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A profit-driven Artificial Neural Network (ANN) with applications to fraud detection and direct marketing
(Elsevier, 2016-01-26)
The rapid growth in data capture and computational power has led to an increasing focus on data-driven research. So far, most of the research is focused on predictive modeling using statistical optimization, while profit ...
Profit-based artificial neural network (ANN) trained by migrating birds optimization: a case study in credit card fraud detection
(World Academy of Science, Engineering and Technology, 2015)
A typical classification technique ranks the instances in a data set according to the likelihood of belonging to one (positive) class. A credit card (CC) fraud detection model ranks the transactions in terms of probability ...
Neural network based digital pre-distorter design for DCO-OFDM visible light communications
(IEEE, 2022)
Direct current biased optical orthogonal frequency division multiplexing (DCO-OFDM) is an appealing modulation scheme for reliable, high-speed optical transmissions and foreseen to be used in the upcoming IEEE 802.11bb ...
Language inference with multi-head automata through reinforcement learning
(IEEE, 2020)
The purpose of this paper is to use reinforcement learning to model learning agents which can recognize formal languages. Agents are modeled as simple multi-head automaton, a new model of finite automaton that uses multiple ...
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