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03/03/2023
LBCIM: Loyalty Based Competitive Influence Maximization with epsilon-greedy MCTS strategy
Competitive influence maximization has been studied for several years, a...
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12/28/2020
Screening COVID-19 Based on CT/CXR Images Building a Publicly Available CT-scan Dataset of COVID-19
The rapid outbreak of COVID-19 threatens humans life all around the worl...
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10/31/2020
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
Regularization plays a vital role in the context of deep learning by pre...
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12/27/2019
Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection
Today, many companies take advantage of viral marketing to promote their...
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06/12/2015
Knowledge Representation in Learning Classifier Systems: A Review
Knowledge representation is a key component to the success of all rule b...
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01/02/2014
Reducing the Computational Cost in Multi-objective Evolutionary Algorithms by Filtering Worthless Individuals
The large number of exact fitness function evaluations makes evolutionar...
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08/15/2012