Computational intelligence for observation and monitoring: a case study of imbalanced hyperspectral image data classification

D Datta, PK Mallick, J Shafi, J Choi… - Computational …, 2022 - Wiley Online Library
Imbalance in hyperspectral images creates a crisis in its analysis and classification
operation. Resampling techniques are utilized to minimize the data imbalance. Although …

Classification of imbalanced hyperspectral images using ensembled kernel rotational forest

D Datta, PK Mallick… - International Journal of …, 2023 - inderscienceonline.com
Hyperspectral image classification suffers from an imbalance in the samples belonging to its
different classes. In this paper, we propose a two-fold novel approach named oversampler+ …

Analysis of the effectiveness of various machine learning, artificial neural network and deep learning methods in detecting fraudulent credit card transactions

E Çelik, D Dal, F Bozkurt - Erzincan University Journal of Science …, 2022 - dergipark.org.tr
A credit card is an important financial tool that has emerged in parallel with the
developments in technology from the past to the present and has become an indispensable …

Yeniden Örnekleme Metotlarının Kredi Kartı Sahtecilik Tespiti için Topluluk Öğrenmesine Kapsamlı Analizi

AK Ay, E Yolaçan - Afyon Kocatepe Üniversitesi Fen Ve Mühendislik …, 2022 - dergipark.org.tr
Kredi kartı aracılığıyla hızlı ve kolay satın alma işlemleri sahtecilik işlemlerinin artmasına
neden olmuştur. Son yıllarda makine öğrenmesi yöntemlerinin kullanımı sahtecilik tespiti …

[PDF][PDF] A Practical Guide to Support Predictive Tasks in Data Science

JAC Filho, JM Monteiro, CL Mattos, JS Nobre - 2021 - academia.edu
Currently, professionals from the most diverse areas of knowledge need to explore their data
repositories in order to extract knowledge and create new products or services. Several tools …