4 code implementations • 19 Jul 2023 • Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy Lillicrap
The dataset contains human demonstrations of device interactions, including the screens and actions, and corresponding natural language instructions.
no code implementations • 30 Oct 2019 • Daniel Rodriguez, Javier Dolado, Javier Tuya, Dietmar Pfahl
In this work we apply several Poisson and zero-inflated models for software defect prediction.
no code implementations • 31 Jan 2019 • Raul-Jose Palma-Mendoza, Luis de-Marcos, Daniel Rodriguez, Amparo Alonso-Betanzos
CFS (Correlation-Based Feature Selection) is an FS algorithm that has been successfully applied to classification problems in many domains.
no code implementations • 2 Dec 2018 • Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, Rob Malkin
Labeling training data is one of the most costly bottlenecks in developing machine learning-based applications.
no code implementations • 1 Nov 2018 • Raul-Jose Palma-Mendoza, Daniel Rodriguez, Luis de-Marcos
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.
1 code implementation • 17 Sep 2018 • Javier Moreno, Daniel Rodriguez, Antonio Nebro, Jose A. Lozano
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.