Darly: Deep Reinforcement Learning for QoS-aware scheduling under resource heterogeneity Optimizing serverless video analytics. - Dimitrios Giagkos; Achilleas Tzenetopoulos; Dimosthenis Masouros; Dimitrios Soudris; Sotirios Xydis (CLOUD, 2023)

ZeekFlow: Deep Learning-Based Network Intrusion Detection a Multimodal Approach. - Dimitrios Giagkos; Orestis Kompougias; Antonis Litke; Nikolaos Papadakis (ESORICS Workshops (2), 2023)

Data-Driven Information Extraction and Enrichment of Molecular Profiling Data for Cancer Cell Lines. - Ellery Smith; Rahel Paloots; Dimitris Giagkos; Michael Baudis; Kurt Stockinger (CoRR, 2023)

Zeekflow+: A Deep LSTM Autoencoder with Integrated Random Forest Classifier for Binary and Multi-class Classification in Network Traffic Data. - Emmanouil Arapidis; Nikos Temenos; Dimitris Giagkos; Ioannis Rallis; Dimitris Kalogeras; Nikolaos Papadakis; Antonis Litke; Sotirios Messinis (PETRA, 2024)

AI-Driven QoS-Aware Scheduling for Serverless Video Analytics at the Edge. - Dimitrios Giagkos; Achilleas Tzenetopoulos; Dimosthenis Masouros; Sotirios Xydis; Francky Catthoor; Dimitrios Soudris (Inf., 2024)