1. * Evženie Uglickich, Ivan Nagy: Prediction of overdispersed count data using real-time cluster-based discretization of explanatory variables. Informatics in Control, Automation and Robotics. ICINCO 2021 : Revised Selected Papers, 163-184. Springer, Cham 2023. Download |
1. * Evženie Uglickich, Ivan Nagy: Poisson-based framework for predicting count data: Application to traffic counts in Prague areas. Journal of Computational Science 85. Elsevier. Download |
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2. * Evženie Uglickich, Ivan Nagy: 3D Local Crime Type Models Based on Crime Hotspot Detection. Neural Network World 34:2 (2024), 89-110. Ústav informatiky AV ČR, v. v. i.. Download |
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3. * Evženie Uglickich, Ivan Nagy: Using Poisson proximity-based weights for traffic flow state prediction. Neural Network World 33:4 (2023), 291-315. Ústav informatiky AV ČR, v. v. i.. Download |
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4. * Šárka Jozová, Evženie Uglickich, Ivan Nagy, Raissa Likhonina: Modeling of discrete questionnaire data with dimension reduction. Neural Network World 32:1 (2022), 15-41. Ústav informatiky AV ČR, v. v. i.. Download |
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5. * Raissa Likhonina, Evženie Uglickich: Hand detection application based on QRD RLS Lattice algorithm and its implementation on Xilinx Zynq Ultrascale+. Neural Network World 32:2 (2022), 73-92. Ústav informatiky AV ČR, v. v. i.. Download |
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6. * Evženie Uglickich, Ivan Nagy, D. Vlčková: Comparing clusterings using combination of the kappa statistic and entropy-based measure. Metron 77:3 (2019), 253-270. Springer. Download |
1. * T. Reznychenko, Evženie Uglickich, Ivan Nagy: Accuracy Comparison of Logistic Regression, Random Forest, and Neural Networks Applied to Real MaaS Data. 2024 Smart City Symposium Prague (SCSP). IEEE, Danvers 2024. Download |
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2. * Raissa Likhonina, Jiří Kadlec, Evženie Uglickich: Hand detection ultrasound based application implemented on the FPGA platform. Book of abstracts. 6th International Caparica Conference on Ultrasonic-based applications from analysis to synthesis, 107-107. PROTEOMASS Scientific Society, Portugal 2023. |
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3. * T. Reznychenko, Evženie Uglickich, Ivan Nagy: Conditional histogram analysis of discrete questionnaire data. 2023 Smart City Symposium Prague (SCSP), 1-6. Curran Associates, Red Hook 2023. Download |
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4. * Evženie Uglickich, Ivan Nagy, T. Reznychenko: Count Predictive Model with Mixed Categorical and Count Explanatory Variables. Proceedings of the The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) IDAACS'2023, 51-56. IEEE, Piscataway 2023. Download |
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5. * Šárka Jozová, Evženie Uglickich, Ivan Nagy: Bayesian Mixture Estimation without Tears. Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics, 641-648. Scitepress, Setúbal 2021. Download |
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6. * Evženie Uglickich, Ivan Nagy, Matej Petrouš: Prediction of Multimodal Poisson Variable using Discretization of Gaussian Data. Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics, 600-608. Scitepress, Setúbal 2021. Download |
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7. * Matej Petrouš, Evženie Uglickich: Rayleigh model fitting to nonnegative discrete data. Proceedings of 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES), 67-72. IEEE, Piscataway 2020. Download |
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8. * Matej Petrouš, Evženie Uglickich: Modeling of mixed data for Poisson prediction. Applied Computational Intelligence and Informatics (SACI) : 2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI), 77-82. IEEE, Piscataway 2020. Download |
1. * Evženie Uglickich, Ivan Nagy, P. Kumpošt, P. Richter: Datasets: Traffic Counts in Prague. 2024. Download |
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2. * O. Sedláček, Evženie Uglickich: Calculating Electric Vehicle Range Using Dynamic Programming with Battery Current and Velocity Setpoints. Research Report 2398. ÚTIA AV ČR, Prague 2024. Download |
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3. * Evženie Uglickich, Ivan Nagy: Recursive mixture estimation with univariate multimodal Poisson variable. Research Report 2394. UTIA AV ČR, v. v. i.,, Prague 2022. Download |