Deep Learning for Time Series Classification
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Updated
Mar 18, 2023 - Python
Deep Learning for Time Series Classification
Python framework for automatically executing measurement-based experiments on native and web apps running on Android devices
Issue handling for Evidence-based Software Engineering: based on the publicly available data
Codes to clean data and construct variables for empirical finance.
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
一个基于中国市场的Fama-French五因子实证研究
Artifact repository for the paper "Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code", In Proceedings of The 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), Lisbon, Portugal, April 2024
An experiment to demonstrate the biases and predictability of our world.
Replication package for the ICSE-SEIS 2024 paper titled "An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms".
Regression-based multi-period difference-in-differences with heterogenous treatment effects
Python script, which creates images from code for program-comprehension studies.
A suite of Julia packages for difference-in-differences
一个基于中国市场的BW投资者情绪指标实证研究
Project repository for our first study on observing program comprehension with simultaneous fMRI and eye tracking
Template repository for starting a new empirical paper project implementing good practices for reproducibility using R
EASE 2022 - An empirical study on the Performance and Energy Consumption of AI Containerization Strategies for Computer-Vision Tasks
Empirical Analysis of Jenkins Pipelines on GitHub
📄 Replication Package: From Gender Biases to Gender-Inclusive Design: An Empirical Investigation
This is repository contains code for experiment to evaluate catastrophic forgetting in neural networks.
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