About
Research/education assistant, PhD Student, interested in applications of machine learning to music and audio analysis. Other research interest include methods of learning with insufficient labels, such as semi-supervised and weakly supervised learning. He participated in R&D projects regarding the use of ML to analyse music for videogame content creation and applications of weak supervision in Natural Language Processing of sensitive data.
Research Interests
Education
MsC in Computer Science
Wroclaw University of Science and Technology · 2015
Publications
Retrieving sound samples of subjective interest with user interaction
2020 · *Proceedings of the 2020 Federated Conference on Computer Science and Information Systems : September 6-9, 2020, Sofia, Bulgaria*
A neural network approach to Hearthstone win rate prediction
2018 · *Proceedings of the 2018 Federated Conference on Computer Science and Information Systems : September 9-12, 2018, Poznań, Poland*
Evaluation of gated recurrent neural networks in music classification tasks
2018 · *Information Systems Architecture and Technology : Proceedings of 38th International Conference on Information Systems Architecture and Technology, ISAT 2017. Pt. 1*
Similarity-based summarization of music files for support vector machines
2018 · *Complexity*
Dataset enhancement in hair follicle detection: ESENSEI challenge
2018 · *Position Papers of the 2018 Federated Conference on Computer Science and Information Systems : September 9-12, 2018, Poznań, Poland*
Music emotion analysis using semantic embedding recurrent neural networks
2017 · *2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA 2017) : 3-5 July 2017, Gdynia, Poland*
Evaluation of Hearthstone game states with neural networks and sparse autoencoding
2017 · *Proceedings of the 2017 Federated Conference on Computer Science and Information Systems : September 3-6, 2017, Prague, Czech Republic*
Sparse coding methods for music induced emotion recognition
2016 · *Proceedings of the 2016 Federated Conference on Computer Science and Information Systems : September 11–14, 2016, Gdańsk, Poland*
Consensus method for integration of knowledge expressed in form of modal formulas
2013 · *Information systems architecture and technology : intelligent information systems, knowledge discovery, big data and high performance computing*