Novel machine learning ensemble approach for landslide prediction

2019 ◽  
Author(s):  
C. N. Madawala ◽  
B. T. G. S. Kumara ◽  
L. Indrathilaka
Keyword(s):  
Machine Learning ◽  
Landslide Prediction ◽  
Ensemble Approach

scholarly journals Incorporating Ensemble approach into Automated Machine Learning in an attempt to predict survival time in patients with anaplastic oligodendroglioma: Analysis on the Surveillance, Epidemiology, and End Results (SEER) database

2021 ◽  
Author(s):  
Ali Haider Bangash ◽  
Tauseef Ullah ◽  
Arshiya Fatima ◽  
Saiqa Zehra
Keyword(s):  
Machine Learning ◽  
Risk Stratification ◽  
Survival Time ◽  
Predictive Models ◽  
Morbidity And Mortality ◽  
Anaplastic Oligodendroglioma ◽  
Seer Database ◽  
Ensemble Approach ◽  
Automated Machine Learning ◽  
End Results

Automated machine learning is explored to develop survival time predictive models for anaplastic oligodendroglioma by adopted data from the Surveillance, Epidemiology, and End Results (SEER) database. Such models, when incorporated into risk stratification protocols, would optimize the outcomes and translate into the reduction of morbidity and mortality associated with this neoplastic condition.

scholarly journals Prediction of Glasgow Outcome Scale after Barbiturate Coma Therapy in patients suffering from Refractory Intracranial Hypertension after Brain Tumour Surgery: Incorporating Ensemble approach into automated Machine Learning

2021 ◽  
Author(s):  
Ali Haider Bangash
Keyword(s):  
Machine Learning ◽  
Hospital Mortality ◽  
Intracranial Hypertension ◽  
Brain Tumour ◽  
Glasgow Outcome Scale ◽  
Barbiturate Coma ◽  
Ensemble Approach ◽  
Automated Machine Learning ◽  
Brain Tumour Surgery

Ensemble approach is incorporated into Automated machine learning to predict Glasgow outcome scale and In-hospital mortality in patients receiving Barbiturate coma therapy for refractory intracranial hypertension post Brain tumour surgery.

scholarly journals Applying Ensemble Approach on U.S. Census Data Classification

2021 ◽  
Vol 10 (9) ◽  
pp. 1-11
Author(s):  
Raj Kumar Pal ◽  
Jugal Chaturvedi ◽  
V. Sai Teja ◽  
Leena Shibu
Keyword(s):  
Machine Learning ◽  
Census Data ◽  
Ensemble Approach ◽  
Financial Gain

During this paper, we have a tendency to examine the adult financial gain dataset obtainable at the UC Irvine Machine Learning Repository. To aim predict whether or not associate individual’s financial gain are going to be bigger than $50,000 per annum victimization completely, different boosting and bagging strategies and compare models supported many attributes from the census information.

scholarly journals An Empirical Analysis of Machine Learning Algorithms For Crime Prediction using Stacked Generalization: An Ensemble Approach

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Sapna Singh Kshatri ◽  
Deepak Singh ◽  
Bhavana Narain ◽  
Surbhi Bhatia ◽  
Mohammad Tabrez Quasim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Empirical Analysis ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Crime Prediction ◽  
Ensemble Approach ◽  
Stacked Generalization

scholarly journals Machine Learning based Landslide Prediction System for Hilly Areas

2020 ◽  
Vol 981 ◽  
pp. 032084
Author(s):  
R Archana Reddy ◽  
R Gobinath ◽  
Chilupuri Saloni Khanna ◽  
g Shyamala
Keyword(s):  
Machine Learning ◽  
Prediction System ◽  
Landslide Prediction

Landslide prediction from machine learning

Geology Today ◽  
2014 ◽  
Vol 30 (1) ◽  
pp. 26-33 ◽  
Author(s):  
Oliver Korup ◽  
Amelie Stolle
Keyword(s):  
Machine Learning ◽  
Landslide Prediction
Sign in / Sign up

Export Citation Format

Share Document