- Using artificial neural networks to determine the lag space for mathematical systems. The lag space is any intermediate dimensions in a time series that are not used in the determination of the time series’ next step. For a system such as the weather, we are attempted to identify exactly which previous days determine today’s weather. Other places to learn about this project:
- Using artificial neural networks to determine the Lyapunov Spectrum of dynamical systems and our work compares neural networks to traditionally used local linear models. (Preprint)
- For more information, such as preprints, data files, etc. please visit our research page.
- Using social network analysis to study the organizational network of the substance abuse treatment field (Paper)
- Assessing Alcohol Abuse Statistics Through Data Analysis Of Social Networking Sites (PDF)
Selected Research Publications
- Adam N. Maus and Amy K. Atwood. 2015. Surveying Older Adults About a Recommender System for a Digital Library. In Proceedings of the 20th International Conference on Intelligent User Interfaces Companion (IUI Companion ’15). ACM, New York, NY, USA, 41-44.
- Neural network method for determining embedding dimension of a time series. Communications in Nonlinear Science and Numerical Simulations. Volume 16, Issue 8, August 2011, Pages 3294-3302.
- Evaluating Lyapunov Exponent Spectra with Neural Networks. Chaos, Solitons & Fractals. Volume 51, June 2013, Pages 13-21. Preprint (PDF)
To see a more complete list of publications, please visit https://www.researchgate.net/profile/Adam_Maus/publications