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An interpretable deep learning based approach for chronic obstructive pulmonary disease using explainable artificial intelligence
Artificial intelligence has become like-humans in thinking and interpretations. But its uses
are still limited and are viewed as black boxes, and this is the most important factor …
are still limited and are viewed as black boxes, and this is the most important factor …
Leveraging Machine Learning for Breast Cancer Prognosis: A Systematic Review
A Kajala - 2024 3rd Edition of IEEE Delhi Section Flagship …, 2024 - ieeexplore.ieee.org
Breast cancer, a complex ailment, necessitates early diagnosis and prognosis for effective
treatment. This systematic review examines the application of machine learning (ML) for …
treatment. This systematic review examines the application of machine learning (ML) for …
[HTML][HTML] Is Artificial Intelligence a Game-Changer in Steering E-Business into the Future? Uncovering Latent Topics with Probabilistic Generative Models
Academic publications from the Web of Science Core Collection on “e-business” and
“artificial intelligence”(AI) are investigated to reveal the role of AI, extract latent themes and …
“artificial intelligence”(AI) are investigated to reveal the role of AI, extract latent themes and …
X-OODM: Explainable Object-Oriented Design Methodology
In software applications and decision-making systems, the explainability features can be
instrumental for explicating internal working, accountability, understanding, fairness, and …
instrumental for explicating internal working, accountability, understanding, fairness, and …