Differences
This shows you the differences between two versions of the page.
Next revision Both sides next revision | |||
staff:vatolkin:publications [2020-06-23 11:19] Igor Vatolkin [Peer-Reviewed Conference Proceedings] |
staff:vatolkin:publications [2020-06-23 11:24] Igor Vatolkin [Journal Articles] |
||
---|---|---|---|
Line 23: | Line 23: | ||
===== Journal Articles ===== | ===== Journal Articles ===== | ||
- | <html><b><font color=#006633>[3]</font></b> <i>D. Stoller, I. Vatolkin, H. Müller</i>:<b><font color=#0000FF> Intuitive and Efficient Computer-Aided Music Rearrangement with Optimised Processing of Audio Transitions</font></b>. Accepted for Journal of New Music Research, <html><font color=#996600>2018</font></html> | + | <html><b><font color=#006633>[3]</font></b> <i>A. K. Hassen, H. Janßen, D. Assenmacher, M. Preuss, and I. Vatolkin</i>:<b><font color=#0000FF> Classifying Music Genres Using Image Classification Neural Networks</font></b>. Archives of Data Science, Series A, 5(1):1-18, <html><font color=#996600>2018</font></html> |
+ | |||
+ | <html><b><font color=#006633>[3]</font></b> <i>D. Stoller, I. Vatolkin, H. Müller</i>:<b><font color=#0000FF> Intuitive and Efficient Computer-Aided Music Rearrangement with Optimised Processing of Audio Transitions</font></b>. Journal of New Music Research, 47(5):416-437, <html><font color=#996600>2018</font></html> | ||
<html><b><font color=#006633>[2]</font></b> <i>I. Vatolkin, M. Preuß, G. Rudolph, M. Eichhoff, and C. Weihs</i>:<b><font color=#0000FF> Multi-Objective Evolutionary Feature Selection for Instrument Recognition in Polyphonic Audio Mixtures</font></b>. Soft Computing – A Fusion of Foundations, Methodologies and Applications, 16(12):2027-2047, <html><font color=#996600>2012</font></html> | <html><b><font color=#006633>[2]</font></b> <i>I. Vatolkin, M. Preuß, G. Rudolph, M. Eichhoff, and C. Weihs</i>:<b><font color=#0000FF> Multi-Objective Evolutionary Feature Selection for Instrument Recognition in Polyphonic Audio Mixtures</font></b>. Soft Computing – A Fusion of Foundations, Methodologies and Applications, 16(12):2027-2047, <html><font color=#996600>2012</font></html> |