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ORCIDGabriel Iuhasz
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2020 – today
- 2024
[c20]Alexandru Munteanu
, Silviu Panica, Gabriel Iuhasz:
On the Performance of STAC-FastAPI and PgSTAC Using a Cloud-Native Deployment. AINA (5) 2024: 191-200- [c19]Gabriel Iuhasz, Silviu Panica, Florin Fortis, Alecsandru Duma:
A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems. AINA (2) 2024: 437-450 - 2023
- [j6]Llorenç Cerdà-Alabern, Gabriel Iuhasz, Gabriele Gemmi:
Anomaly detection for fault detection in wireless community networks using machine learning. Comput. Commun. 202: 191-203 (2023) - [c18]Gabriel Iuhasz, Silviu Panica, Alecsandru Duma:
Cycle Detection and Clustering for Cyber Physical Systems. AINA (3) 2023: 100-114 - [c17]Gabriel Iuhasz:
Performance and Compliance Anomaly Detection. SYNASC 2023: 20-25 - 2022
- [c16]Adrian F. Spataru, Gabriel Iuhasz, Silviu Panica:
TUFA: A TOSCA extension for the specification of accelerator-aware applications in the Cloud Continuum. COMPSAC 2022: 1178-1183 - 2021
- [j5]Dragi Kimovski, Roland Mathá, Gabriel Iuhasz, Fabrizio Marozzo, Dana Petcu, Radu Prodan:
Autotuning of Exascale Applications With Anomalies Detection. Frontiers Big Data 4: 657218 (2021) - [c15]Aristotelis Kretsis, Panagiotis C. Kokkinos, Polyzois Soumplis, Juan Jose Vegas Olmos, Marcell Fehér, Márton Ákos Sipos, Daniel E. Lucani, Dmitry Khabi, Dimosthenis Masouros, Kostas Siozios, Paraskevas Bourgos, Sofia Tsekeridou, Ferad Zyulkyarov, Efstathios Karanastasis, Efthymios Chondrogiannis, Vassiliki Andronikou, Aitor Fernández Gómez, Silviu Panica, Gabriel Iuhasz, Anastassios Nanos, Charalampos Chalios, Manos Varvarigos:
SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. MeditCom 2021: 55-60 - 2020
- [c14]Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Gabriel Iuhasz, Marek Justyna, Javier García-Blas:
M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications. PDP 2020: 72-79 - [c13]Calin-George Barburescu, Gabriel Iuhasz:
Optimizing Deep Learning Models for Object Detection. SYNASC 2020: 270-277
2010 – 2019
- 2019
- [j4]Ioan Dragan, Gabriel Iuhasz, Dana Petcu:
A Scalable Platform for Monitoring Data Intensive Applications. J. Grid Comput. 17(3): 503-528 (2019) - [c12]Gabriel Iuhasz, Dana Petcu:
Perspectives on Anomaly and Event Detection in Exascale Systems. BigDataSecurity/HPSC/IDS 2019: 225-229 - 2018
- [c11]Madalina Erascu, Gabriel Iuhasz, Flavia Micota:
An Architecture for a Management Agency for Cloud Resources. SYNASC 2018: 288-295 - 2017
- [p1]Ioan Dragan, Teodor-Florin Fortis, Gabriel Iuhasz, Marian Neagul, Dana Petcu:
Applying Self-* Principles in Heterogeneous Cloud Environments. Cloud Computing, 2nd Ed. 2017: 255-274 - 2016
- [j3]Gabriel Iuhasz, Daniel Pop, Ioan Dragan:
Architecture of a Scalable Platform for Monitoring Multiple Big Data Frameworks. Scalable Comput. Pract. Exp. 17(4): 313-321 (2016) - [c10]Daniel Pop, Gabriel Iuhasz, Ciprian Craciun, Silviu Panica:
Support Services for Applications Execution in Multi-clouds Environments. ICAC 2016: 343-348 - [c9]Dong Nguyen Doan, Gabriel Iuhasz:
Tuning Logstash Garbage Collection for High Throughput in a Monitoring Platform. SYNASC 2016: 359-365 - 2015
- [j2]Dana Petcu, Gabriel Iuhasz, Daniel Pop, Domenico Talia, Jesús Carretero, Radu Prodan, Thomas Fahringer, Ivan Grasso, Ramón Doallo, María J. Martín, Basilio B. Fraguela, Roman Trobec, Matjaz Depolli, Francisco Almeida Rodriguez, Francisco de Sande, Georges Da Costa, Jean-Marc Pierson, Stergios V. Anastasiadis, Aristides Bartzokas, Christos Lolis, Pedro Gonçalves, Fabrice Brito, Nick Brown:
On Processing Extreme Data. Scalable Comput. Pract. Exp. 16(4): 467-490 (2015) - [c8]Giuliano Casale, Danilo Ardagna, Matej Artac, Franck Barbier, Elisabetta Di Nitto, Alexis Henry, Gabriel Iuhasz, Christophe Joubert, José Merseguer, Victor Ion Munteanu, Juan Fernando Pérez, Dana Petcu, Matteo Rossi, Craig Sheridan, Ilias Spais, Daniel Vladuic:
DICE: Quality-Driven Development of Data-Intensive Cloud Applications. MiSE@ICSE 2015: 78-83 - [c7]Gabriel Iuhasz, Ioan Dragan:
An Overview of Monitoring Tools for Big Data and Cloud Applications. SYNASC 2015: 363-366 - 2014
- [j1]Gabriel Iuhasz, Viorel Negru, Daniela Zaharie:
Neuroevolution Based Multi-Agent System with Ontology Based Template Creation for Micromanagement in Real-Time Strategy Games. Inf. Technol. Control. 43(1): 98-109 (2014) - 2013
- [c6]Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru:
Framework for Enabling Scalable Learning Game AI. ENASE 2013: 189-196 - [c5]Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru:
A Survey of Adaptive Game AI: Considerations for Cloud Deployment. IDC 2013: 309-315 - [c4]Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru:
Data mining considerations for knowledge acquisition in real time strategy games. SISY 2013: 331-336 - [c3]Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru:
Evolutionary Approach to Negotiation in Game AI. SYNASC 2013: 296-302 - 2012
- [c2]Gabriel Iuhasz, Viorel Negru, Daniela Zaharie:
Neuroevolution based multi-agent system for micromanagement in real-time strategy games. BCI 2012: 32-39 - [c1]Gabriel Iuhasz, Monica Tirea, Viorel Negru:
Neural Network Predictions of Stock Price Fluctuations. SYNASC 2012: 505-512
Coauthor Index
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