Ghasemzadeh Mohammadi H, Gaillardon P-E, Yazdani M, De Micheli G. Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection. In: 2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH). IEEE; 2014:163-168. doi:10.1109/NANOARCH.2014.6880479

Berger M, Erlacher F, Sommer C, Dressler F. Adaptive load allocation for combining Anomaly Detectors using controlled skips. In: 2014 International Conference on Computing, Networking and Communications (ICNC). ; 2014. doi:10.1109/iccnc.2014.6785438

Bloessl B, Segata M, Sommer C, Dressler F. Towards an Open Source IEEE 802.11p stack: A full SDR-based transceiver in GNU Radio. In: 2013 IEEE Vehicular Networking Conference. ; 2014. doi:10.1109/vnc.2013.6737601

Bloessl B, Puschmann A, Sommer C, Dressler F. Timings matter. In: Proceedings of the 9th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization - WiNTECH ’14. ; 2014. doi:10.1145/2643230.2643240

Dressler F, Handle P, Sommer C. Towards a vehicular cloud - using parked vehicles as a temporary network and storage infrastructure. In: Proceedings of the 2014 ACM International Workshop on Wireless and Mobile Technologies for Smart Cities - WiMobCity ’14. ; 2014. doi:10.1145/2633661.2633671

Eckert J, Sommer C, Eckhoff D. Towards a simulation framework for paraglider networks. In: Proceedings of the 11th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, &; Ubiquitous Networks - PE-WASUN ’14. ; 2014. doi:10.1145/2653481.2655754

Eckhoff D, Dressler F, Sommer C. SmartRevoc: An efficient and privacy preserving revocation system using parked vehicles. In: 38th Annual IEEE Conference on Local Computer Networks. ; 2014. doi:10.1109/lcn.2013.6761338

Eckhoff D, Sommer C. Driving for Big Data? Privacy Concerns in Vehicular Networking. IEEE Security &; Privacy. 2014:77-79. doi:10.1109/msp.2014.2

Erlacher F, Klingler F, Sommer C, Dressler F. On the impact of street width on 5.9 GHz radio signal propagation in vehicular networks. In: 2014 11th Annual Conference on Wireless On-Demand Network Systems and Services (WONS). ; 2014. doi:10.1109/wons.2014.6814735

Malandrino F, Casetti C, Chiasserini C-F, Sommer C, Dressler F. The Role of Parked Cars in Content Downloading for Vehicular Networks. IEEE Transactions on Vehicular Technology. 2014:4606-4617. doi:10.1109/tvt.2014.2316645

Segata M, Bloessl B, Joerer S, Sommer C, Lo Cigno R, Dressler F. Short paper: Vehicle shadowing distribution depends on vehicle type: Results of an experimental study. In: 2013 IEEE Vehicular Networking Conference. ; 2014. doi:10.1109/vnc.2013.6737623

Segata M, Bloessl B, Sommer C, Dressler F. Towards energy efficient smart phone applications: Energy models for offloading tasks into the cloud. In: 2014 IEEE International Conference on Communications (ICC). ; 2014. doi:10.1109/icc.2014.6883681

Sommer C, Hagenauer F, Dressler F. A networking perspective on self-organizing intersection management. In: 2014 IEEE World Forum on Internet of Things (WF-IoT). ; 2014. doi:10.1109/wf-iot.2014.6803164

Tung L-C, Mena J, Gerla M, Sommer C. A cluster based architecture for intersection collision avoidance using heterogeneous networks. In: 2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET). ; 2014. doi:10.1109/medhocnet.2013.6767414

Busjahn T, Bednarik R, Schulte C. What influences dwell time during source code reading?: analysis of element type and frequency as factors. In: ETRA. ACM; 2014:335-338.

Busjahn T, Schulte C, Sharif B, et al. Eye tracking in computing education. In: ICER. ACM; 2014:3-10.

Busjahn T, Schulte C, Kropp E. Developing Coding Schemes for Program Comprehension using Eye Movements. In: PPIG. Psychology of Programming Interest Group; 2014:15.

Schulte C, E. Caspersen M, Gal-Ezer J, eds. Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014. ACM; 2014.

Chen M-H, Chen W-F,  Ku L-W. RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions. In: Proceedings of the AsiaCALL 2014. ; 2014.

Böttcher S, Hartel R, Thiele S. Difference Computation for Grammar-Compressed XML Data. In: Proceedings of the Second Australasian Web Conference. Australian Computer Society, Inc.; 2014:3-12.

Böttcher S, Brandenburg M, Hartel R. Keyword Search on DAG-Compressed XML Data. In: Proceedings of the Second Australasian Web Conference. Australian Computer Society, Inc.; 2014:13-20.

