Machine Learning Models for Automatic Labeling: A Systematic Literature Review. - Teodor Fredriksson; Jan Bosch; Helena Holmström Olsson (ICSOFT, 2020)

Data Labeling: An Empirical Investigation into Industrial Challenges and Mitigation Strategies. - Teodor Fredriksson; David Issa Mattos; Jan Bosch; Helena Holmström Olsson (PROFES, 2020)

An Empirical Evaluation of Algorithms for Data Labeling. - Teodor Fredriksson; David Issa Mattos; Jan Bosch; Helena Holmström Olsson (COMPSAC, 2021)

Assessing the Suitability of Semi-Supervised Learning Datasets using Item Response Theory. - Teodor Fredriksson; David Issa Mattos; Jan Bosch; Helena Holmström Olsson (SEAA, 2021)

Machine Learning Algorithms for Labeling: Where and How They are Used? - Teodor Fredriksson; Jan Bosch; Helena Holmström Olsson; David Issa Mattos (SysCon, 2022)

Classification of Complex-Valued Radar Data using Semi-Supervised Learning: a Case Study. - Teodor Fredriksson; Jan Bosch; Helena Holmström Olsson (SEAA, 2023)