Tuning machine learning models using a group search firefly algorithm for credit card fraud detection
Recent advances in online payment technologies combined with the impact of the COVID-
19 global pandemic has led to a significant escalation in the number of online transactions …
19 global pandemic has led to a significant escalation in the number of online transactions …
Application of natural language processing and machine learning boosted with swarm intelligence for spam email filtering
Spam represents a genuine irritation for email users, since it often disturbs them during their
work or free time. Machine learning approaches are commonly utilized as the engine of …
work or free time. Machine learning approaches are commonly utilized as the engine of …
Multi-swarm algorithm for extreme learning machine optimization
There are many machine learning approaches available and commonly used today,
however, the extreme learning machine is appraised as one of the fastest and, additionally …
however, the extreme learning machine is appraised as one of the fastest and, additionally …
Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection
Feature selection and hyper-parameters optimization (tuning) are two of the most important
and challenging tasks in machine learning. To achieve satisfying performance, every …
and challenging tasks in machine learning. To achieve satisfying performance, every …
Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm
Computer resources provision over the internet resulted in the wide spread usage of cloud
computing paradigm. With the use of such resources come certain challenges that can …
computing paradigm. With the use of such resources come certain challenges that can …
Sine cosine algorithm for simple recurrent neural network tuning for stock market prediction
L Jovanovic, N Milutinovic, M Gajevic… - 2022 30th …, 2022 - ieeexplore.ieee.org
Deep artificial neural networks have recently gained popularity in the time series forecasting
literature. Recurrent neural networks' higher suitability for this type of problem is the reason …
literature. Recurrent neural networks' higher suitability for this type of problem is the reason …
Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets
The extreme learning machine (ELM) stands out as a contemporary neural network learning
model designed for neural networks, specifically emphasizing those with a single hidden …
model designed for neural networks, specifically emphasizing those with a single hidden …
Intrusion detection by xgboost model tuned by improved social network search algorithm
The industry 4.0 flourished recently due to the advances in a number of contemporary fields,
alike artificial intelligence and internet of things. It significantly improved the industrial …
alike artificial intelligence and internet of things. It significantly improved the industrial …
Forecasting ethereum price by tuned long short-term memory model
Cryptocurrencies have established a firm position in the economic world in the past decade,
with thousands of distinctive currencies available for electronic payments. The majority of …
with thousands of distinctive currencies available for electronic payments. The majority of …
The xgboost tuning by improved firefly algorithm for network intrusion detection
L Jovanovic, D Jovanovic, M Antonijevic… - … on Symbolic and …, 2022 - ieeexplore.ieee.org
Research proposed in this article presents a novel improved version of widely adopted firefly
algorithm and its application for tuning the eXtreme Gradient Boosting (XGboost) hyper …
algorithm and its application for tuning the eXtreme Gradient Boosting (XGboost) hyper …