Rule-based classification procedures related to the unprecisely formulated expert rules. - Marek Kurzynski; Jerzy Sas (SIBGRAPI, 1998)

A progressive global illumination solution considering perceptual factors. - Vladimir Volevich; Jerzy Sas; Karol Myszkowski; Andrei Khodulev; Edward A. Kopylov (SIGGRAPH Abstracts and Applications, 1998)

Hybrid Pattern Recognition Algorithms with the Statistical Model Applied to the Computer-Aided Medical Diagnosis. - Marek Kurzynski; Edward Puchala; Jerzy Sas (ISMDA, 2001)

Decision Support Server Architecture for Mobile Medical Applications. - Marek Kurzynski; Jerzy Sas (ISBMDA, 2004)

Combining Character Level Classifier and Probabilistic Lexicons in Handwritten Word Recognition - Comparative Analysis of Methods. - Marek Kurzynski; Jerzy Sas (CAIP, 2005)

Multilevel Recognition of Structured Handprinted Documents - Probabilistic Approach. - Jerzy Sas; Marek Kurzynski (CORES, 2005)

Application of Statistic Properties of Letters Succession in Polish Language to Handprint Recognition. - Jerzy Sas; Marek Kurzynski (CORES, 2005)

Combining Character Classifiers Using Member Classifiers Assessment. - Jerzy Sas; Michal Luzyna (ISDA, 2005)

Application of Three-Level Handprinted Documents Recognition in Medical Information Systems. - Jerzy Sas; Marek Kurzynski (ISBMDA, 2005)

Application of syntactic properties to three-level recognition of polish hand-written medical texts. - Grzegorz Godlewski; Maciej Piasecki; Jerzy Sas (ACM Symposium on Document Engineering, 2006)

Handwriting Recognition Accuracy Improvement by Author Identification. - Jerzy Sas (ICAISC, 2006)

Application of Bidirectional Probabilistic Character Language Model in Handwritten Words Recognition. - Jerzy Sas (IDEAL, 2006)

Semi-automatic Training Sets Acquisition for Handwriting Recognition. - Jerzy Sas; Urszula Markowska-Kaczmar (CAIP, 2007)

Semi-Supervised Handwritten Word Segmentation Using Character Samples Similarity Maximization and Evolutionary Algorithm. - Jerzy Sas; Urszula Markowska-Kaczmar (CISIM, 2007)

Comparison of Feature Reduction Methods in the Text Recognition Task. - Jerzy Sas; Andrzej Zolnierek (ICAISC, 2008)

Semi-automatic Handwritten Word Segmentation Based on Character Width Approximation Via Maximum Likelihood Method and Regression Model. - Jerzy Sas; Marek Kurzynski (Computer Recognition Systems 2, 2008)

Handwritten Word Recognition with Combined Classifier Based on Tri-grams. - Jerzy Sas; Andrzej Zolnierek (Computer Recognition Systems 2, 2008)

Fast automatic speech recognition training with phoneme coverage balancing and late speaker prototype selection. - Jerzy Sas; Bogumila Hnatkowska (IMCSIT, 2009)

Application of Rough Sets in Combined Handwritten Words Classifier. - Jerzy Sas; Andrzej Zolnierek (Computer Recognition Systems 3, 2009)

Distant Co-occurrence Language Model for ASR in LooseWord Order Languages. - Jerzy Sas; Andrzej Zolnierek (Computer Recognition Systems 4, 2011)

Similarity-based training set acquisition for continuous handwriting recognition. - Jerzy Sas; Urszula Markowska-Kaczmar (Inf. Sci., 2012)

Three-Stage Method of Text Region Extraction from Diagram Raster Images. - Jerzy Sas; Andrzej Zolnierek (CORES, 2013)

Pipelined language model construction for Polish speech recognition. - Jerzy Sas; Andrzej Zolnierek (Int. J. Appl. Math. Comput. Sci., 2013)

Logical structure recognition of diagram images. - Jerzy Sas; Urszula Markowska-Kaczmar (FedCSIS, 2015)

Caption-guided patent image segmentation. - Urszula Markowska-Kaczmar; Jerzy Sas; Anastasia Moumtzidou (FedCSIS, 2016)

Acoustic Data Building Toolset for Easy Experimentation with Neural Network-based Speech Recognition in Polish and English. - Jerzy Sas (HSI, 2018)