Gabriel Iuhasz

29 papers B 2C 1Misc 9Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Benchmarking STAC Ecosystem Server Backends in Dataset Creation Applications.
AINA (6)
Alexandru Munteanu, Gabriel Iuhasz, Silviu Panica
2025 J jnl
Exploring machine learning methods for the identification of production cycles and anomaly detection.
Internet Things
Gabriel Iuhasz, Teodor-Florin Fortis, Silviu Panica
2024 — conf
A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems.
AINA (2)
Gabriel Iuhasz, Silviu Panica, Florin Fortis, Alecsandru Duma
2024 — conf
On the Performance of STAC-FastAPI and PgSTAC Using a Cloud-Native Deployment.
AINA (5)
Alexandru Munteanu, Silviu Panica, Gabriel Iuhasz
2023 J jnl
Anomaly detection for fault detection in wireless community networks using machine learning.
Comput. Commun.
Llorenç Cerdà-Alabern, Gabriel Iuhasz, Gabriele Gemmi
2023 — conf
Cycle Detection and Clustering for Cyber Physical Systems.
AINA (3)
Gabriel Iuhasz, Silviu Panica, Alecsandru Duma
2023 Misc conf
Performance and Compliance Anomaly Detection.
SYNASC
Gabriel Iuhasz
2022 B conf
TUFA: A TOSCA extension for the specification of accelerator-aware applications in the Cloud Continuum.
COMPSAC
Adrian F. Spataru, Gabriel Iuhasz, Silviu Panica
2021 J jnl
Autotuning of Exascale Applications With Anomalies Detection.
Frontiers Big Data
Dragi Kimovski, Roland Mathá, Gabriel Iuhasz, Fabrizio Marozzo, Dana Petcu, Radu Prodan
2021 — conf
SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum.
MeditCom
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
2020 C conf
M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications.
PDP
Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Gabriel Iuhasz, Marek Justyna, Javier García-Blas
2020 Misc conf
Optimizing Deep Learning Models for Object Detection.
SYNASC
Calin-George Barburescu, Gabriel Iuhasz
2019 J jnl
A Scalable Platform for Monitoring Data Intensive Applications.
J. Grid Comput.
Ioan Dragan, Gabriel Iuhasz, Dana Petcu
2019 — conf
Perspectives on Anomaly and Event Detection in Exascale Systems.
BigDataSecurity/HPSC/IDS
Gabriel Iuhasz, Dana Petcu
2018 Misc conf
An Architecture for a Management Agency for Cloud Resources.
SYNASC
Madalina Erascu, Gabriel Iuhasz, Flavia Micota
2017 — ch.
Applying Self-* Principles in Heterogeneous Cloud Environments.
Cloud Computing, 2nd Ed.
Ioan Dragan, Teodor-Florin Fortis, Gabriel Iuhasz, Marian Neagul, Dana Petcu
2016 J jnl
Architecture of a Scalable Platform for Monitoring Multiple Big Data Frameworks.
Scalable Comput. Pract. Exp.
Gabriel Iuhasz, Daniel Pop, Ioan Dragan
2016 — conf
Support Services for Applications Execution in Multi-clouds Environments.
ICAC
Daniel Pop, Gabriel Iuhasz, Ciprian Craciun, Silviu Panica
2016 Misc conf
Tuning Logstash Garbage Collection for High Throughput in a Monitoring Platform.
SYNASC
Dong Nguyen Doan, Gabriel Iuhasz
2015 Misc conf
An Overview of Monitoring Tools for Big Data and Cloud Applications.
SYNASC
Gabriel Iuhasz, Ioan Dragan
2015 — conf
DICE: Quality-Driven Development of Data-Intensive Cloud Applications.
MiSE@ICSE
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
2015 J jnl
On Processing Extreme Data.
Scalable Comput. Pract. Exp.
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 J. Lolis, Pedro Gonçalves, Fabrice Brito, Nick Brown
2014 J jnl
Neuroevolution Based Multi-Agent System with Ontology Based Template Creation for Micromanagement in Real-Time Strategy Games.
Inf. Technol. Control.
Gabriel Iuhasz, Viorel Negru, Daniela Zaharie
2013 Misc conf
A Survey of Adaptive Game AI: Considerations for Cloud Deployment.
IDC
Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru
2013 Misc conf
Data mining considerations for knowledge acquisition in real time strategy games.
SISY
Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru
2013 Misc conf
Evolutionary Approach to Negotiation in Game AI.
SYNASC
Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru
2013 B conf
Framework for Enabling Scalable Learning Game AI.
ENASE
Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru
2012 Misc conf
Neural Network Predictions of Stock Price Fluctuations.
SYNASC
Gabriel Iuhasz, Monica Tirea, Viorel Negru
2012 — conf
Neuroevolution based multi-agent system for micromanagement in real-time strategy games.
BCI
Gabriel Iuhasz, Viorel Negru, Daniela Zaharie