Quality of Histograms As Indicator Of Approximate Query Quality. - Agnieszka Chadzynska-Krasowska; Marcin Kowalski (FedCSIS, 2016)

Scalable cyber-security analytics with a new summary-based approximate query engine. - Dominik Slezak; Agnieszka Chadzynska-Krasowska; Joel Holland; Piotr Synak; Rick Glick; Marcin Perkowski (IEEE BigData, 2017)

Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection. - Agnieszka Chadzynska-Krasowska; Pawel Betlinski; Dominik Slezak (ISMIS, 2017)

A Metadata Diagnostic Framework for a New Approximate Query Engine Working with Granulated Data Summaries. - Agnieszka Chadzynska-Krasowska; Sebastian Stawicki; Dominik Slezak (IJCRS (1), 2017)

Ranking Mutual Information Dependencies in a Summary-based Approximate Analytics Framework. - Dominik Slezak; Janusz Borkowski; Agnieszka Chadzynska-Krasowska (HPCS, 2018)

Similarity-Based Accuracy Measures for Approximate Query Results. - Agnieszka Chadzynska-Krasowska (IPMU (2), 2018)

IEEE BigData 2019 Cup: Suspicious Network Event Recognition. - Andrzej Janusz; Daniel Kaluza; Agnieszka Chadzynska-Krasowska; Bartek Konarski; Joel Holland; Dominik Slezak (IEEE BigData, 2019)

Approximate Decision Tree Induction over Approximately Engineered Data Features. - Dominik Slezak; Agnieszka Chadzynska-Krasowska (IJCRS, 2020)

Do Data Scientists Dream About Their Skills' Assessment? - Transforming a Competition Platform Into an Assessment Platform. - Dominik Slezak; Andrzej Janusz; Maciej Swiechowski; Agnieszka Chadzynska-Krasowska; Jacek Kaminski (IEEE Big Data, 2024)