Skip to main content Skip to main navigation

Publications

Displaying results 61 to 70 of 599.
  1. Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification

    In: Neural Computing and Applications, Vol. 33, Pages 5437-5469, Springer, 9/2020.

  2. Muhammad Nabeel Asim; Muhammad Imran Malik; Christoph Zehe; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC)

    In: IEEE Access, Vol. 9, Pages 19379-19390, IEEE, 2020.

  3. Marc Hildebrandt; Sascha Arnold; Philipp Kloss; Bilal Wehbe; Michael Zipper

    From epi-to bathypelagic: Transformation of a compact auv system for long-term deployments

    In: 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV). IEEE/OES Autonomous Underwater Vehicles (AUV-2020), Memorial University of Newfoundland, St. John's, NL, Canada, Pages 1-6, IEEE, 2020.

  4. Tewodros Amberbir Habtegebrial; Varun Jampani; Orazio Gallo; Didier Stricker

    Generative View Synthesis: From Single-view Semantics to Novel-view Images

    In: H. Larochelle; M. Ranzato; R. Hadsell; M.F. Balcan; H. Lin (Hrsg.). Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Neural Information Processing Systems (NeurIPS-2020), December 6-12, Neural Information Processing Systems, 12/2020.

  5. Payam Habiby; Sebastian Huhn; Rolf Drechsler

    Power-aware Test Scheduling for IEEE 1687 Networks with Multiple Power Domains

    In: 33rd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems 2020. IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT-2020), ISBN 978-1-7281-9457-8, IEEE, 2020.

  6. Robin Rehrmann; Carsten Binnig; Alexander Böhm; Kihong Kim; Wolfgang Lehner

    Sharing Opportunities for OLTP Workloads in Different Isolation Levels

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 10, Pages 1696-1708, Association for Computing Machinery (ACM), 2020.

  7. Benjamin Hilprecht; Andreas Schmidt; Moritz Kulessa; Alejandro Molina; Kristian Kersting; Carsten Binnig

    DeepDB: Learn from Data, not from Queries!

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 7, Pages 992-1005, Association for Computing Machinery (ACM), 2020.

  8. Sounak Kar; Robin Rehrmann; Arpan Mukhopadhyay; Bastian Alt; Florin Ciucu; Heinz Koeppl; Carsten Binnig; Amr Rizk

    On the Throughput Optimization in Large-scale Batch-processing Systems

    In: Performance Evaluation, Vol. 144, Pages 0-10, Elsevier, 2020.

  9. Nathaniel Weir; Prasetya Utama; Alex Galakatos; Andrew Crotty; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Ugur Çetintemel; Carsten Binnig

    DBPal: A Fully Pluggable NL2SQL Training Pipeline

    In: David Maier; Rachel Pottinger; AnHai Doan; Wang-Chiew Tan; Abdussalam Alawini; Hung Q. Ngo (Hrsg.). Proceedings of the 2020 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Pages 2347-2361, ACM, 2020.