Machine Learning

Highly cited published articles on machine learning, deep learning, and statistical learning theory from OpenAlex.

Sample of the collection (25 of 193 items)

• Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next University of Naples Federico II Abstract Physics-Informed Neural Networks (PINN) are neural networks (NNs) that encode model equations, like Partial Differential…
• An open source machine learning framework for efficient and transparent systematic reviews Utrecht University Abstract To help researchers conduct a systematic review or meta-analysis as efficiently and transparently as possible, we designed a…
• Crop yield prediction using machine learning: A systematic literature review Wageningen University & Research Machine learning is an important decision support tool for crop yield prediction, including supporting decisions on what crops to grow…
• Optimising the value of the critical appraisal skills programme (CASP) tool for quality appraisal in qualitative evidence synthesis Manchester Academic Health Science Centre The value of qualitative evidence synthesis for informing healthcare policy and practice within evidence-based medicine is increasingly…
• Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects Catholic University of Central Africa Purpose The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by…
• Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures Ben-Gurion University of the Negev Abstract Improving the long-term stability of perovskite solar cells is critical to the deployment of this technology. Despite the great…
• Entrepreneurial ecosystem elements Utrecht University Abstract There is a growing interest in ecosystems as an approach for understanding the context of entrepreneurship at the macro level…
• Machine learning algorithm validation with a limited sample size University of Manchester Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based data collection methods have led to a…
• Proceedings of the Human Factors and Ergonomics Society 2019 Annual Meeting OpenAlex This lecture discusses the validation of a new scale, the Trust of Automated Systems Test (TOAST). As we increasingly rely on automated…
• Recent advances and applications of machine learning in solid-state materials science Martin Luther University Halle-Wittenberg Abstract One of the most exciting tools that have entered the material science toolbox in recent years is machine learning. This…
• Machine Learning Interpretability: A Survey on Methods and Metrics Universidade do Porto Machine learning systems are becoming increasingly ubiquitous. These systems’s adoption has been expanding, accelerating the shift…
• Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network Tsinghua University Industry devices (i.e., entities) such as server machines, spacecrafts, engines, etc., are typically monitored with multivariate time…
• Gradual Internationalization vs Born-Global/International new venture models Rollins College Purpose During the last two decades, studies on the theoretical models in the area of international business (IB), such as gradual…
• Model Cards for Model Reporting Margaret Mitchell et al. Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine,…
• Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories Nordic Institute for Studies in Innovation, Research and Education Citations are increasingly used as performance indicators in research policy and within the research system. Usually, citations are…
• Understanding blockchain technology for future supply chains: a systematic literature review and research agenda Cardiff University Purpose This paper aims to investigate the way in which blockchain technology is likely to influence future supply chain practices and…
• Flood Prediction Using Machine Learning Models: Literature Review Norwegian University of Science and Technology Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood…
• Flexible Coding of In-depth Interviews: A Twenty-first-century Approach University of Wisconsin–Madison Qualitative coding procedures emanating from grounded theory were limited by technologies of the 1960s: colored pens, scissors, and…
• The iNaturalist Species Classification and Detection Dataset California Institute of Technology Existing image classification datasets used in computer vision tend to have a uniform distribution of images across object categories.…
• Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh – A Python package) Maximilian Christ et al. Time series feature engineering is a time-consuming process because scientists and engineers have to consider the multifarious…
• What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability Friedrich-Alexander-Universität Erlangen-Nürnberg The implementation of Industry 4.0 has a far-reaching impact on industrial value creation. Studies on its opportunities and challenges…
• Directed qualitative content analysis: the description and elaboration of its underpinning methods and data analysis process Iranshahr University Qualitative content analysis consists of conventional, directed and summative approaches for data analysis. They are used for provision…
• On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services Peter Gomber et al. The financial services industry has been experiencing the recent emergence of new technology innovations and process disruptions. The…
• Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization University of Wisconsin–Madison In many situations across computational science and engineering, multiple computational models are available that describe a system of…
• LightGBM: A Highly Efficient Gradient Boosting Decision Tree Microsoft Research (United Kingdom) Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations such as…

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