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9900 Publications


2020 | Conference Paper | LibreCat-ID: 16898
Lass, M., Schade, R., Kühne, T., & Plessl, C. (2020). A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 1127–1140. https://doi.org/10.1109/SC41405.2020.00084
LibreCat | DOI | Download (ext.) | arXiv
 

2020 | Book Chapter | LibreCat-ID: 29042
Röder, M., Sherif, M., Saleem, M., Conrads, F., & Ngonga Ngomo, A.-C. (2020). Benchmarking the Lifecycle of Knowledge Graphs. In I. Tiddi, F. Lécué, & P. Hitzler (Eds.), Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges (pp. 73–97). IOS Press. https://doi.org/10.3233/SSW200012
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2020 | Conference Paper | LibreCat-ID: 21632
Meyer, M., Kenter, T., & Plessl, C. (2020). Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite. 2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC). https://doi.org/10.1109/h2rc51942.2020.00007
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2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj, V., Lass, M., Plessl, C., & Kühne, T. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation, 8(2), Article 39. https://doi.org/10.3390/computation8020039
LibreCat | DOI | Download (ext.) | arXiv
 

2020 | Conference Paper | LibreCat-ID: 13226 | OA
Gharibian, S., Piddock, S., & Yirka, J. (2020). Oracle complexity classes and local measurements on physical  Hamiltonians. Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020), 38.
LibreCat | Download (ext.) | arXiv
 

2020 | Conference Paper | LibreCat-ID: 46319
Assenmacher, D., Adam, L., Trautmann, H., & Grimme, C. (2020). Towards Real-Time and Unsupervised Campaign Detection in Social Media. Proceedings of the Florida Artificial Intelligence Research Society Conference.
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2020 | Conference Paper | LibreCat-ID: 20505
Heitkaemper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (2020). Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. INTERSPEECH 2020 Virtual Shanghai China.
LibreCat | Files available
 

2020 | Journal Article | LibreCat-ID: 45383
Dröse, J., & Prediger, S. (2020). Enhancing Fifth Graders’ Awareness of Syntactic Features in Mathematical Word Problems: A Design Research Study on the Variation Principle. Journal Für Mathematik-Didaktik, 41(2), 399–422. https://doi.org/doi.org/10.1007/s13138-019-00153-z
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2020 | Book Chapter | LibreCat-ID: 29413
Flaßkamp, K., Ober-Blöbaum, S., & Peitz, S. (2020). Symmetry in optimal control: A multiobjective model predictive control approach. In O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, & K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation (pp. 209–237). Springer International Publishing.
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2020 | Conference Paper | LibreCat-ID: 20762 | OA
von Neumann, T., Kinoshita, K., Drude, L., Boeddeker, C., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2020). End-to-End Training of Time Domain Audio Separation and Recognition. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 7004–7008. https://doi.org/10.1109/ICASSP40776.2020.9053461
LibreCat | Files available | DOI
 

2020 | Conference Paper | LibreCat-ID: 20764 | OA
von Neumann, T., Boeddeker, C., Drude, L., Kinoshita, K., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2020). Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. Proc. Interspeech 2020, 3097–3101. https://doi.org/10.21437/Interspeech.2020-2519
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2020 | Conference Paper | LibreCat-ID: 18651 | OA
Gburrek, T., Schmalenstroeer, J., Brendel, A., Kellermann, W., & Haeb-Umbach, R. (2020). Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network. European Signal Processing Conference (EUSIPCO).
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2020 | Journal Article | LibreCat-ID: 31553
Seitz, S., Häsel-Weide, U., Wilke, Y., & Wallner, M. (2020). Expertise von Lehrpersonen für inklusiven Mathematikunterricht der Sekundarstufe - Ausgangspunkte zur Professionalisierungsforschung. K:ON Kölner Online-Journal für Lehrer*innenbildung, 2. https://doi.org/10.18716/ojs/kON/2020.2.03
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2020 | Conference Paper | LibreCat-ID: 46328
Prager, R. P., Trautmann, H., Wang, H., Bäck, T. H. W., & Kerschke, P. (2020). Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 996–1003. https://doi.org/10.1109/SSCI47803.2020.9308510
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2020 | Conference Paper | LibreCat-ID: 46320
Assenmacher, D., Clever, L., Pohl, J., Trautmann, H., & Grimme, C. (2020). A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In G. Meiselwitz (Ed.), Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis (pp. 201–214). Springer International Publishing. https://doi.org/10.1007/978-3-030-49570-1_14
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2020 | Conference Paper | LibreCat-ID: 46325
Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). Towards Automated Configuration of Stream Clustering Algorithms. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), 137–143. https://doi.org/10.1007/978-3-030-43823-4_12
LibreCat | DOI
 

2020 | Conference Paper | LibreCat-ID: 46321
Assenmacher, D., Frischlich , L., Trautmann, H., Grimme, C., & Adam, L. (2020). Inside the tool set of automation: Free social bot code revisited. In C. Grimme, M. Preuß, F. Takes, & A. Waldherr (Eds.), Disinformation in open online media (pp. 101–114). Springer.
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2020 | Conference Paper | LibreCat-ID: 46326
Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 80–95. https://doi.org/10.1007/978-3-030-53552-0_10
LibreCat | DOI
 

2020 | Conference Paper | LibreCat-ID: 46327
Lena, C., Frischlich, L., Trautmann, H., & Grimme, C. (2020). Automated detection of nostalgic text in the context of societal pessimism. In C. Grimme, M. Preuß, F. Takes, & A. Waldherr (Eds.), Disinformation in open online media (pp. 48–58).
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2020 | Conference Paper | LibreCat-ID: 46329
Riehle, D. M., Niemann, M., Brunk, J., Assenmacher, D., Trautmann, H., & Becker, J. (2020). Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool. In G. Meiselwitz (Ed.), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing (pp. 71–86). Springer International Publishing.
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