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Gabriel 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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last updated on 2024-08-05 20:18 CEST by the dblp team
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