I. Esparcia-Alc\rquote azar, Anna, et al. Applications of Evolutionary Computation - 17th European Conference, EvoApplications. Vol. 8602, Springer, 2014.

Anwer, Jahanzeb, and Marco Platzner. “Analytic Reliability Evaluation for Fault-Tolerant Circuit Structures on FPGAs.”10.1109/DFT.2014.6962108__IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), IEEE, 2014, pp. 177–84, doi:10.1109/DFT.2014.6962108.

Ghasemzadeh Mohammadi, Hassan, et al. “Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection.”10.1109/NANOARCH.2014.6880479__2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), IEEE, 2014, pp. 163–68, doi:10.1109/NANOARCH.2014.6880479.

Trier, Matthias, and Alexander Richter. “The Deep Structure of Organizational Online Networking - an Actor-Oriented Case Study.”10.1111/isj.12047__Information Systems Journal, 2014, pp. 465–88, doi:10.1111/isj.12047.

Chinaev, Aleksej, et al. “Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR.” 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.

Drude, Lukas, et al. “Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models.” 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.

Drude, Lukas, et al. “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models.” 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–17.

Heymann, Jahn, et al. “Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices.” 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.

Jacob, Florian, and Reinhold Haeb-Umbach. “Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking.” 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.

Leutnant, Volker, et al. “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech.”10.1109/TASLP.2013.2285480__IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 1, 2014, pp. 95–109, doi:10.1109/TASLP.2013.2285480.

Li, Jinyu, et al. “An Overview of Noise-Robust Automatic Speech Recognition.”10.1109/TASLP.2014.2304637__IEEE Transactions on Audio, Speech and Language Processing, vol. 22, no. 4, 2014, pp. 745–77, doi:10.1109/TASLP.2014.2304637.

Walter, Oliver, et al. “An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface.” INTERSPEECH 2014, 2014.

Berger, Mario, et al. “Adaptive Load Allocation for Combining Anomaly Detectors Using Controlled Skips.”10.1109/iccnc.2014.6785438__2014 International Conference on Computing, Networking and Communications (ICNC), 2014, doi:10.1109/iccnc.2014.6785438.

Bloessl, Bastian, et al. “Towards an Open Source IEEE 802.11p Stack: A Full SDR-Based Transceiver in GNU Radio.”10.1109/vnc.2013.6737601__2013 IEEE Vehicular Networking Conference, 2014, doi:10.1109/vnc.2013.6737601.

Bloessl, Bastian, et al. “Timings Matter.”10.1145/2643230.2643240__Proceedings of the 9th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization - WiNTECH ’14, 2014, doi:10.1145/2643230.2643240.

Dressler, Falko, et al. “Towards a Vehicular Cloud - Using Parked Vehicles as a Temporary Network and Storage Infrastructure.”10.1145/2633661.2633671__Proceedings of the 2014 ACM International Workshop on Wireless and Mobile Technologies for Smart Cities - WiMobCity ’14, 2014, doi:10.1145/2633661.2633671.

Eckert, Juergen, et al. “Towards a Simulation Framework for Paraglider Networks.”10.1145/2653481.2655754__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, David, et al. “SmartRevoc: An Efficient and Privacy Preserving Revocation System Using Parked Vehicles.”10.1109/lcn.2013.6761338__38th Annual IEEE Conference on Local Computer Networks, 2014, doi:10.1109/lcn.2013.6761338.

Eckhoff, David, and Christoph Sommer. “Driving for Big Data? Privacy Concerns in Vehicular Networking.”10.1109/msp.2014.2__IEEE Security &; Privacy, 2014, pp. 77–79, doi:10.1109/msp.2014.2.

Erlacher, Felix, et al. “On the Impact of Street Width on 5.9 GHz Radio Signal Propagation in Vehicular Networks.”10.1109/wons.2014.6814735__2014 11th Annual Conference on Wireless On-Demand Network Systems and Services (WONS), 2014, doi:10.1109/wons.2014.6814735.

Malandrino, Francesco, et al. “The Role of Parked Cars in Content Downloading for Vehicular Networks.”10.1109/tvt.2014.2316645__IEEE Transactions on Vehicular Technology, 2014, pp. 4606–17, doi:10.1109/tvt.2014.2316645.

Segata, Michele, et al. “Short Paper: Vehicle Shadowing Distribution Depends on Vehicle Type: Results of an Experimental Study.”10.1109/vnc.2013.6737623__2013 IEEE Vehicular Networking Conference, 2014, doi:10.1109/vnc.2013.6737623.

Segata, Michele, et al. “Towards Energy Efficient Smart Phone Applications: Energy Models for Offloading Tasks into the Cloud.”10.1109/icc.2014.6883681__2014 IEEE International Conference on Communications (ICC), 2014, doi:10.1109/icc.2014.6883681.

