Intelligent Support for Program Development. - Pavol Návrat; Mária Bieliková; Igor Koziak; Viera Rozinajová; Mária Smolárová (PPIG, 1996)

Experiment in Knowledge Based Programing. - Pavol Návrat; Viera Rozinajová (J. King Saud Univ. Comput. Inf. Sci., 1996)

Exploring Social Behaviour of Honey Bees Searching on the Web. - Pavol Návrat; Lucia Jastrzembska; Tomas Jelinek; Anna Bou Ezzeddine; Viera Rozinajová (Web Intelligence/IAT Workshops, 2007)

Bridging the Gap Between Service-Oriented and Object-Oriented Architectures in Information Systems Development. - Viera Rozinajová; Marek Braun; Pavol Návrat; Mária Bieliková (Advances in Information Systems Research, Education and Practice, 2008)

Web search engine working as a bee hive. - Pavol Návrat; Martin Kovacik; Anna Bou Ezzeddine; Viera Rozinajová (Web Intell. Agent Syst., 2008)

One approach to HTML wrappers creation: using Document Object Model tree. - Viera Rozinajová; Ondrej Hluchý (CompSysTech, 2009)

Intelligent Information Processing in Semantically Enriched Web. - Pavol Návrat; Mária Bieliková; Daniela Chudá; Viera Rozinajová (ISMIS, 2009)

Semantically-Aided Data-Aware Service Workflow Composition. - Ondrej Habala; Marek Paralic; Viera Rozinajová; Peter Bartalos (SOFSEM, 2009)

Innovative Mashup Development: Utilizing Visual Information about Application Programming Interfaces. - Zoltán Harsányi; Martin Repta; Viera Rozinajová (ADBIS (2), 2011)

Identifying Semantic Relationships in Digital Libraries of Cultural Heritage. - Zoltán Harsányi; Viera Rozinajová; Nadezda Andrejcíková (EuroMed, 2012)

One approach to partial formalization of SOA design patterns using production rules. - Roman Selmeci; Viera Rozinajová (FedCSIS, 2012)

SOA Design Patterns - Can They Improve the Process of Model Driven Development? - Roman Selmeci; Viera Rozinajová (IEEE SCC, 2013)

Software Service Recommendation Using Context. - Ivan Marto; Viera Rozinajová (ECBS-EERC, 2015)

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 Natural Language to Search Linked Data. - Viera Rozinajová; Peter Macko (International KEYSTONE Conference, 2016)

Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis. - Peter Laurinec; Marek Lóderer; Petra Vrablecová; Mária Lucká; Viera Rozinajová; Anna Bou Ezzeddine (ICDM Workshops, 2016)

Incremental Time Series Prediction Using Error-Driven Informed Adaptation. - Petra Vrablecová; Viera Rozinajová; Anna Bou Ezzeddine (ICDM Workshops, 2016)

Automatic Question Generation Based on Analysis of Sentence Structure. - Miroslav Blsták; Viera Rozinajová (TSD, 2016)

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)

Incremental Adaptive Time Series Prediction for Power Demand Forecasting. - Petra Vrablecová; Viera Rozinajová; Anna Bou Ezzeddine (DMBD, 2017)

Multi-objective Optimization for Power Load Recommendation Considering User's Comfort. - Jaroslav Loebl; Helmut Posch; Viera Rozinajová (DARE@PKDD/ECML, 2017)

Machine Learning Approach to the Process of Question Generation. - Miroslav Blsták; Viera Rozinajová (TSD, 2017)

Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning. - Marek Lóderer; Peter Pavlík; Viera Rozinajová (IDEAL (1), 2018)

Continuous Cartesian Genetic Programming with Particle Swarm Optimization. - Jaroslav Loebl; Viera Rozinajová (ISDA (2), 2018)

Smart grid load forecasting using online support vector regression. - Petra Vrablecová; Anna Bou Ezzeddine; Viera Rozinajová; Slavomír Sárik; Arun Kumar Sangaiah (Comput. Electr. Eng., 2018)

Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis. - Matús Cuper; Marek Lóderer; Viera Rozinajová (IDEAL (1), 2019)

Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption. - Peter Laurinec; Marek Lóderer; Mária Lucká; Viera Rozinajová (J. Intell. Inf. Syst., 2019)

Distribution-Wise Symbolic Aggregate ApproXimation (dwSAX). - Matej Kloska; Viera Rozinajová (IDEAL (1), 2020)

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

Towards Symbolic Time Series Representation Improved by Kernel Density Estimators. - Matej Kloska; Viera Rozinajová (Trans. Large Scale Data Knowl. Centered Syst., 2021)

Radar-Based Volumetric Precipitation Nowcasting: A 3D Convolutional Neural Network with U-Net Architecture. - Peter Pavlík; Viera Rozinajová; Anna Bou Ezzeddine (CDCEO@IJCAI, 2022)

Automatic question generation based on sentence structure analysis using machine learning approach. - Miroslav Blsták; Viera Rozinajová (Nat. Lang. Eng., 2022)

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

Fully Differentiable Lagrangian Convolutional Neural Network for Continuity-Consistent Physics-Informed Precipitation Nowcasting. - Peter Pavlík; Martin Výboh; Anna Bou Ezzeddine; Viera Rozinajová (CoRR, 2024)

Do Echo Top Heights Improve Deep Learning Nowcasts? - Peter Pavlík; Marc Schleiss; Anna Bou Ezzeddine; Viera Rozinajová (CoRR, 2025)