Faculty of Computer Science

Bialystok University od Technology

dr hab. inż. JACEK GREKOW

Ksiazka

  • Grekow, J.: The method of conversion an audio signals. DSPA 2004 Digital signal processing and its applications, Moskwa (2004)

  • Grekow, J.: Simulation of Musical Content by 3-D Visualisation. ECMS 2005 &- 19TH European Conference on Modelling and Simulation, Ryga, Łotwa (2005)

  • Grekow, J. and Dimitrova-Grekow, T.: Creating Patterns of Harmonic Components to Recognise and Analyse Musical Content. INISTA 2005 – International Symposium on Innovations in Intelligent Systems and Applications INISTA 2005, Istambuł, Turcja (2005)

  • Grekow, J.: 3D Visualisation of Musical Content. Industrial Simulation Conference 2005 (ISC-2005), Berlin (2005)

  • Grekow, J.: Broadening musical perception by akwets technique visualisation. In: Baroni, M., Addessi, A.R., Caterina, R., Costa, M. (eds.) Proceedings of the 9th International Conference on Music Perception and Cognition. ICMPC9, Bononia University Press, Bologna (2006)

  • Grekow, J.: Analiza treści harmonicznej - główne parametry akwetów. Konferencja Technologii Eksploracji i Reprezentacji Wiedzy, TERW 2007, Hołny Mejera (2007)

  • Grekow, J.: AKWET based visualization of the Moonlight Sonata. International exhibition of video and moving image on synesthesia and visual music - MuVi2. Third International Congress "Synaesthesia: Science & Art", Granada (2009)

  • Grekow, J., Ras, Z.W.: Detecting emotions in classical music from midi files. In: Rauch, J., Ras, Z.W., Berka, P., Elomaa, T. (eds.) Foundations of Intelligent Systems: 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009. Proceedings, pp. 261–270. Springer Berlin Heidelberg, Berlin (2009)

  • Grekow, J.: Automatic detection and visualization of emotions in music. PhD dissertation, Polish-Japanese Academy of Information Technology, Warsaw (2009)

  • Grekow, J., Ras, Z.W.: Emotion based midi files retrieval system. In: Ras, Z.W., Wieczorkowska, A.A. (eds.) Advances in Music Information Retrieval, pp. 261–284. Springer Berlin Heidelberg, Berlin (2010)

  • Grekow, J.: Emotion based music visualization system. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., Ras, Z.W. (eds.) Foundations of Intelligent Systems: 19th International Symposium, ISMIS 2011, Warsaw, Poland, June 28-30, 2011. Proceedings, pp. 523–532. Springer Berlin Heidelberg, Berlin (2011)

  • Odachowski, K. and Grekow, J.: Predicting the final result of sporting events based on changes in bookmarker odds. Advances in knowledge-based and intelligent information and engineering systems, Frontiers in Artificial Intelligence and Applications, vol.243, pp. 278-287 (2012)

  • Grekow, J.: Metoda transformowania muzyki na efekty oswietleniowe. Technika swietlna’2012 : XXI Krajowa Konferencja Oswietleniowa, S. 37-39, Warszawa, Stowarzyszenie Elektryków Polskich, Polski Komitet Oswietleniowy (2012)

  • Grekow, J.: Mood tracking of musical compositions. In: Chen, L., Felfernig, A., Liu, J., Ras, Z.W. (eds.) Foundations of Intelligent Systems: 20th International Symposium, ISMIS 2012, Macau, China, December 4-7, 2012. Proceedings, pp. 228–233. Springer Berlin Heidelberg, Berlin (2012)

  • Odachowski, K., Grekow, J.: Using bookmaker odds to predict the final result of football matches. In: Grana, M., Toro, C., Howlett, R.J., Jain, L.C. (eds.) Knowledge Engineering, Machine Learning and Lattice Computing with Applications: 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers, pp. 196–205. Springer Berlin Heidelberg, Berlin (2013)

  • Grekow, J.: Method of transforming music into 3D figures. Przeglad Elektrotechniczny 89(11), 327–330 (2013)

  • Grekow, J.: Muzyczne efekty oswietleniowe w 4D, Technika swietlna’2013: XXII Krajowa Konferencja Oswietleniowa, Stowarzyszenie Elektryków Polskich. Polski Komitet Oswietleniowy, s. 46-49 (2013)

