Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to reshape how marketers place digital ads. AdGazer, a predictive tool, ...
L ast summer one “ricosuave666” won more than $150,000 on Polymarket, a betting platform. Their true identity was not clear, ...
Abstract: The machine learning-based system predicts and analyzes campus placements and provides both the student and placement officer with insight. It considers a diverse set of student attributes, ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
This paper presents a machine learning–based nowcasting framework for estimating quarterly non-oil GDP growth in the Gulf Cooperation Council (GCC) countries. Leveraging machine learning models ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Though they’re ultimately two different lenses, sports betting can provide some smart intel for fantasy football and how players are expected to perform — after all, sportsbooks do an incredible ...
Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study ...
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