Maximiliano Osorio
Maximiliano Osorio
Verified email at
Cited by
Cited by
Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making
Y Gil, D Garijo, D Khider, CA Knoblock, V Ratnakar, M Osorio, H Vargas, ...
ACM Transactions on Interactive Intelligent Systems 11 (2), 1-49, 2021
OKG-Soft: An open knowledge graph with machine readable scientific software metadata
D Garijo, M Osorio, D Khider, V Ratnakar, Y Gil
2019 15th International Conference on eScience (eScience), 349-358, 2019
OBA: An ontology-based framework for creating REST APIs for knowledge graphs
D Garijo, M Osorio
The Semantic Web–ISWC 2020: 19th International Semantic Web Conference …, 2020
El control interno en las PYMES: Caso Empresa Noble LGA
MO Díaz, TL Moreno, AA Olvera, MK Osorio
Visionario Digital 90, 2021
JOVIAL: Notebook-based astronomical data analysis in the cloud
M Araya, M Osorio, M Díaz, C Ponce, M Villanueva, C Valenzuela, ...
Astronomy and computing 25, 110-117, 2018
DockerPedia: a Knowledge Graph of Docker Images.
M Osorio, CB Aranda, H Vargas
ISWC (P&D/Industry/BlueSky), 2018
Storage Balancing in P2P Based Distributed RDF Data Stores
M Osorio, C Buil-Aranda
DockerPedia: A Knowledge Graph of Software Images and Their Metadata
M Osorio, C Buil-Aranda, I Santana-Perez, D Garijo
International Journal of Software Engineering and Knowledge Engineering 32 …, 2022
Docker-based implementation for an astronomical data analysis cloud service [M]
M Díaz, M Araya, C Jauregui, C Valenzuela, L Pizarro, M Osorio, M Solar
XXVII Astronomical Data Analysis Software & Systems, ADASS, 1-4, 2018
Bacteriological and parasitological survey of hospital food handlers.
MC Diaz, V Munoz, J Durruty, M Osorio, M Arriagada, H Reyes, MB Lynch
Revista Medica de Chile 108 (10), 900-902, 1980
Towards Capturing Scientific Reasoning to Automate Data Analysis
Y Gil, D Khider, M Osorio, V Ratnakar, H Vargas, D Garijo, S Pierce
Proceedings of the Annual Conference of the Cognitive Science Society 44, 2022
Towards democratizing modeling at scale
Y Gil, M Osorio, V Ratnakar, S Pierce, N Thorne, P Lubbs
2021 IEEE 17th International Conference on eScience (eScience), 269-270, 2021
A framework for the broad dissemination of hydrological models for non-expert users
T Schaffhauser, D Garijo, M Osorio, D Bittner, S Pierce, H Vargas, M Disse, ...
Environmental Modelling & Software 164, 105695, 2023
An AI Approach to Integrating Climate, Hydrology, and Agriculture Models
B Berhanu, E Bisrat, Y Gil, D Khider, M Osorio, V Ratnakar, H Vargas
MINT: An intelligent interface for understanding the impacts of climate change on hydrological, agricultural and economic systems
D Khider, Y Gil, KM Cobourn, E Deelman, C Duffy, R Ferreira da Silva, ...
AGU Fall Meeting Abstracts 2019, PA33C-1108, 2019
Automatizing experiment reproducibility using semantic models and container virtualization
M Osorio, I Santana, C Buil-Aranda
Towards reproducibility of computational environments for Scientific Experiments using Container-based virtualization.
M Osorio, C Buil-Aranda, H Vargas
The system can't perform the operation now. Try again later.
Articles 1–17