Search Results - "Rellermeyer, Jan S"

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  1. 1

    SGD \Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition by Li, Hao, Li, Zixuan, Li, Kenli, Rellermeyer, Jan S., Chen, Lydia, Li, Keqin

    “…Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a group of factor matrices to obtain an optimal low-rank representation feature for the H…”
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    Journal Article
  2. 2

    Log Parsing Evaluation in the Era of Modern Software Systems by Petrescu, Stefan, Den Hengst, Floris, Uta, Alexandru, Rellermeyer, Jan S.

    “…Due to the complexity and size of modern software systems, the amount of logs generated is tremendous. Hence, it is infeasible to manually investigate these…”
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    Conference Proceeding
  3. 3

    QOMPLIANCE: Declarative Data-Centric Policy Compliance by Oudejans, Daan, Zorin, Anton, Rellermeyer, Jan S.

    “…Data compliance is essential in industry applications to ensure that organizations do not run afoul of data protection and privacy legislation. Geographically…”
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    Conference Proceeding
  4. 4

    Maintaining and Monitoring AIOps Models Against Concept Drift by Poenaru-Olaru, Lorena, Cruz, Luis, Rellermeyer, Jan S., van Deursen, Arie

    “…AIOps solutions enable faster discovery of failures in operational large-scale systems through machine learning models trained on operation data. These models…”
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    Conference Proceeding
  5. 5

    Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques by Poenaru-Olaru, Lorena, Sallou, June, Cruz, Luis, Rellermeyer, Jan S., van Deursen, Arie

    “…Deployed machine learning systems often suffer from accuracy degradation over time generated by constant data shifts, also known as concept drift. Therefore,…”
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    Conference Proceeding
  6. 6

    Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study by Poenaru-Olaru, Lorena, Cruz, Luis, van Deursen, Arie, Rellermeyer, Jan S.

    “…As machine learning models increasingly replace traditional business logic in the production system, their lifecycle management is becoming a significant…”
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    Conference Proceeding
  7. 7

    Systematic Mapping Study on the Machine Learning Lifecycle by Xie, Yuanhao, Cruz, Luis, Heck, Petra, Rellermeyer, Jan S.

    “…The development of artificial intelligence (AI) has made various industries eager to explore the benefits of AI. There is an increasing amount of research…”
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    Conference Proceeding
  8. 8
  9. 9

    An empirical study of the robustness of Inter-component Communication in Android by Maji, A. K., Arshad, F. A., Bagchi, S., Rellermeyer, J. S.

    “…Over the last three years, Android has established itself as the largest-selling operating system for smartphones. It boasts of a Linux-based robust kernel, a…”
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    Conference Proceeding
  10. 10

    Engineering the cloud from software modules by Rellermeyer, Jan S, Duller, Michael, Alonso, Gustavo

    “…Cloud computing faces many of the challenges and difficulties of distributed and parallel software. While the service interface hides the actual application…”
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    Journal Article
  11. 11

    Brug: An Adaptive Memory (Re-)Allocator by Weng, Weikang, Uta, Alexandru, Rellermeyer, Jan S.

    “…Although memory allocation is well-studied, it is far from being a solved problem. There exist many allocators, each offering varied performance depending on…”
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    Conference Proceeding
  12. 12

    Towards a Middleware for Large Language Models by Guran, Narcisa, Knauf, Florian, Ngo, Man, Petrescu, Stefan, Rellermeyer, Jan S

    Published 21-11-2024
    “…Large language models have gained widespread popularity for their ability to process natural language inputs and generate insights derived from their training…”
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    Journal Article
  13. 13

    Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans by Kratochvila, Lukas, de Jong, Gijs, Arkesteijn, Monique, Bilik, Simon, Zemcik, Tomas, Horak, Karel, Rellermeyer, Jan S

    Published 02-08-2024
    “…Digital twins have a major potential to form a significant part of urban management in emergency planning, as they allow more efficient designing of the escape…”
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    Journal Article
  14. 14

    Cloud platforms and embedded computing: the operating systems of the future by Rellermeyer, Jan S., Lee, Seong-Won, Kistler, Michael

    “…The discussion on how to effectively program embedded systems has often in the past revolved around issues like the ideal instruction set architecture (ISA) or…”
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    Conference Proceeding
  15. 15

    Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World by Poenaru-Olaru, Lorena, Karpova, Natalia, Cruz, Luis, Rellermeyer, Jan S., van Deursen, Arie

    “…Anomaly detection techniques are essential in automating the monitoring of IT systems and operations. These techniques imply that machine learning algorithms…”
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    Conference Proceeding
  16. 16

    Log Parsing Evaluation in the Era of Modern Software Systems by Petrescu, Stefan, Hengst, Floris den, Uta, Alexandru, Rellermeyer, Jan S

    Published 17-08-2023
    “…Due to the complexity and size of modern software systems, the amount of logs generated is tremendous. Hence, it is infeasible to manually investigate these…”
    Get full text
    Journal Article
  17. 17

    A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms by van Rijn, Vincent, Rellermeyer, Jan S

    Published 21-10-2021
    “…Proceedings of the 22nd ACM/IFIP International Middleware Conference, 2022 With the ever-increasing pervasiveness of the cloud computing paradigm, strong…”
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    Journal Article
  18. 18

    Systematic Mapping Study on the Machine Learning Lifecycle by Xie, Yuanhao, Cruz, Luís, Heck, Petra, Rellermeyer, Jan S

    Published 11-03-2021
    “…The development of artificial intelligence (AI) has made various industries eager to explore the benefits of AI. There is an increasing amount of research…”
    Get full text
    Journal Article
  19. 19

    Are Concept Drift Detectors Reliable Alarming Systems? -- A Comparative Study by Poenaru-Olaru, Lorena, Cruz, Luis, van Deursen, Arie, Rellermeyer, Jan S

    Published 23-11-2022
    “…As machine learning models increasingly replace traditional business logic in the production system, their lifecycle management is becoming a significant…”
    Get full text
    Journal Article
  20. 20

    System Management with IBM Mobile Systems Remote: A Question of Power and Scale by Rellermeyer, J. S., Osiecki, T. H., Holloway, E. A., Bohrer, P. J., Kistler, M.

    “…The rise of the app revolution has brought small, simple, and affordable software tools to users for mastering mundane tasks with the help of mobile devices…”
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    Conference Proceeding