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Publications

Radar-Based Volumetric Precipitation Nowcasting: A 3D Convolutional Neural Network with UNet Architecture

Pavlik, P., Rozinajova, V.. Bou Ezzeddine, A. – Workshop on Complex Data Challenges in Earth Observation 2022 at CAI-ECAI 2022, 2022

Towards Symbolic Time Series Representation Improved by Kernel Density Estimators

Kloska, M., Rozinajova, V. – Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2022

Automatic question generation based on sentence structure analysis using machine learning approach

Blstak, M., Rozinajova, V. – Natural Language Engineering, 2021
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Flower Pollination Algorithm for Detection of Epistasis Associated with a Phenotype

Sitarcik, J., Lucka, M., Krajcovic, T. – International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
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Automatic Query Refining Based on Eye-Tracking Feedback

Martonova, A., Marcin, J., Navrat, P., Tvarozek, J., Grmanova, G. – Computing and Information 2020
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Distribution-Wise Symbolic Aggregate ApproXimation (dwSAX)

Kloska, M., Rozinajova, V. – Intelligent Data Engineering and Automated Learning – IDEAL, 2020

Prediction of Photovoltaic Power Using Nature-Inspired Computing

Sumega, M., Bou Ezzeddine, A., Grmanova, G., Rozinajova, V. – Advances in Swarm Intelligence. ISCI 2020.
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Intelligent Analysis of Data Streams

Rozinajova, V., Bou Ezzeddine, A., Grmanova, G., Vrablecova, P., Pomffyova, M. – Towards Digital Intelligence Society: A Knowledge-based Approach, 2020

Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption

Laurinec, P., Loderer, M., Lucka, M., Rozinajova, V. – Journal of Intelligent Information Systems, 2019

epiBAT: Multi-Objective Bat Algorithm for Detection of Epistatic Interactions

Sitarcik, J., Lucka, M. – INFORMATICS, 2019

SWSPM: A Novel Alignment-Free DNA Comparison Method Based on Signal Processing Approaches

Farkas, T., Sitarcik, J., Brejova, B., Lucka, M. – Evolutionary Bioinformatics, 2019

Cache-Efficient FM-Index Variants for Mapping of DNA Sequences

Sitarcik, J., Lucka, M. – 13th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2019

Parallel Density-Based Downsampling of Cytometry Data

Nemcek, M., Jarabek, T., Lucka, M. – PACBB 2019: Practical Applications of Computational Biology and Bioinformatics, 13th International Conference, 2019

Interpretable Multiple Data Streams Clustering with Clipped Streams Representation for the Improvement of Electricity Consumption Forecasting

Laurinec, P., Lucka, M. – Data Mining and Knowledge Discovery, 2019

Coreference Resolution Within Complex Sentences

Miskovsky, L., Blstak, M., Rozinajova, V. – Výskum pokročilých metód inteligentného spracovania informácií, 2019

Detection of abnormal load consumption in the power grid using clustering and statistical analysis

Cuper, M., Loderer, M., Rozinajova, V. – Intelligent Data Engineering and Automated Learning, 2019

EduVirtual – Modern Educational Platform Based on Multimedia Technologies

Loderer, M., Vanco, M., Rozinajova, V., Muntean, G. M., Podhradsky, P., Rozinaj, G. – 2019 International Symposium ELMAR (IEEE), 2019

Computational Intelligence in Smart Grid Environment

Rozinajova, V., Bou Ezzeddine, A., Loderer, M., Loebl, J., Magyar, R., Vrablecova, P. – Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications, Intelligent Data-Centric Systems, 2018

Smart Grid Load Forecasting Using Online Support Vector Regression

Vrablecova, P., Bou Ezzeddine, A., Rozinajova, V., Sarik, S., Sangaiah, A.K. – Computers and Electrical Engineering, 2018

Improving Time Series Prediction Via Modification Of Dynamic Weighted Majority in Ensemble Learning

Loderer, M., Pavlik, P., Rozinajova, V. – Intelligent Data Engineering And Automated Learning – Ideal, 2018

Clustering-based Forecasting Method for Individual Consumers Electricity Load Using Time Series Representations

Laurinec, P., Lucka, M. – Open Computer Science, 2018

Building an Agent for Factual Question Generation Task

Blstak, M., Rozinajova, V. – IEEE World Symposium on Digital Intelligence for Systems and Machines, 2018

Machine Learning Approach to the Process of Question Generation

Blstak, M., Rozinajova, V. – 20th International Conference on Text, Speech, and Dialogue, 2017

Incremental Adaptive Time Series Prediction for Power Demand Forecasting

Vrablecova, P., Rozinajova, V., Bou Ezzeddine, A – Mining and Big Data Int. Conf., 2017

Prediction of Electricity Consumption Using Biologically Inspired Algorithms

Halas, P., Loderer, M., Rozinajova, V. – 14th International Scientific Conference on Informatics (IEEE), 2017

Energy Load Forecast Using S2S Deep Neural Networks with k-Shape Clustering

Jarabek, T., Laurinec, P., Lucka, M. – IEEE 14th International Scientific Conference on Informatics, 2017

New Clustering-Based Forecasting Method for Disaggregated End-Consumer Electricity Load Using Smart Grid Data

Laurinec, P., Lucka, M. – IEEE 14th International Scientific Conference on Informatics, 2017

Prediction of Power Load Demand Using Modified Dynamic Weighted Majority Method

Nemec, R., Rozinajova, V., Loderer, M. – Advances in Systems Science: Proceedings of the International Conference on Systems Science 2016. (ICSS 2016), 2017

Využívanie hierarchie vetných vzorov pre automatizovanú tvorbu otázok [in Slovak]

Blstak, M., Rozinajova, V. – 11th workshop on intelligent and knowledge oriented technologies, 35th conference on data and knowledge, 2016

Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis

Laurinec, P., Loderer, M., Vrablecova, P., Lucka, M., Rozinajova, V., Bou Ezzeddine, A. – 16th International Conference on Data Mining Workshops (ICDMW), 2016

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