Publications

Please find our computer science publications before 2001 at DBLP and our life science and application-related publications before 2001 at PubMed.

The following list is currently under constrution and thus incomplete.


2023

Hauptmann, T., Fellenz, S., Nathan, L., et al. (2023). Discriminative machine learning for maximal representative subsampling. Scientific Reports, 13(1). DOI
Vexler, J., Kramer, S. (2023). Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework. In Frontiers in Artificial Intelligence and Applications. IOS Press. DOI
Vexler, J., Kramer, S. (2023, June 28). Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach. 2023 26th International Conference on Information Fusion (FUSION). Published. 2023 26th International Conference on Information Fusion (FUSION). DOI
Lerner, R., Baker, D., Schwitter, C., et al. (2023). Four-dimensional trapped ion mobility spectrometry lipidomics for high throughput clinical profiling of human blood samples. Nature Communications, 14(1). DOI
Hauptmann, T., Kramer, S. (2023). A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction. BMC BIOINFORMATICS, 24(1). DOI Author/Publisher URL

2022

Pensel, L., Kramer, S. (2022). Neural RELAGGS. Author/Publisher URL
Hauptmann, T., Kramer, S. (2022). A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction. Author/Publisher URL
Garcon, A., Vexler, J., Budker, D., Kramer, S. (2022). Deep neural networks to recover unknown physical parameters from oscillating time series. PLOS ONE, 17(5). DOI Author/Publisher URL
Koeppel, M., Segner, A., Wagener, M., et al. (2022). Learning to rank Higgs boson candidates. SCIENTIFIC REPORTS, 12(1). DOI Author/Publisher URL
Pensel, L., Kramer, S. (2022). Neural RELAGGS. CoRR, abs/2211.02363.

2021

Burkhardt, S., Brugger, J., Wagner, N., et al. (2021). Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation. Frontiers in Artificial Intelligence, 4. DOI
Garcon, A., Vexler, J., Budker, D., Kramer, S. (2021). Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series. Author/Publisher URL

2020

Boer, D., and Kramer, S. (2020). Secure Sum Outperforms Homomorphic Encryption in (Current) Collaborative Deep Learning. Author/Publisher URL
Raza, A., and Kramer, S. (2020). Accelerating pattern-based time series classification : a linear time and space string mining approach. Knowledge and information systems, 62, Seiten: 1113-1141. Author/Publisher URL

2019

Köppel, M., Segner, A., Wagener, M., et al. (2019). Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance. Author/Publisher URL
Boer, D., Ahmadi, Z., Kramer, S. (2019). Privacy preserving client/vertical-servers classification. In C. Alzate (ed.), ECML PKDD 2018 Workshops : MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings (pp. Seiten: 125-140). Cham:Springer International Publishing. Author/Publisher URL
Burkhardt, S., Kramer, S. (2019). Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity. Knowledge and information systems, 59(1), Seiten: 93-115. Author/Publisher URL
Burkhardt, S., Kramer, S. (2019). Decoupling sparsity and smoothness in the Dirichlet variational autoencoder topic model. Journal of machine learning research, 20, Art. 131. Author/Publisher URL
Vexler, J., Kramer, S. (2019). Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption (Vols 11828, pp. 533-543). DOI Author/Publisher URL
Williams, J., Stönner, C., Edtbauer, A., et al. (2019). What can we learn from the air chemistry of crowds?. In A. Hansel (ed.), 8th International Conference on Proton Transfer Reaction Mass Spectrometry and its Applications (PTRMS 2019) (pp. Seiten: 121-123). Innsbruck:innsbruck university press.