Search Results for author: Jaume Bacardit

Found 4 papers, 1 papers with code

Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems

no code implementations12 Jun 2024 Ryan Zhou, Jaume Bacardit, Alexander Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John McCall, Niki van Stein, David Walker, Ting Hu

Additionally, we discuss the application of XAI principles within EC itself, examining how these principles can shed some light on the behavior and outcomes of EC algorithms in general, on the (automatic) configuration of these algorithms, and on the underlying problem landscapes that these algorithms optimize.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

Benchmark time series data sets for PyTorch -- the torchtime package

1 code implementation25 Jul 2022 Philip Darke, Paolo Missier, Jaume Bacardit

The development of models for Electronic Health Record data is an area of active research featuring a small number of public benchmark data sets.

Time Series Time Series Analysis +1

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