14 Publications
2023 | Preprint | LibreCat-ID: 44512 | 
Uhlemeyer S, Lienen J, Hüllermeier E, Gottschalk H. Detecting Novelties with Empty Classes. arXiv:230500983. Published online 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 31880 |
Nguyen DA, Levie R, Lienen J, Kutyniok G, Hüllermeier E. Memorization-Dilation: Modeling Neural Collapse Under Noise. In: International Conference on Learning Representations, ICLR. ; 2023.
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2023 | Preprint | LibreCat-ID: 45911 |
Lienen J, Hüllermeier E. Mitigating Label Noise through Data Ambiguation. arXiv:230513764. Published online 2023.
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| arXiv
2022 | Conference Paper | LibreCat-ID: 34542
Campagner A, Lienen J, Hüllermeier E, Ciucci D. Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. In: Lecture Notes in Computer Science. Vol 13633. Springer; 2022:57-70.
LibreCat
2022 | Preprint | LibreCat-ID: 31545 |
Demir C, Lienen J, Ngonga Ngomo A-C. Kronecker Decomposition for Knowledge Graph Embeddings. arXiv:220506560. Published online 2022.
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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.
LibreCat
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.
LibreCat
14 Publications
2023 | Preprint | LibreCat-ID: 44512 |
Uhlemeyer S, Lienen J, Hüllermeier E, Gottschalk H. Detecting Novelties with Empty Classes. arXiv:230500983. Published online 2023.
LibreCat
| Download (ext.)
| arXiv
2023 | Conference Paper | LibreCat-ID: 31880 |
Nguyen DA, Levie R, Lienen J, Kutyniok G, Hüllermeier E. Memorization-Dilation: Modeling Neural Collapse Under Noise. In: International Conference on Learning Representations, ICLR. ; 2023.
LibreCat
| Download (ext.)
2023 | Preprint | LibreCat-ID: 45911 |
Lienen J, Hüllermeier E. Mitigating Label Noise through Data Ambiguation. arXiv:230513764. Published online 2023.
LibreCat
| Download (ext.)
| arXiv
2022 | Conference Paper | LibreCat-ID: 34542
Campagner A, Lienen J, Hüllermeier E, Ciucci D. Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. In: Lecture Notes in Computer Science. Vol 13633. Springer; 2022:57-70.
LibreCat
2022 | Preprint | LibreCat-ID: 31545 |
Demir C, Lienen J, Ngonga Ngomo A-C. Kronecker Decomposition for Knowledge Graph Embeddings. arXiv:220506560. Published online 2022.
LibreCat
| Download (ext.)
2022 | Preprint | LibreCat-ID: 31546 |
Lienen J, Demir C, Hüllermeier E. Conformal Credal Self-Supervised Learning. arXiv:220515239. Published online 2022.
LibreCat
| Download (ext.)
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.
LibreCat
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.
LibreCat
2021 | Journal Article | LibreCat-ID: 21636
Lienen J, Hüllermeier E. Instance weighting through data imprecisiation. International Journal of Approximate Reasoning. 2021.
LibreCat
| Download (ext.)
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.
LibreCat
| Download (ext.)
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.
LibreCat
2021 | Preprint | LibreCat-ID: 22509 |
Lienen J, Hüllermeier E. Credal Self-Supervised Learning. arXiv:210611853. 2021.
LibreCat
| Download (ext.)
2020 | Preprint | LibreCat-ID: 20211 |
Lienen J, Hüllermeier E. Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce model. arXiv:201013118. 2020.
LibreCat
| Download (ext.)
2019 | Mastersthesis | LibreCat-ID: 16415
Lienen J. Automated Feature Engineering on Time Series Data.; 2019.
LibreCat