Gaussian Perturbations in ReLU Networks and the Arrangement of Activation Regions by Bálint Daróczy

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Determining the prevalence of childhood hypertension and its concomitant metabolic abnormalities using data mining methods in the Northeastern region of Hungary by Beáta Kovács, Ákos Németh, Bálint Daróczy, Bálint Daróczy, Zsolt Karányi, László Maroda, Ágnes Diószegi, Bíborka Nádró, Tamás Szabó, Mariann Harangi, Dénes Páll

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Spatial Variability of Soil Properties and Its Effect on Maize Yields within Field—A Case Study in Hungary by Anikó Nyéki, Bálint Daróczy, Csaba Kerepesi, Miklós Neményi, Attila József Kovács

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Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors by Domokos Kelen, Bálint Daróczy, Frederick Ayala-Gómez, Anna Ország, András Benczúr

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Assessment of Hypertensive Patients’ Complex Metabolic Status Using Data Mining Methods by Beáta Kovács, Ákos Németh, Bálint Daróczy, Zsolt Karányi, László Maroda, Ágnes Diószegi, Mariann Harangi, Dénes Páll

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Smart medical report: efficient detection of common and rare diseases on common blood tests by Ákos Németh, Ákos Németh, Gábor Tóth, Péter Fülöp, György Paragh, Bíborka Nádró, Zsolt Karányi, György Paragh, Zsolt Horváth, Zsolt Csernák, Zsolt Csernák, Erzsébet Pintér, Erzsébet Pintér, Dániel Sándor, Dániel Sándor, Gábor Bagyó, István Édes, János Kappelmayer, Mariann Harangi, Bálint Daróczy, Bálint Daróczy

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