Citation Impact
Citing Papers
Applied MANOVA and Discriminant Analysis
2005 Standout
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
Evaluation of maxout activations in deep learning across several big data domains
2019
Text Data Augmentation for Deep Learning
2021 Standout
Gender differences in health related behaviour: Some unanswered questions
1991
Nutritional quality and health benefits of chickpea (Cicer arietinumL.): a review
2012 Standout
Measurement of resistant starch: factors affecting the amount of starch escaping digestion in vitro
1992
Constructions of masculinity and their influence on men's well-being: a theory of gender and health
2000 Standout
Resistant starch in the diet increases breath hydrogen and serum acetate in human subjects
1995
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
2009 Standout
A Comprehensive Empirical Study of Count Models for Software Fault Prediction
2007
Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems
2009
Short-Chain Fatty Acids and Human Colonic Function: Roles of Resistant Starch and Nonstarch Polysaccharides
2001 Standout
Combining fuzzy AHP with MDS in identifying the preference similarity of alternatives
2007
A survey on Image Data Augmentation for Deep Learning
2019 Standout
An empirical study of the classification performance of learners on imbalanced and noisy software quality data
2011
A starch hydrolysis procedure to estimate glycemic index
1997 Standout
Effects of eelgrass beds on advection and turbulent mixing in low current and low shoot density environments
1995
Choosing software metrics for defect prediction: an investigation on feature selection techniques
2011
A Systematic Literature Review on Fault Prediction Performance in Software Engineering
2011 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data
2010
Knowledge discovery from imbalanced and noisy data
2009
Improving deep neural network design with new text data representations
2017
Activation functions in deep learning: A comprehensive survey and benchmark
2022 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Decision trees: a recent overview
2011 Standout
An empirical study of predicting software faults with case-based reasoning
2006
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings
2008 Standout
Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study
2005
A survey of transfer learning
2016 Standout
Drag, turbulence, and diffusion in flow through emergent vegetation
1999 Standout
A Comparison of Linear Programming and Parametric Approaches to the Two‐Group Discriminant Problem*
1990
Improving Software-Quality Predictions With Data Sampling and Boosting
2009
The pragmatics of information retrieval experimentation, revisited
1992
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
2011 Standout
A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods
2010 Standout
Works of Alex Weekes being referenced
Intermediate Statistical Methods and Applications: A Computer Package Approach.
1984