Research output per year
Research output per year
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Dive into the research topics where S. Ghiassi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Label Alchemy: Transforming Noisy Data into Precious Insights in Deep Learning
Ghiassi, S., 2024, 154 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile10 Downloads (Pure) -
Robust Learning via Golden Symmetric Loss of (un)Trusted Labels
Ghiassi, A., Birke, R. & Chen, L. Y., 2023, 2023 SIAM International Conference on Data Mining, SDM 2023. Society for Industrial and Applied Mathematics, p. 568-576 9 p. (2023 SIAM International Conference on Data Mining, SDM 2023).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile44 Downloads (Pure) -
Multi Label Loss Correction against Missing and Corrupted Labels
Ghiassi, A., Birke, R. & Chen, L. Y., 2022, In: Proceedings of Machine Learning Research. 189, p. 359-374 16 p.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile3 Downloads (Pure) -
Trusted Loss Correction for Noisy Multi-Label Learning
Ghiassi, A., Pene, C. O., Birke, R. & Chen, L. Y., 2022, In: Proceedings of Machine Learning Research. 189, p. 343-358 16 p.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile -
Artifact: Masa: Responsive Multi-DNN Inference on the Edge
Cox, B., Galjaard, J., Ghiassi, A., Birke, R. & Chen, L. Y., 2021, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021. IEEE, p. 446-447 2 p. 9431004. (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
4 Citations (Scopus)
Datasets
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Code underlying the PhD thesis: Label Alchemy: Transforming Noisy Data into Precious Insights in Deep Learning
Ghiassi, S. (Creator), TU Delft - 4TU.ResearchData, 22 Apr 2024
DOI: 10.4121/B00277A6-9431-47DC-9369-E9A477031E66
Dataset/Software: Dataset