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09/19/2023
A multimodal deep learning architecture for smoking detection with a small data approach
Introduction: Covert tobacco advertisements often raise regulatory measu...
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06/13/2023
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews
The efficiency of natural language processing has improved dramatically ...
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04/17/2020
A stochastic approach to handle knapsack problems in the creation of ensembles
Ensemble-based methods are highly popular approaches that increase the a...
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02/21/2020
Efficient Learning of Model Weights via Changing Features During Training
In this paper, we propose a machine learning model, which dynamically ch...
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04/08/2019
Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems
Ensemble-based approaches are very effective in various fields in raisin...
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11/01/2014
A Two-phase Decision Support Framework for the Automatic Screening of Digital Fundus Images
In this paper we give a brief review on the present status of automated ...
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10/30/2014
An Ensemble-based System for Microaneurysm Detection and Diabetic Retinopathy Grading
Reliable microaneurysm detection in digital fundus images is still an op...
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10/30/2014
An ensemble-based system for automatic screening of diabetic retinopathy
In this paper, an ensemble-based method for the screening of diabetic re...
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10/27/2014