Balázs Harangi Ph.D.

About Balázs Harangi Ph.D.

Balázs Harangi Ph.D., With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at Debreceni Egyetem, specializes in the field of data science, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Developing New Fully Connected Layers for Convolutional Neural Networks with Hyperparameter Optimization for Improved Multi-Label Image Classification

A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews

Assessing Conventional and Deep Learning-Based Approaches for Named Entity Recognition in Unstructured Hungarian Medical Reports

Composing Diverse Ensembles of Convolutional Neural Networks by Penalization

Extracting Drug Names from Medical Reports

Increasing the diversity of ensemble members for accurate brain tumor classification

Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation

A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews

Balázs Harangi Ph.D. Information

University

Position

Assistant Professor at Faculty of Informatics

Citations(all)

1482

Citations(since 2020)

1119

Cited By

719

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

23

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Balázs Harangi Ph.D. Skills & Research Interests

data science

machine learning

Top articles of Balázs Harangi Ph.D.

Developing New Fully Connected Layers for Convolutional Neural Networks with Hyperparameter Optimization for Improved Multi-Label Image Classification

Mathematics

2024/3/8

A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews

Big Data and Cognitive Computing

2024/2/22

Assessing Conventional and Deep Learning-Based Approaches for Named Entity Recognition in Unstructured Hungarian Medical Reports

2024/1/25

Composing Diverse Ensembles of Convolutional Neural Networks by Penalization

Mathematics

2023/11/22

Extracting Drug Names from Medical Reports

2023/10/19

Increasing the diversity of ensemble members for accurate brain tumor classification

2023/6/22

Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation

2023/6/22

A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews

arXiv preprint arXiv:2306.07786

2023/6/13

Comparative analysis of bone ingrowth in 3D-printed titanium lattice structures with different patterns

Materials

2023/5/20

Classification of Pap-smear cell images using deep convolutional neural network accelerated by hand-crafted features

2022/7/11

Enhancing CNNs through the use of hand-crafted features in automated fundus image classification

Biomedical Signal Processing and Control

2022/7/1

Cell Segmentation in Digitized Pap Smear Images Using an Ensemble of Fully Convolutional Networks

2021/12/4

Adatelemzési folyamat és keretrendszer a közigazgatás számára

KözigazgatásTudomány

2021/11/17

Napelemfarmok Magyarország területén történő elhelyezését segítő döntéstámogató rendszer fejlesztése

KözigazgatásTudomány

2021/11/17

Solving the problem of imbalanced dataset with synthetic image generation for cell classification using deep learning

2021/11/1

Molecule Classification Using Visualization and Convolutional Neural Network

2021/4/13

Data Analysis Process and Framework for Public Administrations

Kozigazgatas Tudomany

2021

Development of a Decision Support System for the Sitting of Solar Farms in Hungary

Kozigazgatas Tudomany

2021

Hybrid AdaBoost and Naïve Bayes Classifier for Supervised Learning

2021

Standardizált mérési technika a méh ultrahang-diagnosztikájában

Orvosi Hetilap

2020/11/29

See List of Professors in Balázs Harangi Ph.D. University(Debreceni Egyetem)

Co-Authors

academic-engine