Browsing Faculty Contributions by Subject "Ensemble learning"
Now showing items 1-7 of 7
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A novel Conceptual Machine Learning Method using Random Conceptual Decomposition
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. ... -
An Ensemble Learning Method Based on Random Subspace Sampling for Palmprint Identification
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Palmprint recognition is an important and widely used biometric modality with high reliability, stability and user acceptability. In this paper we propose a simple and effective ensemble learning method for palmprint ... -
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring
( Elsevier , 2022 , Article)Profile monitoring is a challenging issue in statistical process control (SPC). It aims to use a functional relationship between a response variable and one or more explanatory variable(s) to summarize the quality of a ... -
Cross corpus multi-lingual speech emotion recognition using ensemble learning
( Springer , 2021 , Article)Receiving an accurate emotional response from robots has been a challenging task for researchers for the past few years. With the advancements in technology, robots like service robots interact with users of different ... -
Malicious mining code detection based on ensemble learning in cloud computing environment
( Elsevier B.V. , 2021 , Article)Hackers increasingly tend to abuse and nefariously use cloud services by injecting malicious mining code. This malicious code can be spread through infrastructures in the cloud platforms and pose a great threat to users ... -
Plastic hinge length of rectangular RC columns using ensemble machine learning model
( Elsevier , 2021 , Article)It is critical to properly define the plastic hinge region (the region that is exposed to maximum plastic deformation) of reinforced concrete (RC) columns to assess their performances in terms of ductility and energy ... -
Pulmonary Fibrosis Progression Prediction Using Image Processing and Machine Learning
( Springer Nature , 2021 , Book chapter)The onset of COVID-19 has focused the attention of the research community on lung diseases and conditions. Idiopathic pulmonary fibrosis (IPF), in which internal scarring of the lung takes place, has gone undetected among ...