Author

Bálint Pataki

Observed names: Balint Armin Pataki, Balint Pataki, Bálint Á Pataki, Bálint Á. Pataki, Bálint Ármin Pataki, Pataki, Balint Armin, Pataki, Bálint, Pataki, Bálint Ármin

Observed institutions: Eötvös Loránd University, Institute for Solid State Physics and Optics, HUN-REN Wigner Research Centre for Physics, Hungarian Academy of Sciences, University of Sopron

ORCID: 0000-0002-7974-5712

Observed ORCID: 0000-0002-7974-5712

OpenAlex ID: A5026706335

Weak lensing cosmology with convolutional neural networks on noisy data

2019 · Dezső Ribli, Bálint Ármin Pataki, et al. · Monthly Notices of the Royal Astronomical Society · 122

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Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth

2021 · Adi L. Tarca, Bálint Ármin Pataki, et al. · Cell Reports Medicine · 113

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An improved cosmological parameter inference scheme motivated by deep learning

2018 · Dezső Ribli, Bálint Ármin Pataki, et al. · Nature Astronomy · 88

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Deep learning identification for citizen science surveillance of tiger mosquitoes

2021 · Balint Armin Pataki, Joan Garriga, et al. · Scientific Reports · 84

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The COMPARE Data Hubs

2019 · Clara Amid, Nima Pakseresht, et al. · Database · 70

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Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge

2021 · Solveig K. Sieberts, Jennifer Schaff, et al. · npj Digital Medicine · 69

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Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning

2020 · Bálint Ármin Pataki, Sébastien Matamoros, et al. · Scientific Reports · 67

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A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis

2022 · Dongmei Sun, Thanh M. Nguyen, et al. · JAMA Network Open · 39

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HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening

2022 · Bálint Ármin Pataki, Alex Olar, et al. · Scientific Data · 34

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A biallelic multiple nucleotide length polymorphism explains functional causality at 5p15.33 prostate cancer risk locus

2023 · Sandor Spisak, Viktoria Tisza, et al. · Nature Communications · 16

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Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences

2020 · Sébastien Matamoros, Rene S. Hendriksen, et al. · Microbial Genomics · 14

Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for Whistler Inversion

2022 · Bálint Ármin Pataki, János Lichtenberger, et al. · Space Weather · 6

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Bundle versus network conductivity of carbon nanotubes separated by type

2014 · Hajnalka M. Tóháti, Áron Pekker, et al. · The European Physical Journal B · 6

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Author Correction: A biallelic multiple nucleotide length polymorphism explains functional causality at 5p15.33 prostate cancer risk locus

2023 · Sandor Spisak, Viktoria Tisza, et al. · Nature Communications · 2

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Whistler segmentation training dataset

2021 · Pataki, Bálint Ármin, Lichtenberger, János, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1

Gépi tanulás alkalmazásai a tudományokban

2024 · Pataki, Bálint Ármin · Eötvös Loránd Tudományegyetem

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Comparing Performance of Linear Regression Models Trained on Systematic Forest Measurement Datasets to Predict Diameter at Breast Height

2023 · Balint Pataki, Kinga Nagy, et al. · Communications in computer and information science

patches and local annotations, slide 105, zoom 248x248 um2