Feature selection in machine learning: A new perspective
J Cai, J Luo, S Wang, S Yang - Neurocomputing, 2018 - Elsevier
High-dimensional data analysis is a challenge for researchers and engineers in the fields of
machine learning and data mining. Feature selection provides an effective way to solve this …
machine learning and data mining. Feature selection provides an effective way to solve this …
A new wrapper feature selection approach using neural network
This paper presents a new feature selection (FS) algorithm based on the wrapper approach
using neural networks (NNs). The vital aspect of this algorithm is the automatic …
using neural networks (NNs). The vital aspect of this algorithm is the automatic …
[HTML][HTML] A novel bagging C4. 5 algorithm based on wrapper feature selection for supporting wise clinical decision making
From the perspective of clinical decision-making in a Medical IoT-based healthcare system,
achieving effective and efficient analysis of long-term health data for supporting wise clinical …
achieving effective and efficient analysis of long-term health data for supporting wise clinical …
Feature selection in corporate credit rating prediction
P Hajek, K Michalak - Knowledge-Based Systems, 2013 - Elsevier
Credit rating assessment is a complicated process in which many parameters describing a
company are taken into consideration and a grade is assigned, which represents the …
company are taken into consideration and a grade is assigned, which represents the …
A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual
Computerized clinical decision support systems can help to provide objective, standardized,
and timely dementia diagnosis. However, current computerized systems are mainly based …
and timely dementia diagnosis. However, current computerized systems are mainly based …
Deep feature extraction and classification of breast ultrasound images
Controlled despeckling (structure/edges/feature preservation with smoothing the
homogeneous areas) is a desired pre-processing step for the design of computer-aided …
homogeneous areas) is a desired pre-processing step for the design of computer-aided …
Cardiac arrhythmia classification using neural networks with selected features
M Mitra, RK Samanta - Procedia Technology, 2013 - Elsevier
This research is to present a new approach for cardiac arrhythmia disease classification. An
early and accurate detection of arrhythmia is highly solicited for augmenting survivability. In …
early and accurate detection of arrhythmia is highly solicited for augmenting survivability. In …
[HTML][HTML] Accurate and fast feature selection workflow for high-dimensional omics data
We are moving into the age of 'Big Data'in biomedical research and bioinformatics. This
trend could be encapsulated in this simple formula: D= S* F, where the volume of data …
trend could be encapsulated in this simple formula: D= S* F, where the volume of data …
Supervised geochemical anomaly detection by pattern recognition
AM Gonbadi, SH Tabatabaei, EJM Carranza - Journal of Geochemical …, 2015 - Elsevier
Geochemical anomaly detection is an important issue in mineral exploration. The availability
of a training dataset consisting of labeled geochemical samples of background and anomaly …
of a training dataset consisting of labeled geochemical samples of background and anomaly …