A review of machine learning techniques in Imbalanced Data and Future trends
E Jafarigol, T Trafalis - arXiv preprint arXiv:2310.07917, 2023 - arxiv.org
For over two decades, detecting rare events has been a challenging task among
researchers in the data mining and machine learning domain. Real-life problems inspire …
researchers in the data mining and machine learning domain. Real-life problems inspire …
A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs
E Jafarigol, TB Trafalis - Computational Management Science, 2024 - Springer
The classification of weather data involves categorizing meteorological phenomena into
classes, thereby facilitating nuanced analyses and precise predictions for various sectors …
classes, thereby facilitating nuanced analyses and precise predictions for various sectors …
Machine learning for soybean seeds lots classification
The seed germination and vigor evaluation are essential for the sowing sector to measure
the performance of different seed lots and improve the efficiency of storage and sowing …
the performance of different seed lots and improve the efficiency of storage and sowing …
FITTING Data Mining Settings for Ranking Seed Lots
To enhance speed and agility in interpreting physiological quality tests of seeds, The use of
algorithms has emerged. This study aimed to identify suitable machine learning models to …
algorithms has emerged. This study aimed to identify suitable machine learning models to …
Federated Learning with GANs-based Synthetic Minority Over-sampling Technique for Improving Weather Prediction from Imbalanced Data
E Jafarigol, TB Trafalis - 2023 - researchsquare.com
Detecting rare events is a challenging task among machine learning practitioners,
motivating them to navigate and further improve data processing and algorithmic …
motivating them to navigate and further improve data processing and algorithmic …
Experimental Comparison of Network Intrusion Detection Models Solving Imbalanced Data Problem
JH Lee, J Bang, JW Kim, MJ Choi - KNOM Review, 2020 - koreascience.kr
With the development of the virtual community, the benefits that IT technology provides to
people in fields such as healthcare, industry, communication, and culture are increasing …
people in fields such as healthcare, industry, communication, and culture are increasing …
[引用][C] Uncovering the Potential of Federated Learning: Addressing Algorithmic and Data-driven Challenges under Privacy Restrictions
E Jafarigol - 2023