References
- H.O. Won, "The Effects of the Neurofeedback Programs on the Function and Stress of High School Students", Journal of Child Care, Vol. 3, No. 14, pp. 315-323, 2008.
- P.N. Friel, "EEG Biofeedback in the Treatment of Attention Deficit/Hyperactivity Disorder", Alternative Medicine Review, Vol. 12, No. 2, 2007.
- M. Galina, Brain Music Treatment Introduction to QEEG and Neurofeedback, 2nd Edition, Elsevier Press, 2009.
- G. John, A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration. http://www0.cs.ucl.ac.uk/.../Gruzelier%20CogProc.pdf.
- J.H. Cho, "A Study of Alpha Brain Wave Characteristics from MRI Scanning in Patients with Anxiety Disorder", Journal of the Korean Physical Society, Vol. 59, No. 4, pp. 2861-2868, 2011. https://doi.org/10.3938/jkps.59.2861
- H. Eric, "Brain Training Against Stress", Stress report, version 4.2, 2005.
- M. Rollin, "The Effects of Different Types of Music on Mood, Tension, and Mental Clarity", International Journal of Alternative Therapies, Vol. 4, No. 1, pp. 75-84, 1998.
- L. Paul, "Social Tagging and Music Information Retrieval", Journal of New Music Research, Vol. 37, No.2, pp. 101-114, June 2008. https://doi.org/10.1080/09298210802479284
- C.P. Fran and C. Daniel, "A Taxonomy of Musical Genres", in Content-Based Multimedia Information Retrieval Access Conference (RIAO), April 2000.
- S. Neel, "Recommender Systems at the Long Tail", in ACM conference on Recommender systems, pp. 1-5, 2011.
- B.M. Sarwar, G. Karypis, J.A. Konstan, and J. Riedl, "Item-based Collaborative Filtering Recommendation Algorithms", in 10th International World Wide Web Conference,2001.
- K. Miyahara, and M.J. Pazzani, "Improvement of Collaborative Filtering with the Simple Bayesian Classifier", Information Processing Society of Japan, Vol. 43, No. 11, 2002.
- P. Melville, R.J. Mooney, and R. Nagarajan, "Content Boosted Collaborative Filtering for Improved Recommendations", Proceedings of the 18th National Conference of Artificial Intelligence, 2002.
- R. Greiner, X. Su, B. Shen, and W. Zhou "Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers", Machine Learning, Vol. 59, No. 3, pp. 297-322, 2005. https://doi.org/10.1007/s10994-005-0469-0
- X. Su, and T.M. Khoshgoftaar, "Collaborative Filtering for Multi-class Data Using Belief Net Algorithms", the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 497-504, 2006.
- W. Jun, A.P. De Vries, and M.J.T. Reinders, "Unifying User-based and Item based Collaborative Filtering Approaches by Similarity Fusion Categories", in Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 501-508, 2006.