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14 Publications
2022 | Preprint | LibreCat-ID: 31546 | 
Lienen, J., Demir, C., & Hüllermeier, E. (2022). Conformal Credal Self-Supervised Learning. In arXiv:2205.15239.
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2021 | Conference Paper | LibreCat-ID: 27161
Lienen, J., & Hüllermeier, E. (2021). Credal Self-Supervised Learning. Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS. Annual Conference on Neural Information Processing Systems, NeurIPS, Online.
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2021 | Conference Paper | LibreCat-ID: 27162
Lienen, J., Nommensen, N., Ewerth, R., & Hüllermeier, E. (2021). Robust Regression for Monocular Depth Estimation. 13th Asian Conference on Machine Learning, ACML. 13th Asian Conference on Machine Learning, ACML, Online.
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2021 | Journal Article | LibreCat-ID: 21636
Lienen, J., & Hüllermeier, E. (2021). Instance weighting through data imprecisiation. International Journal of Approximate Reasoning.
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2021 | Conference Paper | LibreCat-ID: 21637 |
Lienen, J., & Hüllermeier, E. (2021). From Label Smoothing to Label Relaxation. In Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI (Vol. 35, pp. 8583–8591). Online: AAAI Press.
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2021 | Conference Paper | LibreCat-ID: 22280
Lienen, J., Hüllermeier, E., Ewerth, R., & Nommensen, N. (2021). Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 14595–14604.
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2021 | Preprint | LibreCat-ID: 22509 |
Lienen, J., & Hüllermeier, E. (2021). Credal Self-Supervised Learning. ArXiv:2106.11853.
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2020 | Preprint | LibreCat-ID: 20211 |
Lienen, J., & Hüllermeier, E. (2020). Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce model. ArXiv:2010.13118.
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2019 | Mastersthesis | LibreCat-ID: 16415
Lienen, J. (2019). Automated Feature Engineering on Time Series Data.
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