Publikationen

Dieses Verzeichnis enthält folgenden Referenzen zu Publikationen (sortiert nach Erscheinungsjahr und Autor):

Es befinden sich 131 Einträge in diesem Literaturverzeichnis.

Maunz, A, Gütlein, M, Rautenberg, M, Vorgrimmler, D, Gebele, D, and Helma, C (2013).
lazar: a modular predictive toxicology framework
Frontiers in Predictive Toxicology.

Schmidt, J, Hapfelmeier, A, Ghorbani, A, and Kramer, S (2013).
Learning Probabilistic Real-Time Automata from Multi-Attribute Event Logs
Intelligent Data Analysis Special Issue on Dynak Topics, 7(1):to appear.

Seeland, M, Kramer, S, and Pfahringer, B (2013).
Model Selection Based Product Kernel Learning for Regression on Graphs
In: Proceedings of the 28th Symposium On Applied Computing, to appear.

Böck, M, Ogishima, S, Tanaka, H, Kramer, S, and Kaderali, L (2012).
Hub-Centered Gene Network Reconstruction using Automatic Relevance Determination
PLoS ONE, 7(5):e35077.

Duchrow, T, Schröer, M, Griesbach, B, Kasperski, S, Maas genannt Bermpohl, G, Kramer, S, and Kirchner, F (2012).
Towards Electric Mobility Data Mining
In: IEEE International Electric Vehicle Conference, IEVC 2012, pp. in press, IEEE.

Ganzert, S, Kramer, S, and Guttmann, J (2012).
Predicting the lung compliance of mechanically ventilated patients via statistical modeling
Physiological Measurement, 33:345-359.

Geilke, M, Frank, E, and Kramer, S (2012).
Online Estimation of Discrete Densities using Classifier Chains
Miscellaneous publication, ECML-PKDD 2012 workshop Instant Interactive Data Mining.

Grzonka, S, Karwath, A, Dijoux, F, and Burgard, W (2012).
Activity-Based Estimation of Human Trajectories
IEEE Transactions on Robotics, 28(1):234–245.

Gütlein, M, Karwath, A, and Kramer, S (2012).
CheS-Mapper – Chemical Space Mapping and Visualization in 3D
Journal of Cheminformatics, 4(7).

Pesch, R, Böck, M, and Zimmer, R (2012).
ConReg: Analysis and Visualization of Conserved Regulatory Networks in Eukaryotes
In: Proceedings of the German Conference on Bioinformatics (GCB) 2012, Open Access Series in Informatics of the Schloss Dagstuhl.

Schmidt, J, Ansorge, S, and Kramer, S (2012).
Scalable Induction of Probabilistic Real-Time Automata Using Maximum Frequent Pattern Based Clustering
In: Proceedings of the twelfth SIAM International Conference on Data Mining, pp. to appear, SIAM / Omnipress.

Seeland, M, Karwath, A, and Kramer, S (2012).
A Structural Cluster Kernel for Learning on Graphs
In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, accepted.

Seeland, M, Pfahringer, B, and Kramer, S (2012).
Maximum Common Subgraph Based Locally Weighted Regression
In: Proceedings of the 27th Symposium On Applied Computing, pp. 484-491.

Wicker, J, Pfahringer, B, and Kramer, S (2012).
Multi-Label Classification using Boolean Matrix Decomposition
In: Proceedings of the 27th Symposium On Applied Computing, pp. 179-186 , ACM.

Alphonse, E, Girschick, T, Buchwald, F, and Kramer, S (2011).
A Numerical Refinement Operator based on Multi-Instance Learning
In: Inductive Logic Programming - 20th International Conference, ILP 2010, ed. by Paolo Frasconi and Francesca A. Lisi, vol. 6489, pp. 14-21, Springer. LNCS/LNAI.

Buchwald, F, Girschick, T, Seeland, M, and Kramer, S (2011).
Using Local Models to Improve (Q)SAR Predictivity
Molecular Informatics, 30(2-3):205-218.

Buchwald, F, Richter, L, and Kramer, S (2011).
Predicting a small molecule-kinase interaction map: A machine learning approach
Journal of Cheminformatics, 3:22.

Böck, M, Schmitt, C, and Kramer, S (2011).
A Study of Dynamic Time Warping for the Inference of Gene Regulatory Relationships
In: Proceedings of the Fifth International Workshop on Machine Learning in Systems Biology (MLSB11), ed. by S. Kramer and N. Lawrence.

Böck, M, Schmitt, C, and Kramer, S (2011).
A Study of Dynamic Time Warping for the Inference of Gene Regulatory Relationships
In: Proceedings of the German Conference on Bioinformatics (GCB11).

Hamp, T, Birzele, F, Buchwald, F, and Kramer, S (2011).
Improving Structure Alignment Based Prediction of SCOP Families Using Vorolign Kernels
Bioinformatics, 27(2):204-210.

Li, R, Hapfelmeier, A, Schmidt, J, Perneczky, R, Drzezga, A, Kurz, A, and Kramer, S (2011).
A case study of stacked multi-view learning in dementia research
In: Proceedings of the 13th Conference on Artificial Intelligence in Medicine, pp. 60–69, Berlin, Heidelberg, Springer-Verlag. LNCS.

Maunz, A, Helma, C, and Kramer, S (2011).
Efficient mining for structurally diverse subgraph patterns in large molecular databases
In: Machine Learning, vol. 83(2), pp. 193-218, Springer Netherlands.

Metzen, J, Kim, S, Duchrow, T, Kirchner, E, and Kirchner, F (2011).
On Transferring Spatial Filters in a Brain Reading Scenario
In: Statistical Signal Processing Workshop (SSP), 2011 IEEE, pp. 797–800, IEEE.

Schmidt, J and Kramer, S (2011).
The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining
In: Discovery Science - 14th International Conference, DS 2011, pp. 277-291, Springer.

Schmidt, J, Brändle, EM, and Kramer, S (2011).
Clustering with Attribute-Level Constraints
In: 11th IEEE International Conference on Data Mining (ICDM), ed. by Diane J. Cook and Jian Pei and Wei Wang and Osmar R. Zaiane and Xindong Wu, pp. 1206-1211, IEEE.