Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing. 2014;22(4):745-777. doi:10.1109/TASLP.2014.2304637

Walter O, Despotovic V, Haeb-Umbach R, Gemmeke J, Ons B, Van hamme H. An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface. In: INTERSPEECH 2014. ; 2014.

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

Hellebrand S, Indlekofer T, Kampmann M, A. Kochte M, Liu C, Wunderlich H-J. FAST-BIST: Faster-than-at-Speed BIST Targeting Hidden Delay Defects. In: IEEE International Test Conference (ITC’14). Seattle, Washington, USA: IEEE; 2014. doi:10.1109/test.2014.7035360

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

Bause F, Schroder A, Rautenberg J, Henning B, Gravenkamp H. Time-causal material modeling in the simulation of guided waves in circular viscoelastic waveguides. In: 2014 IEEE International Ultrasonics Symposium. ; 2014. doi:10.1109/ultsym.2014.0333

Bause F, Weber D, Rautenberg J, Henning B. Unsicherheitsanalyse eines Vorwärtsmodells zur Simulation transienter Wellenausbreitung im Hohlzylinder. In: Berlin: VDE Verlag; 2014.

Bause F, Brückner C, Miedl J, Henning B. Model based sensitivity analysis of Leaky-Lamb wave propagation to the variation of viscous lubricant properties. In: Gesellschaft im VDE I, ed. Beiträge Der 17. ITG/GMA-Fachtagung. ITG-Fachbericht. Berlin: VDE Verlag; 2014.

Hoof C, Appelhans S, Henning B. Modellgestützte Analyse des Trocknungsverhaltens von Dispersionslacken aus Daten einer NIR-Multidetektoranordnung. In: ; 2014.

Unverzagt C, Henning B. Sensitivitätssteigerung im Rahmen eines inversen Ansatzes zur Materialparameterbestimmung für Piezokeramiken durch Elektrodenmodifikationen. In: ; 2014:95-102.

Gravenkamp H, Bause F, Chongmin S. On the computation of dispersion curves for axisymmetric elastic waveguides using the Scaled Boundary Finite Element Method. Computers and Structures. 2014;131:46-55.

Hellebrand S, Wunderlich H-J. SAT-Based ATPG beyond Stuck-at Fault Testing. DeGruyter Journal on Information Technology (it). 2014;56(4):165-172.

Rodriguez Gomez L, Cook A, Indlekofer T, Hellebrand S, Wunderlich H-J. Adaptive Bayesian Diagnosis of Intermittent Faults. Journal of Electronic Testing - Theory and Applications (JETTA). 2014;30(5):527-540.

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

Bause F, Webersen M, Rautenberg J, Henning B. Modeling and Inverse Identification of a High Bandwidth Ultrasonic Measurement Setup Based on Piezoelectric 1-3 Composites.; 2014.

Bause F, Webersen M, Rautenberg J, Henning B. Modellbasierte inverse Identifikation von Ultraschall-Transducern anhand der elektrischen Eingangsimpendanz.; 2014.

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.