Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.

A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field
G. Schryen, G. Wagner, A. Benlian, G. Paré, Communications of the AIS 46 (2020) 134–186.

Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB
J. Bossek, C. Doerr, P. Kerschke, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 778–786.

Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 48–64.

Renew or cancel? Drivers of customer renewal decisions for IT-based service contracts
F. v Wangenheim, N. Wünderlich, J.H. Schumann, Journal of Business Research (2017) 181--188.

Estimation of Remaining Useful Lifetime of Piezoelectric Transducers Based on Self-Sensing
J.K. Kimotho, W. Sextro, T. Hemsel, in: IEEE Transactions on Reliability, 2017, pp. 1–10.

Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor
N. Ho, P. Kaufmann, M. Platzner, in: 2017 International Conference on Field Programmable Technology (ICFPT), 2017, pp. 215–218.

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.

Mathematics-related Competence of Early Childhood Teachers Visiting a Continuous Professional Development Course: An Intervention Study
J. Bruns, L. Eichen, H. Gasteiger, Mathematics Teacher Education and Development (MTED) 19 (2017) 76–93.

How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement
M. Geierhos, F.S. Bäumer, in: E. Métais, F. Meziane, M. Saraee, V. Sugumaran, S. Vadera (Eds.), Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems (NLDB), Springer, Cham, Switzerland, 2016, pp. 37–47.

Contrasting Risk Perceptions of Technology-Based Service Innovations in Inter-Organizational Settings.
S. Paluch, N. Wünderlich, Journal of Business Research 69 (2016) 2424--2431.

A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory
E. Weishäupl, E. Yasasin, G. Schryen, in: International Conference on Information Systems, 2015.

Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement
J. Bossek, B. Bischl, T. Wagner, G. Rudolph, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2015, pp. 1319–1326.

Wie kann über DBR die wissenschaftliche und praktische Relevanz der Forschung gesichert werden?
T. Brahm, T. Jenert, in: Humboldt-Universität, 2014.

A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech
V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (2014) 95–109.

Wissenschafts-Praxis-Kooperation in designbasierter Forschung: Im Spannungsfeld zwischen wissenschaftlicher Gültigkeit und praktischer Relevanz
T. Brahm, T. Jenert, Zeitschrift Für Berufs-Und Wirtschaftspädagogik-Beihefte (ZBW-B) (2014) 45–62.

Dynamic reliability management: Reconfiguring reliability-levels of hardware designs at runtime
J. Anwer, S. Meisner, M. Platzner, in: Reconfigurable Computing and FPGAs (ReConFig), 2013 International Conference On, 2013, pp. 1–6.

MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations
A. Chinaev, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 3352–3356.

Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition
V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 21 (2013) 1640–1652.

Server based indoor navigation using RSSI and inertial sensor information
M.K. Hoang, S. Schmitz, C. Drueke, D.H.T. Vu, J. Schmalenstroeer, R. Haeb-Umbach, in: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 2013, pp. 1–6.