Environmental sound classification with convolutional neural networks. - Karol J. Piczak (MLSP, 2015)

ESC: Dataset for Environmental Sound Classification. - Karol J. Piczak (ACM Multimedia, 2015)

Recognizing Bird Species in Audio Recordings using Deep Convolutional Neural Networks. - Karol J. Piczak (CLEF (Working Notes), 2016)

The Details That Matter: Frequency Resolution of Spectrograms in Acoustic Scene Classification. - Karol J. Piczak (DCASE, 2017)

Siamese Generative Adversarial Privatizer for Biometric Data. - Witold Oleszkiewicz; Peter Kairouz; Karol J. Piczak; Ram Rajagopal; Tomasz Trzcinski (ACCV (5), 2018)

Siamese Generative Adversarial Privatizer for Biometric Data. - Witold Oleszkiewicz; Tomasz Wlodarczyk; Karol J. Piczak; Tomasz Trzcinski; Peter Kairouz; Ram Rajagopal (CoRR, 2018)

Continual Learning of 3D Point Cloud Generators. - Michal Sadowski; Karol J. Piczak; Przemyslaw Spurek; Tomasz Trzcinski (ICONIP (1), 2021)

Generalisation Gap of Keyword Spotters in a Cross-Speaker Low-Resource Scenario. - Lukasz Lepak; Kacper Radzikowski; Robert Nowak 002; Karol J. Piczak (Sensors, 2021)

Continual Learning with Guarantees via Weight Interval Constraints. - Maciej Wolczyk; Karol J. Piczak; Bartosz Wójcik; Lukasz Pustelnik; Pawel Morawiecki; Jacek Tabor; Tomasz Trzcinski; Przemyslaw Spurek (ICML, 2022)

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks. - Filip Szatkowski; Karol J. Piczak; Przemyslaw Spurek; Jacek Tabor; Tomasz Trzcinski (CoRR, 2022)

Hypernetworks Build Implicit Neural Representations of Sounds. - Filip Szatkowski; Karol J. Piczak; Przemyslaw Spurek; Jacek Tabor; Tomasz Trzcinski (ECML/PKDD (4), 2023)