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  • 2024

    “An Observatory for a Library”: The Significance of Crawford Collection for Science and Culture in Scotland and Beyond

    Vidmar, M. & Moran, K., 29 Nov 2024, Facsimile of the Crawford Collection Catalogue . Edinburgh and Vitanje, 6 p.

    Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

    Open Access
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  • Foreword

    Drysdale, T., 2024, Online Laboratories in Engineering and Technology Education : State of the Art and Trends for the Future. May, D., Auer, M. E. & Kist, A. (eds.). Springer, 5 p. (Lecture Notes in Networks and Systems).

    Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

    Open Access
    File
  • 2022

    Preface

    Cardoso, M. J., Dou, Q., Islam, M., Kamnitsas, K., Koch, L., Rieke, N., Tsaftaris, S. & Xu, Z., 20 Sept 2022, Domain Adaptation and Representation Transfer: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, Vol. 13542 LNCS. p. v-vi (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

  • 2021

    Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: Preface

    Albarqouni, S., Cardoso, M. J., Dou, Q., Kamnitsas, K., Rieke, N., Tsaftaris, S., Xu, D. & Xu, Z., 2021, Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health : Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Springer, Vol. 12968 LNCS. p. v-vi (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

  • 2020

    Preface - Data Analysis for Direct Numerical Simulationsof Turbulent Combustion

    Attili, A. & Pitsch, H., 1 Jan 2020, Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning. Springer, p. i-ix

    Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

  • 2019

    Of Time as an Institution: A speculative-experimental essay

    Vidmar, M., 10 Jul 2019, O. Chizhova, P. & Wright, J. S. (eds.).

    Research output: Chapter in Book/Report/Conference proceedingForeword/postscript