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.
LibreCat: /record/10773
DOI: 10.1109/NANOARCH.2014.6880479

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.
LibreCat: /record/11974
DOI: 10.1109/iccnc.2014.6785438

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.
LibreCat: /record/11978
DOI: 10.1109/vnc.2013.6737601

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.
LibreCat: /record/11979
DOI: 10.1145/2643230.2643240

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.
LibreCat: /record/11994
DOI: 10.1145/2633661.2633671

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.
LibreCat: /record/11996
DOI: 10.1145/2653481.2655754

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.
LibreCat: /record/12002
DOI: 10.1109/lcn.2013.6761338

D. Eckhoff and C. Sommer, “Driving for Big Data? Privacy Concerns in Vehicular Networking,” IEEE Security &; Privacy, pp. 77–79, 2014.
LibreCat: /record/12003
DOI: 10.1109/msp.2014.2

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.
LibreCat: /record/12008
DOI: 10.1109/wons.2014.6814735

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.
LibreCat: /record/12038
DOI: 10.1109/tvt.2014.2316645

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.
LibreCat: /record/12046
DOI: 10.1109/vnc.2013.6737623

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.
LibreCat: /record/12049
DOI: 10.1109/icc.2014.6883681

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.
LibreCat: /record/12067
DOI: 10.1109/wf-iot.2014.6803164

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.
LibreCat: /record/12073
DOI: 10.1109/medhocnet.2013.6767414

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.
LibreCat: /record/15660

T. Busjahn et al., “Eye tracking in computing education,” in ICER, 2014, pp. 3–10.
LibreCat: /record/15661

T. Busjahn, C. Schulte, and E. Kropp, “Developing Coding Schemes for Program Comprehension using Eye Movements,” in PPIG, 2014, p. 15.
LibreCat: /record/15662

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.
LibreCat: /record/15663

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.
LibreCat: /record/14874

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.
LibreCat: /record/15089

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.
LibreCat: /record/15090

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.
LibreCat: /record/15092
DOI: 10.1007/978-3-319-10073-9_11

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.
LibreCat: /record/16046

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.
LibreCat: /record/16060

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.
LibreCat: /record/16064

S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy-rule-based systems,” Evolving Systems, vol. 5, pp. 175–191, 2014.
LibreCat: /record/16069

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.
LibreCat: /record/16077

G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
LibreCat: /record/16078

M. Strickert, K. Bunte, F. M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014.
LibreCat: /record/16079

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.
LibreCat: /record/16080

R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014.
LibreCat: /record/16082

N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner, and A. Becker, “The comprehensive diagnostic study is suggested as a design to model the diagnostic process,” Journal of Clinical Epidemiology, vol. 2, no. 67, pp. 124–132, 2014.
LibreCat: /record/16083

T. Lukovszki and F. Meyer auf der Heide, “Fast Collisionless Pattern Formation by Anonymous, Position-Aware Robots,” in Lecture Notes in Computer Science, Cham, 2014.
LibreCat: /record/16394
DOI: 10.1007/978-3-319-14472-6_17

S. Abshoff and F. Meyer auf der Heide, “Continuous Aggregation in Dynamic Ad-Hoc Networks,” in Structural Information and Communication Complexity, Cham, 2014.
LibreCat: /record/16395
DOI: 10.1007/978-3-319-09620-9_16

T. Graf and M. Platzner, “Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go,” in 2014 IEEE Conference on Computational Intelligence and Games, 2014, pp. 1–8.
LibreCat: /record/13154
DOI: 10.1109/CIG.2014.6932863

R. Busa-Fekete, B. Szörényi, and E. Hüllermeier, “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences,” in Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.
LibreCat: /record/10247

R. Busa-Fekete and E. Hüllermeier, “A Survey of Preference-Based Online Learning with Bandit Algorithms,” in Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
LibreCat: /record/10248

S. Henzgen and E. Hüllermeier, “Mining Rank Data,” in Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.
LibreCat: /record/10249

A. Fallah Tehrani, M. Strickert, and E. Hüllermeier, “The Choquet kernel for monotone data,” in Proceedings ESANN , Bruges, Belgium, 2014.
LibreCat: /record/10250

A. Abdel-Aziz, M. Strickert, and E. Hüllermeier, “Learning Solution Similarity in Preference-Based CBR,” in Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.
LibreCat: /record/10251

D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce Model,” in Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.
LibreCat: /record/10253

T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France,” in Proceedings, Parts I-III. Lecture Notes in Computer Science, 2014, pp. 8724–8726.
LibreCat: /record/10254

J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, and S. Sanner, “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 2014, vol. 4, no. 3, pp. 1–27.
LibreCat: /record/10295

A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing temporal events in dynamically changing environments,” Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.
LibreCat: /record/10296

F. Hoffmann, E. Hüllermeier, and A. Kroll, “Ausgewählte Beiträge des GMA-Fachausschusses 5.14,” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, pp. 685–686, 2014.
LibreCat: /record/10297

T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Data Min. Knowledge Discovery, vol. 28, no. 5–6, pp. 1129–1133, 2014.
LibreCat: /record/10298

S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy rule-based systems,” Evolving Systems, vol. 5, no. 3, pp. 175–191, 2014.
LibreCat: /record/10299

E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.
LibreCat: /record/10308

E. Hüllermeier, “Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1609–1613, 2014.
LibreCat: /record/10309

M. Strickert, K. Bunte, F.-M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014.
LibreCat: /record/10310