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J. Anwer and M. Platzner, “Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs,” in IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2014, pp. 177–184.
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H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, M. Yazdani, and G. De Micheli, “Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection,” in 2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2014, pp. 163–168.
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M. Trier and A. Richter, “The deep structure of organizational online networking - an actor-oriented case study,” Information Systems Journal, pp. 465–488, 2014.
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A. Chinaev, M. Puels, and R. Haeb-Umbach, “Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR,” in 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
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L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models,” in 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.
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L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models,” in 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.
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J. Heymann, O. Walter, R. Haeb-Umbach, and B. Raj, “Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices,” in 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.
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F. Jacob and R. Haeb-Umbach, “Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking,” in 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
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V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 1, pp. 95–109, 2014.
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J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust Automatic Speech Recognition,” IEEE Transactions on Audio, Speech and Language Processing, vol. 22, no. 4, pp. 745–777, 2014.
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O. Walter, V. Despotovic, R. Haeb-Umbach, J. Gemmeke, B. Ons, and H. Van hamme, “An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface,” in INTERSPEECH 2014, 2014.
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M. Berger, F. Erlacher, C. Sommer, and F. Dressler, “Adaptive load allocation for combining Anomaly Detectors using controlled skips,” in 2014 International Conference on Computing, Networking and Communications (ICNC), 2014.
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B. Bloessl, M. Segata, C. Sommer, and F. Dressler, “Towards an Open Source IEEE 802.11p stack: A full SDR-based transceiver in GNU Radio,” in 2013 IEEE Vehicular Networking Conference, 2014.
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B. Bloessl, A. Puschmann, C. Sommer, and F. Dressler, “Timings matter,” in Proceedings of the 9th ACM international workshop on Wireless network testbeds, experimental evaluation and characterization - WiNTECH ’14, 2014.
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F. Dressler, P. Handle, and C. Sommer, “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.
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J. Eckert, C. Sommer, and D. Eckhoff, “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.
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D. Eckhoff, F. Dressler, and C. Sommer, “SmartRevoc: An efficient and privacy preserving revocation system using parked vehicles,” in 38th Annual IEEE Conference on Local Computer Networks, 2014.
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D. Eckhoff and C. Sommer, “Driving for Big Data? Privacy Concerns in Vehicular Networking,” IEEE Security &; Privacy, pp. 77–79, 2014.
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F. Erlacher, F. Klingler, C. Sommer, and F. Dressler, “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.
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F. Malandrino, C. Casetti, C.-F. Chiasserini, C. Sommer, and F. Dressler, “The Role of Parked Cars in Content Downloading for Vehicular Networks,” IEEE Transactions on Vehicular Technology, pp. 4606–4617, 2014.
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M. Segata, B. Bloessl, S. Joerer, C. Sommer, R. Lo Cigno, and F. Dressler, “Short paper: Vehicle shadowing distribution depends on vehicle type: Results of an experimental study,” in 2013 IEEE Vehicular Networking Conference, 2014.
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M. Segata, B. Bloessl, C. Sommer, and F. Dressler, “Towards energy efficient smart phone applications: Energy models for offloading tasks into the cloud,” in 2014 IEEE International Conference on Communications (ICC), 2014.
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C. Sommer, F. Hagenauer, and F. Dressler, “A networking perspective on self-organizing intersection management,” in 2014 IEEE World Forum on Internet of Things (WF-IoT), 2014.
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L.-C. Tung, J. Mena, M. Gerla, and C. Sommer, “A cluster based architecture for intersection collision avoidance using heterogeneous networks,” in 2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), 2014.
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S. Hellebrand, T. Indlekofer, M. Kampmann, M. A. Kochte, C. Liu, and H.-J. Wunderlich, “FAST-BIST: Faster-than-at-Speed BIST Targeting Hidden Delay Defects,” in IEEE International Test Conference (ITC’14), 2014.
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T. Busjahn, R. Bednarik, and C. Schulte, “What influences dwell time during source code reading?: analysis of element type and frequency as factors,” in ETRA, 2014, pp. 335–338.
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T. Busjahn et al., “Eye tracking in computing education,” in ICER, 2014, pp. 3–10.
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T. Busjahn, C. Schulte, and E. Kropp, “Developing Coding Schemes for Program Comprehension using Eye Movements,” in PPIG, 2014, p. 15.
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C. Schulte, M. E. Caspersen, and J. Gal-Ezer, Eds., Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014. ACM, 2014.
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H. Riesen, C. Wiebeler, and S. Schumacher, “Optical Spectroscopy of Graphene Quantum Dots: The Case of 2,” The Journal of Physical Chemistry A, pp. 5189–5195, 2014.
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C. Wiebeler and S. Schumacher, “Quantum Yields and Reaction Times of Photochromic Diarylethenes: Nonadiabatic Ab Initio Molecular Dynamics for Normal- and Inverse-Type,” The Journal of Physical Chemistry A, pp. 7816–7823, 2014.
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P. Lewandowski et al., “Formation and control of transverse patterns in a quantum fluid of microcavity polaritons,” in Ultrafast Phenomena and Nanophotonics XVIII, 2014.
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C. Meyer, J. Somorovsky, E. Weiss, J. Schwenk, S. Schinzel, and E. Tews, “Revisiting SSL/TLS Implementations: New Bleichenbacher Side Channels and Attacks,” in 23rd USENIX Security Symposium (USENIX Security 14), 2014, pp. 733–748.
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M.-H. Chen, W.-F. Chen, and L.-W.  Ku, “RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions,” in Proceedings of the AsiaCALL 2014, 2014.
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A. Maßbaum and C. Sureth-Sloane, “Thin Capitalization Rules and Entrepreneurial Capital Structure Decisions,” Business Research, vol. 2, no. 2, pp. 147–169, 2014.
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S. Böttcher, R. Hartel, and S. Thiele, “Difference Computation for Grammar-Compressed XML Data,” in Proceedings of the Second Australasian Web Conference, 2014, pp. 3–12.
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S. Böttcher, M. Brandenburg, and R. Hartel, “Keyword Search on DAG-Compressed XML Data,” in Proceedings of the Second Australasian Web Conference, 2014, pp. 13–20.
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S. Böttcher, R. Hartel, and J. Rabe, “Efficient XML Keyword Search Based on DAG-Compression,” in Database and Expert Systems Applications - 25th International Conference, DEXA 2014, 2014, pp. 122–137.
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T. Niendorf et al., “Functionally Graded Alloys Obtained by Additive Manufacturing,” Advanced Engineering Materials, pp. 857–861, 2014.
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A. Riemer, S. Leuders, M. Thöne, H. A. Richard, T. Tröster, and T. Niendorf, “On the fatigue crack growth behavior in 316L stainless steel manufactured by selective laser melting,” Engineering Fracture Mechanics, pp. 15–25, 2014.
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M. Agarwal, A. Fallah Tehrani, and E. Hüllermeier, “Preference-based learning of ideal solutions in TOPSIS-like decision models,” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 3–4, 2014.
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T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended graph-based models for enhanced similarity search in Cabase,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 11, no. 5, pp. 878–890, 2014.
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E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” International Journal of Approximate Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.
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S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy-rule-based systems,” Evolving Systems, vol. 5, pp. 175–191, 2014.
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R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.
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G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
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M. Strickert, K. Bunte, F. M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014.
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A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing temporal events in dynamically changing environments,” International Journal of Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.
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R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014.
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