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Publications

Displaying results 1261 to 1270 of 14387.

  1. Pratyush Agnihotri; Boris Koldehofe; Carsten Binnig; Manisha Luthra

    PANDA: performance prediction for parallel and dynamic stream processing

    In: Yongluan Zhou; Panos K. Chrysanthis; Vincenzo Gulisano; Eleni Tzirita Zacharatou (Hrsg.). 16th ACM International Conference on Distributed and Event-based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2022), June 27-30, Copenhagen, Denmark, Pages 180-181, ACM, 2022.

  2. Roman Heinrich; Manisha Luthra; Harald Kornmayer; Carsten Binnig

    Zero-shot cost models for distributed stream processing

    In: Yongluan Zhou; Panos K. Chrysanthis; Vincenzo Gulisano; Eleni Tzirita Zacharatou (Hrsg.). 16th ACM International Conference on Distributed and Event-based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2022), June 27-30, Copenhagen, Denmark, Pages 85-90, ACM, 2022.

  3. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig

    Towards Decentralized Parameter Servers for Secure Federated Learning

    In: Alfredo Cuzzocrea; Oleg Gusikhin; Wil M. P. van der Aalst; Slimane Hammoudi (Hrsg.). Proceedings of the 11th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2022), July 11-13, Lisbon, Portugal, Pages 257-269, SCITEPRESS, 2022.

  4. Tobias Ziegler; Dwarakanandan Bindiganavile Mohan; Viktor Leis; Carsten Binnig

    EFA: A Viable Alternative to RDMA over InfiniBand for DBMSs?

    In: Spyros Blanas; Norman May (Hrsg.). International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD), June 13, Philadelphia, PA, USA, Pages 10:1-10:5, ACM, 2022.

  5. Sourajyoti Datta; Muhammad Nabeel Asim; Andreas Dengel; Sheraz Ahmed

    NTpred: A robust and precise machine learning framework for in-silico identification of Tyrosine nitration sites in protein sequences

    In: Briefings in Functional Genomics, Vol. 18, Pages 1-17, Oxford University Press, 2023.

  6. Ahtisham Fazeel Abbasi; Muhammad Nabeel Asim; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    Deep Learning Architectures For the Prediction of YY1-Mediated Chromatin Loops

    In: Xuan Guo; Serghei Mangul; Murray Patterson; Alexander Zelikovsky (Hrsg.). Bioinformatics Research and Applications, 19th International Symposium, ISBRA 2023, Proceedings. International Symposium on Bioinformatics Research and Applications (ISBRA-2023), October 9-12, Wroclaw, Poland, Pages 72-84, Lecture Notes in Computer Science (LNC), Vol. 14248, ISBN 978-981-99-7073-5, Springer, 2023.

  7. Faiza Mehmood; Rehab Shahzadi; Hina Ghafoor; Muhammad Nabeel Asim; Muhammad Usman Ghani; Waqar Mahmood; Andreas Dengel

    EnML: Multi-label Ensemble Learning for Urdu Text Classification

    In: ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 22, Pages 1-31, ACM, 9/2023.

  8. Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI

    In: Juan Guillermo Diaz Ochoa (Hrsg.). Frontiers in Bioinformatics, Vol. 3, Pages 1-19, Frontiers Media SA, 7/2023.

  9. Christian Jilek; Markus Schröder; Heiko Maus; Sven Schwarz; Andreas Dengel

    Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.01732, Pages 1-73, arXiv, 2023.

  10. Roswitha Duwenbeck; Elsa Andrea Kirchner

    Auditive emotion recognition for emphatic AI-assistants

    In: Proceedings of the Sixteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services - CENTRIC 2023. International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services (CENTRIC-2023), located at SoftNet 2023 Congress, November 13-17, Valencia, Spain, Springer, 11/2023.

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