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Lameiro C, Santamaría I, Utschick W, Schreier PJ. Maximally improper interference in underlay cognitive radio networks. In: Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. ; 2016.

Stein M, Nossek JA, Barbé K. Measurement-driven quality assessment of nonlinear systems by exponential replacement. In: Proc. IEEE Int. Instrum. &; Meas. Tech. Conf. ; 2016.

Soleymani M, Maham B, Ashtiani F. Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11 n-based WLAN. In: Proc. IEEE International Conference on Communications (ICC). ; 2016:1–6.

Ali U, Bober M, Thiede A. An integrated 118.4 to122 GHz low noise phase-locked loop (PLL) in 0.13 µm SiGe BiCMOS technology. In: 2016 German Microwave Conference (GeMiC). IEEE; 2016. doi:10.1109/gemic.2016.7461611

Peters EGW, Quevedo DE, stergaard J. Shaped Gaussian Dictionaries for Quantized Networked Control Systems with Correlated Dropouts. Trans Signal Processing. 2016;64(1):203–213.

Nagahara M, Quevedo DE, Nesi D. Maximum Hands-Off Control: A Paradigm of Control Effort Minimization. Trans Automat Contr. 2016;61(3):735–747.

stergaard J, Quevedo DE. Multiple Descriptions for Packetized Predictive Control. EURASIP J Adv Signal Processing. Published online 2016.

Peters EGW, Quevedo DE, Fu M. Controller and scheduler codesign for feedback control over IEEE 802.15.4 networks. Trans Contr Syst Technol. 2016;24(6):2016–2030.

Nagahara M, stergaard J, Quevedo DE. Discrete-time hands-off control by sparse optimization. EURASIP J Adv Signal Processing. 2016;76(1):1–8.

Ljesnjanin M, Nesi D, Quevedo DE. Robust stability of a class of Networked Control Systems. Automatica. 2016;73(6):117–124.

Leong AS, Quevedo DE. Kalman Filtering With Relays Over Wireless Fading Channels. Trans Automat Contr. 2016;61(6):1643–1648.

Chatterjee D, Nagahara M, Quevedo DE, Rao KSM. Characterization of maximum hands-off control. Syst &; Contr Lett. 2016;94:31–36.

Leong AS, Quevedo DE, Ahlén A, Johansson KH. On Network Topology Reconfiguration for Remote State Estimation.  Trans Automat Contr. 2016;61(12):3842–3856.

de Beaudrap N, Gharibian S. A Linear Time Algorithm for Quantum 2-SAT. In: Raz R, ed. Proceedings of the 31st Conference on Computational Complexity (CCC 2016). Vol 50. Leibniz International Proceedings in Informatics (LIPIcs). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik; 2016:27:1-17:21. doi:10.4230/LIPIcs.CCC.2016.27

Klüners J, Nicolae F. Are number fields determined by Artin L-functions? Journal of Number Theory. 2016;167:161-168. doi:10.1016/j.jnt.2016.03.023

Ali E, Hangmann C, Hedayat C, Haddad F, Rahajandraibe W, Hilleringmann U. Event Driven Modeling and Characterization of the Second Order Voltage Switched Charge Pump PLL. IEEE Transactions on Circuits and Systems I: Regular Papers. 2016;63(3):347-358. doi:10.1109/tcsi.2015.2512759

Vidor FF, Meyers T, Wirth GI, Hilleringmann U. Influence of Traps on the Characteristics of ZnO Nanoparticles Thin-Film Transistors. In: Micro-Nano-Integration; 6. GMM-Workshop. ; 2016:1-6.

Meyers T, Vidor FF, Kaijage SF, Hilleringmann U. Self-aligning integration technique for organic electronics. In: Micro-Nano-Integration; 6. GMM-Workshop. ; 2016:1-4.

Meyers T, Vidor FF, Brassat K, Lindner JKN, Hilleringmann U. Low-voltage DNTT-based thin-film transistors and inverters for flexible electronics. Microelectronic Engineering. 2016;174:35-39. doi:10.1016/j.mee.2016.12.018

Kleine A, Hilleringmann U. Microstructured Metal Layers in Dye Sensitized Solar Cells. In: Micro-Nano-Integration; 6. GMM-Workshop. ; 2016:1-6.

