Results 11 to 20 of about 1,710,361 (207)
Measuring Raven’s Progressive Matrices Combining Eye-Tracking Technology and Machine Learning (ML) Models [PDF]
Journal of IntelligenceExtended testing time in Raven’s Progressive Matrices (RPM) can lead to increased fatigue and reduced motivation, which may impair cognitive task performance.
Shumeng Ma, Ning Jia
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Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions [PDF]
Journal of Network and Computer Applications, 2021 Cloud computing has rapidly emerged as model for delivering Internet-based utility computing services. In cloud computing, Infrastructure as a Service (IaaS) is one of the most important and rapidly growing fields.
T. Khan, Wenhong Tian, R. Buyya
semanticscholar +1 more source
ML-CB: Machine Learning Canvas Block [PDF]
Proceedings on Privacy Enhancing Technologies, 2021 Abstract With the aim of increasing online privacy, we present a novel, machine-learning based approach to blocking one of the three main ways website visitors are tracked online—canvas fingerprinting. Because the act of canvas fingerprinting uses, at its core, a JavaScript program, and because many of these programs are reused across ...
Nathan Reitinger, Michelle L. Mazurek
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How Machine Learning (ML) is Transforming Higher Education: A Systematic Literature Review
Journal of Information Systems Engineering & Management, 2023 In the last decade, artificial intelligence (AI), machine learning (ML) and learning data analytics have been introduced with great effect in the field of higher education. However, despite the potential benefits for higher education institutions (HIE´s)
A. Pinto +3 more
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Data in Brief, 2022 With this article, we present a repository containing datasets, analysis code, and some outputs related to a paper in press at Cognition. The data were collected as part of a pre-test, pilot test, and main study all designed in SurveyGizmo and ...
Molly S. Quinn +2 more
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Causal ML: Python package for causal inference machine learning
SoftwareX, 2023 “Causality” is a complex concept that is based on roots in almost all subject areas and aims to answer the “why” question. Causal inference is one of the important branches of causal analysis, which assumes the existence of relationships between ...
Yang Zhao, Qing Liu
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How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy [PDF]
Journal of Artificial Intelligence Research, 2023 Machine Learning (ML) models are ubiquitous in real-world applications and are a constant focus of research. Modern ML models have become more complex, deeper, and harder to reason about.
N. Ponomareva +8 more
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ML meets MLn: Machine learning in ligand promoted homogeneous catalysis
Artificial Intelligence Chemistry, 2023 The benefits of using machine learning approaches in the design, optimisation and understanding of homogeneous catalytic processes are being increasingly realised.
Jonathan D. Hirst +7 more
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Journal on Interactive Systems, 2022 The way Complex Machine Learning (ML) models generate their results is not fully understood, including by very knowledgeable users. If users cannot interpret or trust the predictions generated by the model, they will not use them.
Bárbara Gabrielle C. O. Lopes +3 more
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