Random Deep Neural Network for Melanoma Recognition. - Bartosz Swiderski; Stanislaw Osowski; Pawel Olszewski; Lukasz Gielata; Monika Slowinska; Iwona Lugowska (IJCNN, 2021)

Deep neural system for supporting tumor recognition of mammograms using modified GAN. - Bartosz Swiderski; Lukasz Gielata; Pawel Olszewski; Stanislaw Osowski; Marcin Kolodziej (Expert Syst. Appl., 2021)

Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection. - Agnieszka Bier; Agnieszka Jastrzebska; Pawel Olszewski (IEEE Access, 2022)

Classification of lungs disease with Electrical impedance tomography. - Barbara Stefaniak; Amelia Kosior-Romanowska; Pawel Tchórzewski; Dariusz Wójcik; Tomasz Rymarczyk; Pawel Olszewski (MobiCom, 2024)

Poster Abstract: A Computer Vision System for Human Motion Monitoring on a Bicycle Trainer. - Marcin Dziadosz; Mariusz Mazurek; Tomasz Rymarczyk; Dariusz Wójcik; Pawel Olszewski (SenSys, 2024)

Poster: Application of differential architecture in neural networks to improve reconstruction quality in ultrasound tomography. - Monika Kulisz; Grzegorz Klosowski; Tomasz Rymarczyk; Konrad Niderla; Pawel Olszewski; Dariusz Wójcik (SenSys, 2025)

RetrySQL: text-to-SQL training with retry data for self-correcting query generation. - Alicja Raczkowska; Riccardo Belluzzo; Piotr Zielinski; Joanna Baran; Pawel Olszewski (CoRR, 2025)