External Validation Measures for Nested Clustering of Text Documents. - Karol Draszawka; Julian Szymanski (ISMIS Industrial Session, 2011)

Thresholding strategies for large scale multi-label text classifier. - Karol Draszawka; Julian Szymanski (HSI, 2013)

Towards Increasing Density of Relations in Category Graphs. - Karol Draszawka; Julian Szymanski; Henryk Krawczyk (Intelligent Tools for Building a Scientific Information Platform, 2014)

Improving css-KNN Classification Performance by Shifts in Training Data. - Karol Draszawka; Julian Szymanski; Francesco Guerra 001 (International KEYSTONE Conference, 2015)

Improving Effectiveness of SVM Classifier for Large Scale Data. - Jerzy Balicki; Julian Szymanski; Marcin Kepa; Karol Draszawka; Waldemar Korlub (ICAISC (1), 2015)

Towards increasing F-measure of approximate string matching in O(1) complexity. - Adrian Boguszewski; Julian Szymanski; Karol Draszawka (FedCSIS, 2016)

Analysis of Denoising Autoencoder Properties Through Misspelling Correction Task. - Karol Draszawka; Julian Szymanski (ICCCI (2), 2017)

Evaluating Asymmetric N-Grams as Spell-Checking Mechanism. - Tomasz Boinski; Artur Zimnicki; Julian Kujawski; Karol Draszawka (HSI, 2018)

Automated Classifier Development Process for Recognizing Book Pages from Video Frames. - Adam Brzeski; Jan Cychnerski; Karol Draszawka; Krystyna Dziubich; Tomasz Dziubich; Waldemar Korlub; Pawel Rosciszewski (ADBIS/TPDL/EDA Workshops, 2020)

Neural network agents trained by declarative programming tutors. - Julian Szymanski; Jan Dobrosolski; Higinio Mora; Karol Draszawka (CEC, 2024)