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ORCIDMauricio Fadel Argerich
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2020 – today
- 2024
[j4]Mauricio Fadel Argerich
, Marta Patiño-Martínez:
Measuring and Improving the Energy Efficiency of Large Language Models Inference. IEEE Access 12: 80194-80207 (2024)- 2023
- [j3]Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng:
VersaMatch: Ontology Matching with Weak Supervision. Proc. VLDB Endow. 16(6): 1305-1318 (2023) - 2022
- [p1]Richard McCreadie, John Soldatos, Jonathan Fürst, Mauricio Fadel Argerich, George Kousiouris, Jean-Didier Totow, Antonio Castillo Nieto, Bernat Quesada Navidad, Dimosthenis Kyriazis, Craig Macdonald, Iadh Ounis:
Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations. Technologies and Applications for Big Data Value 2022: 135-158 - 2020
- [j2]Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng, Ernö Kovacs:
Towards Knowledge Infusion for Robust and Transferable Machine Learning in IoT. Open J. Internet Things 6(1): 24-34 (2020) - [c3]Mauricio Fadel Argerich, Jonathan Fürst, Bin Cheng:
Tutor4RL: Guiding Reinforcement Learning with External Knowledge. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020
2010 – 2019
- 2019
- [c2]Mauricio Fadel Argerich, Bin Cheng, Jonathan Fürst:
Reinforcement Learning based Orchestration for Elastic Services. WF-IoT 2019: 352-357 - [i1]Mauricio Fadel Argerich, Bin Cheng, Jonathan Fürst:
Reinforcement Learning Based Orchestration for Elastic Services. CoRR abs/1904.12676 (2019) - 2018
- [j1]Jonathan Fürst, Mauricio Fadel Argerich, Kaifei Chen, Ernö Kovacs:
Towards Adaptive Actors for Scalable IoT Applications at the Edge. Open J. Internet Things 4(1): 70-86 (2018) - [c1]Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng, Apostolos Papageorgiou:
Elastic Services for Edge Computing. CNSM 2018: 358-362
Coauthor Index
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