Glarner T, Boenninghoff B, Walter O, Haeb-Umbach R. Leveraging Text Data for Word Segmentation for Underresourced Languages. In: INTERSPEECH 2017, Stockholm, Schweden. ; 2017.

Wever MD, Mohr F, Hüllermeier E. Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization. In: 27th Workshop Computational Intelligence. Dortmund; 2017.

Heymann J, Drude L, Boeddeker C, Hanebrink P, Haeb-Umbach R. BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2017.

Heymann J, Drude L, Haeb-Umbach R. A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing. Computer Speech and Language. 2017.

Wever MD. Active Learning of User Requirement Specifications in Dynamic Software Service Markets. Universität Paderborn; 2017.

Grothe M, Niemann T, Somorovsky J, Schwenk J. Breaking and Fixing Gridcoin. In: 11th USENIX Workshop on Offensive Technologies (WOOT 17). Vancouver, BC: USENIX Association; 2017.

Friedrich M, Schmidt WG, Schindlmayr A, Sanna S. Polaron optical absorption in congruent lithium niobate from time-dependent density-functional theory. Physical Review Materials. 2017;1(5). doi:10.1103/PhysRevMaterials.1.054406

Friedrich M, Schmidt WG, Schindlmayr A, Sanna S. Optical properties of titanium-doped lithium niobate from time-dependent density-functional theory. Physical Review Materials. 2017;1(3). doi:10.1103/PhysRevMaterials.1.034401

Schmidt F, Landmann M, Rauls E, et al. Consistent atomic geometries and electronic structure of five phases of potassium niobate from density-functional theory. Advances in Materials Science and Engineering. 2017;2017. doi:10.1155/2017/3981317

Mohr F, Lettmann T, Hüllermeier E. Planning with Independent Task Networks. In: Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017). ; 2017:193-206. doi:10.1007/978-3-319-67190-1_15