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Found 5 papers, 4 papers with code
COVID-19 Detection from Exhaled Breath
The SARS-CoV-2 coronavirus emerged in 2019, causing a COVID-19 pandemic that resulted in 7 million deaths out of 770 million reported cases over the next four years.
Modeling Generalization in Machine Learning: A Methodological and Computational Study
As machine learning becomes more and more available to the general public, theoretical questions are turning into pressing practical issues.
A Novel Outlook on Feature Selection as a Multi-objective Problem
We thus propose a multi-objective optimization approach to feature selection, EvoFS, with the objectives to i. minimize feature subset size, ii.
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms
A coreset is a subset of the training set, using which a machine learning algorithm obtains performances similar to what it would deliver if trained over the whole original data.
Ranked #1 on
Core set discovery
on MNIST
The Maximum Common Subgraph Problem: A Portfolio Approach
The Maximum Common Subgraph is a computationally challenging problem with countless practical applications.
Data Structures and Algorithms
