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Guilherme Palermo Coelho

Has grant

Associate Professor

University of Campinas

Brazil

Research Interests

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Recent Grants

Grant: Close

Graph-based Convolutional Networks for Unsupervised and Semi-Supervised Learning

Open Date: 2022-03-01

Close Date: 2025-12-01

Grant: Close

BI0S - Brazilian Institute of Data Science

Open Date: 2021-12-01

Close Date:

Grant: Open

Engineering Research Center in Reservoir and Production Management

Open Date: 2019-02-01

Close Date: 2029-01-01

Grant: Close

Methodologies for Oil Field Development and Management through Reservoir Simulation

Open Date: 2016-01-01

Close Date: 2020-01-01

Grant: Close

Intelligent decision support systems based on parallel algorithms for data mining and optimization

Open Date: 2013-01-01

Close Date: 2014-01-01

Articles (14)

Year:

2026

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2026

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2026

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2025

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2025

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2025

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2024

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2024

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2024

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2024

Year:

2024

Year:

2024

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2023

Year:

2023

Collaborators (7)

Ana Estela Antunes da Silva

Lecturer

University of Campinas

BRAZIL

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Simone Pozza

Professor Associado (Associate Professor)

University of Campinas

BRAZIL

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Shasha Han

University of Birmingham

UNITED KINGDOM

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André Leon Sampaio Gradvohl

Associate Professor

University of Campinas

BRAZIL

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Saket Pande

Delft University of Technology

NETHERLANDS

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Reidar Bratvold

Professor

University of Stavanger

NORWAY

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Murilo Lucas

Professor

University of Campinas

BRAZIL

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ApplyKite TwinLearns as you apply

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Guilherme Palermo Coelho

Research Interests

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Recent Grants

Articles (14)

Short-term forecasting of medium- and high-intensity solar flares: A comparison between transformers and classical models

Revealing spatial inequalities in flood exposure across São Paulo State, Brazil

Health risks caused by atmospheric particulate matter and their relationship with the sustainable development goals

A Machine Learning-Assisted Decision-Making Methodology Based on Simplex Weight Generation for Non-Dominated Alternative Selection

Estimation of distribution algorithms for well placement optimization in petroleum fields

A survey on multi-objective, model-based, oil and gas field development optimization: Current status and future directions

Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset

Predicting the Brazilian Stock Market with Sentiment Analysis, Technical Indicators and Stock Prices: A Deep Learning Approach

An Information Theoretic Learning Artificial Immune Network for Alternative Clustering

Comparing Multi-Objective Surrogate Models for Binary Petroleum Well Placement

A benchmark generator for scenario-based discrete optimization

Evaluating the impact of drift detection mechanisms on stock market forecasting

Binary well placement optimization using a decomposition-based multi-objective evolutionary algorithm with diversity preservation

Effects of the Random Forests Hyper-Parameters in Surrogate Models for Multi-Objective Combinatorial Optimization: A Case Study using MOEA/D-RFTS

Collaborators (7)

Ana Estela Antunes da Silva

Simone Pozza

Shasha Han

André Leon Sampaio Gradvohl

Saket Pande

Reidar Bratvold

Murilo Lucas

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