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14 Publications
2022 | Preprint | LibreCat-ID: 31546 | 
Lienen J, Demir C, Hüllermeier E. Conformal Credal Self-Supervised Learning. arXiv:220515239. Published online 2022.
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2021 | Conference Paper | LibreCat-ID: 27161
Lienen J, Hüllermeier E. Credal Self-Supervised Learning. In: Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS. ; 2021.
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2021 | Conference Paper | LibreCat-ID: 27162
Lienen J, Nommensen N, Ewerth R, Hüllermeier E. Robust Regression for Monocular Depth Estimation. In: 13th Asian Conference on Machine Learning, ACML. ; 2021.
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2021 | Journal Article | LibreCat-ID: 21636
Lienen J, Hüllermeier E. Instance weighting through data imprecisiation. International Journal of Approximate Reasoning. 2021.
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2021 | Conference Paper | LibreCat-ID: 21637 |
Lienen J, Hüllermeier E. From Label Smoothing to Label Relaxation. In: Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI. Vol 35. AAAI Press; 2021:8583-8591.
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2021 | Conference Paper | LibreCat-ID: 22280
Lienen J, Hüllermeier E, Ewerth R, Nommensen N. Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR. ; 2021:14595-14604.
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2021 | Preprint | LibreCat-ID: 22509 |
Lienen J, Hüllermeier E. Credal Self-Supervised Learning. arXiv:210611853. 2021.
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2020 | Preprint | LibreCat-ID: 20211 |
Lienen J, Hüllermeier E. Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce model. arXiv:201013118. 2020.
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2019 | Mastersthesis | LibreCat-ID: 16415
Lienen J. Automated Feature Engineering on Time Series Data.; 2019.
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