Daniel Vasata

21 papers B 2Misc 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Advanced similarity metrics for IP flow data analytics.
Comput. Networks
Ivo Petr, Jitka Hrabáková, Magda Friedjungová, Daniel Vasata, Karel Hynek
2025 J jnl
Drift-Based Dataset Stability Benchmark.
CoRR
Dominik Soukup, Richard Plný, Daniel Vasata, Tomás Cejka
2025 — conf
Towards Real-Time Machine Learning Approximations of Ac Optimal Power Flow.
CAI
Marek Miltner, Daniel Vasata, Magda Friedjungová, Nishant Gadde, Ondrej Stogl, Oldrich Starý, Ram Rajagopal
2024 — conf
Investigation into the Training Dynamics of Learned Optimizers.
ICAART (2)
Jan Sobotka, Petr Simánek, Daniel Vasata
2024 — conf
Predicting Blood Glucose Levels with LMU Recurrent Neural Networks: A Novel Computational Model.
AIME (1)
Ladislav Floris, Daniel Vasata
2024 J jnl
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas.
CoRR
Marek Miltner, Jakub Zíka, Daniel Vasata, Artem Bryksa, Magda Friedjungová, Ondrej Stogl, Ram Rajagopal, Oldrich Starý
2023 J jnl
Investigation into the Training Dynamics of Learned Optimizers.
CoRR
Jan Sobotka, Petr Simánek, Daniel Vasata
2023 Misc conf
Machine Learning Metrics for Network Datasets Evaluation.
SEC
Dominik Soukup, Daniel Uhrícek, Daniel Vasata, Tomás Cejka
2022 J jnl
Evacuation trials from a double-deck electric train unit: Experimental data and sensitivity analysis.
CoRR
Hana Najmanová, Veronika Pesková, Lukás Kuklík, Marek Bukácek, Pavel Hrabák, Daniel Vasata
2022 B conf
Learning to Optimize with Dynamic Mode Decomposition.
IJCNN
Petr Simánek, Daniel Vasata, Pavel Kordík
2022 J jnl
Learning to Optimize with Dynamic Mode Decomposition.
CoRR
Petr Simánek, Daniel Vasata, Pavel Kordík
2021 — conf
Image Inpainting Using Wasserstein Generative Adversarial Imputation Network.
ICANN (2)
Daniel Vasata, Tomás Halama, Magda Friedjungová
2021 J jnl
Image Inpainting Using Wasserstein Generative Adversarial Imputation Network.
CoRR
Daniel Vasata, Tomás Halama, Magda Friedjungová
2021 — conf
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network.
MetaDL@AAAI
Tomás Chobola, Daniel Vasata, Pavel Kordík
2021 J jnl
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network.
CoRR
Tomás Chobola, Daniel Vasata, Pavel Kordík
2020 — conf
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network.
ICCS (4)
Magda Friedjungová, Daniel Vasata, Maksym Balatsko, Marcel Jirina
2020 J jnl
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network.
CoRR
Magda Friedjungová, Daniel Vasata, Maksym Balatsko, Marcel Jirina
2020 B conf
Unsupervised Latent Space Translation Network.
ESANN
Magda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina
2020 J jnl
Unsupervised Latent Space Translation Network.
CoRR
Magda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina
2019 — conf
Missing Features Reconstruction and Its Impact on Classification Accuracy.
ICCS (3)
Magda Friedjungová, Marcel Jirina, Daniel Vasata
2019 J jnl
Missing Features Reconstruction and Its Impact on Classification Accuracy.
CoRR
Magda Friedjungová, Daniel Vasata, Marcel Jirina