This thesis focuses on developing models and algorithms to predict human activities in online systems and to improve the algorithmic design of personalized/ ...
This dissertation aims to develop statistical models and machine learning algorithms for explanatory and predictive analysis of online human activities. We ...
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Oct 7, 2024 · Recognising human activities from streaming videos poses unique challenges to learning algorithms: predictive models need to be scalable, ...
Catalogue of predictive models in the humanitarian sector
centre.humdata.org › catalogue-for-predi...
To improve transparency, the Centre has created a catalogue of predictive models with information on 'who is doing what, where and when'.
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Aug 7, 2024 · Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques · Abstract and Figures · Citations (5) ...
Oct 27, 2024 · Predictive models in human behavior leverage various machine learning (ML) and deep learning (DL) algorithms to analyze and forecast human ...
In this paper, we present a novel approach of human activity prediction. Human activity prediction is a proba- bilistic process of inferring ongoing ...
Predictive model for the identification of activities of daily living (ADL) in indoor environments using classification techniques based on Machine Learning.
This article aims to review the literature to outline the evolution of the different data mining techniques applied to this health area.
May 28, 2019 · Facial Recognition; Email Spam Detection; News Categorization; Weather Prediction; Medical Diagnosis. Decision Trees. Decision trees build ...