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Rory Lewis PhD JD

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Papers

Rory Lewis

Welcome to my Papers' Page

During the early years the focus is on parsing and discretizing signals. Its the basis of signal analysis. We used music to create these waves/signals because its so easy to make a particular wave or shape by changing the instrument/note. Post Thesis work is primarily signal analysis, detection and prediction of neurological patterns, particularly those of epilepsy. Domains: KDD, Rough Set Theory, Fuzzy Logic, Genetic Algorithms, propositional Logic and Predicate Calculus. Feel free to email me if you'd like to run experiments on my data sets or if you have any questions.


27. R. Lewis and C. J. Shellenbarger. Continuum Discretization of Nash's Equilibrium in Predicting China’s Growth Model, CIFEr, Computational Intelligence for Financial Engineering and Economics March 2930, New York, NY, pending, 2012.

26. R. Lewis, C. Mello and A. M. White. Travelling Kmoidial Clustering In the Detection of Epileptogenesis International In Proceedings of The ACM SIGMOD/PODS, Scottsdale, AZ, USA, May 20-25, pending, 2012.

25. R. Lewis and A. Waziri. MinedICE: A Knowledge Discovery Platform For Neurophysiological Artificial Intelligence. In Proceedings of the 19th International Symposium on Methodologies for Intelligent Systems, ISMIS, Eds. M. Kryszkiewicz, H. Rybinski, A. Skowron, Z.W. Ras, LNAI, Vol. 6804, 575-579, 2011. PDF

24. R. Lewis, B. Parks, D. Shmueli, and A. M. White. Detecting Epileptogenesis in Power Variant Domains.M. Klopotek. Journal of Control and Cybernetics, Eds. M. Klopotek, Alexander Ioffe, KazimierzMalanowski and Fredi Troeltzsch, will appear, 2011. PDF

23. R. Lewis and A. M. White. Multimodal Spectral Analysis and Discrete Finite Automata for Detecting Seizures. Intelligent Agent Technology, in Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence (WI10) and Intelligent Agent Technology (IAT10, Toronto, Canada): Vol 2, 445 -448 , August 31 -Sept 3 2010. PDF

22. R. Lewis, B. Parks, and A. M. White. Determination of Epileptic Seizure Onset From EEG Data UsingSpectral Analysis and Discrete Finite Automata. in Proceedings of the 2010 IEEE International Conference on Granular Computing, Silicon Valley, 277-282, August 14–16 2010. PDF

21. R. Lewis, B. Parks, D. Shmueli, and A. M. White. Deterministic Finite Automata in the Detection of Epileptogenesis in a Noisy Domain. International Conference Intelligent Information Systems (IIS), inProceedings of the Joint venture of the 18th International Conference Intelligent Information Systems(IIS) and the 25th International Conference on Matricidal Intelligence, Siedlce, Poland: 207–218, June 810 2010. PDF

20. X. Zhang, W. Jiang, Z. Ras, and R. Lewis. Blind Music Timbre Source Isolation by Multi-Resolution Comparison of Spectrum Signatures. Rough Sets and Current Trends in Computing (RSCTC) 2010, inProceedings of the Seventh International Conference on RSCTC, Warsaw, Poland, M. Szezula et al.(EDs) RSCTC 2010, LNAI 6068, Springer: 610–619, 2010. PDF

19. R. Lewis and A. M. White. Seizure Detection Using Sequential and Coincident Power Spectra withDeterministic Finite Automata. International Conference on Bioinformatics and Computational Biology, in Proceedings of Bioinformatics and Computational Biology (BIOCOMP) 2010, Las Vegas Nevada, Volume II: 481–488, July 12-15 200. PDF

18. R. Lewis, D. Shmueli, and A. M. White. Deterministic Finite Automata in the Detection of Eeg Spikes and Seizures. in Proceedings of The Joint Venture of the The Ninth International Symposium onIntelligent Data Analysis (IDA), Tuscon, Arizona: 103–113, May, 9-21 2010. PDF

17. T. E. Boult, A. T. Chamillard, R. Lewis, N. Polok, G. Stock, D. Wortman "Innovations in University Education in Innovation: Moving Beyond the B.S." Journal of Innovation Science, Vol 1, Num. 4, pp 167178, Feb. 2010. PDF

16. R. Lewis, J. Kalita, S. Sarmah, and D. Bhattacharyya. Music Industry Scalar Analysis Using Unsupervised Fourier Feature Selection. Recent Advances in Intelligent Information Systems, AcademicPublishing House EXIT, in Proceedings of IIS;09. Krakow, Poland, 562–571, June 15-18 2009. PDF

15. R. Lewis, A. Cohen, W. Jiang, and Z. Ras. Mining Chordal Semantics in a Non-Tagged Music Industry Database. Recent Advances in Intelligent Information Systems, Academic Publishing House EXIT, inProceedings of IIS;09. Krakow, Poland: 473–483, June 15-18 2009. PDF

