Results 61 to 70 of about 88,463 (183)
Prediction of infectious disease epidemics via weighted density ensembles
, 2017 Accurate and reliable predictions of infectious disease dynamics can be valuable to public health organizations that plan interventions to decrease or prevent disease transmission.
Ray, Evan L., Reich, Nicholas G.
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Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks
, 2019 Short-term traffic flow prediction is one of the crucial issues in intelligent transportation system, which is an important part of smart cities. Accurate predictions can enable both the drivers and the passengers to make better decisions about their ...
Bahrak, Behnam +2 more
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Single classifier vs. ensemble machine learning approaches for mental health prediction
Brain Informatics, 2023 Early prediction of mental health issues among individuals is paramount for early diagnosis and treatment by mental health professionals. One of the promising approaches to achieving fully automated computer-based approaches for predicting mental health ...
Jetli Chung, Jason Teo
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Compact Multi-Class Boosted Trees
, 2017 Gradient boosted decision trees are a popular machine learning technique, in part because of their ability to give good accuracy with small models. We describe two extensions to the standard tree boosting algorithm designed to increase this advantage ...
Colthurst, Thomas +4 more
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Scientific Reports, 2021 High precision is optimal in prehospital diagnostic algorithms for strokes and large vessel occlusions. We hypothesized that prehospital diagnostic algorithms for strokes and their subcategories using machine learning could have high predictive value ...
Yosuke Hayashi +10 more
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Decision model of college students’ tourism consumption based on mobile social network
Discover Artificial IntelligenceThe advent of the internet age has accelerated the transformation of the Internet economy. The “Internet plus tourism” model has created unlimited development opportunities for online companies and tourism enterprises. However, the vast amount of tourism
Baimei Xu
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Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches
, 2018 Radar sensors can be used for analyzing the induced frequency shifts due to micro-motions in both range and velocity dimensions identified as micro-Doppler ($\boldsymbol{\mu}$-D) and micro-Range ($\boldsymbol{\mu}$-R), respectively.
Abdulatif, Sherif +4 more
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IJACI : International Journal of Advanced Computing and InformaticsTuberculosis (TB), a deadly infectious disease caused by Mycobacterium tuberculosis (MTB), remains one of the leading causes of death worldwide, particularly in low and middle-income countries. Despite over a century of eradication efforts, TB continues to pose a significant public health challenge.
Amir Hamzah Dinnillah +1 more
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Journal of Hydrology: Regional StudiesStudy region: The Godavari River basin, situated between the geographical coordinates of 73°21′ E to 83°09′ E and 16°07′ N to 22°50′ N, India Study focus: The present study employed an extreme gradient boosting algorithm to enhance bias correction and ...
Chandni Thakur +4 more
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An empirical evaluation of imbalanced data strategies from a practitioner's point of view
, 2018 This research tested the following well known strategies to deal with binary imbalanced data on 82 different real life data sets (sampled to imbalance rates of 5%, 3%, 1%, and 0.1%): class weight, SMOTE, Underbagging, and a baseline (just the base ...
Franceschinell, Rodrigo A. +1 more
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