Home > Research > Publications

Publications

Fully Differentiable Physics-informed Lagrangian Convolutional Neural Network for Precipitation Nowcasting

Pavlík, P., Výboh, M., Bou Ezzeddine, A., Rozinajová, V. – European Geosciences Union General Assembly (EGU24), 2024

Application of Transfer Learning techniques in one day ahead PV production prediction

Lóderer, M., Sandanus, M., Pavlík, P., Rozinajová, V. – European Geosciences Union General Assembly (EGU24), 2024

Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning

Goldschmidt, P., Kucera, J. – NOMS 2024-2024 IEEE Network Operations and Management Symposium, 2024

Beyond privacy and security: Exploring ethical issues of smart metering and non-intrusive load monitoring

Gavornik, A., Podrouzek, J., Oresko, S., Slosiarova N., Grmanova, G. – Telematics and Informatics, 2024

WarpSTR: Determining Tandem Repeat Lengths Using Raw Nanopore Signals

Sitarcik, J., Vinar, T., Brejova, B., Krampl, W., Budiš, J., Radvanszky, J., Lucka, M. – Bioinformatics, 2023

Expert Enhanced Dynamic Time Warping Based Anomaly Detection

Kloska, M., Grmanova, G., Rozinajova, V. – Expert Systems with Applications, 2023

Towards Symbolic Time Series Representation Improved by Kernel Density Estimators

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

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

Inteligentné riadenie toku energie v mikrosieti

Vrablecova, P. – ATP Journal, 2022

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

Blstak, M., Rozinajova, V. – Natural Language Engineering, 2021

Download

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

Download

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

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

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

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. – World Symposium on Digital Intelligence for Systems and Machines (DISA), 2018

Download

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

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

Publications

Network intrusion datasets: A survey, limitations, and recommendations

Fully Differentiable Physics-informed Lagrangian Convolutional Neural Network for Precipitation Nowcasting

Application of Transfer Learning techniques in one day ahead PV production prediction

Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning

Beyond privacy and security: Exploring ethical issues of smart metering and non-intrusive load monitoring

WarpSTR: Determining Tandem Repeat Lengths Using Raw Nanopore Signals

Expert Enhanced Dynamic Time Warping Based Anomaly Detection

Towards Symbolic Time Series Representation Improved by Kernel Density Estimators

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

Inteligentné riadenie toku energie v mikrosieti

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

Flower Pollination Algorithm for Detection of Epistasis Associated with a Phenotype

Automatic Query Refining Based on Eye-Tracking Feedback

Distribution-Wise Symbolic Aggregate ApproXimation (dwSAX)

Intelligent Analysis of Data Streams

Prediction of Photovoltaic Power Using Nature-Inspired Computing

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

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

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

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

Parallel Density-Based Downsampling of Cytometry Data

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

Coreference Resolution Within Complex Sentences

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

EduVirtual – Modern Educational Platform Based on Multimedia Technologies

Smart Grid Load Forecasting Using Online Support Vector Regression

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

Building an Agent for Factual Question Generation Task

Computational Intelligence in Smart Grid Environment

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

Why partner with KInIT