14. R. Lewis, A. Cohen, W. Jiang, and Z. Ras. Hierarchical Tree for Dissemination of Polyphonic Noise. Rough Sets and Current Trends in Computing, in Proceedings of the 6th International Conferenceon RSCTC ’08, Akron, OH, Springer-Verlag,Berlin, Heidelberg: 448–456, 2008. PDF

13. Rory A. Lewis, Alicja Wieczorkowska. Parameter-Based Categorization for Musical Instrument Retrieval. In Marzena Kryszkiewicz, James F. Peters, Henryk Rybinski, Andrzej Skowron, editors, RoughSets and Intelligent Systems Paradigms, International Conference, RSEISP 2007, Warsaw, Poland, June28-30, 2007, Proceedings. Volume 4585 of Lecture Notes in Computer Science, pages 784-792, Springer,2007. PDF

12. R. Lewis, W. Jiang, and Z. Ras. Mining Scalar Representations in a Non-Tagged Music Database.Foundations of Intelligent Systems, in Proceedings of ISMIS’08 Symposium, Toronto, Canada, LNAI, Springer: 819–824, 2007. PDF

11. R. A. Lewis and A. Wieczorkowska. Categorization of Musical Instrument Sounds Based on Numerical Parameters. Conceptual Structures: Knowledge Architectures for Smart Applications, in Proceedings ofRSEISP LNAI, 15th International Conference on Conceptual Structures, ICCS 2007, Section 3, 87-93,2007. PDF

10. R. Lewis, X. Zhang, and Z. Ras. Mirai: Multi-hierarchical FS-Tree Based Music Information Retrieval System. (Invited Paper) LNAI Springer, in Proceedings of RSEISP 2007, in Warsaw Poland:28–30, June 2007. PDF

9. R. Lewis and Z. Ras. Rules for Processing and Manipulating Scalar Music Theory. IEEE Computer Society April 26-28 MUE 2007 in Seoul Korea, in Proceedings of the International Conference onMultimedia and Ubiquitous Engineering: 819–824, 2007. PDF

8. R. Lewis R., Z. Ras: Facial recognition, Idea Group, Inc, 2008, John Wang (Ed.): Encyclopedia of DataWarehousing and Mining -2nd Edition, Vol. II, pp. 857-862, 2008. PDF

7. A. Wieczorkowska, Z. Ras, X. Zhang, and R. Lewis. Multi-Way Hierarchic Classification of Musical Instrument Sounds. Multimedia and Ubiquitous Engineering (MUE 2007) in Seoul, Korea, in Proceedingsof the IEEE CS International Conference on Multimedia and Ubiquitous Engineering: 897–902, April 2628 2007. PDF

6. R. Lewis, X. Zhang, and Z. Ras. Blind Signal Separation of Similar Pitches and Instruments in a Noisy Polyphonic Domain. Foundations of Intelligent Systems, Proceedings of ISMIS’06 F. Esposito et al. (Eds.)Bari Italy, LNAI, Springer, No. 4203: 228–237, 2006. PDF

5. R. Lewis, X. Zhang, and Z. Ras. Knowledge Discovery Based Identification of Musical Pitches andInstruments in Polyphonic Sounds. International Journal of Engineering Applications of Matricidal Intelligence, Elsevier ISSN:0952-1976, Volume 20 Issue 5: 637–645, August 2007. PDF

4. A. Wieczorkowska, P. Synak, R. Lewis, and Z. Ras. Creating Reliable Database for Experiments on Extracting Emotions from Music. Intelligent Information Processing and Web Mining, Advances in Soft Computing, in Proceedings of the IIS’2005 Symposium, Springer, Gdansk, Poland: 395–404, 2005. PDF

3. A. Wieczorkowska, P. Synak, R. Lewis, and Z. Ras. Extracting Emotions from Music Data.International Symposium on Methodologies for Intelligent Systems (ISMIS) ’05, in Foundations of Intelligent Systems, M. S. Hacid et al. (Eds.), Saratoga Springs, New York, LNAI, Springer, No. 3488: 456–465, 2005. PDF

2. R. Lewis and Z. Ras. New Methodology of Facial Recognition, Part II. Intelligent Information Processing and Web Mining, Advances in Soft Computing, Springer-Verlag, In Proceedings of the IIS ’2005 Symposium, Gdansk, Poland: 625–632, 2005. PDF

1. R. Lewis and Z. Ras. New Methodology of Facial Recognition, Part I. Intelligent Information Processing and Web Mining, Advances in Soft Computing, Springer-Verlag, In Proceedings of the IIS ’2005 Symposium, Gdansk, Poland:615–624, 2005. PDF