About me

Matevž Pesek
Matevž is a doctoral student at the Faculty of Computer and Information Science, University of Ljubljana. He received his B.Sc. in computer science in 2012, where he is currently working on his Ph.D. and has been working as a teaching assistant since. He is a member of the Laboratory of Computer Graphics and Multimedia since 2009. His research interests are biologically-inspired models, deep architectures including compositional hierarchical modelling and music multi-modal perception, including human-computer interaction, and visualization for audio analysis and music generation.

 

Publications

My CV can be found here.

Journals

  • [PDF] M. Pesek, A. Leonardis, and M. Marolt, “Robust real-time music transcription with a compositional hierarchical model,” PloS one, vol. 12, iss. 1, pp. 1-21, 2017.
  • M. Pesek, G. Strle, A. Kavčič, and M. Marolt, “The Moodo dataset : integrating user context with emotional and color perception of music for affective music information retrieval,” Journal of new music research, pp. 1-15, 2017. http://www.tandfonline.com/doi/full/10.1080/09298215.2017.1333518?scroll=top&needAccess=true
  • [PDF] M. Pesek, G. Strle, and M. Marolt, “Uporabniški vmesniki in metodologija pridobivanja večmodalnih podatkov o glasbi,” Elektrotehniški vestnik, vol. 82, iss. 3, pp. 93-101, 2015.

Books

Conferences

  • [PDF] M. Pesek, A. Isaković, G. Strle, and M. Marolt, “Improving the usability of online usability surveys with an interactive Stripe scale,” in Interakcija človek-računalnik v informacijski družbi : zbornik 19. mednarodne multikonference Informacijska družba – IS 2016, 11. oktober 2016, [Ljubljana, Slovenija] : zvezek E : proceedings of the 19th International Multiconference Information Society – IS 2016, 11 October 2016, Ljubljana, Slovenia : volume E, 2016, pp. 21-24.
  • [PDF] M. Pesek, A. Leonardis, and M. Marolt, “SymCHMMerge – hypothesis refinement for pattern discovery with a compositional hierarchical model,” in MML 2016 : proceedings : held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (ECML/PKDD 2016), 2016, pp. 46-50.
  • [PDF] M. Pesek, A. Leonardis, and M. Marolt, “Pattern discovery and music similarity with compositional hierarchical model,” in CogMIR : August 12, 2016, Columbia University, New York, 2016, p. 8.
  • [PDF] G. Strle, M. Pesek, and M. Marolt, “Emotions and personality in personalized services : models, evaluation and applications.” [S. l.] : Springer, cop. 2016, 2016, pp. 327-353.
  • [PDF] M. Pesek, D. Kuhl, M. Baloh, and M. Marolt, “ZaznajSpoznaj – a modifiable platform for accessibility and inclusion of visually-impaired elementary school children,” in Proceedings / International Conference on Informatics in Schools – ISSEP 2015, September 28 – October 1, Ljubljana, Slovenia, 2015, pp. 173-179.
  • M. Pesek, A. Leonardis, and M. Marolt, “Towards pattern discovery in symbolic music representations using a compositional hierarchical model,” in Zbornik štiriindvajsete mednarodne Elektrotehniške in računalniške konference ERK 2015, 21. – 23. september 2015, Portorož, Slovenija, 2015, pp. 57-60.
  • [PDF] M. Pesek, L. Zakrajšek, and M. Marolt, “WEBCHM : an online tool for music analysis, transcription and annotation,” in ISMIR 2015, 2015, pp. 1-2.
  • M. Pesek, A. Leonardis, and M. Marolt, “Boosting audio chord estimation using multiple classifiers,” in IWSSIP 2014 : proceedings, 2014, pp. 107-110.
  • [PDF] C. Bohak, A. Sodja, M. Marolt, U. Mitrović, and F. Pernuš, “Fast segmentation, conversion and rendering of volumetric data using GPU,” in IWSSIP 2014 : proceedings, 2014, pp. 239-242.
  • M. Pesek, P. Godec, M. Poredoš, G. Strle, J. Guna, E. S. Duh, M. Pogačnik, and M. Marolt, “Gathering a dataset of multi-modal mood-dependent perceptual responses to music,” in UMAP 2014 extended proceedings : posters, demos, late-breaking results and workshop proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization, Aalborg, Denmark, July 7-11, 2014, 2014, pp. 1-12.
  • M. Pesek, P. Godec, M. Poredoš, G. Strle, J. Guna, E. S. Duh, M. Pogačnik, and M. Marolt, “Capturing the mood : evaluation of the moodstripe and moodgraph interfaces,” in ICME 2014, 2014, pp. 1-5.
  • [PDF] A. Kavčič, C. Bohak, M. Pesek, and M. Marolt, “Edoo : involving teachers in the development of e-learning material,” in Open education for a multicultural world : OCWC Global Conference, 23-25 April Ljubljana, Slovenia, 2014, pp. 1-4.
  • [PDF] M. Pesek, A. Leonardis, and M. Marolt, “A compositional hierarchical model for music information retrieval,” in Proceedings of the 15th Conference of the International Society for Music Information Retrieval, ISMIR 2014, October 27-31, 2014, Taipei, Taiwan, 2014, pp. 131-136.
  • [PDF] M. Pesek, P. Godec, M. Poredoš, G. Strle, J. Guna, E. S. Duh, M. Pogačnik, and M. Marolt, “Introducing a dataset of emotional and color responses to music,” in Proceedings of the 15th Conference of the International Society for Music Information Retrieval, ISMIR 2014, October 27-31, 2014, Taipei, Taiwan, 2014, pp. 355-360.
  • M. Pesek, P. Godec, M. Poredoš, G. Strle, J. Guna, E. S. Duh, M. Pogačnik, and M. Marolt, “The MoodStripe – an evaluation of a novel visual interface as an alternative for online response gathering,” in Proceedings of the 7th International Workshop on Semantic Ambient Media Experience (SAME 2014) – Ambient Media Usability, Interaction, and Smart Media Technologies : Helsinki, Finland, 26th October 2014, 2014, pp. 1-4.
  • M. Žerovnik, M. Pesek, and M. Marolt, “Ocenjevanje osnovnih frekvenc z uporabo kompozicionalnega hierarhičnega modela,” in Zbornik triindvajsete mednarodne Elektrotehniške in računalniške konference ERK 2014, 22. – 24. september 2014, Portorož, Slovenija, 2014, pp. 265-268.
  • P. Godec, M. Pesek, M. Poredoš, G. Strle, J. Guna, E. S. Duh, M. Pogačnik, and M. Marolt, “New dataset of emotional and color responses to music,” in Zbornik triindvajsete mednarodne Elektrotehniške in računalniške konference ERK 2014, 22. – 24. september 2014, Portorož, Slovenija, 2014, pp. 309-312.
  • M. Pesek, A. Leonardis, and M. Marolt, “A preliminary evaluation of robustness to noise using the compositional hierarchical model for music information retrieval,” in Zbornik triindvajsete mednarodne Elektrotehniške in računalniške konference ERK 2014, 22. – 24. september 2014, Portorož, Slovenija, 2014, pp. 104-107.
  • M. Pesek, A. Leonardis, and M. Marolt, “Compositional hierarchical model for pattern discovery in music,” in EuroMAC 2014 : abstracts : Eight European Music Analysis Conference, 17-20 September 2014, Leuven, 2014, p. 288.
  • M. Pesek, “Visualizing the compositional hierarchical model : the goal,” in HAMR : hacking audio and music research, Oct. 25-26, 2014, Taipei, Taiwan, 2014, p. 1.