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5943 Publications
2016 | Conference Paper | LibreCat-ID: 137 | 
Heindorf, S., Potthast, M., Stein, B., & Engels, G. (2016). Vandalism Detection in Wikidata. Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016), 327--336. https://doi.org/10.1145/2983323.2983740
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2016 | Book Chapter | LibreCat-ID: 2978
Blömer, J., & Bujna, K. (2016). Adaptive Seeding for Gaussian Mixture Models. In Advances in Knowledge Discovery and Data Mining (pp. 296–308). Springer International Publishing. https://doi.org/10.1007/978-3-319-31750-2_24
LibreCat
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2016 | Journal Article | LibreCat-ID: 48306
Habernal, I., & Gurevych, I. (2016). Argumentation Mining in User-Generated Web Discourse. Computational Linguistics, 43(1), 125–179. https://doi.org/10.1162/coli_a_00276
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2016 | Conference Paper | LibreCat-ID: 48308
Habernal, I., Sukhareva, M., Raiber, F., Shtok, A., Kurland, O., Ronen, H., Bar-Ilan, J., & Gurevych, I. (2016). New Collection Announcement. Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. https://doi.org/10.1145/2911451.2914682
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2016 | Conference Paper | LibreCat-ID: 48307
Habernal, I., & Gurevych, I. (2016). Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). https://doi.org/10.18653/v1/p16-1150
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2016 | Conference Paper | LibreCat-ID: 46364
Blot, A., Hoos, H., Jourdan, L., Marmion, M., & Trautmann, H. (2016). MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. In V. et al. Joaquin (Ed.), LION 2016: Learning and Intelligent Optimization (Vol. 10079, pp. 32–47). Springer International Publishing. https://doi.org/10.1007/978-3-319-50349-3_3
LibreCat
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2016 | Book Chapter | LibreCat-ID: 46363
Rudolph, G., Schütze, O., & Trautmann, H. (2016). On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. In G. Squillero & P. Burelli (Eds.), Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II (pp. 42–55). Springer International Publishing. https://doi.org/10.1007/978-3-319-31153-1_4
LibreCat
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2016 | Conference Paper | LibreCat-ID: 46369
Kerschke, P., Wang, H., Preuss, M., Grimme, C., Deutz, A., Trautmann, H., & Emmerich, M. (2016). Towards Analyzing Multimodality of Multiobjective Landscapes. Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), 962–972. https://doi.org/10.1007/978-3-319-45823-6_90
LibreCat
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2016 | Conference Paper | LibreCat-ID: 46367
Kerschke, P., Preuss, M., Wessing, S., & Trautmann, H. (2016). Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 229–236. https://doi.org/10.1145/2908812.2908845
LibreCat
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2016 | Journal Article | LibreCat-ID: 46371
Rudolph, G., Schütze, O., Grimme, C., Domínguez-Medina, C., & Trautmann, H. (2016). Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Computational Optimization and Applications (Comput. Optim. Appl.), 64(2), 589–618. https://doi.org/10.1007/s10589-015-9815-8
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2016 | Journal Article | LibreCat-ID: 46372
Schütze, O., Sosa, H. V., Trautmann, H., & Rudolph, G. (2016). The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems. Journal of Heuristics, 22(3), 273–300. https://doi.org/10.1007/s10732-016-9310-0
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2016 | Conference Paper | LibreCat-ID: 46368
Kerschke, P., & Trautmann, H. (2016). The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems. Proceedings of the IEEE Congress on Evolutionary Computation (CEC). https://doi.org/10.1109/CEC.2016.7748359
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2016 | Journal Article | LibreCat-ID: 46370
Neumann, F., & Trautmann, H. (2016). Working Group Report: Bridging the Gap Between Experiments and Theory Using Feature-Based Run-Time Analysis; Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211). Dagstuhl Reports, 5(5), 78–79. https://doi.org/10.4230/DagRep.5.5.57
LibreCat
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2016 | Conference Paper | LibreCat-ID: 48309
Habernal, I., & Gurevych, I. (2016). What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/v1/d16-1129
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 48873
Bossek, J., & Trautmann, H. (2016). Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. In P. Festa, M. Sellmann, & J. Vanschoren (Eds.), Learning and Intelligent Optimization (pp. 48–59). Springer International Publishing. https://doi.org/10.1007/978-3-319-50349-3_4
LibreCat
| DOI
2016 | Journal Article | LibreCat-ID: 52803
Borgwardt, S., Mailis, T., Peñaloza, R., & Turhan, A.-Y. (2016). Answering Fuzzy Conjunctive Queries Over Finitely Valued Fuzzy Ontologies. Journal on Data Semantics, 5(2), 55–75. https://doi.org/10.1007/s13740-015-0055-y
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 47240
Acar, Y., Backes, M., Bugiel, S., Fahl, S., McDaniel, P., & Smith, M. (2016). SoK: Lessons Learned from Android Security Research for Appified Software Platforms. 2016 IEEE Symposium on Security and Privacy (SP). https://doi.org/10.1109/sp.2016.33
LibreCat
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2016 | Conference Paper | LibreCat-ID: 47239
Dechand, S., Schürmann, D., Busse, K., Acar, Y., Fahl, S., & Smith, M. (2016). An Empirical Study of Textual Key-Fingerprint Representations. In T. Holz & S. Savage (Eds.), 25th USENIX Security Symposium, USENIX Security 16, Austin, TX, USA, August 10-12, 2016 (pp. 193–208). USENIX Association.
LibreCat
2016 | Conference Paper | LibreCat-ID: 47241
Acar, Y., Backes, M., Fahl, S., Kim, D., Mazurek, M. L., & Stransky, C. (2016). You Get Where You’re Looking for: The Impact of Information Sources on Code Security. 2016 IEEE Symposium on Security and Privacy (SP). https://doi.org/10.1109/sp.2016.25
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 46365
Bossek, J., & Trautmann, H. (2016). Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers. In P. Festa, M. Sellmann, & J. Vanschoren (Eds.), Learning and Intelligent Optimization (Vol. 10079, pp. 48–59). Springer International Publishing. https://doi.org/10.1007/978-3-319-50349-3_4
LibreCat
| DOI