Uhlemeyer, S., Lienen, J., Hüllermeier, E., &; Gottschalk, H. (2023). Detecting Novelties with Empty Classes. In arXiv:2305.00983.

Nguyen, D. A., Levie, R., Lienen, J., Kutyniok, G., &; Hüllermeier, E. (2023). Memorization-Dilation: Modeling Neural Collapse Under Noise. International Conference on Learning Representations, ICLR. International Conference on Learning Representations, ICLR, Kigali, Ruanda.

Lienen, J., &; Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764.

Campagner, A., Lienen, J., Hüllermeier, E., &; Ciucci, D. (2022). Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. Lecture Notes in Computer Science, 13633, 57–70.

Demir, C., Lienen, J., &; Ngonga Ngomo, A.-C. (2022). Kronecker Decomposition for Knowledge Graph Embeddings. In arXiv:2205.06560.

Lienen, J., Demir, C., &; Hüllermeier, E. (2022). Conformal Credal Self-Supervised Learning. In arXiv:2205.15239.

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.

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.

Lienen, J., &; Hüllermeier, E. (2021). Instance weighting through data imprecisiation. International Journal of Approximate Reasoning.

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.

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.

Lienen, J., &; Hüllermeier, E. (2021). Credal Self-Supervised Learning. ArXiv:2106.11853.

Lienen, J., &; Hüllermeier, E. (2020). Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce  model. ArXiv:2010.13118.

Lienen, J. (2019). Automated Feature Engineering on Time Series Data.