Böttcher S, Hartel R, Rabe J. Efficient XML Keyword Search Based on DAG-Compression. In: Database and Expert Systems Applications - 25th International Conference, DEXA 2014. Cham: Springer; 2014:122-137. doi:10.1007/978-3-319-10073-9_11

Agarwal M, Fallah Tehrani A, Hüllermeier E. Preference-based learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision Analysis. 2014;22(3-4).

Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended graph-based models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2014;11(5):878-890.

Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning. 2014;55(7):1519-1534.

Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy-rule-based systems. Evolving Systems. 2014;5:175-191.

Busa-Fekete R, Szörenyi B, Weng P, Cheng W, Hüllermeier E. Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.

Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.

Strickert M, Bunte K, Schleif FM, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109.

Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science. 2014;24(1):199-212.

Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.

Donner-Banzhoff N, Haasenritter J, Hüllermeier E, Viniol A, Bösner S, Becker A. The comprehensive diagnostic study is suggested as a design to model the diagnostic process. Journal of Clinical Epidemiology. 2014;2(67):124-132.

Lukovszki T, Meyer auf der Heide F. Fast Collisionless Pattern Formation by Anonymous, Position-Aware Robots. In: Lecture Notes in Computer Science. Cham; 2014. doi:10.1007/978-3-319-14472-6_17

Abshoff S, Meyer auf der Heide F. Continuous Aggregation in Dynamic Ad-Hoc Networks. In: Structural Information and Communication Complexity. Cham; 2014. doi:10.1007/978-3-319-09620-9_16

Graf T, Platzner M. Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go. In: 2014 IEEE Conference on Computational Intelligence and Games. ; 2014:1-8. doi:10.1109/CIG.2014.6932863

Busa-Fekete R, Szörényi B, Hüllermeier E. PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In: Proceedings AAAI 2014, Quebec, Canada. ; 2014:1701-1707.

Busa-Fekete R, Hüllermeier E. A Survey of Preference-Based Online Learning with Bandit Algorithms. In: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia. ; 2014:18-39.

Henzgen S, Hüllermeier E. Mining Rank Data. In: Proceedings Discovery Science, Bled,Slovenia . ; 2014:123-134.

Fallah Tehrani A, Strickert M, Hüllermeier E. The Choquet kernel for monotone data. In: Proceedings ESANN , Bruges, Belgium. ; 2014.

Abdel-Aziz A, Strickert M, Hüllermeier E. Learning Solution Similarity in Preference-Based CBR. In: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland. ; 2014:17-31.

Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany. ; 2014:32-33.

Calders T, Esposito F, Hüllermeier E, Meo R. Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In: Proceedings, Parts I-III. Lecture Notes in Computer Science. Springer; 2014:8724-8726.

Fürnkranz J, Hüllermeier E, Rudin C, Slowinski R, Sanner S. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports. In: Vol 4. ; 2014:1-27.

Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science. 2014;24(1):199-212.

Hoffmann F, Hüllermeier E, Kroll A. Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik. 2014;62(10):685-686.

Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min Knowledge Discovery. 2014;28(5-6):1129-1133.

Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy rule-based systems. Evolving Systems. 2014;5(3):175-191.

Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1519-1534.

Hüllermeier E. Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1609-1613.

Strickert M, Bunte K, Schleif F-M, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109.

Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.

Mernberger M, Moog M, Stork S, Zauner S, Maier UG, Hüllermeier E. Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J Bioinformatics and Computational Biology. 2014;12(1).

Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning. 2014;97(1-2):1-3.

Busa-Fekete R, Szörényi B, Weng P, Cheng W, Hüllermeier E. Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.

Montanés E, Senge R, Barranquero J, Quevedo JR, Del Coz JJ, Hüllermeier E. Dependent binary relevance models for multi-label classification. Pattern Recognition. 2014;47(3):1494-1508.

Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.

Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(5):878-890.

Stock M, Fober T, Hüllermeier E, et al. Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(6):1157-1169.

Beister F, Dräxler M, Aelken J, Karl H. Power model design for ICT systems – A generic approach. Computer Communications. 2014;50:77-85. doi:10.1016/j.comcom.2014.02.007

Gharibian S, Kempe J. Hardness of approximation for quantum problems. Quantum Information &; Computation. 2014;14(5-6):517-540.

W. Berry D, Cleve R, Gharibian S. Gate-efficient discrete simulations of continuous-time quantum query algorithms. Quantum Information &; Computation. 2014;14(1-2):1-30.

