Gábor Kertész

associate professor

Óbuda University

Hungary

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About

Gábor Kertész is an associate professor at Obuda University in Hungary. His research focuses on advanced topics in machine learning and artificial intelligence, including language models, text classification, and image processing. Recent publications highlight his systematic reviews and analyses related to the performance of large language models and metric learning techniques.

Articles (9)

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2025

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2025

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2024

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2024

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2022

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2022

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2021

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2020

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2020

Collaborators (1)

Zoltan Vamossy

Óbuda University

HUNGARY

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Gábor Kertész

Research Interests

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Articles (9)

Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review

Addressing Activation Outliers in LLMs: A Systematic Review of Post-Training Quantization Techniques

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

Achieving Peak Performance for Large Language Models: A Systematic Review

A review on modeling tumor dynamics and agent reward functions in reinforcement learning based therapy optimization

Deep Metric Learning Using Negative Sampling Probability Annealing

Comparative analysis of image projection-based descriptors in Siamese neural networks

Special Issue on Bio-Inspired Algorithms for Image Processing

Metric Embedding Learning on Multi-Directional Projections

Collaborators (1)

Zoltan Vamossy

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