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Eingebettete Intelligenz

Publikationen

Seite 1 von 2.

  1. A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content

    In: Proceedings of ICAART 2024. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, SCITEPRESS, …

  2. FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification

    In: Journal of King Saud University - Computer and Information Sciences, Vol. 35, No. 8 (101665), Elsevier, 9/2023.

  3. 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.

  4. 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, …

  5. Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Muhammad Imran Malik; Christoph Zehe; Olivier Cloarec; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    EL-RMLocNet: An explainable LSTM network for RNA-associated multi-compartment localization prediction

    In: Computational and Structural Biotechnology Journal, Vol. 20, Pages 3986-4002, Elsevier, 2022.

  6. Advances in Computational Methodologies for Classification and Sub-Cellular Locality Prediction of Non-Coding RNAs

    In: International Journal of Molecular Sciences (IJMS), Vol. 22, No. 8719, Pages 1-42, MDPI, 8/2021.

Kontakt

Sekretariat:
Shannon Kittrell, B.A.
Tel.: +49 631 20575 4010

Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
Forschungsbereich Eingebettete Intelligenz
Trippstadter Str. 122
67663 Kaiserslautern
Deutschland