Items where Author is "Kertész, Gábor"
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Number of items: 15.
| Date | Author/Title | Document Type | |
|---|---|---|---|
| 2025 | Czakó, Patrik Roland and Kertész, Gábor and Szénási, Sándor Addressing Activation Outliers in LLMs: A Systematic Review of Post-Training Quantization Techniques |  | Article |
| 2025 | Kwekha Rostam, Zhyar Rzgar K Rostam and Kertész, Gábor Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review | | Article |
| 2025 | Nagy, Mátyás and Farkas, Attila and Kertész, Gábor Distributed Deep Graph Learning with DistDGL: A Case Study in a Cloud Environment | | Book Section |
| 2025 | Gáspár, Balázs and Farkas, Attila and Kertész, Gábor Energy-aware cloud workload prediction method using machine learning techniques | | Book Section |
| 2025 | Boros, Zoltán Dominik and Kertész, Gábor Lightweight Siamese Neural Network for Offline Signature Verification: A Data-Efficient Approach | | Book Section |
| 2025 | Szombat, Barnabás and Moniz, Natacha and Kertész, Gábor Predicting NBA Draft Rankings with Machine Learning: A Pointwise Learning to Rank Approach | | Book Section |
| 2025 | Kertész, Gábor and Farkas, Attila A survey on novel applications of Deep Metric Learning | | Book Section |
| 2024 | Kwekha Rostam, Zhyar Rzgar K Rostam and Szénási, Sándor and Kertész, Gábor Achieving Peak Performance for Large Language Models: A Systematic Review | Article | |
| 2023 | Asadova, Farida and Várkonyiné Kóczy, Annamária and Kertész, Gábor and Lovas, Róbert A Survey of Usage of Anytime Algorithm in Fault detection in Cloud Systems | | Book Section |
| 2022 | Dénes-Fazakas, Lehel and Siket, Máté and Kertész, Gábor and Szilágyi, László and Kovács, Levente and Eigner, György Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller | | Book Section |
| 2022 | Farkas, Attila and Póra, Krisztián and Szénási, Sándor and Kertész, Gábor and Lovas, Róbert Evaluation of a distributed deep learning framework as a reference architecture for a cloud environment | | Book Section |
| 2022 | Asadova, F and Kertész, Gábor and Lovas, Róbert and Szénási, Sándor Fault detection in GPU-enabled Cloud Systems – An Overview | Book Section | |
| 2022 | Szántó, Marcell and Strasser, G and Szász, László and Dénes-Fazakas, Lehel and Eigner, György and Kertész, Gábor and Kovács, Levente Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes | | Book Section |
| 2022 | Almásy, M Gy and Hörömpő, A and Kiss, Dániel and Kertész, Gábor A review on modeling tumor dynamics and agent reward functions in reinforcement learning based therapy optimization | | Article |
| 2020 | Farkas, Attila and Kertész, Gábor and Lovas, Róbert Parallel and Distributed Training of Deep Neural Networks: A brief overview | | Book Section |
