| Date | Author/Title | | Document Type |
|---|
| 2025 | Benhamida, Abdallah and Kozlovszky, Miklós
MC-EVM: A Movement-Compensated EVM Algorithm with Face Detection for Remote Pulse Monitoring | | Article |
| 2025 | Chang, Victor and Kacsuk, Péter and Wills, Gary and Behringer, Reinhold
Introduction to the Special Issue on Big Data and the Internet of Things in Complex Information Systems |  | Article |
| 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 | Deslauriers, J and Kovács, József and Kiss, T and Stork, A and Serna, S P and Ullah, A
Automated generation of deployment descriptors for managing microservices-based applications in the cloud to edge continuum | | Article |
| 2025 | Emődi, Márk Benjámin and Bánfi, Konrád and Kovács, József
SLURM Deployment in Cloud Environments: Enhancing Utilization and Scalability | | Article |
| 2025 | Emődi, Márk Benjámin and Kovács, József and Lovas, Róbert
Mesh-Aware Debugging: Identifying Resource Allocation Issues in Distributed Microservices | | Article |
| 2025 | Kucarov, Marianna Dimitrova and Szakállas, Niklolett and Molnár, Béla and Kozlovszky, Miklós
Enhanced Tumor Diagnostics via Cyber-Physical Workflow: Integrating Morphology, Morphometry, and Genomic MultimodalData Analysis and Visualization in Digital Pathology | | 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 | Lovas, Róbert
Debugging Cloud Continuum Blueprint Primitives with an ML-Based Steering Method Toward Extreme Conditions | | Article |
| 2025 | Ogbolu, Melvin and Eniade, Olanrewaju D. and Kozlovszky, Miklós
Systematic Review and Meta-Analysis of Risk Factors for Dehydration and the Development of a Predictive Scoring System | | Article |
| 2025 | Póra, Krisztián and Felde, Imre and Marosi, Attila Csaba
Nature-inspired Algorithms for Energy-Aware Application Scheduling in Fog Computing Environments | | Article |
| 2025 | Saulaiman, M N-E and Kozlovszky, Miklós and Csilling, A
Graph-Based Automation of Threat Analysis and Risk Assessment for Automotive Security | | Article |
| 2025 | Saulaiman, Mera and Csilling, Ákos and Kozlovszky, Miklós
Integrated Automation for Threat Analysis and Risk Assessment in Automotive Cybersecurity Through Attack Graphs | | Article |
| 2025 | Unyi, Dániel and Rigó, Ernő and Gyires-Tóth, Bálint Pál and Lovas, Róbert
Explainable GNN-based Approach to Fault Forecasting in Cloud Service Debugging | | Article |
| 2025 | Vincze, Miklós and Molnar, Bela and Kozlovszky, Miklós
The Use of Voice Control in 3D Medical Data Visualization Implementation, Legal, and Ethical Issues | | Article |
| 2025 | Vincze, Miklós and Molnár, Béla and Kozlovszky, Miklós
Quality Assurance of the Whole Slide Image Evaluation in Digital Pathology: State of the Art and Development Results | | Article |
| Date | Author/Title | | Document Type |
|---|
| 2025 | Boros, Zoltán Dominik and Kertész, Gábor
Lightweight Siamese Neural Network for Offline Signature Verification: A Data-Efficient Approach | | Book Section |
| 2025 | Emődi, Márk Benjámin and Kovács, József and Lovas, Róbert
Mesh-aware debugging: systematic traversal and statespace replay for identifying resource allocation issues in distributed microservices | | Book Section |
| 2025 | Gáspár, Balázs and Farkas, Attila and Kertész, Gábor
Energy-aware cloud workload prediction method using machine learning techniques | | Book Section |
| 2025 | Kantó, Attila and Marosi, Attila Csaba
Optimizing Big Data Workloads in Hybrid Cloud Environments: Evaluating File Formats and Compression Codecs | | Book Section |
| 2025 | Kertész, Gábor and Farkas, Attila
A survey on novel applications of Deep Metric Learning | | Book Section |
| 2025 | Kucarov, Marianna Dimitrova and Molnár, Béla and Kozlovszky, Miklós
Integration of NGS Genomic Metadata Analysis with Open-source Genomic Databases for Single Cell Tissue Samples | | Book Section |
| 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 | Pintye, István and Kovács, József and Lovas, Róbert
Fundamental limitations of online supervised learning in dynamic control loops | | 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 |
