Results 21 to 30 of about 33,125 (301)
A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Informatics in Medicine Unlocked, 2022 Several Artificial Intelligence-based models have been developed for COVID-19 disease diagnosis. In spite of the promise of artificial intelligence, there are very few models which bridge the gap between traditional human-centered diagnosis and the ...
Mehrdad Rostami, Mourad Oussalah
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Artificial Intelligence Explained for Nonexperts
Seminars in Musculoskeletal Radiology, 2020 AbstractArtificial intelligence (AI) has made stunning progress in the last decade, made possible largely due to the advances in training deep neural networks with large data sets. Many of these solutions, initially developed for natural images, speech, or text, are now becoming successful in medical imaging.
Narges, Razavian +2 more
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EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models
IEEE Access, 2023 The expansion of explainable artificial intelligence as a field of research has generated numerous methods of visualizing and understanding the black box of a machine learning model.
Ian E. Nielsen +4 more
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Towards Explainable Artificial Intelligence [PDF]
, 2019 In recent years, machine learning (ML) has become a key enabling technology for the sciences and industry. Especially through improvements in methodology, the availability of large databases and increased computational power, today's ML algorithms are able to achieve excellent performance (at times even exceeding the human level) on an increasing ...
Wojciech Samek, Klaus-Robert Müller
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Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence
, 2023 Currently, artificial intelligence is facing several problems with its practical implementation in various application domains. The explainability of advanced artificial intelligence algorithms is a topic of paramount importance, and many discussions ...
Ioannis D. Apostolopoulos +1 more
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Explainable Artificial Intelligence (XAI) in Insurance
Risks, 2022 Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the industry ...
Emer Owens +5 more
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Levels of explainable artificial intelligence for human-aligned conversational explanations
, 2021 Over the last few years there has been rapid research growth into eXplainable Artificial Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for this growth include recent legislative changes and increased investments
Cruz, Francisco +5 more
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xxAI - Beyond Explainable Artificial Intelligence
, 2022 310The success of statistical machine learning from big data, especially of deep learning, has made artificial intelligence (AI) very popular. Unfortunately, especially with the most successful methods, the results are very difficult to comprehend by ...
Moon, T. +5 more
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Context-Aware Negative Sampling for Sequential Recommendation
IEEE AccessRecommender systems have become essential in large-scale e-commerce and content platforms. While user preferences are crucial in generating recommendations, the context in which recommendations are made—such as time, location, and occasion— ...
Jinseok Seol, Jaesik Choi
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Research Progress of Interpretable Artificial Intelligence [PDF]
Jisuanji gongchengArtificial intelligence has made remarkable progress across many fields, encouraging countries to attach great importance to its research and development.
LIAO Yong, HAN Xiaojin, LIU Jinlin, WANG Hao
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