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staff:vatolkin:publications [2022-02-01 16:01]
igor.vatolkin [Journal Articles]
staff:vatolkin:publications [2022-02-01 16:23]
igor.vatolkin
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 <​html><​b><​font color=#​006633>​[c37]</​font></​b>​ <i> I. Vatolkin</​i>:<​b><​font color=#​0000FF>​ Improving Interpretable Genre Recognition with Audio Feature Statistics Based on Zygonic Theory</​font></​b>​. Proceedings of the 2nd Nordic Sound and Computing Conference (NordicSMC),​ <font color=#​996600>​2021</​font></​html>​ <​html><​b><​font color=#​006633>​[c37]</​font></​b>​ <i> I. Vatolkin</​i>:<​b><​font color=#​0000FF>​ Improving Interpretable Genre Recognition with Audio Feature Statistics Based on Zygonic Theory</​font></​b>​. Proceedings of the 2nd Nordic Sound and Computing Conference (NordicSMC),​ <font color=#​996600>​2021</​font></​html>​
  
-<​html><​b><​font color=#​006633>​[c36]</​font></​b>​ <i> I. Vatolkin, P. Ginsel, and G. Rudolph</​i>:<​b><​font color=#​0000FF>​ Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade</​font></​b>​. ​Accepted for Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 2383-2389, <font color=#​996600>​2021</​font></​html>​+<​html><​b><​font color=#​006633>​[c36]</​font></​b>​ <i> I. Vatolkin, P. Ginsel, and G. Rudolph</​i>:<​b><​font color=#​0000FF>​ Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade</​font></​b>​. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 2383-2389, <font color=#​996600>​2021</​font></​html>​
  
-<​html><​b><​font color=#​006633>​[c35]</​font></​b>​ <i> I. Vatolkin, F. Ostermann, and M. Müller</​i>:<​b><​font color=#​0000FF>​ An Evolutionary Multi-Objective Feature Selection Approach for Detecting Music Segment Boundaries of Specific Types</​font></​b>​. ​Accepted for Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 1061-1069, <font color=#​996600>​2021</​font></​html>​+<​html><​b><​font color=#​006633>​[c35]</​font></​b>​ <i> I. Vatolkin, F. Ostermann, and M. Müller</​i>:<​b><​font color=#​0000FF>​ An Evolutionary Multi-Objective Feature Selection Approach for Detecting Music Segment Boundaries of Specific Types</​font></​b>​. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 1061-1069, <font color=#​996600>​2021</​font></​html>​
  
-<​html><​b><​font color=#​006633>​[c34]</​font></​b>​ <i> I. Vatolkin, B. Adrian, and J. Kuzmic</​i>:<​b><​font color=#​0000FF>​ A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features</​font></​b>​. ​Accepted for Proceedings of the 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART),​ pp. 313-326, <font color=#​996600>​2021</​font></​html>​+<​html><​b><​font color=#​006633>​[c34]</​font></​b>​ <i> I. Vatolkin, B. Adrian, and J. Kuzmic</​i>:<​b><​font color=#​0000FF>​ A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features</​font></​b>​. Proceedings of the 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART),​ pp. 313-326, <font color=#​996600>​2021</​font></​html>​
  
-<​html><​b><​font color=#​006633>​[c33]</​font></​b>​ <i> I. Vatolkin, M. Koch, and M. Müller</​i>:<​b><​font color=#​0000FF>​ A Multi-Objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation</​font></​b>​. ​Accepted for Proceedings of the 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART),​ pp. 327-343, <font color=#​996600>​2021</​font></​html>​+<​html><​b><​font color=#​006633>​[c33]</​font></​b>​ <i> I. Vatolkin, M. Koch, and M. Müller</​i>:<​b><​font color=#​0000FF>​ A Multi-Objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation</​font></​b>​. Proceedings of the 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART),​ pp. 327-343, <font color=#​996600>​2021</​font></​html>​
  
 <​html><​b><​font color=#​006633>​[c32]</​font></​b>​ <i> I. Vatolkin</​i>:<​b><​font color=#​0000FF>​ Evolutionary Approximation of Instrumental Texture in Polyphonic Audio Recordings</​font></​b>​. Proceedings of the IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, <font color=#​996600>​2020</​font></​html>​ <​html><​b><​font color=#​006633>​[c32]</​font></​b>​ <i> I. Vatolkin</​i>:<​b><​font color=#​0000FF>​ Evolutionary Approximation of Instrumental Texture in Polyphonic Audio Recordings</​font></​b>​. Proceedings of the IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, <font color=#​996600>​2020</​font></​html>​
 
Last modified: 2023-03-21 18:36 by igor.vatolkin
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