Detecting Temporal Anomalies in Business Processes Using Distance-Based Methods. - Ioannis Mavroudopoulos; Anastasios Gounaris (DS, 2020)

Sequence detection in event log files. - Ioannis Mavroudopoulos; Theodoros Toliopoulos; Christos Bellas; Andreas Kosmatopoulos; Anastasios Gounaris (EDBT, 2021)

Scalable real-time health data sensing and analysis enabling collaborative care delivery. - Ilias Dimitriadis; Ioannis Mavroudopoulos; Styliani Kyrama; Theodoros Toliopoulos; Anastasios Gounaris; Athena Vakali; Antonis Billis; Panagiotis D. Bamidis (Soc. Netw. Anal. Min., 2022)

Enhanced Edge Prediction, a case study: predicting links in Wikipedia sites. - Apostolos Giannoulidis; Ioannis Mavroudopoulos (DSAA, 2023)

HARVEST: a complete solution for smart agriculture monitoring. - Ioannis Mavroudopoulos; Theodoros Toliopoulos; Anastasios Gounaris; Georgios Kynigopoulos; Andreas Andreadis; Ilias Kalfas (EDBT/ICDT Workshops, 2023)

SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis. - Ioannis Mavroudopoulos; Anastasios Gounaris (IEEE Trans. Big Data, 2023)

A comparison of proximity-based methods for detecting temporal anomalies in business processes. - Ioannis Mavroudopoulos; Anastasios Gounaris (Mach. Learn., 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)

A Comprehensive Scalable Framework for Cloud-Native Pattern Detection with Enhanced Expressiveness. - Ioannis Mavroudopoulos; Anastasios Gounaris (CoRR, 2024)

Sequential pattern detection: similarities and differences across various fields. - Ioannis Mavroudopoulos; Kostas Tsichlas; Anastasios Gounaris (Data Min. Knowl. Discov., 2025)