Elastic Services for Edge Computing. - Jonathan Fürst; Mauricio Fadel Argerich; Bin Cheng 003; Apostolos Papageorgiou (CNSM, 2018)

Towards Adaptive Actors for Scalable IoT Applications at the Edge. - Jonathan Fürst; Mauricio Fadel Argerich; Kaifei Chen; Ernö Kovacs (Open J. Internet Things, 2018)

Reinforcement Learning based Orchestration for Elastic Services. - Mauricio Fadel Argerich; Bin Cheng 003; Jonathan Fürst (WF-IoT, 2019)

Tutor4RL: Guiding Reinforcement Learning with External Knowledge. - Mauricio Fadel Argerich; Jonathan Fürst; Bin Cheng 003 (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Towards Knowledge Infusion for Robust and Transferable Machine Learning in IoT. - Jonathan Fürst; Mauricio Fadel Argerich; Bin Cheng 003; Ernö Kovacs (Open J. Internet Things, 2020)

Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations. - Richard McCreadie; John Soldatos 001; Jonathan Fürst; Mauricio Fadel Argerich; George Kousiouris; Jean-Didier Totow; Antonio Castillo Nieto; Bernat Quesada Navidad; Dimosthenis Kyriazis; Craig Macdonald; Iadh Ounis (Technologies and Applications for Big Data Value, 2022)

VersaMatch: Ontology Matching with Weak Supervision. - Jonathan Fürst; Mauricio Fadel Argerich; Bin Cheng 003 (Proc. VLDB Endow., 2023)

Measuring and Improving the Energy Efficiency of Large Language Models Inference. - Mauricio Fadel Argerich; Marta Patiño-Martínez (IEEE Access, 2024)