关注
Teodor Fredriksson
Teodor Fredriksson
在 chalmers.se 的电子邮件经过验证
标题
引用次数
引用次数
年份
Data labeling: An empirical investigation into industrial challenges and mitigation strategies
T Fredriksson, DI Mattos, J Bosch, HH Olsson
International Conference on Product-Focused Software Process Improvement …, 2020
1032020
Machine Learning Models for Automatic Labeling: A Systematic Literature Review.
T Fredriksson, J Bosch, HH Olsson
ICSOFT, 552-561, 2020
132020
An Empirical Evaluation of Algorithms for Data Labeling
T Fredriksson, DI Mattos, J Bosch, HH Olsson
2021 IEEE 45th Annual Computers, Software, and Applications Conference …, 2021
52021
Assessing the suitability of semi-supervised learning datasets using item response theory
T Fredriksson, DI Mattos, J Bosch, HH Olsson
2021 47th Euromicro Conference on Software Engineering and Advanced …, 2021
42021
Machine learning algorithms for labeling: Where and how they are used?
T Fredriksson, J Bosch, HH Olsson, DI Mattos
2022 IEEE International Systems Conference (SysCon), 1-8, 2022
32022
Classification of Complex-Valued Radar Data using Semi-Supervised Learning: a Case Study
T Fredriksson, J Bosch, HH Olsson
2023 49th Euromicro Conference on Software Engineering and Advanced …, 2023
2023
Opportunities, Challenges and Solutions for Automatic Labeling of Data Using Machine Learning
T Fredriksson
PQDT-Global, 2023
2023
2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)| 979-8-3503-4235-2/23/$31.00© 2023 IEEE| DOI: 10.1109/SEAA60479. 2023.00072
M Abdullah, S Abdul-Rahman, M Adil, MO Ahmad, X Alberdi, NB Ali, ...
2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)| 978-1-6654-2705-0/21/$31.00© 2021 IEEE| DOI: 10.1109/SEAA53835. 2021.00058
C Almeida, S Alonso, C Alves, H Aman, S Amasaki, G Andrade, L Angelis, ...
Machine Learning Algorithms for Data Labeling: An Empirical Evaluation
TA Fredriksson, DI Mattos, J Bosch, HH Olsson
系统目前无法执行此操作,请稍后再试。
文章 1–10