A support system for selection of reviewers. - Jaroslaw Protasiewicz (SMC, 2014)

Improvement of MLP models for forecasting electrical energy consumption using OBD and OBS methods. - Jaroslaw Protasiewicz; Jakub S. Sowinski (ICIT, 2015)

Multilingual and Hierarchical Classification of Large Datasets of Scientific Publications. - Jaroslaw Protasiewicz; Tomasz Stanislawek; Slawomir Dadas (SMC, 2015)

A Diversified Classification Committee for Recognition of Innovative Internet Domains. - Marcin Mironczuk; Jaroslaw Protasiewicz (BDAS, 2016)

A hybrid knowledge-based framework for author name disambiguation. - Jaroslaw Protasiewicz; Slawomir Dadas (SMC, 2016)

A recommender system of reviewers and experts in reviewing problems. - Jaroslaw Protasiewicz; Witold Pedrycz; Marek Kozlowski; Slawomir Dadas; Tomasz Stanislawek; Agata Kopacz; Malgorzata Galezewska (Knowl. Based Syst., 2016)

Detection of the Innovative Logotypes on the Web Pages. - Marcin Mironczuk; Michal Perelkiewicz; Jaroslaw Protasiewicz (ICAISC (2), 2017)

Categorization of Multilingual Scientific Documents by a Compound Classification System. - Jaroslaw Protasiewicz; Marcin Mironczuk; Slawomir Dadas (ICAISC (2), 2017)

Inventorum: A platform for open innovation. - Jaroslaw Protasiewicz (SMC, 2017)

Inventorum - A recommendation system connecting business and academia. - Jaroslaw Protasiewicz (SMC, 2017)

A neural framework for online recognition of handwritten Kanji characters. - Malgorzata Grebowiec; Jaroslaw Protasiewicz (FedCSIS, 2018)

A recent overview of the state-of-the-art elements of text classification. - Marcin Mironczuk; Jaroslaw Protasiewicz (Expert Syst. Appl., 2018)

A Deep Learning Model with Data Enrichment for Intent Detection and Slot Filling. - Slawomir Dadas; Jaroslaw Protasiewicz; Witold Pedrycz (SMC, 2019)

Empirical evaluation of feature projection algorithms for multi-view text classification. - Marcin Mironczuk; Jaroslaw Protasiewicz; Witold Pedrycz (Expert Syst. Appl., 2019)

A Neural Network Toolbox for Electricity Consumption Forecasting. - Jaroslaw Protasiewicz (IJCNN, 2020)

A Bidirectional Iterative Algorithm for Nested Named Entity Recognition. - Slawomir Dadas; Jaroslaw Protasiewicz (IEEE Access, 2020)

Recognising innovative companies by using a diversified stacked generalisation method for website classification. - Marcin Mironczuk; Jaroslaw Protasiewicz (Appl. Intell., 2020)

Open access to data on higher education and science: A case study of the RAD-on platform in Poland. - Jaroslaw Protasiewicz; Emil Podwysocki; Sylwia Ostrowska; Aldona Tomczynska (ENIS, 2021)

Security and Communication Models of Failures and Attacks on E-services. - Anna Pira; Jaroslaw Protasiewicz (MIDI, 2023)

Assessing Code Review Quality with ChatGPT: A Survey of Automated Reviewer Assignment Methods and Experimental Outcomes. - Przemyslaw Zydron; Jaroslaw Protasiewicz (MIDI, 2023)