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Found 6 papers, 2 papers with code
Android in the Wild: A Large-Scale Dataset for Android Device Control
The dataset contains human demonstrations of device interactions, including the screens and actions, and corresponding natural language instructions.
Software defect prediction with zero-inflated Poisson models
In this work we apply several Poisson and zero-inflated models for software defect prediction.
Distributed Correlation-Based Feature Selection in Spark
CFS (Correlation-Based Feature Selection) is an FS algorithm that has been successfully applied to classification problems in many domains.
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale
Labeling training data is one of the most costly bottlenecks in developing machine learning-based applications.
Distributed ReliefF based Feature Selection in Spark
The results show that the non-distributed implementation is unable to handle such large volumes of data without specialized hardware, while our design can process them in a scalable way with much better processing times and memory usage.
Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization
Many Pareto-based multi-objective evolutionary algorithms require to rank the solutions of the population in each iteration according to the dominance principle, what can become a costly operation particularly in the case of dealing with many-objective optimization problems.
