Gabriel Iuhasz

Orcid: 0000-0002-7490-2547

According to our database1, Gabriel Iuhasz authored at least 26 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
On the Performance of STAC-FastAPI and PgSTAC Using a Cloud-Native Deployment.
Proceedings of the Advanced Information Networking and Applications, 2024

A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
Anomaly detection for fault detection in wireless community networks using machine learning.
Comput. Commun., 2023

Cycle Detection and Clustering for Cyber Physical Systems.
Proceedings of the Advanced Information Networking and Applications, 2023

2022
TUFA: A TOSCA extension for the specification of accelerator-aware applications in the Cloud Continuum.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Autotuning of Exascale Applications With Anomalies Detection.
Frontiers Big Data, 2021


2020
Optimizing Deep Learning Models for Object Detection.
Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020

M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications.
Proceedings of the 28th Euromicro International Conference on Parallel, 2020

2019
A Scalable Platform for Monitoring Data Intensive Applications.
J. Grid Comput., 2019

Perspectives on Anomaly and Event Detection in Exascale Systems.
Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019

2018
An Architecture for a Management Agency for Cloud Resources.
Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

2017
Applying Self-* Principles in Heterogeneous Cloud Environments.
Proceedings of the Cloud Computing - Principles, Systems and Applications, Second Edition, 2017

2016
Architecture of a Scalable Platform for Monitoring Multiple Big Data Frameworks.
Scalable Comput. Pract. Exp., 2016

Tuning Logstash Garbage Collection for High Throughput in a Monitoring Platform.
Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

Support Services for Applications Execution in Multi-clouds Environments.
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

2015
On Processing Extreme Data.
Scalable Comput. Pract. Exp., 2015

An Overview of Monitoring Tools for Big Data and Cloud Applications.
Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

DICE: Quality-Driven Development of Data-Intensive Cloud Applications.
Proceedings of the 7th IEEE/ACM International Workshop on Modeling in Software Engineering, 2015

2014
Neuroevolution Based Multi-Agent System with Ontology Based Template Creation for Micromanagement in Real-Time Strategy Games.
Inf. Technol. Control., 2014

2013
Evolutionary Approach to Negotiation in Game AI.
Proceedings of the 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2013

Data mining considerations for knowledge acquisition in real time strategy games.
Proceedings of the IEEE 11th International Symposium on Intelligent Systems and Informatics, 2013

A Survey of Adaptive Game AI: Considerations for Cloud Deployment.
Proceedings of the Intelligent Distributed Computing VII, 2013

Framework for Enabling Scalable Learning Game AI.
Proceedings of the ENASE 2013, 2013

2012
Neural Network Predictions of Stock Price Fluctuations.
Proceedings of the 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2012

Neuroevolution based multi-agent system for micromanagement in real-time strategy games.
Proceedings of the Balkan Conference in Informatics, 2012, 2012


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