Neuroevolution based multi-agent system for micromanagement in real-time strategy games. - Gabriel Iuhasz; Viorel Negru; Daniela Zaharie (BCI, 2012)

Neural Network Predictions of Stock Price Fluctuations. - Gabriel Iuhasz; Monica Tirea; Viorel Negru (SYNASC, 2012)

Framework for Enabling Scalable Learning Game AI. - Gabriel Iuhasz; Victor Ion Munteanu; Viorel Negru (ENASE, 2013)

A Survey of Adaptive Game AI: Considerations for Cloud Deployment. - Gabriel Iuhasz; Victor Ion Munteanu; Viorel Negru (IDC, 2013)

Data mining considerations for knowledge acquisition in real time strategy games. - Gabriel Iuhasz; Victor Ion Munteanu; Viorel Negru (SISY, 2013)

Evolutionary Approach to Negotiation in Game AI. - Gabriel Iuhasz; Victor Ion Munteanu; Viorel Negru (SYNASC, 2013)

Neuroevolution Based Multi-Agent System with Ontology Based Template Creation for Micromanagement in Real-Time Strategy Games. - Gabriel Iuhasz; Viorel Negru; Daniela Zaharie (Inf. Technol. Control., 2014)

DICE: Quality-Driven Development of Data-Intensive Cloud Applications. - 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; et al. (MiSE@ICSE, 2015)

An Overview of Monitoring Tools for Big Data and Cloud Applications. - Gabriel Iuhasz; Ioan Dragan (SYNASC, 2015)

On Processing Extreme Data. - Dana Petcu; Gabriel Iuhasz; Daniel Pop; Domenico Talia; Jesús Carretero 001; Radu Prodan; Thomas Fahringer; Ivan Grasso; Ramón Doallo; María J. Martín; Basilio B. Fraguela; Roman Trobec; et al. (Scalable Comput. Pract. Exp., 2015)

Support Services for Applications Execution in Multi-clouds Environments. - Daniel Pop; Gabriel Iuhasz; Ciprian Craciun; Silviu Panica (ICAC, 2016)

Tuning Logstash Garbage Collection for High Throughput in a Monitoring Platform. - Dong Nguyen Doan; Gabriel Iuhasz (SYNASC, 2016)

Architecture of a Scalable Platform for Monitoring Multiple Big Data Frameworks. - Gabriel Iuhasz; Daniel Pop; Ioan Dragan (Scalable Comput. Pract. Exp., 2016)

Applying Self-* Principles in Heterogeneous Cloud Environments. - Ioan Dragan; Teodor-Florin Fortis; Gabriel Iuhasz; Marian Neagul; Dana Petcu (Cloud Computing, 2nd Ed., 2017)

An Architecture for a Management Agency for Cloud Resources. - Madalina Erascu; Gabriel Iuhasz; Flavia Micota (SYNASC, 2018)

Perspectives on Anomaly and Event Detection in Exascale Systems. - Gabriel Iuhasz; Dana Petcu (BigDataSecurity/HPSC/IDS, 2019)

A Scalable Platform for Monitoring Data Intensive Applications. - Ioan Dragan; Gabriel Iuhasz; Dana Petcu (J. Grid Comput., 2019)

M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications. - Vladislav Kashansky; Dragi Kimovski; Radu Prodan; Prateek Agrawal; Fabrizio Marozzo; Gabriel Iuhasz; Marek Justyna; Javier García-Blas (PDP, 2020)

Optimizing Deep Learning Models for Object Detection. - Calin-George Barburescu; Gabriel Iuhasz (SYNASC, 2020)

SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. - 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; et al. (MeditCom, 2021)

Autotuning of Exascale Applications With Anomalies Detection. - Dragi Kimovski; Roland Mathá; Gabriel Iuhasz; Fabrizio Marozzo; Dana Petcu; Radu Prodan (Frontiers Big Data, 2021)

TUFA: A TOSCA extension for the specification of accelerator-aware applications in the Cloud Continuum. - Adrian F. Spataru; Gabriel Iuhasz; Silviu Panica (COMPSAC, 2022)

Cycle Detection and Clustering for Cyber Physical Systems. - Gabriel Iuhasz; Silviu Panica; Alecsandru Duma (AINA (3), 2023)

Performance and Compliance Anomaly Detection. - Gabriel Iuhasz (SYNASC, 2023)

Anomaly detection for fault detection in wireless community networks using machine learning. - Llorenç Cerdà-Alabern; Gabriel Iuhasz; Gabriele Gemmi (Comput. Commun., 2023)

A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems. - Gabriel Iuhasz; Silviu Panica; Florin Fortis; Alecsandru Duma (AINA (2), 2024)

On the Performance of STAC-FastAPI and PgSTAC Using a Cloud-Native Deployment. - Alexandru Munteanu; Silviu Panica; Gabriel Iuhasz (AINA (5), 2024)

Benchmarking STAC Ecosystem Server Backends in Dataset Creation Applications. - Alexandru Munteanu; Gabriel Iuhasz; Silviu Panica (AINA (6), 2025)

Exploring machine learning methods for the identification of production cycles and anomaly detection. - Gabriel Iuhasz; Teodor-Florin Fortis; Silviu Panica (Internet Things, 2025)