Vidor FF, Meyers T, Wirth GI, Hilleringmann U. ZnO nanoparticle thin-film transistors on flexible substrate using spray-coating technique. Microelectronic Engineering. 2016;159:155-158. doi:10.1016/j.mee.2016.02.059

Vidor F, Meyers T, Hilleringmann U. Inverter Circuits Using ZnO Nanoparticle Based Thin-Film Transistors for Flexible Electronic Applications. Nanomaterials. 2016;6(9). doi:10.3390/nano6090154

Kirschmer M, Lorch D. Ternary quadratic forms over number fields with small class number. Journal of Number Theory. 2016;161:343-361. doi:10.1016/j.jnt.2014.11.001

Romero A, Gonzalez J, Hilleringmann U, Gloesekoetter P. Organic Field-Effect and Nanoparticle Thin-Film Transistors: Static Model. In: ANALOG 2016; 15. ITG/GMM-Symposium. ; 2016:1-6.

Vidor FF, Meyers T, Hilleringmann U, Wirth GI. Influence of UV irradiation and humidity on a low-cost ZnO nanoparticle TFT for flexible electronics. In: 2015 IEEE 15th International Conference on Nanotechnology (IEEE-NANO). IEEE; 2016. doi:10.1109/nano.2015.7388836

Hangmann C, Mager T, Khan S, Hedayat C, Hilleringmann U. Improved rf design using precise 3d near-field measurements and near-field to far-field transformations. In: Smart System Integration-International Conference and Exhibition on Integration Issues of Miniaturized Systems. ; 2016.

Hett T, Krämmer S, Hilleringmann U, Kalt H, Zrenner A. High-Q whispering gallery microdisk resonators based on silicon oxynitride. Journal of Luminescence. 2016;191:131-134. doi:10.1016/j.jlumin.2016.11.016

Kirschmer M. Definite Quadratic and Hermitian Forms with Small Class Number (Habilitation).; 2016.

Burban I, Gnedin W. Cohen-Macaulay modules over some non-reduced curve singularities. Journal of Pure and Applied Algebra. 2016;220(12):3777–3815.

Schönherr J, Schukajlow S. Are mathematical problems boring? Boredom while solving problems with and without a connection to reality from students’ and pre-service teachers’ perspectives. In: Csíkos C, Rausch A, Szitányi J, eds. Proceedings of the 40th Conference of the International Group for the Psychology of Mathematics Education. Vol 4. PME; 2016:131–138.

Olfert S, Henning B. Erweiterung des Raman-Nath-Modells zur Analyse von Schlierenabbildungen. Technisches Messen. 2016;83(4):219-224. doi:10.1515/teme-2015-0116

Agne A, Platzner M, Plessl C, Happe M, Lübbers E. ReconOS. In: Koch D, Hannig F, Ziener D, eds. FPGAs for Software Programmers. Springer International Publishing; 2016:227-244. doi:10.1007/978-3-319-26408-0_13

Riebler H, Vaz GF, Plessl C, Trainiti EMG, Durelli GC, Bolchini C. Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. In: Proc. HiPEAC Workshop on Reonfigurable Computing (WRC). ; 2016.

Kenter T, Plessl C. Microdisk Cavity FDTD Simulation on FPGA using OpenCL. In: Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC). ; 2016.

Lass M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.

Riebler H, Vaz GF, Plessl C, et al. Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. In: Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI). IEEE; 2016:1-5. doi:10.1109/RTSI.2016.7740545

Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-aware Compute Nodes. In: Self-Aware Computing Systems. Natural Computing Series (NCS). Springer International Publishing; 2016:145-165. doi:10.1007/978-3-319-39675-0_8

Vaz GF, Riebler H, Kenter T, Plessl C. Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. Computers and Electrical Engineering. 2016;55:91-111. doi:10.1016/j.compeleceng.2016.04.021

Lösch A, Beisel T, Kenter T, Plessl C, Platzner M. Performance-centric scheduling with task migration for a heterogeneous compute node in the data center. In: Proceedings of the 2016 Design, Automation &; Test in Europe Conference &; Exhibition (DATE). EDA Consortium / IEEE; 2016:912-917.

Kenter T, Vaz GF, Riebler H, Plessl C. Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract). In: Workshop on Reconfigurable Computing (WRC). ; 2016.

Jonas-Ahrend G, Thikomirov D. Lehrerbildung im Mechatronik Studium an der Hochschule Hamm-Lippstadt. In: Vollmer T, Schwenger U, BAG Elektrometall e.V., eds. Digitale Vernetzung der Facharbeit. Vol 43. Berufsbildung, Arbeit und Innovation. W. Bertelsmann Verlag GmbH &; Co KG; 2016:225-235.

