GUM-konforme Unsicherheitsabschätzung bei inversen Problemen am Beispiel akustischer Transmissionsmessungen
N. Feldmann, F. Bause, B. Henning, GUM-konforme Unsicherheitsabschätzung bei inversen Problemen am Beispiel akustischer Transmissionsmessungen, 2016.

Die Corpusanalyse multimodaler Erzählungen am Beispiel graphischer Romane
A. Dunst, R. Hartel, in: DHd-Tagung 2015, Modellierung - Vernetzung - Visualisierung, Die Digital Humanities Als Fächerübergreifendes Forschungsparadigma, 2016.

Short Randomizable Aggregatable Signatures: Constructions and Security Analysis
F. Dallmeier, Short Randomizable Aggregatable Signatures: Constructions and Security Analysis, Universität Paderborn, 2016.

Requirements Specification-by-Example Using a Multi-Objective Evolutionary Algorithm
L. van Rooijen, H. Hamann, in: Proceedings of 24th IEEE International Requirements Engineering Conference (RE 2016), 2016, pp. 3--9.

CavSimBase: A database for large scale comparison of protein binding sites
M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016) 1423–1434.

Reconfigurable Accelerators in the World of General-Purpose Computing
T. Kenter, Reconfigurable Accelerators in the World of General-Purpose Computing, Universität Paderborn, 2016.

Program Slicing: A Way of Separating WHILE Programs into Precise and Approximate Portions
G. Zhang, Program Slicing: A Way of Separating WHILE Programs into Precise and Approximate Portions, Universität Paderborn, 2016.

NetIDE: All-in-one framework for next generation, composed SDN applications
P.A.A. Gutierrez, E. Rojas, A. Schwabe, C. Stritzke, R. Doriguzzi-Corin, A. Leckey, G. Petralia, A. Marsico, K. Phemius, S. Tamurejo, in: 2016 IEEE NetSoft Conference and Workshops (NetSoft), IEEE, 2016.

Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
F. Dressler, F. Meyer auf der Heide, eds., Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), ACM, 2016.

A non-disruptive automated approach to update SDN applications at runtime
A. Marsico, R. Doriguzzi-Corin, M. Gerola, D. Siracusa, A. Schwabe, in: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, IEEE, 2016.

Empowering network operating systems with memory management techniques
R. Doriguzzi-Corin, D. Siracusa, E. Salvador, A. Schwabe, in: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, IEEE, 2016.

Algorithm Engineering Aspects of Real-Time Rendering Algorithms
M. Fischer, C. Jähn, F. Meyer auf der Heide, R. Petring, in: L. Kliemann, P. Sanders (Eds.), Algorithm Engineering, Springer, 2016, pp. 226–244.

The impact of the Gabriel subgraph of the visibility graph on the gathering of mobile autonomous robots
S. Li, F. Meyer auf der Heide, P. Podlipyan, in: Algorithms for Sensor Systems, Proceedings of the 12th International Symposium on Algorithms and Experiments for Wireless Sensor Networks (ALGOSENSORS), Springer, 2016.

Asymptotically Optimal Gathering on a Grid
A. Cord-Landwehr, M. Fischer, D. Jung, F. Meyer auf der Heide, in: Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), ACM, 2016, pp. 301–312.

Gathering a Closed Chain of Robots on a Grid
S. Abshoff, A. Cord-Landwehr, M. Fischer, D. Jung, F. Meyer auf der Heide, in: Proceedings of the 30th International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2016, pp. 689–699.

On Competitive Algorithms for Approximations of Top-k-Position Monitoring of Distributed Streams
A. Macker, M. Malatyali, F. Meyer auf der Heide, in: 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2016.

Cost-efficient Scheduling on Machines from the Cloud
A. Mäcker, M. Malatyali, F. Meyer auf der Heide, S. Riechers, ArXiv:1609.01184 (2016).

Predicting Rankings of Software Verification Tools Using Kernels for Structured Data
M. Czech, Predicting Rankings of Software Verification Tools Using Kernels for Structured Data, Universität Paderborn, 2016.

Ein ultraschallbasiertes inverses Messverfahren zur Charakterisierung viskoelastischer Materialparameter von Polymeren
F. Bause, Ein Ultraschallbasiertes Inverses Messverfahren Zur Charakterisierung Viskoelastischer Materialparameter von Polymeren, Universität Paderborn, 2016.

Anwendungsm\'22oglichkeiten der Schallfeldvisualisierung in der Ultraschallmesstechnik
S. Olfert, B. Henning, Anwendungsm\'22oglichkeiten Der Schallfeldvisualisierung in Der Ultraschallmesstechnik, LibreCat University, 20AD.

