25 citations · 73 across the 5 of their papers we have counts for
5 papers
Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
Alan G. Paredes Cetina, Kaouther Benguessoum, Raoni Lourenço +1
Recent advances in deep learning have improved multivariate time series (MTS) classification and regression by capturing complex patterns, but their lack of transparency hinders de…
AlphaD3M: Machine Learning Pipeline Synthesis
Iddo Drori, Yamuna Krishnamurthy, Remi Rampin +5
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…
BugDoc: Algorithms to Debug Computational Processes
Raoni Lourenço, Juliana Freire, Dennis Shasha
Data analysis for scientific experiments and enterprises, large-scale simulations, and machine learning tasks all entail the use of complex computational pipelines to reach quantit…
Debugging Machine Learning Pipelines
Raoni Lourenço, Juliana Freire, Dennis Shasha
Machine learning tasks entail the use of complex computational pipelines to reach quantitative and qualitative conclusions. If some of the activities in a pipeline produce erroneou…
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar
Iddo Drori, Yamuna Krishnamurthy, Raoni Lourenco +4
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 Bay…