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Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools.

S. Nikolova, J. Boyd-Graber, and C. Fellbaum. Modeling, Learning, and Processing of Text Technological Data Structures, volume 370 of Studies in Computational Intelligence, Springer, (2012)

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L. Ahlgrimm

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, and B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, and T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Univ. -Prof. Dr. Remco Ingmar Leine University of Stuttgart

Christian León University of Stuttgart

Other publications of authors with the same name

Interactive topic modeling.Y. Hu, J. Boyd-Graber, B. Satinoff, and A. Smith. Machine Learning, 95 (3): 423-469 (2014)Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions.E. Wallace, P. Rodriguez, S. Feng, and J. Boyd-Graber. CoRR, (2018)Mitigating Noisy Inputs for Question Answering.D. Peskov, J. Barrow, P. Rodriguez, G. Neubig, and J. Boyd-Graber. CoRR, (2019)Inducing and Embedding Senses with Scaled Gumbel Softmax.F. Guo, M. Iyyer, and J. Boyd-Graber. CoRR, (2018)Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors.W. Yang, J. Boyd-Graber, and P. Resnik. EMNLP, page 261-266. The Association for Computational Linguistics, (2015)Adapting Topic Models using Lexical Associations with Tree Priors.W. Yang, J. Boyd-Graber, and P. Resnik. EMNLP, page 1901-1906. Association for Computational Linguistics, (2017)Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback.K. Nguyen, H. III, and J. Boyd-Graber. EMNLP, page 1464-1474. Association for Computational Linguistics, (2017)Why ADAGRAD Fails for Online Topic Modeling.Y. Lu, J. Lund, and J. Boyd-Graber. EMNLP, page 446-451. Association for Computational Linguistics, (2017)A Neural Network for Factoid Question Answering over Paragraphs.M. Iyyer, J. Boyd-Graber, L. Claudino, R. Socher, and H. III. EMNLP, page 633-644. ACL, (2014)Simulating Audiences: Automating Analysis of Values, Attitudes, and Sentiment.T. Templeton, K. Fleischmann, and J. Boyd-Graber. SocialCom/PASSAT, page 734-737. IEEE Computer Society, (2011)