This is the code and data used in the paper "Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules". See the included readme file for more details
The data analysis code associated with the publication "Awake ripples enhance emotional memory encod...
Underlying data and codes for the publication "Influence of geometrical manufacturing tolerances on ...
Supplemental material for the paper "Associating Working Memory Capacity and Code Change Ordering wi...
Data and algorithms for analysis associated with manuscript. See 'readme.txt' for further detail
This package contains the code used to simulate and analyze the data used in the publication
This deposit includes the numerical data (code and dataset) used to generate the results displayed i...
This package provides the datasets and programming code needed to reproduce the results reported in ...
Contains all code and data to reproduce the results shown in the manuscript "Explaining the optimist...
Data relating to codes published at https://github.com/scott-midgley/Machine-Learning-for-Solid-Solu...
Two zip-files are uploaded that contain data and code for the paper "Decentralized optimization appr...
Efficiency is one of many problems in programming, and there are many ways to achieve it. This colum...
This folder contains all of the code and data for the simulation study conducted to evaluate polyfre...
The code written, circuits generated, and statistics collected for the plots shown in the paper "Sta...
Data and code that can be used to reproduce the analyses underlying 'Mitigating pseudoreplication an...
This is codes and data for the paper "Reinforcement Learning for Process Control with Application in...
The data analysis code associated with the publication "Awake ripples enhance emotional memory encod...
Underlying data and codes for the publication "Influence of geometrical manufacturing tolerances on ...
Supplemental material for the paper "Associating Working Memory Capacity and Code Change Ordering wi...
Data and algorithms for analysis associated with manuscript. See 'readme.txt' for further detail
This package contains the code used to simulate and analyze the data used in the publication
This deposit includes the numerical data (code and dataset) used to generate the results displayed i...
This package provides the datasets and programming code needed to reproduce the results reported in ...
Contains all code and data to reproduce the results shown in the manuscript "Explaining the optimist...
Data relating to codes published at https://github.com/scott-midgley/Machine-Learning-for-Solid-Solu...
Two zip-files are uploaded that contain data and code for the paper "Decentralized optimization appr...
Efficiency is one of many problems in programming, and there are many ways to achieve it. This colum...
This folder contains all of the code and data for the simulation study conducted to evaluate polyfre...
The code written, circuits generated, and statistics collected for the plots shown in the paper "Sta...
Data and code that can be used to reproduce the analyses underlying 'Mitigating pseudoreplication an...
This is codes and data for the paper "Reinforcement Learning for Process Control with Application in...
The data analysis code associated with the publication "Awake ripples enhance emotional memory encod...
Underlying data and codes for the publication "Influence of geometrical manufacturing tolerances on ...
Supplemental material for the paper "Associating Working Memory Capacity and Code Change Ordering wi...