Recommending HTML-documents using Features Guided Automated Collaborative Filtering. - Gabriela Polcicová (ADBIS (Short Papers), 1999)

Combining Content-Based and Collaborative Filtering. - Gabriela Polcicová; R. Slovák; Pavol Návrat (ADBIS-DASFAA Symposium, 2000)

Semantic Similarity in Content-Based Filtering. - Gabriela Polcicová; Pavol Návrat (ADBIS, 2002)

Introducing a Star Topology into Latent Class Models for Collaborative Filtering. - Gabriela Polcicová; Peter Tiño (AIAI, 2004)

Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patterns. - Gabriela Polcicová; Peter Tiño (Neural Networks, 2004)

Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning. - Gabriela Grmanová; Viera Rozinajová; Anna Bou Ezzeddine; Mária Lucká; Peter Lacko; Marek Lóderer; Petra Vrablecová; Peter Laurinec (NaBIC, 2015)

Using biologically inspired computing to effectively improve prediction models. - Anna Bou Ezzeddine; Marek Lóderer; Peter Laurinec; Petra Vrablecová; Viera Rozinajová; Mária Lucká; Peter Lacko; Gabriela Grmanová (Int. J. Hybrid Intell. Syst., 2016)

Automatic Query Refining Based on Eye-Tracking Feedback. - Alena Martonova; Jozef Marcin; Pavol Návrat; Jozef Tvarozek; Gabriela Grmanová (Comput. Informatics, 2019)

Prediction of Photovoltaic Power Using Nature-Inspired Computing. - Miroslav Sumega; Anna Bou Ezzeddine; Gabriela Grmanová; Viera Rozinajová (ICSI, 2020)

Expert enhanced dynamic time warping based anomaly detection. - Matej Kloska; Gabriela Grmanová; Viera Rozinajová (Expert Syst. Appl., 2023)

Beyond privacy and security: Exploring ethical issues of smart metering and non-intrusive load monitoring. - Adrian Gavornik; Juraj Podrouzek; Stefan Oresko; Natália Slosiarová; Gabriela Grmanová (Telematics Informatics, 2024)

Latent Space Representation of Electricity Market Curves for Improved Prediction Efficiency. - Martin Výboh; Zuzana Chladná; Gabriela Grmanová; Mária Lucká (CoRR, 2025)