Computational self-awareness as design approach for visual sensor nodes
Z. Guettatfi, P. Hübner, M. Platzner, B. Rinner, in: 12th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8.

Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2017, pp. 1000–1005.

Complexity of Signalling in Routing Games under Uncertainty
J. Bürmann, Complexity of Signalling in Routing Games under Uncertainty, Universität Paderborn, 2017.

Bounding the Inefficiency of Equilibria in Congestion Games under Taxation
V.R. Vijayalakshmi, Bounding the Inefficiency of Equilibria in Congestion Games under Taxation, Universität Paderborn, 2017.

Cooperative static analysis of Android applications
F. Pauck, Cooperative Static Analysis of Android Applications, Universität Paderborn, 2017.

Making Gamification Easy for the Professor: Decoupling Game and Content with the StudyNow Mobile App
M. Feldotto, T. John, D. Kundisch, P. Hemsen, K. Klingsieck, A. Skopalik, in: Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology (DESRIST), 2017, pp. 462–467.

Towards a Lean Approach for Gamifying Education
T. John, M. Feldotto, P. Hemsen, K. Klingsieck, D. Kundisch, M. Langendorf, in: Proceedings of the 25th European Conference on Information Systems (ECIS), 2017, pp. 2970–2979.

Continuous Speed Scaling with Variability: A Simple and Direct Approach
A. Antoniadis, P. Kling, S. Ott, S. Riechers, Theoretical Computer Science (2017) 1–13.

Attribute-based Signatures using Structure Preserving Signatures
P. Bemmann, Attribute-Based Signatures Using Structure Preserving Signatures, Universität Paderborn, 2017.

A Study on Transfer Learning for Acoustic Event Detection in a Real Life Scenario
P. Arora, R. Haeb-Umbach, in: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017.

On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming
C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, R. Haeb-Umbach, On the Computation of Complex-Valued Gradients with Application to Statistically Optimum Beamforming, 2017.

Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation
C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.

A Generalized Log-Spectral Amplitude Estimator for Single-Channel Speech Enhancement
A. Chinaev, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.

Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings
L. Drude, R. Haeb-Umbach, in: INTERSPEECH 2017, Stockholm, Schweden, 2017.

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

Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization
M.D. Wever, F. Mohr, E. Hüllermeier, in: 27th Workshop Computational Intelligence, Dortmund, 2017.

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

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

Performance Assessment of IEEE 802.11p with an Open Source SDR-Based Prototype
B. Bloessl, M. Segata, C. Sommer, F. Dressler, IEEE Transactions on Mobile Computing (2017) 1162–1175.

Active Coevolutionary Learning of Requirements Specifications from Examples
M.D. Wever, L. van Rooijen, H. Hamann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2017, pp. 1327--1334.