Nemzeti adatvagyon elemzése gépi tanuláson alapuló módszerekkel - MIK szakmai nap és kiállítás - YouTube
Programming 1. 2020/21 II. Lecture 1
University of Debrecen The 1 Conference on Information Technology and Data Science
HunTag3/cegnev.eszter.lex at master · ppke-nlpg/HunTag3 · GitHub
uinames/names.json at master · thm/uinames · GitHub
PDF) Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet
Confusion matrix of the 7-class classification results for CASE I. | Download Scientific Diagram
TARTALMI KIVONATOK
Sample images for different types of skin lesions. | Download Scientific Diagram
The distribution of the images between the classes in the training set... | Download Scientific Diagram
TARTALMI KIVONATOK
Ruogu Fang 方若谷
Added data for Iceland by VedranaR · Pull Request #137 · thm/uinames · GitHub
Ruogu Fang
top-github-users/hungary.md at main · gayanvoice/top-github-users · GitHub
Programming 1. 2020/21 II. Lecture 1
Enhancing CNNs through the use of hand-crafted features in automated fundus image classification - ScienceDirect
Electronics | Free Full-Text | Detection of Diseases in Pandemic: A Predictive Approach Using Stack Ensembling on Multi-Modal Imaging Data
PDF) A Survey for Cervical Cytopathology Image Analysis Using Deep Learning
PDF) Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support
Histogram of pixel intensities of an EDF cervical cytology image in the... | Download Scientific Diagram
Hackintosh Hungary | Sziasztok a Hackintosh Hungary weboldalon tölthettek disztrókat, bootloadereket és segédprogramokat is | Facebook
Harabali (Balazs Harangi Ph.D.) · GitHub
Standardizált mérési technika a méh ultrahang-diagnosztikájában
Balazs Strenner - Senior Deep Learning Engineer - Continental | LinkedIn
Confusion matrix of 7-class classification results without binary support. | Download Scientific Diagram
PDF) Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
PDF) Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support
