Word cloud explorer: Text analytics based on word clouds

F Heimerl, S Lohmann, S Lange… - 2014 47th Hawaii …, 2014 - ieeexplore.ieee.org
Word clouds have emerged as a straightforward and visually appealing visualization
method for text. They are used in various contexts as a means to provide an overview by …

Detecting depression using an ensemble logistic regression model based on multiple speech features

H Jiang, B Hu, Z Liu, G Wang, L Zhang… - … methods in medicine, 2018 - Wiley Online Library
Early intervention for depression is very important to ease the disease burden, but current
diagnostic methods are still limited. This study investigated automatic depressed speech …

[HTML][HTML] Integrated use of bedside lung ultrasound and echocardiography in acute respiratory failure: a prospective observational study in ICU

B Bataille, B Riu, F Ferre, PE Moussot, A Mari, E Brunel… - Chest, 2014 - Elsevier
BACKGROUND: It has been suggested that the complementary use of echocardiography
could improve the diagnostic accuracy of lung ultrasonography (LUS) in patients with acute …

[HTML][HTML] Efficient email classification approach based on semantic methods

EM Bahgat, S Rady, W Gad, IF Moawad - Ain Shams Engineering Journal, 2018 - Elsevier
Emails have become one of the major applications in daily life. The continuous growth in the
number of email users has led to a massive increase of unsolicited emails, which are also …

Combination of ensembles of regularized regression models with resampling-based lasso feature selection in high dimensional data

AR Patil, S Kim - Mathematics, 2020 - mdpi.com
In high-dimensional data, the performances of various classifiers are largely dependent on
the selection of important features. Most of the individual classifiers with the existing feature …

Multinomial logistic regression ensembles

K Lee, H Ahn, H Moon, RL Kodell… - Journal of …, 2013 - Taylor & Francis
This article proposes a method for multiclass classification problems using ensembles of
multinomial logistic regression models. A multinomial logit model is used as a base classifier …

Logistic regression ensemble for predicting customer defection with very large sample size

H Kuswanto, A Asfihani, Y Sarumaha… - Procedia Computer …, 2015 - Elsevier
Predicting customer defection is an important subject for companies producing cloud based
software. The studied company sell three products (High, Medium and Low Price), in which …

Ensemble of penalized logistic models for classification of high-dimensional data

M Ijaz, Z Asghar, A Gul - Communications in Statistics-Simulation …, 2021 - Taylor & Francis
Classification of High-dimensional data, such as gene expression data having far more
variables (genes) than observations, is challenging. Classifiers aggregation known as …

Improving risk prediction of Clostridium difficile infection using temporal event-pairs

M Monsalve, S Pemmaraju, S Johnson… - 2015 International …, 2015 - ieeexplore.ieee.org
Clostridium Difficile Infection (CDI) is a contagious healthcare-associated infection that
imposes a significant burden on the healthcare system. In 2011 alone, half a million patients …

[PDF][PDF] A multi-class classification using ensembles of multinomial logistic regression models

K Lee - 2010 - repo.library.stonybrook.edu
This research proposes a method for multi-way classification problems using ensembles of
multinomial logistic regression models. A multinomial logit model is used as a base classifier …