Gábor Kertész

25 papers B 2Misc 5Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
EQ-5D Classification Using Biomedical Entity-Enriched Pre-trained Language Models and Multiple Instance Learning.
CoRR
Zhyar Rzgar K. Rostam, Gábor Kertész
2025 J jnl
Addressing Activation Outliers in LLMs: A Systematic Review of Post-Training Quantization Techniques.
IEEE Access
Patrik Czakó, Gábor Kertész, Sándor Szénási
2025 J jnl
Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review.
CoRR
Zhyar Rzgar K. Rostam, Gábor Kertész
2025 J jnl
Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review.
ACM Trans. Intell. Syst. Technol.
Zhyar Rzgar K. Rostam, Gábor Kertész
2025 J jnl
Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting.
CoRR
Zhyar Rzgar K. Rostam, Gábor Kertész
2025 B conf
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs.
SMC
Patrik Czakó, Gábor Kertész, Sándor Szénási
2025 J jnl
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs.
CoRR
Patrik Czakó, Gábor Kertész, Sándor Szénási
2025 Misc conf
Turning LLM Activations Quantization-Friendly.
SACI
Patrik Czakó, Gábor Kertész, Sándor Szénási
2025 J jnl
Turning LLM Activations Quantization-Friendly.
CoRR
Patrik Czakó, Gábor Kertész, Sándor Szénási
2024 J jnl
Achieving Peak Performance for Large Language Models: A Systematic Review.
IEEE Access
Zhyar Rzgar K. Rostam, Sándor Szénási, Gábor Kertész
2024 J jnl
Achieving Peak Performance for Large Language Models: A Systematic Review.
CoRR
Zhyar Rzgar K. Rostam, Sándor Szénási, Gábor Kertész
2024 Misc conf
Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects.
SISY
Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi, Gábor Kertész, György Eigner
2024 J jnl
Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study.
CoRR
Zhyar Rzgar K. Rostam, Gábor Kertész
2023 Misc conf
Birth time prediction based on uterus-activity using machine learning.
SACI
Gréta Gonda, Gábor Kertész
2022 B conf
Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller.
SMC
Lehel Dénes-Fazakas, Máté Siket, Gábor Kertész, László Szilágyi, Levente Kovács, György Eigner
2022 J jnl
Deep Metric Learning Using Negative Sampling Probability Annealing.
Sensors
Gábor Kertész
2022 — conf
Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes.
AQTR
Marcell Szántó, Gergo Strasser, László Szász, Lehel Dénes-Fazakas, György Eigner, Gábor Kertész, Levente Kovács
2021 J jnl
Comparative analysis of image projection-based descriptors in Siamese neural networks.
Adv. Eng. Softw.
Gábor Kertész, Sándor Szénási, Zoltán Vámossy
2021 Misc conf
Hungarian Traffic Sign Detection and Classification using Semi-Supervised Learning.
SACI
Levente Kovács, Gábor Kertész
2021 J jnl
Statistical accident analysis supporting the control of autonomous vehicles.
J. Comput. Methods Sci. Eng.
Sándor Szénási, Gábor Kertész, Imre Felde, László Nádai
2020 J jnl
Metric Embedding Learning on Multi-Directional Projections.
Algorithms
Gábor Kertész
2020 — conf
One-Shot Re-identification using Image Projections in Deep Triplet Convolutional Network.
SoSE
Gábor Kertész, Imre Felde
2020 J jnl
Special Issue on Bio-Inspired Algorithms for Image Processing.
Algorithms
Sándor Szénási, Gábor Kertész
2019 — —
Multi-Directional Image Projections with Fixed Resolution for Object Recognition and Matching
Gábor Kertész
2019 Misc conf
Multi-Directional Projection Transformations for Machine Learning based Object Matching.
SACI
Gábor Kertész, Sándor Szénási, Zoltán Vámossy