  • Grekow, J.: Mood tracking of radio station broadcasts. In: Andreasen, T., Christiansen, H., Cubero, J.C., Ras, Z.W. (eds.) Foundations of Intelligent Systems: 21st International Symposium, ISMIS 2014, Roskilde, Denmark, June 25-27, 2014. Proceedings, pp. 184–193. Springer International Publishing, Cham (2014)

  • Grekow, J.: Method of transforming music into 4D figures. Przeglad Elektrotechniczny 91(4), 159–162 (2015)

  • Grekow, J.: Audio features dedicated to the detection of four basic emotions. In: Saeed, K., Homenda, W. (eds.) Computer Information Systems and Industrial Management: 14th IFIP TC 8 International Conference, CISIM 2015, Warsaw, Poland, September 24-26, 2015, Proceedings, pp. 583–591. Springer International Publishing, Cham (2015)

  • Grekow, J.: Emotion detection using feature extraction tools. In: Esposito, F., Pivert, O., Hacid, M.S., Ras, Z.W., Ferilli, S. (eds.) Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings, pp. 267–272. Springer International Publishing, Cham (2015)

  • Grekow, J.: Music emotion maps in arousal-valence space. In: Saeed, K., Homenda, W. (eds.) Computer Information Systems and Industrial Management: 15th IFIP TC8 International Conference, CISIM 2016, Vilnius, Lithuania, September 14-16, 2016, Proceedings, pp. 697–706. Springer International Publishing, Cham (2016)

  • Grekow, J.: Comparative analysis of musical performances by using emotion tracking. In: Kryszkiewicz, M., Appice, A., Slezak, D., Rybinski, H., Skowron,., Ras, Z.W. (eds.) Foundations of Intelligent Systems: 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings, pp. 175–184. Springer International Publishing, Cham (2017)

  • Grekow, J.: Audio features dedicated to the detection of arousal and valence in music recordings. In: 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pp. 40–44. (2017)

  • Grekow, J.: From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces, Studies in Computational Intelligence, vol. 747. Springer, Cham (2018)

  • Grekow, J.: Audio features dedicated to the detection and tracking of arousal and valence in musical compositions. Journal of Information and Telecommunication 2(3), 322–333 (2018), https://doi.org/10.1080/24751839.2018.1463749

  • Grekow, J.: Musical performance analysis in terms of emotions it evokes. Journal of Intelligent Information Systems 51(2), 415–437 (2018), https://doi.org/10.1007/s10844-018-0510-y

  • Grekow, J.: Finding Musical Pieces with a Similar Emotional Distribution throughout the Same Composition. In: 2019 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA), (2019) - Best Paper Award

  • Grekow J.: Static Music Emotion Recognition Using Recurrent Neural Networks. In: Helic D., Leitner G., Stettinger M., Felfernig A., Raś Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2020. Lecture Notes in Computer Science, vol 12117. Springer, Cham (2020) - (selected as one of the best papers)

  • Grekow, J.: Music recommendation based on emotion tracking of musical performances. In: Ras, Z.W., Wieczorkowska, A., Tsumoto, S. (eds.) Recommender Systems for Medicine and Music, pp. 167–186. Springer International Publishing, Cham (2021)

  • Grekow, J.: Music emotion recognition using recurrent neural networks and pretrained models. Journal of Intelligent Information Systems 57(3), 531–546, Springer (2021)

  • Grekow, J.: Generating musical sequences with a given emotion. In: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). pp. 1941–1946 (2021)

  • Grekow, J. and Dimitrova-Grekow, T., Monophonic Music Generation With a Given Emotion Using Conditional Variational Autoencoder, IEEE Access, vol. 9, pp. 129088-129101, (2021)

  • Grekow, J., Generowanie wielogłosowej muzyki o określonej emocji przy użyciu wariacyjnego autoenkodera, Przeglad Elektrotechnicznythis, 2023, 99(6), pp. 225–229

  • Terlecki, D., Grekow, T.D., Grekow, J., Indoor Localisation Based on Wi-Fi Infrastructure, Przeglad Elektrotechnicznythis, 2023, 99(7), pp. 131–134

  • Grekow, J., Generating Polyphonic Symbolic Emotional Music in the Style of Bach Using Convolutional Conditional Variational Autoencoder, in IEEE Access, vol. 11, pp. 93019-93031, 2023, doi: 10.1109/ACCESS.2023.3309639

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