WOA + BRNN: An imbalanced big data classification framework using Whale optimization and deep neural network

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A synthetic informative minority over-sampling (SIMO) algorithm leveraging support vector machine to enhance learning from imbalanced datasets

(2018) Saeed Piri et al.   DECISION SUPPORT SYSTEMS

The impact of special days in call arrivals forecasting: A neural network approach to modelling special days

(2018) Devon Barrow et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings

(2018) Andreas P. Plageras et al.   Future Generation Computer Systems-The International Journal of eScience

A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction

(2018) Qinbao Song et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction

(2018) Kwabena Ebo Bennin et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Creating Strategic Business Value from Big Data Analytics: A Research Framework

(2018) Varun Grover et al.   JOURNAL OF MANAGEMENT INFORMATION SYSTEMS

Service Orchestration of Optimizing Continuous Features in Industrial Surveillance Using Big Data Based Fog-Enabled Internet of Things

(2018) Sadia Din et al.   IEEE Access

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

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

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(2017) Lina Zhou et al.   NEUROCOMPUTING

Marginally Stable Triangular Recurrent Neural Network Architecture for Time Series Prediction

(2017) Seshadri Sivakumar et al.   IEEE Transactions on Cybernetics

Deep Recurrent neural network vs. support vector machine for aspect-based sentiment analysis of Arabic hotels’ reviews

(2017) Mohammad Al-Smadi et al.   Journal of Computational Science

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Training feedforward neural networks using multi-verse optimizer for binary classification problems

(2016) Hossam Faris et al.   APPLIED INTELLIGENCE

Connectome sensitivity or specificity: which is more important?

(2016) Andrew Zalesky et al.   NEUROIMAGE

How effective is the Grey Wolf optimizer in training multi-layer perceptrons

(2015) Seyedali Mirjalili   APPLIED INTELLIGENCE

Implementation of the RBF neural chip with the back-propagation algorithm for on-line learning

(2015) J.S. Kim et al.   APPLIED SOFT COMPUTING

Back propagation neural network with adaptive differential evolution algorithm for time series forecasting

(2015) Lin Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

(2015) Seyedali Mirjalili   NEURAL COMPUTING & APPLICATIONS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Flood flow forecasting using ANN, ANFIS and regression models

(2013) M. Rezaeianzadeh et al.   NEURAL COMPUTING & APPLICATIONS