusted AI;XAI architecture…”
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ATVis: Understanding and diagnosing adversarial training processes through visual analytics by Fang Zhu, Xufei Zhu, Xumeng Wang, Yuxin Ma, Jieqiong Zhao

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A deep learning approach identifies new ECG features in congenital long QT syndrome by Simona Aufiero, Hidde Bleijendaal, Tomas Robyns, Bert Vandenberk, Christian Krijger, Connie Bezzina, Aeilko H. Zwinderman, Arthur A. M. Wilde, Yigal M. Pinto

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Evaluating perceptual and semantic interpretability of saliency methods: A case study of melanoma by Harshit Bokadia, Scott Cheng‐Hsin Yang, Zhaobin Li, Tomas Folke, Patrick Shafto

Subjects: “…explainable AI…”
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XAI GNSS—A Comprehensive Study on Signal Quality Assessment of GNSS Disruptions Using Explainable AI Technique by Arul Elango, Rene Jr. Landry

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