Influence of Data Discretization on Efficiency of Bayesian Classifier for Authorship Attribution. - Grzegorz Baron (KES, 2014)

Comparison of Cross-Validation and Test Sets Approaches to Evaluation of Classifiers in Authorship Attribution Domain. - Grzegorz Baron (ISCIS, 2016)

On Influence of Representations of Discretized Data on Performance of a Decision System. - Grzegorz Baron (KES, 2016)

On sequential selection of attributes to be discretized for authorship attribution. - Grzegorz Baron (INISTA, 2017)

Analysis of Multiple Classifiers Performance for Discretized Data in Authorship Attribution. - Grzegorz Baron (KES-IDT (2), 2017)

Application of System on Chip (SoC) devices for the design of a smoke detector working with megapixel image streams. - Wieslaw Pamula; Maciej Sajkowski; Tomasz Stenzel; Jaroslaw Michalak; Grzegorz Baron; Bartlomiej Szady (MMAR, 2017)

Greedy Selection of Attributes to Be Discretised. - Grzegorz Baron (Machine Learning Paradigms, 2019)

Performance evaluation for ranking-based discretisation. - Grzegorz Baron; Urszula Stanczyk (KES, 2020)

Standard vs. non-standard cross-validation: evaluation of performance in a space with structured distribution of datapoints. - Grzegorz Baron; Urszula Stanczyk (KES, 2021)

On heterogeneity or sub-classes aspect in construction of stylometric input datasets. - Urszula Stanczyk; Grzegorz Baron (KES, 2022)

Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ICCS (2), 2023)

Going Deeper than Supervised Discretisation in Processing of Stylometric Features. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ISD, 2023)

Should supervised discretisation always be trusted unreservedly? On combining characteristics of supervised and unsupervised discretisation algorithms in two-step processing. - Urszula Stanczyk; Grzegorz Baron (KES, 2023)

Voting Classifier using Discretisation in Aggregating Decisions. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ISD, 2024)

Observations of data characteristics and irregularities through domain-oriented transformations of attributes. - Urszula Stanczyk; Grzegorz Baron (KES, 2024)

Importance of Characteristic Features and Their Form for Data Exploration. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (Entropy, 2024)

Preserving Informative Content of Condition Attributes in Data Transformations for CRSA. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ICCS (Workshops 4), 2025)

Decision-Making of Homogeneous Multiple Classifiers Based on Attribute Characterisation by Discretisation. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ICCS (Workshops 4), 2025)