Blumenthal S, Bürger M, Hildebrandt A, et al. Fabrication and characterization of two-dimensional cubic AlN photonic crystal membranes containing zincblende GaN quantum dots. physica status solidi (c). 2016;13(5-6):292-296. doi:10.1002/pssc.201600010

Habernal I, Gurevych I. Argumentation Mining in User-Generated Web Discourse. Computational Linguistics. 2016;43(1):125-179. doi:10.1162/coli_a_00276

Habernal I, Sukhareva M, Raiber F, et al. New Collection Announcement. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM; 2016. doi:10.1145/2911451.2914682

Habernal I, Gurevych I. Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics; 2016. doi:10.18653/v1/p16-1150

Acar Y, Backes M, Bugiel S, Fahl S, McDaniel P, Smith M. SoK: Lessons Learned from Android Security Research for Appified Software Platforms. In: 2016 IEEE Symposium on Security and Privacy (SP). IEEE; 2016. doi:10.1109/sp.2016.33

Blot A, Hoos H, Jourdan L, Marmion M, Trautmann H. MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. In: et al. Joaquin V, ed. LION 2016: Learning and Intelligent Optimization. Vol 10079. LNTCS. Springer International Publishing; 2016:32–47. doi:10.1007/978-3-319-50349-3_3

Rudolph G, Schütze O, Trautmann H. On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. In: Squillero G, Burelli P, eds. Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II. Springer International Publishing; 2016:42–55. doi:10.1007/978-3-319-31153-1_4

Bossek J, Trautmann H. Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers. In: Festa P, Sellmann M, Vanschoren J, eds. Learning and Intelligent Optimization. Vol 10079. Lecture Notes in Computer Science. Springer International Publishing; 2016:48–59. doi:10.1007/978-3-319-50349-3_4

Bossek J, Trautmann H. Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. In: Adorni G, Cagnoni S, Gori M, Maratea M, eds. AI*IA 2016 Advances in Artificial Intelligence. Vol 10037. Lecture Notes in Computer Science. Springer; 2016:3–12. doi:10.1007/978-3-319-49130-1_1

Kerschke P, Wang H, Preuss M, et al. Towards Analyzing Multimodality of Multiobjective Landscapes. In: Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV). Lecture Notes in Computer Science. Springer; 2016:962–972. doi:10.1007/978-3-319-45823-6_90

Kerschke P, Preuss M, Wessing S, Trautmann H. Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. In: Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation. ; 2016:229–236. doi:10.1145/2908812.2908845

Rudolph G, Schütze O, Grimme C, Domínguez-Medina C, Trautmann H. Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Computational Optimization and Applications (Comput Optim Appl). 2016;64(2):589–618. doi:10.1007/s10589-015-9815-8

Schütze O, Sosa HV, Trautmann H, Rudolph G. The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems. Journal of Heuristics. 2016;22(3):273–300. doi:10.1007/s10732-016-9310-0

Kerschke P, Trautmann H. The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC). ; 2016. doi:10.1109/CEC.2016.7748359

Neumann F, Trautmann H. Working Group Report: Bridging the Gap Between Experiments and Theory Using Feature-Based Run-Time Analysis; Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211). Dagstuhl Reports. 2016;5(5):78–79. doi:10.4230/DagRep.5.5.57

Habernal I, Gurevych I. What makes a convincing argument? Empirical analysis and detecting            attributes of convincingness in Web argumentation. In: Proceedings of the 2016 Conference on Empirical Methods in Natural          Language Processing. Association for Computational Linguistics; 2016. doi:10.18653/v1/d16-1129

Schmalenstroeer J, Haeb-Umbach R. Investigations into Bluetooth Low Energy Localization Precision Limits. In: 24th European Signal Processing Conference (EUSIPCO 2016). ; 2016.

Acar Y, Backes M, Fahl S, Kim D, Mazurek ML, Stransky C. You Get Where You’re Looking for: The Impact of Information Sources on Code Security. In: 2016 IEEE Symposium on Security and Privacy (SP). IEEE; 2016. doi:10.1109/sp.2016.25

Dechand S, Schürmann D, Busse K, Acar Y, Fahl S, Smith M. An Empirical Study of Textual Key-Fingerprint Representations. In: Holz T, Savage S, eds. 25th USENIX Security Symposium, USENIX Security 16, Austin, TX, USA, August 10-12, 2016. USENIX Association; 2016:193–208.

