World's Best Scientists 2026 revealed!
Carsten Eickhoff

Carsten Eickhoff

D-Index & Metrics

Computer Science

D-Index
30
Citations
4217
World Ranking
14049
National Ranking
679

Best Publications

  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

    Unknown

  • Machine learning for real-time prediction of complications in critical care: a retrospective study

    Alexander Meyer;Dina Zverinski;Boris Pfahringer;Jörg Kempfert

  • Quality through flow and immersion: gamifying crowdsourced relevance assessments

    Carsten Eickhoff;Christopher G. Harris;Arjen P. de Vries;Padmini Srinivasan

  • Increasing cheat robustness of crowdsourcing tasks

    Carsten Eickhoff;Arjen P. Vries

  • Lessons from the journey: a query log analysis of within-session learning

    Carsten Eickhoff;Jaime Teevan;Ryen White;Susan Dumais

  • Probabilistic Bag-Of-Hyperlinks Model for Entity Linking

    Octavian-Eugen Ganea;Marina Ganea;Aurelien Lucchi;Carsten Eickhoff

  • Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance.

    Nina Rank;Boris Pfahringer;Jörg Kempfert;Christof Stamm

  • Cognitive Biases in Crowdsourcing

    Carsten Eickhoff

  • How Crowdsourcable is Your Task

    Unknown

  • The where in the tweet

    Wen Li;Pavel Serdyukov;Arjen P. de Vries;Carsten Eickhoff

  • Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

    Unknown

  • Advancing health equity with artificial intelligence.

    Nicole M. Thomasian;Carsten Eickhoff;Eli Y. Adashi

  • Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation

    Bogdan Ionescu;Henning Müller;Mauricio Villegas;Alba Garcia Seco de Herrera

  • Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network

    Unknown

  • Drug-drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings.

    Unknown

  • Overview of ImageCLEF 2017: Information extraction from images

    Bogdan Ionescu;Henning Müller;Mauricio Villegas;Helbert Arenas

  • A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study

    Unknown

  • A Transformer-based Framework for Multivariate Time Series Representation Learning

    Unknown

  • Neural Document Embeddings for Intensive Care Patient Mortality Prediction.

    Unknown

  • Neural Document Embeddings for Intensive Care Patient Mortality Prediction

    Unknown

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