Platzner M, Plessl C. Verschiebungen an der Grenze zwischen Hardware und Software. In: Künsemöller J, Eke NO, Foit L, Kaerlein T, eds. Logiken strukturbildender Prozesse: Automatismen. Schriftenreihe des Graduiertenkollegs “Automatismen.” Wilhelm Fink; 2014:123-144.

Kenter T, Vaz GF, Plessl C. Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer. In: Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC). Vol 8405. Lecture Notes in Computer Science (LNCS). Springer International Publishing; 2014:144-155. doi:10.1007/978-3-319-05960-0_13

Agne A, Hangmann H, Happe M, Platzner M, Plessl C. Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators. Microprocessors and Microsystems. 2014;38(8, Part B):911-919. doi:10.1016/j.micpro.2013.12.001

Riebler H, Kenter T, Plessl C, Sorge C. Reconstructing AES Key Schedules from Decayed Memory with FPGAs. In: Proceedings of Field-Programmable Custom Computing Machines (FCCM). IEEE; 2014:222-229. doi:10.1109/FCCM.2014.67

Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-awareness as a Model for Designing and Operating Heterogeneous Multicores. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2014;7(2). doi:10.1145/2617596

Agne A, Happe M, Keller A, et al. ReconOS - An Operating System Approach for Reconfigurable Computing. IEEE Micro. 2014;34(1):60-71. doi:10.1109/MM.2013.110

C. Durelli G, Pogliani M, Miele A, et al. Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach. In: Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA). IEEE; 2014:142-149. doi:10.1109/ISPA.2014.27

Vaz GF, Riebler H, Kenter T, Plessl C. Deferring Accelerator Offloading Decisions to Application Runtime. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032509

Kenter T, Schmitz H, Plessl C. Kernel-Centric Acceleration of High Accuracy Stereo-Matching. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032535

C. Durelli G, Copolla M, Djafarian K, et al. SAVE: Towards efficient resource management in heterogeneous system architectures. In: Proc. Int. Conf. on Reconfigurable Computing: Architectures, Tools and Applications (ARC). Springer; 2014. doi:10.1007/978-3-319-05960-0_38

Giefers H, Plessl C, Förstner J. Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers. ACM SIGARCH Computer Architecture News. 2014;41(5):65-70. doi:10.1145/2641361.2641372

Kerschke P, Preuss M, Hernández C, et al. Cell Mapping Techniques for Exploratory Landscape Analysis. In: Tantar A-A, Tantar E, Sun J-Q, et al., eds. EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V. Vol 288. Advances in Intelligent Systems and Computing. Springer International Publishing; 2014:115–131. doi:10.1007/978-3-319-07494-8_9

Rudolph G, Schütze O, Grimme C, Trautmann H. A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets. In: Tantar A, Tantar E, Sun J, et al., eds. EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V. Vol 288. Advances in Intelligent Systems and Computing. Springer International Publishing; 2014:261–273. doi:10.1007/978-3-319-07494-8_18

Rudolph G, Grimme C, Schütze O, Trautmann H. An Aspiration Set EMOA Based on Averaged Hausdorff Distances. In: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8). Vol 8426. Lecture Notes in Computer Science. Springer; 2014:153–156.

Wessing S, Preuss M, Trautmann H. Stopping Criteria for Multimodal Optimization. In: Bartz-Beielstein T, Branke J, Filipic B, Smith J, eds. Proceedings of the Parallel Problem Solving from Nature — PPSN XIII. Vol 8672. Lecture Notes in Computer Science. Springer; 2014:141–150. doi:10.1007/978-3-319-10762-2_14

Fahl S, Acar Y, Perl H, Smith M. Why eve and mallory (also) love webmasters. In: Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security. ACM; 2014. doi:10.1145/2590296.2590341

Becker M, Müller W, Stroop J, Kiffmeier U. HeroeS - A Framework for Heterogeneous Software-Intensive System Design with SystemC. Design, Automation and Test in Europe DATE, University Booth, Dresden. Published online 2014.

Khaluf Y, Birattari M, Rammig F-J. Probabilistic Analysis of Long-term Swarm Performance under Spatial Interferences. In: Theory and Practice of Natural Computing, Nr. 8273, 2nd International Conference on the Theory and Practice of Natural Computing, TPNC 2013. Vol 8273. Theory and Practice of Natural Computing, Nr. 8273. Springer; 2013.

Joy M tech. MM, Müller W, Rammig F-J. Early Phase Memory Leak Detection in Embedded Software Designs with Virtual Memory Management Model. In: Proceedings of AVICPS 2013, Dez. 2013 IEEE Computer Society,. Linköping University Electronic Press; 2013.

