Michael Scott Brown
According to our database1,
Michael Scott Brown
authored at least 12 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Support Vector Machine for Predicting Student Dropout Under Different Normalization Methods.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Increasing Accuracy in Predicting Student Test Scores with Regression Using Domain Reduction Technique of Principal Component Analysis.
Proceedings of the IEEE Frontiers in Education Conference, 2023
2022
Increasing Accuracy in Predicting Student Test Scores with Neural Networks using Domain Reduction Technique of Principal Component Analysis.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Dynamic- Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Cryptocurrencies.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
2020
Proceedings of the Spring Simulation Conference, 2020
2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2016
Software engineering a multi-layer and scalable autonomous forces "A.I." for professional military training.
Proceedings of the Winter Simulation Conference, 2016
2015
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015
2014
Niche Genetic Algorithms are better than traditional Genetic Algorithms for <i>de novo</i> Protein Folding.
F1000Research, 2014
2013
Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
2012
Appl. Artif. Intell., 2012
2010