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Carsten Eickhoff
Carsten Eickhoff
Professor, University of Tübingen
Bestätigte E-Mail-Adresse bei uni-tuebingen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A transformer-based framework for multivariate time series representation learning
G Zerveas, S Jayaraman, D Patel, A Bhamidipaty, C Eickhoff
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
10362021
Machine learning for real-time prediction of complications in critical care: a retrospective study
A Meyer, D Zverinski, B Pfahringer, J Kempfert, T Kuehne, ...
The Lancet Respiratory Medicine 6 (12), 905-914, 2018
3442018
Quality through flow and immersion: gamifying crowdsourced relevance assessments
C Eickhoff, CG Harris, AP de Vries, P Srinivasan
Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012
3122012
Increasing cheat robustness of crowdsourcing tasks
C Eickhoff, AP de Vries
Information retrieval 16, 121-137, 2013
2772013
Cognitive biases in crowdsourcing
C Eickhoff
Proceedings of the eleventh ACM international conference on web search and …, 2018
2002018
How much spam can you take? an analysis of crowdsourcing results to increase accuracy
J Vuurens, AP de Vries, C Eickhoff
Proc. ACM SIGIR Workshop on Crowdsourcing for Information Retrieval (CIR’11 …, 2011
2002011
Lessons from the journey: a query log analysis of within-session learning
C Eickhoff, J Teevan, R White, S Dumais
Proceedings of the 7th ACM international conference on Web search and data …, 2014
1892014
Probabilistic bag-of-hyperlinks model for entity linking
OE Ganea, M Ganea, A Lucchi, C Eickhoff, T Hofmann
Proceedings of the 25th international conference on world wide web, 927-938, 2016
1652016
How crowdsourcable is your task
C Eickhoff, A de Vries
Proceedings of the workshop on crowdsourcing for search and data mining …, 2011
1442011
The where in the tweet
W Li, P Serdyukov, AP de Vries, C Eickhoff, M Larson
Proceedings of the 20th ACM international conference on Information and …, 2011
1332011
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance
N Rank, B Pfahringer, J Kempfert, C Stamm, T Kühne, F Schoenrath, ...
NPJ digital medicine 3 (1), 139, 2020
1022020
Linearly mapping from image to text space
J Merullo, L Castricato, C Eickhoff, E Pavlick
arXiv preprint arXiv:2209.15162, 2022
1002022
Advancing health equity with artificial intelligence
NM Thomasian, C Eickhoff, EY Adashi
Journal of public health policy 42 (4), 602, 2021
982021
Overview of ImageCLEF 2018: Challenges, datasets and evaluation
B Ionescu, H Müller, M Villegas, A García Seco de Herrera, C Eickhoff, ...
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 9th …, 2018
852018
Overview of ImageCLEFcaption 2017: image caption prediction and concept detection for biomedical images
C Eickhoff, I Schwall, A García Seco de Herrera, H Müller
Proceedings of the CLEF 2017 working notes, 2017
792017
Overview of ImageCLEF 2017: Information extraction from images
B Ionescu, H Müller, M Villegas, H Arenas, G Boato, DT Dang-Nguyen, ...
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017
722017
Detecting large vessel occlusion at multiphase CT angiography by using a deep convolutional neural network
MT Stib, J Vasquez, MP Dong, YH Kim, SS Subzwari, HJ Triedman, ...
Radiology 297 (3), 640-649, 2020
672020
Overview of the ImageCLEF 2018 caption prediction tasks
A García Seco de Herrera, C Eickhof, V Andrearczyk, H Müller
Working Notes of CLEF 2018-Conference and Labs of the Evaluation Forum (CLEF …, 2018
662018
Neural document embeddings for intensive care patient mortality prediction
P Grnarova, F Schmidt, SL Hyland, C Eickhoff
arXiv preprint arXiv:1612.00467, 2016
662016
Drug–drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings
Y Dai, C Guo, W Guo, C Eickhoff
Briefings in bioinformatics 22 (4), bbaa256, 2021
632021
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