Data-driven analysis on the subbase strain prediction: A deep data augmentation-based study

a study on insurer solvency by panel data model: the case of iranian insurance market

the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis

Dermoscopic skin images are often obtained with different imaging devices, under varying acquisition conditions. In this work, instead of attempting to perform intensity and color normalization, we propose to leverage computational color constancy techniques to build an artificial data augmentation technique suitable for this kind of images. Specifically, we apply the shades of gray color const...

Analysis of fishing trend and prediction of fisheries potential based on catch data analyses (case study: the Caspian Sea)

The simple linear model and catch data from Caspian Sea during a decade were used to assess the state of the fishery in this region. Also fishery trends were analysed to determine the catch fluctuation during the period. Fishing potential of the species for the following year was predicted. Catch trend analyses of bony fishes showed incremental or decreasing patterns for different species. Howe...

Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining

This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

Bayesian Prediction in Spatial Data Analysis