Gabor Kertesz

According to our database, Gabor Kertesz authored at least 25 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EQ-5D Classification Using Biomedical Entity-Enriched Pre-trained Language Models and Multiple Instance Learning.

Zhyar Rzgar K. Rostam, Gábor Kertész

CoRR, February, 2026

Automated Classification of EQ-5D Literature in PubMed Using Multi-Phase Learning and LLM-Assisted Co-Training.

Zhyar Rzgar K. Rostam, Márta Péntek, János Tibor Czere, Zsombor Zrubka, László Gulácsi, Gábor Kertész

IEEE Access, 2026

2025

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

Zhyar Rzgar K. Rostam, Gábor Kertész

ACM Trans. Intell. Syst. Technol., December, 2025

Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting.

Zhyar Rzgar K. Rostam, Gábor Kertész

CoRR, April, 2025

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

Patrik Czakó, Gábor Kertész, Sándor Szénási

IEEE Access, 2025

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs.

Patrik Czakó, Gábor Kertész, Sándor Szénási

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Turning LLM Activations Quantization-Friendly.

Patrik Czakó, Gábor Kertész, Sándor Szénási

Proceedings of the 19th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2025

2024

Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study.

Zhyar Rzgar K. Rostam, Gábor Kertész

CoRR, 2024

Achieving Peak Performance for Large Language Models: A Systematic Review.

Zhyar Rzgar K. Rostam, Sándor Szénási, Gábor Kertész

IEEE Access, 2024

Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects.

Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi, Gábor Kertész, György Eigner

Proceedings of the 22nd IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2024

2023

Birth time prediction based on uterus-activity using machine learning.

Gréta Gonda, Gábor Kertész

Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

2022

Deep Metric Learning Using Negative Sampling Probability Annealing.

Gábor Kertész

Sensors, 2022

Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller.

Lehel Dénes-Fazakas, Máté Siket, Gábor Kertész, László Szilágyi, Levente Kovács, György Eigner

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes.

Marcell Szántó, Gergo Strasser, László Szász, Lehel Dénes-Fazakas, György Eigner, Gábor Kertész, Levente Kovács

Proceedings of the IEEE International Conference on Automation, 2022

2021

Statistical accident analysis supporting the control of autonomous vehicles.

Sándor Szénási, Gábor Kertész, Imre Felde, László Nádai

J. Comput. Methods Sci. Eng., 2021

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

Gábor Kertész, Sándor Szénási, Zoltán Vámossy

Adv. Eng. Softw., 2021

Hungarian Traffic Sign Detection and Classification using Semi-Supervised Learning.

Levente Kovács, Gábor Kertész

Proceedings of the 15th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2021

2020

Special Issue on Bio-Inspired Algorithms for Image Processing.

Sándor Szénási, Gábor Kertész

Algorithms, 2020

Metric Embedding Learning on Multi-Directional Projections.

Gábor Kertész

Algorithms, 2020

One-Shot Re-identification using Image Projections in Deep Triplet Convolutional Network.

Gábor Kertész, Imre Felde

Proceedings of the 15th IEEE International Conference of System of Systems Engineering, 2020

2019

Multi-Directional Image Projections with Fixed Resolution for Object Recognition and Matching

Gábor Kertész

PhD thesis, 2019

Multi-Directional Projection Transformations for Machine Learning based Object Matching.

Gábor Kertész, Sándor Szénási, Zoltán Vámossy

Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019

2018

Vehicle Image Matching Using Siamese Neural Networks with Multi-Directional Image Projections.

Gabor Kertesz, Sándor Szénási, Zoltan Vamossy

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

2016

Multiprocessing of an individual-cell based model for parameter testing.

Gabor Kertesz, Dániel Kiss, Anna Lovrics, Sándor Szénási, Zoltan Vamossy

Proceedings of the 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2016

2015

Current challenges in multi-view computer vision.

Gabor Kertesz, Zoltan Vamossy

Proceedings of the 10th IEEE Jubilee International Symposium on Applied Computational Intelligence and Informatics, 2015