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Attila Farkas
Observed name:
Farkas, Attila
Institutions:
Obuda University,
HUN-REN Institute for Computer Science and Control,
Hungarian Research Network
Observed institutions:
Obuda University,
HUN-REN Institute for Computer Science and Control,
Hungarian Research Network,
Hungarian Academy of Sciences
ORCID:
0000-0003-0579-3516
Observed ORCID:
0000-0003-0579-3516
OpenAlex ID:
A5022641789
Bird Sound Recognition Using a Convolutional Neural Network
2018
·
Agnes Incze
, Henrietta-Bernadett Jancso
, et al.
·
IEEE International Symposium on Intelligent Systems and Informatics (SISY)
·
128
MiCADO—Microservice-based Cloud Application-level Dynamic Orchestrator
2017
·
Tamas Kiss
, Peter Kacsuk
, et al.
·
Future Generation Computer Systems
·
84
PDF
Orchestrated Platform for Cyber‐Physical Systems
2018
·
Róbert Lovas
, Attila Farkas
, et al.
·
Complexity
·
24
PDF
Parallel and Distributed Training of Deep Neural Networks: A brief overview
2020
·
Attila Farkas
, Gabor Kertesz
, et al.
·
IEEE International Conference on Intelligent Engineering Systems (INES)
·
21
Toward a Quantum-Science Gateway: A Hybrid Reference Architecture Facilitating Quantum Computing Capabilities for Cloud Utilization
2023
·
Attila Csaba Marosi
, Attila Farkas
, et al.
·
IEEE Access
·
19
PDF
Toward Reference Architectures: A Cloud-Agnostic Data Analytics Platform Empowering Autonomous Systems
2022
·
Attila Csaba Marosi
, Mark Emodi
, et al.
·
IEEE Access
·
19
PDF
An Adaptive Cloud-Based IoT Back-end Architecture and Its Applications
2018
·
Attila Csaba Marosi
, Attila Farkas
, et al.
·
Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
·
8
Evaluation of a distributed deep learning framework as a reference architecture for a cloud environment
2022
·
Attila Farkas
, Krisztian Pora
, et al.
·
IEEE International Conference on Computational Cybernetics (ICCC)
·
3
Distributed Deep Graph Learning with DistDGL: A Case Study in a Cloud Environment
2025
·
Mátyás Nagy
, Attila Farkas
, et al.
·
IEEE International Symposium on Computational Intelligence and Informatics (CINTI)
·
2
Metapac: Adaptive Mixed Compression of Transformer Models With Meta-Learned Importance
2026
·
Tamás Panyi
, Attila Farkas
·
IEEE International Conference on Computational Cybernetics (ICCC)
·
1
SoftPart GNN: Distributed Graph Neural Network Training Without Offline Graph Partitioning
2026
·
Attila Farkas
, Mátyás Nagy
, et al.
·
Algorithms
Distributed GraphSAGE Training with DistDGL: A Multi-GPU Scalability Study
2026
·
Attila Farkas
, Mátyás Nagy
, et al.
·
IEEE International Symposium on Intelligent Systems and Informatics (SISY)
ARCAFF D4.1 Deep Learning Services V1
2026
·
Kiss, Tamas
, Farkas, Attila
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Energy-aware cloud workload prediction method using machine learning techniques
2025
·
Balázs Gáspár
, Attila Farkas
, et al.
·
IEEE International Conference on Intelligent Engineering Systems (INES)
A survey on novel applications of Deep Metric Learning
2025
·
Gábor Kertész
, Attila Farkas
·
IEEE International Conference on Intelligent Engineering Systems (INES)
Industry Simulation Gateway on a Scalable Cloud
2020
·
József Kovács
, Attila Farkas
, et al.
·
Brunel University Research Archive (BURA) (Brunel University London)
PDF
Woody: A Software System for the Design and Production of Doors and Windows
2019
·
Orsolya Mathe
, Botond Miklos
, et al.
·
IEEE International Symposium on Intelligent Systems and Informatics (SISY)
Automated Scalability of Cloud Services and Jobs
2018
·
Tamás Kiss
, Gábor Terstyánszky
, et al.
·
WestminsterResearch (University of Westminster)
PDF
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Works count:
20
Citation count:
309
H-index:
7
I10-index:
6
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