Big data analytics using semi-supervised learning methods. - Flavia D. Frumosu; Murat Kulahci (Qual. Reliab. Eng. Int., 2018)

Outliers detection using an iterative strategy for semi-supervised learning. - Flavia D. Frumosu; Murat Kulahci (Qual. Reliab. Eng. Int., 2019)

Cost-sensitive learning classification strategy for predicting product failures. - Flavia D. Frumosu; Abdul Rauf Khan; Henrik Schiøler; Murat Kulahci; Mohamed Zaki; Peter Westermann-Rasmussen (Expert Syst. Appl., 2020)

Mould wear-out prediction in the plastic injection moulding industry: a case study. - Flavia Dalia Frumosu; Georg Ørnskov Rønsch; Murat Kulahci (Int. J. Comput. Integr. Manuf., 2020)

Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan. - Nicole Nadine Lønfeldt; Flavia D. Frumosu; A.-R. Cecilie Mora-Jensen; Nicklas Leander Lund; Sneha Das; Anne Katrine Pagsberg; Line Katrine Harder Clemmensen (CoRR, 2022)

Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry. - Flavia D. Frumosu; Nicole Nadine Lønfeldt; A.-R. Cecilie Mora-Jensen; Sneha Das; Nicklas Leander Lund; Anne Katrine Pagsberg; Line Katrine Harder Clemmensen (CoRR, 2022)

Online monitoring for error detection in vat photopolymerization. - Flavia Dalia Frumosu; Macarena Méndez Ribó; Shuo Shan; Yang Zhang 043; Murat Kulahci (Int. J. Comput. Integr. Manuf., 2023)

Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition. - Laurits Fromberg; Troels Nielsen; Flavia Dalia Frumosu; Line H. Clemmensen (NLDL, 2024)