Raoni Lourenço
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Author Swipe
View article: Decision Support Model for Time Series Data Augmentation Method Selection
Decision Support Model for Time Series Data Augmentation Method Selection Open
Data augmentation (DA) plays a crucial role in machine learning by improving model generalization and tackling data scarcity issues, particularly prevalent in domains with limited access to sensitive information or rare events. Despite the…
View article: DataPrism: Exposing Disconnect between Data and Systems
DataPrism: Exposing Disconnect between Data and Systems Open
peer reviewed
View article: AlphaD3M: Machine Learning Pipeline Synthesis
AlphaD3M: Machine Learning Pipeline Synthesis Open
We introduce AlphaD3M, an automatic machine learning (AutoML) system based on meta reinforcement learning using sequence models with self play. AlphaD3M is based on edit operations performed over machine learning pipeline primitives provid…
View article: DataExposer: Exposing Disconnect between Data and Systems
DataExposer: Exposing Disconnect between Data and Systems Open
As data is a central component of many modern systems, the cause of a system malfunction may reside in the data, and, specifically, particular properties of the data. For example, a health-monitoring system that is designed under the assum…
View article: BugDoc: A System for Debugging Computational Pipelines
BugDoc: A System for Debugging Computational Pipelines Open
peer reviewed
View article: Automatic Machine Learning by Pipeline Synthesis using Model-Based\n Reinforcement Learning and a Grammar
Automatic Machine Learning by Pipeline Synthesis using Model-Based\n Reinforcement Learning and a Grammar Open
Automatic machine learning is an important problem in the forefront of\nmachine learning. The strongest AutoML systems are based on neural networks,\nevolutionary algorithms, and Bayesian optimization. Recently AlphaD3M reached\nstate-of-t…
View article: Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar Open
Automatic machine learning is an important problem in the forefront of machine learning. The strongest AutoML systems are based on neural networks, evolutionary algorithms, and Bayesian optimization. Recently AlphaD3M reached state-of-the-…