Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review
A key aspect of the design of evolutionary and swarm intelligence algorithms is studying
their performance. Statistical comparisons are also a crucial part which allows for reliable …
their performance. Statistical comparisons are also a crucial part which allows for reliable …
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
W Zhao, L Wang, S Mirjalili - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …
proposed in this work to solve optimization problems. The AHA algorithm simulates the …
An aligned rank transform procedure for multifactor contrast tests
Data from multifactor HCI experiments often violates the assumptions of parametric tests (ie,
nonconforming data). The Aligned Rank Transform (ART) has become a popular …
nonconforming data). The Aligned Rank Transform (ART) has become a popular …
Nonparametric tests of interaction in experimental design
SS Sawilowsky - Review of Educational Research, 1990 - journals.sagepub.com
Until recently the design of experiments in the behavioral and social sciences that focused
on interaction effects demanded the use of the parametric analysis of variance. Yet …
on interaction effects demanded the use of the parametric analysis of variance. Yet …
An advanced CNN-LSTM model for cryptocurrency forecasting
Nowadays, cryptocurrencies are established and widely recognized as an alternative
exchange currency method. They have infiltrated most financial transactions and as a result …
exchange currency method. They have infiltrated most financial transactions and as a result …
Prediction of students' academic performance based on courses' grades using deep neural networks
A Nabil, M Seyam, A Abou-Elfetouh - IEEE Access, 2021 - ieeexplore.ieee.org
Predicting students' academic performance at an early stage of a semester is one of the
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
Patiromer in patients with kidney disease and hyperkalemia receiving RAAS inhibitors
MR Weir, GL Bakris, DA Bushinsky… - … England Journal of …, 2015 - Mass Medical Soc
Background Hyperkalemia increases the risk of death and limits the use of inhibitors of the
renin–angiotensin–aldosterone system (RAAS) in high-risk patients. We assessed the safety …
renin–angiotensin–aldosterone system (RAAS) in high-risk patients. We assessed the safety …
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
Classification datasets often have an unequal class distribution among their examples. This
problem is known as imbalanced classification. The Synthetic Minority Over-sampling …
problem is known as imbalanced classification. The Synthetic Minority Over-sampling …
Alzheimer's disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion
Alzheimer's disease (AD) will become a global burden in the coming decades according to
the latest statistical survey. How to effectively detect AD or MCI (mild cognitive impairment) …
the latest statistical survey. How to effectively detect AD or MCI (mild cognitive impairment) …
Credit scoring based on tree-enhanced gradient boosting decision trees
W Liu, H Fan, M Xia - Expert Systems with Applications, 2022 - Elsevier
Credit scoring is an important tool for banks and lending companies to realize credit risk
exposure management and gain profits. GBDTs, a group of boosting-type ensemble …
exposure management and gain profits. GBDTs, a group of boosting-type ensemble …