He D, Müller W. AN ENERGY-EFFICIENT HEURISTIC FOR HARD REAL- TIME SYSTEM ON MULTI-CORE PROCESSORS. In: Proceedings of International Conference on Applied Computing (AC). ; 2013.

Wehrmeister MA, Pereira CE, Rammig F-J. Aspect-Oriented Model-Driven Engineering for Embedded Systems Applied to Automation Systems. In:  IEEE Trans. on Industrial Informatics Vol. 9 (No. 4). ; 2013:2373-2386.

Khaluf Y, Rammig F-J. Task Allocation Strategy for Time-Constrained Tasks in Robots Swarms. In: ECAL 2013, 12th European Conference on Artificial Life. ; 2013.

Farshizadeh E, Briese H, Steinmann D, et al. Simulationsgestützter Entwurf für Elektrofahrzeuge. In: 8. Dortmunder Autotag, Sep. 2013. ; 2013.

Mischkalla F, Müller W.  Efficient Power Intent Validation Using Loosely-Timed Simulation Models. In:  23rd International Workshop on Power And Timing Modeling, Optimization and Simulation, Sep. 2013. ; 2013.

Jungmann A, Kleinjohann B. Learning Recommendation System for Automated Service Composition. In: Proceedings of the 10th IEEE International Conference on Services Computing (SCC).  IEEE Computer Society; 2013:97-104.

Gilles K, Grösbrink S, Baldin D, Kerstan T. Proteus Hypervisor: Full Virtualization and Paravirtualization for Multi-Core Embedded Systems. In: International Embedded Systems Symposium, 17. - 19. Jun. 2013. ; 2013.

Grösbrink S. On the Homogeneous Multiprocessor Virtual Machine Partitioning Problem. In:  International Embedded Systems Symposium, 17. - 19. Jun. 2013. ; 2013.

Rammig F-J, Khaluf L, Montealegre N, Stahl K, Zhao Y. Organic Real-time Programming – Vision and Approaches towards Self-Evolving and Adaptive Real-time Software. In: Proc. 9th Workshop on Software Technologies for Future Embedded and Ubiquitous Systems (SEUS) 2013. IEEE; 2013.

Becker M, Kiffmeier U, Müller W. HeroeS: Virtual Platform Driven Integration of Heterogeneous Software Components for Multi-Core Real-Time Architectures. In: 16th IEEE Computer Society Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing. ; 2013.

Rammig F-J, Stahl K, Vaz GF. A Framework for Enhancing Dependability in Self-x Systems by Artificial Immune Systems. In: Proc. 4th IEEE Workshop on Self-Organizing Real-Time Systems (SORT) 2013. IEEE; 2013.

Rasche C, Ziegert S. Multilevel Planning for Self-Optimizing Mechatronic Systems. In: Proceedings of The Fifth International Conference on Adaptive and Self-Adaptive Systems and Applications. ThinkMind; 2013:6.

Stahl K. AIS-based Anomaly Detection for Self-X Systems. In: Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC’13). Reports / Technische Berichte - Herausgeber: Fakultät für Angewandte Informatik der Universität Augsburg; 2013:24-26.

Grösbrink S, Rammig F-J. Safe Self-Evolving Embedded Software via System Virtualization. In: 3rd SBC Workshop on Autonomic Distributed Systems - WoSiDA 2013. SBC; 2013.

Grösbrink S, Almeida L, de Sousa M, Petters SM. Fair Bandwidth Sharing among Virtual Machines in a Multi-criticality Scope. In: 5th Workshop on Adaptive and Reconfigurable Embedded Systems (CPSWeek 2013). ; 2013.

Qanadilo M, Samara S, Zhao Y. Accelerating Online Model Checking. In: 6’th Latin-American Symposium on Dependable Computing (LADC 2013). ; 2013.

Stern C, Rasche C, Kleinjohann L, Kleinjohann B. Bildangereicherte Kartenerstellung zur Unterstützung bei Rettungseinsätzen. In: 11. Paderborner Workshop Augmented &; Virtual Reality in der Produktentstehung. Vol 311. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, Nr. 311; 2013.

Rasche C, Bieshaar M, Jungmann A, Kleinjohann L, Kleinjohann B. Statistisches Planen in einem realen Roboterszenario. In: Entwurf mechatronischer Systeme, Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, Band 310. Vol 310. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn; 2013:133-146.

Grösbrink S, Baldin D, Oberthür S. Architecture for Adaptive Resource Assignment to Virtualized Mixed-Criticality Real-Time Systems. In: ACM SIGBED Review, Band 10. ACM; 2013.

Kuznik C, F. S. Oliveira M, Müller W. SystemC Verification Components - An enhanced OVM/UVM for SystemC. In: EdaWorkshop 13. ; 2013.