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Publikationen

Zeige Ergebnisse 891 bis 900 von 14717.

  1. Qianli Wang; Tatiana Anikina; Nils Feldhus; Simon Ostermann; Sebastian Möller; Vera Schmitt

    Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem

    In: Marianna Apidianaki; Hend Al-Khalifa; Barbara Di Eugenio; Steven Schockaert (Hrsg.). 31th International Conference on Computational Linguistics 2025. International Conference on Computational Linguistics (COLING-2025), January 19-24, Abu Dhabi, United Arab Emirates, International Conference on Computational Linguistics, 2025.

  2. Niharika Hegde; Shishir Muralidhara; René Schuster; Didier Stricker

    Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation

    In: IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, IEEE, 2025.

  3. Katharina Bendig; René Schuster; Nicole Thiemer; Karen Joisten; Didier Stricker

    AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy

    In: IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, Institute of Electrical and Electronics Engineers (IEEE), 2025.

  4. Tobias Wirth; Mihai Maftei; Rosa Esther Martin Peña; Iris Merget

    Towards Trusted AI: A Blueprint for Ethics Assessment in Practice

    In: Rebekka Görge; Elena Haedecke; Maximilian Poretschkin; Anna Schmitz (Hrsg.). Symposium on Scaling AI Assessments (SAIA 2024). Symposium on Scaling AI Assessments (SAIA-2024), September 30 - October 1, Cologne, Germany, Pages 7:1-7:19, Open Access Series in Informatics (OASIcs), Vol. 126, ISBN ISSN 2190-6807, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 1/2025.

  5. Pervaiz Khan; Andreas Dengel; Sheraz Ahmed

    Improving Disease Detection from Social Media Text via Self-Augmentation and Contrastive Learning

    In: 31st International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2024), December 2-6, Auckland, New Zealand, Springer Nature, 2025.

  6. Chandan Kumar Jha; Khushboo Qayyum; Muhammad Hassan; Rolf Drechsler

    FARAD: Automated Formal Verification of Approximate Restoring Array Dividers

    In: 38th International Conference on VLSI Design. International Conference on VLSI Design (VLSID-2025), 38th, January 4-8, Bangalore, India, 2025.

  7. Sajjad Parvin; Chandan Kumar Jha; Frank Sill Torres; Rolf Drechsler

    True-PolyTronik: Securing Circuits Against Laser Logic State Imaging Attack Using RFET

    In: 38th International Conference on VLSI Design. International Conference on VLSI Design (VLSID-2025), 38th, January 4-8, Bengaluru, India, 2025.

  8. Mohamed Nadeem; Chandan Kumar Jha; Rolf Drechsler

    Polynomial Formal Verification of Sequential Circuits using Weighted-AIGs

    In: Design, Automation and Test in Europe Conference (DATE). Design, Automation & Test in Europe (DATE-2025), March 31 - April 2, Lyon, France, 2025.

  9. Pratyush Agnihotri; Carsten Binnig

    Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing

    In: Volker Markl; Joseph M. Hellerstein; Azza Abouzied (Hrsg.). Companion of the 2025 International Conference on Management of Data, SIGMOD/PODS 2025, Berlin, Germany, June 22-27, 2025. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 7-10, ACM, 2025.

  10. Johannes Wehrstein; Tiemo Bang; Roman Heinrich; Carsten Binnig

    GRACEFUL: A Learned Cost Estimator for UDFs

    In: 41st IEEE International Conference on Data Engineering, ICDE 2025, Hong Kong, May 19-23, 2025. IEEE International Conference on Data Engineering (ICDE), Pages 2450-2463, IEEE, 2025.

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