Search Results - "Explainable artificial intelligence"

An explainable artificial intelligence framework for risk prediction of COPD in smokers by Xuchun Wang, Yuchao Qiao, Yu Cui, Hao Ren, Ying Zhao, Liqin Linghu, Jiahui Ren, Zhiyang Zhao, Limin Chen, Lixia Qiu

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Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives

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Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives

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Support of individual educational trajectories based on the concept of explainable artificial intelligence by I. G. Zakharova, M. S. Vorobeva, Yu. V. Boganyuk

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Sexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis by Ying Yin, Ying Yin, T. Elizabeth Workman, T. Elizabeth Workman, John R. Blosnich, John R. Blosnich, Cynthia A. Brandt, Melissa Skanderson, Yijun Shao, Yijun Shao, Joseph L. Goulet, Qing Zeng-Treitler, Qing Zeng-Treitler

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Air pollution and mortality for cancer of the respiratory system in Italy: an explainable artificial intelligence approach by Donato Romano, Donato Romano, Pierfrancesco Novielli, Pierfrancesco Novielli, Roberto Cilli, Roberto Cilli, Nicola Amoroso, Nicola Amoroso, Alfonso Monaco, Alfonso Monaco, Roberto Bellotti, Roberto Bellotti, Sabina Tangaro, Sabina Tangaro

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An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study by Glenn J Fernandes, Arthur Choi, Jacob Michael Schauer, Angela F Pfammatter, Bonnie J Spring, Adnan Darwiche, Nabil I Alshurafa

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Understanding the risk factors for adverse events during exchange transfusion in neonatal hyperbilirubinemia using explainable artificial intelligence by Shuzhen Zhu, Lianjuan Zhou, Yuqing Feng, Jihua Zhu, Qiang Shu, Haomin Li

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Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study by Yun Kwan Kim, Ja Hyung Koo, Sun Jung Lee, Hee Seok Song, Minji Lee

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ROAD2H: Development and evaluation of an open‐source explainable artificial intelligence approach for managing co‐morbidity and clinical guidelines by Jesús Domínguez, Denys Prociuk, Branko Marović, Kristijonas Čyras, Oana Cocarascu, Francis Ruiz, Ella Mi, Emma Mi, Christian Ramtale, Antonio Rago, Ara Darzi, Francesca Toni, Vasa Curcin, Brendan Delaney

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Short-term anti-remodeling effects of gliflozins in diabetic patients with heart failure and reduced ejection fraction: an explainable artificial intelligence approach by Marco Mele, Marco Mele, Paola Imbrici, Antonietta Mele, Maria Vittoria Togo, Giorgia Dinoi, Michele Correale, Natale Daniele Brunetti, Orazio Nicolotti, Annamaria De Luca, Cosimo Damiano Altomare, Antonella Liantonio, Nicola Amoroso, Nicola Amoroso

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Explainable artificial intelligence models for predicting pregnancy termination among reproductive-aged women in six east African countries: machine learning approach by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

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A 3D and Explainable Artificial Intelligence Model for Evaluation of Chronic Otitis Media Based on Temporal Bone Computed Tomography: Model Development, Validation, and Clinical Application by Binjun Chen, Yike Li, Yu Sun, Haojie Sun, Yanmei Wang, Jihan Lyu, Jiajie Guo, Shunxing Bao, Yushu Cheng, Xun Niu, Lian Yang, Jianghong Xu, Juanmei Yang, Yibo Huang, Fanglu Chi, Bo Liang, Dongdong Ren

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Prevention and Management of Frailty

Subjects: “…explainable artificial intelligence…”
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Machine Learning in Sensors and Imaging

Subjects: “…explainable artificial intelligence…”
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Sustainable Agriculture and Advances of Remote Sensing (Volume 1)

Subjects: “…Explainable Artificial Intelligence…”
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Sustainable Agriculture and Advances of Remote Sensing (Volume 2)

Subjects: “…Explainable Artificial Intelligence…”
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Spatio-Temporal Explanation of 3D-EEGNet for Motor Imagery EEG Classification Using Permutation and Saliency by Donghyun Park, Hoonseok Park, Sangyeon Kim, Sanghyun Choo, Sangwon Lee, Chang S. Nam, Jae-Yoon Jung

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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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From lab to field with machine learning - Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

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