5.3.1 - Ein ultraschallbasiertes inverses Messverfahren zur Charakterisierung viskoelastischer Materialparameter von Polymeren
F. Bause, B. Henning, in: LibreCat University, 2016.

3.2.3 - Direktgravimetrischer Partikelmasse-Sensor zur quasikontinuierlichen Emissionsmessung
S. Ester, M. Struschka, B. Henning, in: LibreCat University, 2016.

Towards the price of leasing online
S. Abshoff, P. Kling, C. Markarian, F. Meyer auf der Heide, P. Pietrzyk, Journal of Combinatorial Optimization (2016) 1197--1216.

Towards On-The-Fly Image Processing
A. Jungmann, Towards On-The-Fly Image Processing, Universität Paderborn, 2016.

Towards Automated Service Composition Under Quality Constraints
F. Mohr, Towards Automated Service Composition Under Quality Constraints, Universität Paderborn, 2016.

Towards a Universal Approach for Monotonic Searchability in Self-stabilizing Overlay Networks
C. Scheideler, A. Setzer, T.F. Strothmann, in: Proceedings of the 30th International Symposium on Distributed Computing (DISC), 2016, pp. 71--84.

The Monotone Circuit Value Problem with Bounded Genus Is in NC
F.N. Abu-Khzam, S. Li, C. Markarian, F. Meyer auf der Heide, P. Podlipyan, in: Proceedings of the 22nd International Conference on Computing and Combinatorics (COCOON), 2016, pp. 92–102.

Systematic evaluation of peer-to-peer systems using PeerfactSim.KOM
M. Feldotto, K. Graffi, Concurrency and Computation: Practice and Experience 28 (2016) 1655–1677.

Using Deep Convolutional Neural Networks in Monte Carlo Tree Search
T. Graf, M. Platzner, in: Computer and Games, 2016.

Monte-Carlo Simulation Balancing Revisited
T. Graf, M. Platzner, in: IEEE Computational Intelligence and Games, 2016.

Verifying Worst-Case Completion Times for Reconfigurable Hardware Modules using Proof-Carrying Hardware
T. Wiersema, M. Platzner, in: Proceedings of the 11th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC 2016), 2016, pp. 1--8.

An Approach to Non-Destructive Testing of Aged Polymers
E. Moritzer, M. Hüttner, B. Henning, M. Webersen, in: The Polymer Processing Society (Ed.), 2016.

Molekularen Schäden auf der Spur
E. Moritzer, M. Hüttner, B. Henning, M. Webersen, Kunststoffe (2016) 94–96.

Detecting Molecular Damage
E. Moritzer, M. Hüttner, B. Henning, M. Webersen, Kunststoffe International (2016) 43–45.

Non-destructive characterization of hygrothermally aged polymers
E. Moritzer, M. Hüttner, B. Henning, M. Webersen, in: Society of Plastics Engineers (Ed.), 2016.

Ultraschallbasierte Charakterisierung von gealterten Polymeren
E. Moritzer, M. Hüttner, B. Henning, M. Webersen, in: Institut für Wissenschaftliche Veröffentlichungen (Ed.), Jahresmagazin Kunststofftechnik 2016, 2016, pp. 2–7.

Zerstörungsfreie Charakterisierung des hydrothermischen Alterungsverhaltens von Polymeren
M. Webersen, M. Hüttner, F. Bause, E. Moritzer, B. Henning, in: AMA Service GmbH (Ed.), 2016, pp. 683–688.

Verifikation von Service Kompositionen mit Spin
M. Dewender, Verifikation von Service Kompositionen mit Spin, Universität Paderborn, 2016.

Verifikation von Service Kompositionen mit Prolog
P. Heinisch, Verifikation von Service Kompositionen mit Prolog, Universität Paderborn, 2016.

Insider-resistent Distributed Storage Systems
M. Eikel, Insider-Resistent Distributed Storage Systems, Universität Paderborn, 2016.

Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.

 Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany
F. Hoffmann, E. Hüllermeier, R. Mikut, eds.,  Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016.

Extreme F-measure maximization using sparse probability estimates 
K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, E. Hüllermeier, in: M.F. Balcan, K.Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016.

Learning to aggregate using uninorms,  in Proceedings ECML/PKDD-2016
V. Melnikov, E. Hüllermeier, in: European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 756–771.

Consistency of probalistic classifier trees
K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 511–526.

Predicting the electricity consumption of buildings: An improved CBR approach
A. Shabani, A. Paul, R. Platon, E. Hüllermeier, in: In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–369.

Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts
K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–461.

On the Identifiability of models in multi-criteria preference learning 
C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.

Preference-Based Reinforcement Learning Using Dyad Ranking
D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.

Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators
I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.