M.A.H. Farquad

Historical background and current developments for mapping burned area from satellite Earth observation

Cancers Screening in an Asymptomatic Population by Using Multiple Tumour Markers

Biological roles of glycans

Trends in extreme learning machines: A review

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

New progress of Grey System Theory in the new millennium

Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions

PSO-based method for SVM classification on skewed data sets

Analyzing undergraduate students' performance using educational data mining

A big data MapReduce framework for fault diagnosis in cloud-based manufacturing

Learning from class-imbalanced data: Review of methods and applications

Hybrid expert systems: A survey of current approaches and applications

An Educational Data Mining Model for Predicting Student Performance in Programming Course

Applications of machine learning to machine fault diagnosis: A review and roadmap

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

A data mining approach for global burned area mapping

Forecasting dissolved gases content in power transformer oil based on weakening buffer operator and least square support vector machine–Markov

Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithms

Support vector regression based hybrid rule extraction methods for forecasting

Churn prediction using comprehensible support vector machine: An analytical CRM application

Preprocessing unbalanced data using support vector machine