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Vulnerabilities in Artificial Intelligence and Machine Learning Applications and Data

Shannon Eggers

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Char Sample

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Approximate Dynamic Programming: An Efficient Machine Learning Algorithm

We propose an efficient machine learning algorithm for two-stage stochastic programs. This machine learning algorithm is termed as projected stochastic hybrid learning algorithm, and consists of stochastic sub-gradient and piecewise linear approximation method

Artificial intelligence - Data quality for analytics and machine learning (ML)

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Evolutionary Algorithms

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Machine Learning and Artificial Intelligence for Enhanced Software Engineering: Methods and Applications

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Advancements and Implications of Artificial Intelligence and Machine Learning in Various Domains

This paper explores the advancements and implications of Artificial Intelligence (AI) and Machine Learning (ML) across diverse domains. By synthesizing findings from scholarly articles, patent disclosures, and research papers, the paper delves into the transfo

Rahul Jain

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Machine Learning for Big Data Analytics, Interactive and Reinforcement

Methods of Explainable Artificial Intelligence (XAI), Trustworthy Artificial Intelligence (TAI) and Interpretable Machine Learning (IML) in Renewable Energy

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2

Welcome to the 28th annual conference on Innovation and Technology in Computer Science Education (ITiCSE 2023) at the University of Turku in Finland! ITiCSE 2023 will take place from Friday July 7 to Wednesday July 12. The conference program includes keynote l

Technology Education for Teachers

Every so often a book is published that makes a significant contribution to bringing up to date the literature supporting teachers developing their professionalism. This is such a book. It will have a place internationally on the reading lists of both init

Andy Mitchell

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The Science Centre Health and Technology; a Case Study of a unique arena for progressive health care education; welfare technology and service innovation

Most higher education institutions have taken initiatives to meet the future needs of welfare technology implementation, service innovation and new educational initiatives in the healthand care services. However, many institutions struggle to move beyond pilot

Janne Dugstad

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