Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction

no code implementations • 18 Dec 2023 • Zahra Ghasemi, Mehdi Nesht, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen

This study introduces an enhanced GP approach entitled multi-equation GP (MEGP) for more accurate prediction of SAG mill throughput.

A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation

no code implementations • 18 Dec 2023 • Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen

This study introduces a hybrid intelligent framework leveraging expert knowledge, machine learning techniques, and evolutionary algorithms to address this research need.

Evolutionary Algorithms feature selection +1

Fake detection in imbalance dataset by Semi-supervised learning with GAN

no code implementations • 2 Dec 2022 • Jinus Bordbar, Saman Ardalan, Mohammadreza Mohammadrezaie, Zahra Ghasemi

This demonstrates the potential of SGAN as a powerful tool for handling minority classes and addressing big data challenges in fake account detection.

Multi-objective Semi-supervised Clustering for Finding Predictive Clusters

no code implementations • 26 Jan 2022 • Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin

This study concentrates on clustering problems and aims to find compact clusters that are informative regarding the outcome variable.

Clustering regression