Bossek J, Trautmann H. Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. In: Festa P, Sellmann M, Vanschoren J, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2016:48–59. doi:10.1007/978-3-319-50349-3_4

Hilgert J. Schwierigkeiten beim Übergang von Schule zu Hochschule im zeitlichen Vergleich - Ein Blick auf Defizite beim Erwerb von Schlüsselkompetenzen. In: Hoppenbrock A, et al., eds. Lehren und Lernen von Mathematik in der Studieneingangsphase. Springer Spektrum; 2016.

Hilgert J, Pasquale A, Przebinda T. Resonances for the Laplacian: the cases B and  (except SO(p,2) with p&;2 odd). In: Kielanowski P, et al., eds. Geometric Methods in Physics. Birkhäuser; 2016.

Hilgert J, ed. Mathematische Strukturen. Springer Spektrum; 2016.

Borgwardt S, Mailis T, Peñaloza R, Turhan A-Y. Answering Fuzzy Conjunctive Queries Over Finitely Valued Fuzzy Ontologies. Journal on Data Semantics. 2016;5(2):55-75. doi:10.1007/s13740-015-0055-y

Kovács B, Power Guerra CA. Higher order time discretizations with ALE finite elements for parabolic problems on evolving surfaces. IMA Journal of Numerical Analysis. 2016;38(1):460-494. doi:10.1093/imanum/drw074

Kovács B, Power Guerra CA. Error analysis for full discretizations of quasilinear parabolic problems on evolving surfaces. Numerical Methods for Partial Differential Equations. 2016;32(4):1200-1231. doi:10.1002/num.22047

Kovács B, Li B, Lubich C. A-Stable Time Discretizations Preserve Maximal Parabolic Regularity. SIAM Journal on Numerical Analysis. 2016;54(6):3600-3624. doi:10.1137/15m1040918

Kovács B, Lubich C. Numerical analysis of parabolic problems with dynamic boundary conditions. IMA Journal of Numerical Analysis. 2016;37(1):1-39. doi:10.1093/imanum/drw015

Karátson J, Kovács B. A Parallel Numerical Solution Approach for Nonlinear Parabolic Systems Arising in Air Pollution Transport Problems. In: Mathematical Problems in Meteorological Modelling. ; 2016:57–70.

Soleymani M, Maham B, Ashtiani F. Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11n-based WLAN. In: 2016 IEEE International Conference on Communications (ICC). IEEE; 2016. doi:10.1109/icc.2016.7511453

Werth G. Ziehen und Beweisen mit DGS - Welche Beweiskraft haben für Studierende die Erkenntnisse, die sie im Zugmodus gewinnen? In: Institut für Mathematik und Informatik der Pädagogischen Hochschule Heidelberg, ed. Beiträge zum Mathematikunterricht. WTM; 2016.

Wessel L, Wilhelm N. Zusammenhänge zwischen Sprachkompetenz und verstehensorientierter Leistung beim Umgang mit Brüchen. In: Institut für Mathematik und Informatik Heidelberg, ed. Beiträge zum Mathematikunterricht 2016. WTM-Verlag; 2016:1059-1062.

Wessel L, Prediger S, Schüler-Meyer A, Kuzu T. Is grade 7 too late to start with bilingual mathematics courses? An intervention study. In: TSG 32 at 13th International Congress on Mathematical Education, Hamburg, July 2016. ; 2016.

Janus R. Zwischen Katholizismus und Unkirchlichkeit. Pastorale Identitätskonstruktionen in der ostwestfälischen Diaspora am Beispiel des Pfarrers Theodor Holzhausen (1826-1900). Vol 6. LIT-Verlag; 2016.

Jakobs M-C. Speed Up Configurable Certificate Validation by Certificate Reduction and Partitioning. In: Proceedings of the 13th International Conference on Software Engineering and Formal Methods (SEFM). LNCS. ; 2015:159--174. doi:10.1007/978-3-319-22969-0_12

Jungmann A, Jatzkowski J, Kleinjohann B. Combining Service-oriented Computing with Embedded Systems - A Robotics Case Study. In: Proceedings of the 5th IFIP International Embedded Systems Symposium (IESS). Springer-Verlag; 2015.

Jatzkowski J, Kreutz ME, Rettberg A. Hierarchical Multicore-Scheduling for Virtualization of Dependent Real-Time Systems. In: Proceedings of the 5th IFIP International Embedded Systems Symposium (IESS). Springer; 2015.

Stahl K, Stöcklein J, Li S. Evaluation of Autonomous Approaches using Virtual Environments. In: Shumaker R, Lackey S, eds. Virtual, Augmented and Mixed Reality VAMR 2015 Held as Part of HCI International 2015. Vol 9179. LNCS. Springer International Publishing Switzerland; 2015:499-512.

