Gabriel Iuhasz

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 16

Top Topics

Anomaly Detection

Top Venues

Scalable Comput. Pract. Exp.

Inf. Technol. Control.

Publications

Alexandru Munteanu, Silviu Panica, Gabriel Iuhasz
On the Performance of STAC-FastAPI and PgSTAC Using a Cloud-Native Deployment. AINA (5) (2024)
Gabriel Iuhasz, Silviu Panica, Florin Fortis, Alecsandru Duma
A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems. AINA (2) (2024)
Gabriel Iuhasz
Performance and Compliance Anomaly Detection. SYNASC (2023)
Gabriel Iuhasz, Silviu Panica, Alecsandru Duma
Cycle Detection and Clustering for Cyber Physical Systems. AINA (3) (2023)
Llorenç Cerdà-Alabern, Gabriel Iuhasz, Gabriele Gemmi
Anomaly detection for fault detection in wireless community networks using machine learning. Comput. Commun. 202 (2023)
Adrian F. Spataru, Gabriel Iuhasz, Silviu Panica
TUFA: A TOSCA extension for the specification of accelerator-aware applications in the Cloud Continuum. COMPSAC (2022)
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)
Dragi Kimovski, Roland Mathá, Gabriel Iuhasz, Fabrizio Marozzo, Dana Petcu, Radu Prodan
Autotuning of Exascale Applications With Anomalies Detection. Frontiers Big Data 4 (2021)
Calin-George Barburescu, Gabriel Iuhasz
Optimizing Deep Learning Models for Object Detection. SYNASC (2020)
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)
Gabriel Iuhasz, Dana Petcu
Perspectives on Anomaly and Event Detection in Exascale Systems. BigDataSecurity/HPSC/IDS (2019)
Ioan Dragan, Gabriel Iuhasz, Dana Petcu
A Scalable Platform for Monitoring Data Intensive Applications. J. Grid Comput. 17 (3) (2019)
Madalina Erascu, Gabriel Iuhasz, Flavia Micota
An Architecture for a Management Agency for Cloud Resources. SYNASC (2018)
Daniel Pop, Gabriel Iuhasz, Ciprian Craciun, Silviu Panica
Support Services for Applications Execution in Multi-clouds Environments. ICAC (2016)
Dong Nguyen Doan, Gabriel Iuhasz
Tuning Logstash Garbage Collection for High Throughput in a Monitoring Platform. SYNASC (2016)
Gabriel Iuhasz, Daniel Pop, Ioan Dragan
Architecture of a Scalable Platform for Monitoring Multiple Big Data Frameworks. Scalable Comput. Pract. Exp. 17 (4) (2016)
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)
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) (2015)
Gabriel Iuhasz, Ioan Dragan
An Overview of Monitoring Tools for Big Data and Cloud Applications. SYNASC (2015)
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) (2014)
Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru
Data mining considerations for knowledge acquisition in real time strategy games. SISY (2013)
Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru
A Survey of Adaptive Game AI: Considerations for Cloud Deployment. IDC (2013)
Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru
Evolutionary Approach to Negotiation in Game AI. SYNASC (2013)
Gabriel Iuhasz, Victor Ion Munteanu, Viorel Negru
Framework for Enabling Scalable Learning Game AI. ENASE (2013)
Gabriel Iuhasz, Viorel Negru, Daniela Zaharie
Neuroevolution based multi-agent system for micromanagement in real-time strategy games. BCI (2012)
Gabriel Iuhasz, Monica Tirea, Viorel Negru
Neural Network Predictions of Stock Price Fluctuations. SYNASC (2012)