Papers


2010

21.
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):will appea, August 31 -Sept 3 2010.
20.
R. Lewis, B. Parks, and A. M. White. Discrete Finite Automata and KDD for Mining EEG Spikes and Seizures. International Conference on Systems Science, in Proceedings of XVIIth International Conference on Systems Science, Warsaw, Poland:will appear, September 14-16 2010.
19.
R. Lewis, B. Parks, and A. M. White. Determination of Epileptic Seizure Onset From EEG Data Using Spectral Analysis and Discrete Finite Automata. in Proceedings of the 2010 IEEE International Conference on Granular Computing, Silicon Valley, page will appear, August 14-16 2010.
18.
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), in Proceedings of the Joint venture of the 18th International Conference Intelligent Information Systems (IIS) and the 25th International Conference on Artificial Intelligence, Siedlce, Poland:207 – 218, June 8-10 2010.
17.
X. Zhang, W. Jiang, Z. Ra´s, and R. Lewis. Blind Music Timbre Source Isolation by Multi-Resolution Comparison of Spectrum Signatures. Rough Sets and Current Trends in Computing (RSCTC) 2010, in Proceedings of the Seventh International Conference on RSCTC, Warsaw, Poland, M. Szezula et al. (EDs) RSCTC 2010, LNAI 6068, Springer:610–619, 2010.
16.
R. Lewis and A. M. White. Seizure Detection Using Sequential and Coincident Power Spectra with Deterministic 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 2010.
15.
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 on Intelligent Data Analysis (IDA), Tuscon, Arizona, pages 103–113, May, 9-21 2010.

2009

14.
R. Lewis, J. Kalita, S. Sarmah, and D. Bhattacharyya. Music Industry Scalar Analysis Using Unsupervised Fourier Feature Selection. Recent Advances in Intelligent Information Systems, in Proceedings of IIS’09. Krakow, Poland:562–571, June 15-18 2009.
13.
R. Lewis, A. Cohen, W. Jiang, and Z. Raś. Mining Chordal Semantics in a Non-Tagged Music Industry Database. <I>Recent Advances in Intelligent Information Systems, Academic Publishing House EXIT</I>, in Proceedings of IIS&rsquo;09. Krakow, Poland:473&ndash;483, June 15-18 2009.

2008

12.
R. Lewis, A. Cohen, W. Jiang, and Z. Raś. Hierarchical Tree for Dissemination of Polyphonic Noise. Rough Sets and Current Trends in Computing, in Proceedings of the 6th International Conference on RSCTC ’08, Akron, OH, Springer-Verlag,Berlin, Heidelberg:448–456, 2008.
11.
R. Lewis, W. Jiang, and Z. Raś. 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.

2007

10.
R. A. Lewis and A. Wieczorkowska. Categorization of Musical Instrument Sounds Based on Numerical Parameters. Conceptual Structures: Knowledge Architectures for Smart Applications, in Proceedings of RSEISP LNAI, 15th International Conference on Conceptual Structures, ICCS 2007, Sheffield, UK, Springer Berlin / Heidelberg, Volume 4604,:784–792, July 22-27 2007
9.
R. Lewis, X. Zhang, and Z. Raś. Mirai: Multi-hierarchical FS-Tree Based Music Information Retrieval System. LNAI Springer, in Proceedings of RSEISP 2007, in Warsaw Poland:28–30, June 2007.
8.
R. Lewis and Z. Raś. 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 on Multimedia and Ubiquitous Engineering:819–824, 2007.
7.
.A. Wieczorkowska, Z. Raś, X. Zhang, and R. Lewis. Multi-Way Hierarchic Classification of Musical Instrument Sounds. Multimedia and Ubiquitous Engineering (MUE 2007) in Seoul, Korea, in Proceedings of the IEEE CS International Conference on Multimedia and Ubiquitous Engineering:897–902, April 26-28 2007.

2006

6.
R. Lewis, X. Zhang, and Z. Raś. 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.
5.
R. Lewis, X. Zhang, and Z. Raś. Knowledge Discovery Based Identification of Musical Pitches and Instruments in Polyphonic Sounds. International Journal of Engineering Applications of Artificial Intelligence, Elsevier ISSN:0952-1976, Volume 20 Issue 5:637–645, August 2007.

2005

4.
A. Wieczorkowska, P. Synak, R. Lewis, and Z. Raś. 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.
3.
A. Wieczorkowska, P. Synak, R. Lewis, and Z. Raś. 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.
2.
R. Lewis and Z. Raś. 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.
1.
R. Lewis and Z. Raś. 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.