Search Results for author:
Found 7 papers, 1 papers with code
Dataset Optimization for Chronic Disease Prediction with Bio-Inspired Feature Selection
The findings underscore the potential benefits of using bio-inspired optimization algorithms for feature selection in chronic disease prediction, offering valuable insights for improving healthcare outcomes.
DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks
In general, traders test their trading strategies by applying them on the historical market data (backtesting), and then apply to the future trades the strategy that achieved the maximum profit on such past data.
A Stock Trading System for a Medium Volatile Asset using Multi Layer Perceptron
Stock market forecasting is a lucrative field of interest with promising profits but not without its difficulties and for some people could be even causes of failure.
A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues
Dialogue Systems are tools designed for various practical purposes concerning human-machine interaction.
A Novel Resampling Technique for Imbalanced Dataset Optimization
In this work, we developed two versions of Generative Silhouette Resampling 1-Nearest Neighbour (G1Nos) oversampling algorithms for dealing with class imbalance problem.
Towards Ethical Machines Via Logic Programming
Autonomous intelligent agents are playing increasingly important roles in our lives.