Sommer, Christoph, et al. “A Networking Perspective on Self-Organizing Intersection Management.”10.1109/wf-iot.2014.6803164__2014 IEEE World Forum on Internet of Things (WF-IoT), 2014, doi:10.1109/wf-iot.2014.6803164.

Tung, Lung-Chih, et al. “A Cluster Based Architecture for Intersection Collision Avoidance Using Heterogeneous Networks.”10.1109/medhocnet.2013.6767414__2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), 2014, doi:10.1109/medhocnet.2013.6767414.

Hellebrand, Sybille, et al. “FAST-BIST: Faster-than-at-Speed BIST Targeting Hidden Delay Defects.”10.1109/test.2014.7035360__IEEE International Test Conference (ITC’14), IEEE, 2014, doi:10.1109/test.2014.7035360.

Busjahn, Teresa, et al. “What Influences Dwell Time during Source Code Reading?: Analysis of Element Type and Frequency as Factors.” ETRA, ACM, 2014, pp. 335–38.

Busjahn, Teresa, et al. “Eye Tracking in Computing Education.” ICER, ACM, 2014, pp. 3–10.

Busjahn, Teresa, et al. “Developing Coding Schemes for Program Comprehension Using Eye Movements.” PPIG, Psychology of Programming Interest Group, 2014, p. 15.

Schulte, Carsten, et al., editors. Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014. ACM, 2014.

Riesen, Hans, et al. “Optical Spectroscopy of Graphene Quantum Dots: The Case of 2.”10.1021/jp502753a__The Journal of Physical Chemistry A, 2014, pp. 5189–95, doi:10.1021/jp502753a.

Wiebeler, Christian, and Stefan Schumacher. “Quantum Yields and Reaction Times of Photochromic Diarylethenes: Nonadiabatic Ab Initio Molecular Dynamics for Normal- and Inverse-Type.”10.1021/jp506316w__The Journal of Physical Chemistry A, 2014, pp. 7816–23, doi:10.1021/jp506316w.

Lewandowski, P., et al. “Formation and Control of Transverse Patterns in a Quantum Fluid of Microcavity Polaritons.”10.1117/12.2037174__Ultrafast Phenomena and Nanophotonics XVIII, edited by Markus Betz et al., 2014, doi:10.1117/12.2037174.

Meyer, Christopher, et al. “Revisiting SSL/TLS Implementations: New Bleichenbacher Side Channels and Attacks.” 23rd USENIX Security Symposium (USENIX Security 14), USENIX Association, 2014, pp. 733–48.

Chen, Mei-Hua, et al. “RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions.” Proceedings of the AsiaCALL 2014, 2014.

Maßbaum, Alexandra, and Caren Sureth-Sloane. “Thin Capitalization Rules and Entrepreneurial Capital Structure Decisions.”10.1007/bf03342708__Business Research, vol. 2, no. 2, 2014, pp. 147–69, doi:10.1007/bf03342708.

Böttcher, Stefan, et al. “Difference Computation for Grammar-Compressed XML Data.” Proceedings of the Second Australasian Web Conference, Australian Computer Society, Inc., 2014, pp. 3–12.

Böttcher, Stefan, et al. “Keyword Search on DAG-Compressed XML Data.” Proceedings of the Second Australasian Web Conference, Australian Computer Society, Inc., 2014, pp. 13–20.

Böttcher, Stefan, et al. “Efficient XML Keyword Search Based on DAG-Compression.”10.1007/978-3-319-10073-9_11__Database and Expert Systems Applications - 25th International Conference, DEXA 2014, Springer, 2014, pp. 122–37, doi:10.1007/978-3-319-10073-9_11.

Niendorf, Thomas, et al. “Functionally Graded Alloys Obtained by Additive Manufacturing.”10.1002/adem.201300579__Advanced Engineering Materials, 2014, pp. 857–61, doi:10.1002/adem.201300579.

Riemer, A., et al. “On the Fatigue Crack Growth Behavior in 316L Stainless Steel Manufactured by Selective Laser Melting.”10.1016/j.engfracmech.2014.03.008__Engineering Fracture Mechanics, 2014, pp. 15–25, doi:10.1016/j.engfracmech.2014.03.008.

Agarwal, M., et al. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 3–4, 2014.

Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 11, no. 5, 2014, pp. 878–90.

Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.

Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems, vol. 5, 2014, pp. 175–91.

Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning, vol. 97, no. 3, 2014, pp. 327–51.

Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations, vol. 16, no. 1, 2014, pp. 1–10.

Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing, vol. 141, 2014, pp. 97–109.

Shaker, Ammar, and Eyke 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, 2014, pp. 199–212.

Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014, pp. 16–29.