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Flavia D. Frumosu

Flavia Dalia Frumosu

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Journal Articles

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2023
[j5]
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  - journals/ijcim/FrumosuRSZK23
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Flavia Dalia Frumosu, Macarena Méndez Ribó, Shuo Shan, Yang Zhang, Murat Kulahci:
Online monitoring for error detection in vat photopolymerization. Int. J. Comput. Integr. Manuf. 36(9): 1313-1330 (2023)
2020
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Flavia D. Frumosu, Abdul Rauf Khan, Henrik Schiøler, Murat Kulahci, Mohamed Zaki, Peter Westermann-Rasmussen:
Cost-sensitive learning classification strategy for predicting product failures. Expert Syst. Appl. 161: 113653 (2020)
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Flavia Dalia Frumosu, Georg Ørnskov Rønsch, Murat Kulahci:
Mould wear-out prediction in the plastic injection moulding industry: a case study. Int. J. Comput. Integr. Manuf. 33(12): 1245-1258 (2020)
2019
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Flavia D. Frumosu, Murat Kulahci:
Outliers detection using an iterative strategy for semi-supervised learning. Qual. Reliab. Eng. Int. 35(5): 1408-1423 (2019)
2018
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Flavia D. Frumosu, Murat Kulahci:
Big data analytics using semi-supervised learning methods. Qual. Reliab. Eng. Int. 34(7): 1413-1423 (2018)

Conference and Workshop Papers

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2024
[c1]
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Laurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H. Clemmensen:
Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition. NLDL 2024: 67-74

Informal and Other Publications

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2022
[i2]
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  - journals/corr/abs-2205-05737
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Nicole Nadine Lønfeldt, Flavia D. Frumosu, A.-R. Cecilie Mora-Jensen, Nicklas Leander Lund, Sneha Das, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen:
Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan. CoRR abs/2205.05737 (2022)
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Flavia D. Frumosu, Nicole Nadine Lønfeldt, A.-R. Cecilie Mora-Jensen, Sneha Das, Nicklas Leander Lund, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen:
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry. CoRR abs/2207.04724 (2022)

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