SmartRevoc: An efficient and privacy preserving revocation system using parked vehicles
D. Eckhoff, F. Dressler, C. Sommer, in: 38th Annual IEEE Conference on Local Computer Networks, 2014.
LibreCat: /record/12002
DOI: 10.1109/lcn.2013.6761338

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

On the impact of street width on 5.9 GHz radio signal propagation in vehicular networks
F. Erlacher, F. Klingler, C. Sommer, F. Dressler, in: 2014 11th Annual Conference on Wireless On-Demand Network Systems and Services (WONS), 2014.
LibreCat: /record/12008
DOI: 10.1109/wons.2014.6814735

The Role of Parked Cars in Content Downloading for Vehicular Networks
F. Malandrino, C. Casetti, C.-F. Chiasserini, C. Sommer, F. Dressler, IEEE Transactions on Vehicular Technology (2014) 4606–4617.
LibreCat: /record/12038
DOI: 10.1109/tvt.2014.2316645

Short paper: Vehicle shadowing distribution depends on vehicle type: Results of an experimental study
M. Segata, B. Bloessl, S. Joerer, C. Sommer, R. Lo Cigno, F. Dressler, in: 2013 IEEE Vehicular Networking Conference, 2014.
LibreCat: /record/12046
DOI: 10.1109/vnc.2013.6737623

Towards energy efficient smart phone applications: Energy models for offloading tasks into the cloud
M. Segata, B. Bloessl, C. Sommer, F. Dressler, in: 2014 IEEE International Conference on Communications (ICC), 2014.
LibreCat: /record/12049
DOI: 10.1109/icc.2014.6883681

A networking perspective on self-organizing intersection management
C. Sommer, F. Hagenauer, F. Dressler, in: 2014 IEEE World Forum on Internet of Things (WF-IoT), 2014.
LibreCat: /record/12067
DOI: 10.1109/wf-iot.2014.6803164

A cluster based architecture for intersection collision avoidance using heterogeneous networks
L.-C. Tung, J. Mena, M. Gerla, C. Sommer, in: 2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), 2014.
LibreCat: /record/12073
DOI: 10.1109/medhocnet.2013.6767414

What influences dwell time during source code reading?: analysis of element type and frequency as factors
T. Busjahn, R. Bednarik, C. Schulte, in: ETRA, ACM, 2014, pp. 335–338.
LibreCat: /record/15660

Eye tracking in computing education
T. Busjahn, C. Schulte, B. Sharif, A. Begel, M. Hansen, R. Bednarik, P. Orlov, P. Ihantola, G. Shchekotova, M. Antropova, in: ICER, ACM, 2014, pp. 3–10.
LibreCat: /record/15661

Developing Coding Schemes for Program Comprehension using Eye Movements
T. Busjahn, C. Schulte, E. Kropp, in: PPIG, Psychology of Programming Interest Group, 2014, p. 15.
LibreCat: /record/15662

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

RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions
M.-H. Chen, W.-F. Chen, L.-W.  Ku, in: Proceedings of the AsiaCALL 2014, 2014.
LibreCat: /record/14874

Difference Computation for Grammar-Compressed XML Data
S. Böttcher, R. Hartel, S. Thiele, in: Proceedings of the Second Australasian Web Conference, Australian Computer Society, Inc., 2014, pp. 3–12.
LibreCat: /record/15089

Keyword Search on DAG-Compressed XML Data
S. Böttcher, M. Brandenburg, R. Hartel, in: Proceedings of the Second Australasian Web Conference, Australian Computer Society, Inc., 2014, pp. 13–20.
LibreCat: /record/15090

Efficient XML Keyword Search Based on DAG-Compression
S. Böttcher, R. Hartel, J. Rabe, in: Database and Expert Systems Applications - 25th International Conference, DEXA 2014, Springer, Cham, 2014, pp. 122–137.
LibreCat: /record/15092
DOI: 10.1007/978-3-319-10073-9_11

Preference-based learning of ideal solutions in TOPSIS-like decision models
M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria Decision Analysis 22 (2014).
LibreCat: /record/16046

Extended graph-based models for enhanced similarity search in Cabase
T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 11 (2014) 878–890.
LibreCat: /record/16060

Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014) 1519–1534.
LibreCat: /record/16064

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

Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.
LibreCat: /record/16077

Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.
LibreCat: /record/16078

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

Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and Computer Science 24 (2014) 199–212.
LibreCat: /record/16080

Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.
LibreCat: /record/16082

The comprehensive diagnostic study is suggested as a design to model the diagnostic process
N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner, A. Becker, Journal of Clinical Epidemiology 2 (2014) 124–132.
LibreCat: /record/16083

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

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

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

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

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

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

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

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

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

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

Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports
J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, S. Sanner, in: 2014, pp. 1–27.
LibreCat: /record/10295

Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, Applied Mathematics and Computer Science 24 (2014) 199–212.
LibreCat: /record/10296

Ausgewählte Beiträge des GMA-Fachausschusses 5.14
F. Hoffmann, E. Hüllermeier, A. Kroll, Computational Intelligence Automatisierungstechnik 62 (2014) 685–686.
LibreCat: /record/10297

Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Data Min. Knowledge Discovery 28 (2014) 1129–1133.
LibreCat: /record/10298

Visualization of evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
LibreCat: /record/10299

Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1519–1534.
LibreCat: /record/10308

Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1609–1613.
LibreCat: /record/10309

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

Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.
LibreCat: /record/10311

Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances
M. Mernberger, M. Moog, S. Stork, S. Zauner, U.G. Maier, E. Hüllermeier, J. Bioinformatics and Computational Biology 12 (2014).
LibreCat: /record/10312

Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Machine Learning 97 (2014) 1–3.
LibreCat: /record/10313

Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm
R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.
LibreCat: /record/10314

Dependent binary relevance models for multi-label classification
E. Montanés, R. Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, E. Hüllermeier, Pattern Recognition 47 (2014) 1494–1508.
LibreCat: /record/10315

Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.
LibreCat: /record/10316