No photo of Shailesh Tripathi
  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20122021

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  • 2021

    A network based approach for reducing variant diversity in production planning and control

    Tripathi, S., Strasser, S. & Jodlbauer, H., 2021, Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021. Quix, C., Hammoudi, S. & van der Aalst, W. (eds.). SciTePress, p. 241-251 11 p. (Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021).

    Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

    Open Access
  • 2019

    Approaches to identify relevant process variables in injection moulding using beta regression and SVM

    Tripathi, S., Strasser, S., Mittermayr, C., Dehmer, M. & Jodlbauer, H., 2019, DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications. Hammoudi, S., Quix, C. & Bernardino, J. (eds.). SciTePress, p. 233-242 10 p. (DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications).

    Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

    Open Access
    1 Citation (Scopus)
  • Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes

    Strasser, S., Zenisek, J., Tripathi, S., Schimpelsberger, L. & Jodlbauer, H., 2019, Data Management Technologies and Applications - 7th International Conference, DATA 2018, Revised Selected Papers. Quix, C. & Bernardino, J. (eds.). Springer, p. 50-68 19 p. (Communications in Computer and Information Science; vol. 862).

    Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

    1 Citation (Scopus)
  • 2018

    An Approach for Adaptive Parameter Setting in Manufacturing Processes

    Straßer, S., Tripathi, S. & Kerschbaumer, R., 2018, DATA 2018 - Proceedings of the 7th International Conference on Data Science, Technology and Applications. Bernardino, J. & Quix, C. (eds.). p. 24-32 9 p. (DATA 2018 - Proceedings of the 7th International Conference on Data Science, Technology and Applications).

    Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

    Open Access
    5 Citations (Scopus)
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