Jungmann A. On Adaptivity for Automated Composition of Service Functionality. In: Proceedings of the IEEE 11th World Congress on Services (SERVICES). IEEE Computer Society; 2015:329-332.

Mohr F, Jungmann A, Kleine Büning H. Automated Online Service Composition. In: Proceedings of the 12th IEEE International Conference on Services Computing (SCC).  IEEE Computer Society; 2015:57-64.

Jatzkowski J, Kreutz ME, Rettberg A. Towards Hierarchical Scheduling of Dependent Systems with Hypervisor-based Virtualization. In: Proceedings of Electronic System Level Synthesis Conference (ESLsyn). ; 2015.

Jatzkowski J, Kleinjohann B. Self-Reconfiguration of Real-Time Communication within Cyber-Physical Systems. In: Mechatronics. Elsevier; 2015.

Pfannschmidt K. Solving the Aggregated Bandits Problem. Universität Paderborn; 2015.

Jungmann A, Mohr F. An approach towards adaptive service composition in markets of composed services. Journal of Internet Services and Applications 6(1). Published online 2015:1-18.

Rammig F-J, Stahl K. Online behavior classification for anomaly detection in self-x real-time systems. Concurrency and Computation: Practice and Experience . Published online 2015.

Sudhakar K, Zhao Y, Rammig F-J. Efficient Integration of Online Model Checking into a Small-Footprint Real-Time Operating System. Concurrency and Computation: Practice and Experience . Published online 2015.

Joy M tech. MM, Rammig F-J. A hybrid methodology to detect memory leaks in soft real time embedded systems software. Int J of Embedded Systems. Published online 2015.

Khaluf Y, Birattari M, Rammig F-J. Analysis of long-term swarm performance based on short-term experiments. Springer Jounal Soft Computing . Published online 2015.

Dräxler M, Blobel J, Dreimann P, Valentin S, Karl H. SmarterPhones: Anticipatory Download Scheduling for Wireless Video Streaming. In: Proceedings of the 2nd International Conference on Networked Systems (NetSys). ; 2015:1--8. doi:10.1109/NetSys.2015.7089073

Blömer J, Juhnke J, Löken N. Short Group Signatures with Distributed Traceability. In: Proceedings of the Sixth International Conference on Mathematical Aspects of Computer and Information Sciences (MACIS). LNCS. ; 2015:166-180. doi:10.1007/978-3-319-32859-1_14

Wahby M, Hamann H. On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking. In: Applications of Evolutionary Computation (EvoApplications 2015). ; 2015. doi:10.1007/978-3-319-16549-3_61

Hamann H, Wahby M, Schmickl T, et al. Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids. In: Proceedings of the 2015 IEEE Symposium on Artificial Life (IEEE ALIFE’15). ; 2015. doi:10.1109/ssci.2015.158

Hamann H. Lessons from Speciation Dynamics: How to Generate Selective Pressure Towards Diversity. Artificial Life. 2015:464-480. doi:10.1162/artl_a_00186

Wahby M, Weinhold A, Hamann H. Revisiting BEECLUST: Aggregation of Swarm Robots with Adaptiveness to Different Light Settings. In: Proceedings of the 9th EAI International Conference on Bio-Inspired Information and Communications Technologies (Formerly BIONETICS). ; 2015. doi:10.4108/eai.3-12-2015.2262877

Wahby M, Divband Soorati M, von Mammen S, Hamann H. Evolution of Controllers for Robot-Plant Bio-Hybdrids: A Simple Case Study Using a Model of Plant Growth and Motion. In: Proceedings. 25. Computational Intelligence Workshop. ; 2015.

Hamann H, Divband Soorati M. The Effect of Fitness Function Design on Performance in Evolutionary Robotics: The Influence of a Priori Knowledge. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015). ACM; 2015:153-160. doi:10.1145/2739480.2754676

Hamann H, Schmickl T, Zahadat P. Evolving Collective Behaviors With Diverse But Predictable Sensor States. In: 13th European Conference on Artificial Life (ECAL 2015). MIT Press; 2015:174. doi:10.7551/978-0-262-33027-5-ch036

Hamann H, Correll N, Kacprzyk J, Pedrycz W. Probabilistic Modeling of Swarming Systems. In: Springer Handbook of Computational Intelligence. Springer; 2015:1423-1431. doi:10.1007/978-3-662-43505-2_74