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Journal of Intelligent Learning Systems and Applications

Journal of Intelligent Learning Systems and Applications

Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org
"Training with Input Selection and Testing (TWIST) Algorithm: A Significant Advance in Pattern Recognition Performance of Machine Learning"
written by Massimo Buscema, Marco Breda, Weldon Lodwick,
published by Journal of Intelligent Learning Systems and Applications, Vol.5 No.1, 2013
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
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[15] Use of Machine Learning to Rapidly Predict Positivity to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) Using Basic Clinical Data
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[17] Prediction of Resting Energy Expenditure in Children: May Artificial Neural Networks Improve Our Accuracy?
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[18] PAELC: Predictive Analysis by Ensemble Learning and Classification heart disease detection using beat sound
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[19] Artificial neural networks allow response prediction in squamous cell carcinoma of the scalp treated with radiotherapy
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[27] EEG-based processing and classification methodologies for Autism Spectrum Disorder: A Review
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[29] Cuckoo inspired algorithms for feature selection in heart disease prediction
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[30] A hybrid classification system for heart disease diagnosis based on the RFRS method
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[31] Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study
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[51] Logic and Semantics of Computational Models for the Analysis of Complex Phenomena. Analytical Archaeology of Artificial Adaptive Systems
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[52] Appendix 1 Training with Input Selection and Testing (TWIST)
2013
[53] for the Analysis of Complex Phenomena. Analytical Archaeology of Artificial Adaptive Systems.
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[54] TWIST algorithm and K-CM Neural Networks applied to urinary metabolic profiling: an optimal strategy for pattern classification
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[55] . Logic and Semantics of Computational Models for the Analysis of Complex Phenomena. Analytical Archaeology of Artificial Adaptive Systems
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