Concepts and applications of conformal prediction in computational drug discovery
I Cortés-Ciriano, A Bender - 2020 - books.rsc.org
A major research area in machine learning is the development of algorithms to compute the
reliability of individual predictions. Such reliability estimates are essential to increase the …
reliability of individual predictions. Such reliability estimates are essential to increase the …
A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach
R Costa-Mendes, T Oliveira, M Castelli… - Education and …, 2021 - Springer
This article uses an anonymous 2014–15 school year dataset from the Directorate-General
for Statistics of Education and Science (DGEEC) of the Portuguese Ministry of Education as …
for Statistics of Education and Science (DGEEC) of the Portuguese Ministry of Education as …
[HTML][HTML] Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology
Wastewater-based epidemiology is widely applied in Austria since April 2020 to monitor the
SARS-CoV-2 pandemic. With a steadily increasing number of monitored wastewater …
SARS-CoV-2 pandemic. With a steadily increasing number of monitored wastewater …
Modeling and optimization of microbial lipid fermentation from cellulosic ethanol wastewater by Rhodotorula glutinis based on the support vector machine
L Zhang, B Chao, X Zhang - Bioresource technology, 2020 - Elsevier
To establish the models of microbial lipid production from cellulosic ethanol wastewater by
R. glutinis, the biomass, lipid yield, and COD removal rate were investigated under different …
R. glutinis, the biomass, lipid yield, and COD removal rate were investigated under different …
Optimization of process parameters for anaerobic fermentation of corn stalk based on least squares support vector machine
C Dong, J Chen - Bioresource technology, 2019 - Elsevier
In order to improve the yield and efficiency of biogas produced from anaerobic fermentation
of corn stalk, least squares support vector machine (LS-SVM) was used to optimize the …
of corn stalk, least squares support vector machine (LS-SVM) was used to optimize the …
Development of a machine vision system using the support vector machine regression (SVR) algorithm for the online prediction of iron ore grades
The mineral industry needs fast and efficient mineral quality monitoring equipment, and a
machine vision system could be a suitable alternative to the traditional quality monitoring …
machine vision system could be a suitable alternative to the traditional quality monitoring …
BIN-CT: Urban waste collection based on predicting the container fill level
The fast demographic growth, together with the population concentration in cities and the
increasing amount of daily waste, are factors that are pushing to the limit the ability of waste …
increasing amount of daily waste, are factors that are pushing to the limit the ability of waste …
Prediction of Covid-19 pandemic based on Regression
AU Mandayam, AC Rakshith… - … on research in …, 2020 - ieeexplore.ieee.org
With the progression in the field of machine learning, predictive analysis has become a key
component for future prediction. As we face the COVID-19 pandemic, it would be helpful to …
component for future prediction. As we face the COVID-19 pandemic, it would be helpful to …
A two-step method for damage identification in moment frame connections using support vector machine and differential evolution algorithm
SM Seyedpoor, MH Nopour - Applied Soft Computing, 2020 - Elsevier
The main aim of this study is to introduce a two-step method for damage identification in
moment frame connections using a support vector machine (SVM) and differential evolution …
moment frame connections using a support vector machine (SVM) and differential evolution …
Vulnerability and protective factors for PTSD and depression symptoms among healthcare workers during COVID-19: A machine learning approach
LCL Portugal, CMF Gama, RM Gonçalves… - Frontiers in …, 2022 - frontiersin.org
Background: Healthcare workers are at high risk for developing mental health problems
during the COVID-19 pandemic. There is an urgent need to identify vulnerability and …
during the COVID-19 pandemic. There is an urgent need to identify vulnerability and …