On Optimizing Workflows Using Query Processing Techniques. - Georgia Kougka; Anastasios Gounaris (SSDBM, 2012)

Declarative Expression and Optimization of Data-Intensive Flows. - Georgia Kougka; Anastasios Gounaris (DaWaK, 2013)

Optimization of Data-intensive Flows: Is it Needed? Is it Solved? - Georgia Kougka; Anastasios Gounaris (DOLAP, 2014)

Practical algorithms for execution engine selection in data flows. - Georgia Kougka; Anastasios Gounaris; Kostas Tsichlas (Future Gener. Comput. Syst., 2015)

Optimal Task Ordering in Chain Data Flows: Exploring the Practicality of Non-scalable Solutions. - Georgia Kougka; Anastasios Gounaris (DaWaK, 2017)

Modeling Data Flow Execution in a Parallel Environment. - Georgia Kougka; Anastasios Gounaris; Ulf Leser (DaWaK, 2017)

Cost Optimization of Data Flows Based on Task Re-ordering. - Georgia Kougka; Anastasios Gounaris (Trans. Large Scale Data Knowl. Centered Syst., 2017)

Dynamic Configuration of Partitioning in Spark Applications. - Anastasios Gounaris; Georgia Kougka; Rubén Tous; Carlos Tripiana Montes; Jordi Torres (IEEE Trans. Parallel Distributed Syst., 2017)

Βελτιστοποίηση ροών εργασιών για ανάλυση δεδομένων - Georgia Kougka (2017)

The many faces of data-centric workflow optimization: a survey. - Georgia Kougka; Anastasios Gounaris; Alkis Simitsis (Int. J. Data Sci. Anal., 2018)

An Overview of the CUREX Platform. - Antonio Jesús Díaz-Honrubia; Alejandro Rodríguez González; Juan Mora Zamorano; Jesús Rey Jiménez; Gustavo Gonzalez Granadillo; Rodrigo Diaz; Mariza Konidi; Panos Papachristou; Sokratis Nifakos; Georgia Kougka; Anastasios Gounaris (CBMS, 2019)

Event-Based Predictive Maintenance on Top of Sensor Data in a Real Industry 4.0 Case Study. - Athanasios Naskos; Georgia Kougka; Theodoros Toliopoulos; Anastasios Gounaris; Cosmas Vamvalis; Daniel Caljouw (PKDD/ECML Workshops (2), 2019)

Optimization of data flow execution in a parallel environment. - Georgia Kougka; Anastasios Gounaris (Distributed Parallel Databases, 2019)

Eligibility of BPMN Models for Business Process Redesign. - George Tsakalidis; Kostas Vergidis; Georgia Kougka; Anastasios Gounaris (Inf., 2019)

A Methodology for Runtime Detection and Extraction of Threat Patterns. - Christos Bellas; Athanasios Naskos; Georgia Kougka; George Vlahavas; Anastasios Gounaris; Athena Vakali; Apostolos Papadopoulos; Evmorfia Biliri; Nefeli Bountouni; Gustavo Gonzalez Granadillo (SN Comput. Sci., 2020)

On Knowledge Transfer from Cost-Based Optimization of Data-Centric Workflows to Business Process Redesign. - Georgia Kougka; Konstantinos Varvoutas; Anastasios Gounaris; George Tsakalidis; Kostas Vergidis (Trans. Large Scale Data Knowl. Centered Syst., 2020)

Mapping DMN to PDM to Enable Optimizations. - Konstantinos Varvoutas; Anastasios Gounaris; Georgia Kougka (BICOD, 2021)

Optimizing Business Processes through Parallel Task Execution. - Konstantinos Varvoutas; Georgia Kougka; Anastasios Gounaris (MEDES, 2022)

Facilitating DoS Attack Detection using Unsupervised Anomaly Detection. - Christos Bellas; Georgia Kougka; Athanasios Naskos; Anastasios Gounaris; Athena Vakali; Christos Xenakis; Apostolos Papadopoulos (SSDBM, 2022)

Rank-based Heuristics for Optimizing the Execution of Product Data Models. - Konstantinos Varvoutas; Anastasios Gounaris; Georgia Kougka; Hajo A. Reijers (CoRR, 2022)

Systematic exploitation of parallel task execution in business processes. - Konstantinos Varvoutas; Georgia Kougka; Anastasios Gounaris (Comput. Sci. Inf. Syst., 2023)

Exploiting General Purpose Big-Data Frameworks in Process Mining: The Case of Declarative Process Discovery. - Ioannis Mavroudopoulos; Konstantinos Varvoutas; Georgia Kougka; Anastasios Gounaris; Marco Comuzzi (BPM, 2024)

Optimizing the Execution of Product Data Models. - Konstantinos Varvoutas; Christos Bellas; Georgia Kougka; Anastasios Gounaris (IEEE Access, 2024)