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Mauricio Fadel Argerich
Mauricio Fadel Argerich
PhD Candidate at Universidad Politécnica de Madrid
在 alumnos.upm.es 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Tutor4RL: Guiding Reinforcement Learning with External Knowledge
MF Argerich, J Fürst, B Cheng
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering., 2020
132020
Elastic Services for Edge Computing
J Fürst, M Fadel Argerich, B Cheng, A Papageorgiou
2018 14th International Conference on Network and Service Management (CNSM …, 2018
112018
Towards knowledge infusion for robust and transferable machine learning in IoT
J Fürst, MF Argerich, B Cheng, E Kovacs
Open Journal of Internet of Things (OJIOT) 6 (1), 24-34, 2020
92020
Towards adaptive actors for scalable iot applications at the edge
J Fürst, M Fadel Argerich, K Chen, E Kovacs
Open Journal of Internet Of Things (OJIOT) 4 (1), 70-86, 2018
92018
Reinforcement Learning Based Orchestration for Elastic Services
MF Argerich, B Cheng, J Fürst
arXiv preprint arXiv:1904.12676, 2019
7*2019
MOBILITYNET: TOWARDS A Public DATASET FOR MULTI-MODAL MOBILITY RESEARCH
K Shankari, J Fuerst, MF Argerich, E Avramidis, J Zhang
52020
Learning based Adaptation for Fog and Edge Computing Applications and Services
MF Argerich
Sapienza, University of Rome, 2018
52018
Versamatch: ontology matching with weak supervision
J Fürst, M Fadel Argerich, B Cheng
49th Conference on Very Large Data Bases (VLDB), Vancouver, Canada, 28 …, 2023
32023
Automated knowledge infusion for robust and transferable machine learning
J Fuerst, MF Argerich, B Cheng
US Patent App. 17/035,967, 2021
32021
Leveraging data-driven infrastructure management to facilitate AIOps for big data applications and operations
R McCreadie, J Soldatos, J Fuerst, MF Argerich, G Kousiouris, JD Totow, ...
Technologies and Applications for Big Data Value, 135-158, 2021
32021
Applying Weak Supervision to Mobile Sensor Data: Experiences with TransportMode Detection
J Fürst, MF Argerich, K Shankari, G Solmaz, B Cheng
AAAI Workshop, 2020
32020
Method and system for supporting autonomous driving of an autonomous vehicle
G Solmaz, EL Berz, J Fuerst, B Cheng, MF Argerich
US Patent App. 17/599,595, 2022
22022
How is Reinforcement Learning used in Business?
MF Argerich
1
Measuring and Improving the Energy Efficiency of Large Language Models Inference
MF Argerich, M Patiño-Martínez
IEEE Access, 2024
2024
Weakly supervised reinforcement learning
MF Argerich, J Fuerst, B Cheng
US Patent 11,809,977, 2023
2023
Data programming method for supporting artificial intelligence and corresponding system
B Cheng, J Fuerst, MF Argerich
US Patent App. 18/000,693, 2023
2023
Ontology matching based on weak supervision
B Cheng, J Fuerst, MF Argerich, M Hayakawa, A Kitazawa
US Patent 11,580,326, 2023
2023
Automated control through a traffic model
J Fuerst, F Cirillo, MF Argerich
US Patent 11,537,767, 2022
2022
Fine-grained indoor temperature measurements using smart devices for improved indoor climate and energy savings
J Fuerst, MF Argerich
US Patent App. 17/182,272, 2022
2022
Room-level indoor co2 measurement without dedicated co2 sensors
J Fuerst, MF Argerich
US Patent App. 17/182,319, 2022
2022
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