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Carlos Minutti-Martinez

Observed names: C. Minutti, Carlos Minutti, Carlos Minutti M., Carlos Minutti Martinez, Minutti, Carlos
ORCID: 0000-0002-4002-0773
Observed ORCID: 0000-0002-4002-0773
OpenAlex ID: A5065730563
A stable computation of log‐derivatives from noisy drawdown data
2017 · Gustavo Ramos, Jesus Carrera, et al. · Water Resources Research · 22
A New Inverse Modeling Approach for Hydraulic Conductivity Estimation Based on Gaussian Mixtures
2020 · Carlos Minutti, Walter A. Illman, et al. · Water Resources Research · 10
Well Testing Characterization of Heavy-Oil Naturally Fractured Vuggy Reservoirs
2014 · Rodolfo Camacho-V., Susana Gómez, et al. · SPE Heavy and Extra Heavy Oil Conference: Latin America · 7
A Hybrid Model for the Prediction of Air Pollutants Concentration, Based on Statistical and Machine Learning Techniques
2021 · Carlos Minutti-Martinez, Magali Arellano-Vázquez, et al. · Lecture notes in computer science · 5
PumaMedNet-CXR: An Explainable Generative Artificial Intelligence for the Analysis and Classification of Chest X-Ray Images
2023 · Carlos Minutti-Martinez, Boris Escalante-Ramírez, et al. · Computación y Sistemas · 4
PumaMedNet-CXR: An Explainable Generative Artificial Intelligence for the Analysis and Classification of Chest X-Ray Images
2023 · Carlos Minutti-Martinez, Boris Escalante-Ramírez, et al. · Lecture notes in computer science · 4
Automated Characterization and Prediction of Wind Conditions Using Gaussian Mixtures
2020 · Magali Arellano-Vázquez, Carlos Minutti-Martinez, et al. · Lecture notes in computer science · 3
Unraveling the Complex Interplay Between Socioeconomic Status, Air Pollution, and Heart Disease Hospitalizations in an Urban Population
2024 · Carlos Minutti-Martinez · International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) · 2
Exploring nonlinear effects of air pollution on hospital admissions by disease using gradient boosting machines
2022 · Carlos Minutti-Martinez, Antonio Galindo, et al. · International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) · 2
Forecasting an Emerging Market Stock Index: a Comparative Study of Classical and Deep Learning Models
2025 · Genoveva Lorenzo-Landa, Carlos Minutti-Martinez · International Conference in Software Engineering Research and Innovation (CONISOFT) · 1
Air Pollution, Socioeconomic Status, and Avoidable Hospitalizations: A Multifaceted Analysis
2025 · Carlos Minutti-Martinez, Miguel F. Mata-Rivera, et al. · Mathematical and Computational Applications · 1
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Automatic Detection of Dynamic Wind Conditions in Mexican California: A Machine Learning-Driven Advancement in Wind Management
2025 · Magali Arellano Vázquez, Marlene Zamora Machado, et al. · IEEE Latin America Transactions · 1
Air Pollution, Socioeconomic Status, and Avoidable Hospitalizations in Mexico City: A Multifaceted Analysis
2025 · Carlos Minutti-Martinez, Miguel F. Mata-Rivera, et al. · Lecture notes in computer science · 1
Pollutant and meteorological data for the prediction of air pollutants in Mexico City.
2021 · Minutti, Carlos · Figshare · 1
An Algorithm for Hydraulic Tomography Based on a Mixture Model
2019 · Carlos Minutti, Walter A. Illman, et al. · Lecture notes in computer science · 1
Robust Characterization of Naturally Fractured Carbonate Reservoirs Through Sensitivity Analysis and Noise Propagation Reduction
2016 · C. Minutti, G. Ramos, et al. · SPE Latin America and Caribbean Heavy and Extra Heavy Oil Conference · 1
Physics-informed multi-task neural networks for joint mapping of fracture network and hydraulic conductivity in fractured aquifers: PI-XNET
2026 · Prem Chand Muraharirao, Phanindra kbvn, et al. · EGU General Assembly Conference Abstracts
Cyclo-VGAE: Dual-Mechanism Approach to GNN Robustness Against Noisy Labels
2025 · Carlos Minutti-Martinez, Boris Escalante-Ramírez, et al. · International Joint Conference on Neural Networks (IJCNN)
A comprehensive methodology for performing Continued Process Verification
2024 · Rodrigo Carrillo, Carlos Minutti, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems
Enhancing interpretability and bias control in deep learning models for medical image analysis using generative AI
2024 · Carlos Minutti-Martinez, Boris Escalante-Ramirez, et al. · Optics, Photonics, and Digital Technologies for Imaging Applications
Works count: 20
Citation count: 66
H-index: 4
I10-index: 2
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