Gabor Kertesz

Orcid: 0000-0002-8845-8301

According to our database1, Gabor Kertesz authored at least 22 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs.
CoRR, June, 2025

Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting.
CoRR, April, 2025

Addressing Activation Outliers in LLMs: A Systematic Review of Post-Training Quantization Techniques.
IEEE Access, 2025

Turning LLM Activations Quantization-Friendly.
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.
CoRR, 2024

Achieving Peak Performance for Large Language Models: A Systematic Review.
IEEE Access, 2024

Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects.
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.
Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

2022
Deep Metric Learning Using Negative Sampling Probability Annealing.
Sensors, 2022

Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes.
Proceedings of the IEEE International Conference on Automation, 2022

2021
Statistical accident analysis supporting the control of autonomous vehicles.
J. Comput. Methods Sci. Eng., 2021

Comparative analysis of image projection-based descriptors in Siamese neural networks.
Adv. Eng. Softw., 2021

Hungarian Traffic Sign Detection and Classification using Semi-Supervised Learning.
Proceedings of the 15th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2021

2020
Special Issue on Bio-Inspired Algorithms for Image Processing.
Algorithms, 2020

Metric Embedding Learning on Multi-Directional Projections.
Algorithms, 2020

One-Shot Re-identification using Image Projections in Deep Triplet Convolutional Network.
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
PhD thesis, 2019

Multi-Directional Projection Transformations for Machine Learning based Object Matching.
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.
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.
Proceedings of the 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2016

2015
Current challenges in multi-view computer vision.
Proceedings of the 10th IEEE Jubilee International Symposium on Applied Computational Intelligence and Informatics, 2015


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