Matthias Scheutz

Search results

• 2024

  A Neurosymbolic Cognitive Architecture Framework for Handling Novelties in Open Worlds

  Goel, S., Lymperopoulos, P., Thielstrom, R., Krause, E., Feeney, P., Lorang, P., Schneider, S. A., Wei, Y., Kildebeck, E., Goss, S., Hughes, M. C., Liu, L., Sinapov, J. & Scheutz, M., Jun 2024, In: Artificial Intelligence. 331, 29 p., 104111.

  Research output: Contribution to journal › Article › peer-review

  • Artificial Intelligence 100%
  • Cognitive Architecture 100%
  • Architecture Framework 100%
  • Machine Learning 50%
  • Reinforcement Learning 50%
• 2023

  Encoding semantic attributes - Towards explainable AI in industry

  Schneider, S. A., Antensteiner, D., Soukup, D. & Scheutz, M., 10 Aug 2023, PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments. Association for Computing Machinery (ACM), p. 518–527 10 p.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

  • Confusion Matrix 100%

• Encoding semantic properties - Unveiling explainable AI for industrial inspection

  Schneider, S. A., Antensteiner, D. (Speaker), Soukup, D. & Scheutz, M., 25 Oct 2023.

  Research output: Poster presentation without proceedings

• NovelCraft: A dataset for novelty detection and discovery in Open Worlds

  Feeney, P., Schneider, S. A., Lymperopoulos, P., Liu, L.-P., Scheutz, M. & Hughes, M. C., 11 Apr 2023, In: Transactions on Machine Learning Research. 3

  Research output: Contribution to journal › Article › peer-review

  • False Positive 100%
  • Symbolic Information 100%
  • 3d Scenes 100%
  • Visual Informations 100%
• 2022

  Analysis of Future Potential of Autoencoders in Industrial Defect Detection

  Schneider, S. A. (Speaker), Antensteiner, D., Soukup, D. & Scheutz, M., 2022, Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. p. 282-289 8 p.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

• Autoencoders - A comparative Analysis in the Realm of Anomaly Detection

  Schneider, S. A. (Speaker), Antensteiner, D., Soukup, D. & Scheutz, M., 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). p. 1985-1991 7 p.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

• NovelCraft: A Dataset for Novelty Detection and Discovery in OpenWorlds

  Feeney, P., Schneider, S. A., Lymperopoulos, P., Liu, L., Scheutz, M. & Hughes, M. C., 2022, In: arXiv. 1, p. 1-19 19 p.

  Research output: Contribution to journal › Article

  Open Access

• Speeding-up Continual Learing through Information Gains in Novel Experiences

  Lorang, P. (Speaker), Goel, S., Zips, P., Sinapov, J. & Scheutz, M., 2022, Bridging the Gap Between AI Planning and Reinforcement Learning. 1 p.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review