Tran Van Dinh

View Scopus Profile

Tran Van Dinh

Assistant Professor

Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
20172024

Research activity per year

  • 14 Article
  • 12 Conference contribution
  • 1 Conference article
Filter
Conference contribution

Search results

  • 2024

    CRISPert: A Transformer-Based Model for CRISPR-Cas Off-Target Prediction

    Jobson Pargeter, W., Backofen, R. & Tran, V. D., 2024, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Proceedings. Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E. & Žliobaitė, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 92-104 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14947 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2020

    Covid-19 Disease Simulation using GAMA platform

    Ban, T. Q., Duong, P. L., Son, N. H. & Dinh, T. V., 8 Oct 2020, 2020 International Conference on Computational Intelligence, ICCI 2020. Institute of Electrical and Electronics Engineers Inc., p. 246-251 6 p. 9247632. (2020 International Conference on Computational Intelligence, ICCI 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 Scopus citations

  • Learning kernel based embeddings in graph neural networks

    Navarin, N., Van Tran, D. & Sperduti, A., 24 Aug 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (eds.). IOS Press BV, p. 1387-1394 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 Scopus citations
  • 2019

    Negative authorization by implementing negative attributes in attribute-based access control model for internet of medical things

    Aftab, M. U., Qin, Z., Hussain, K., Jamali, Z., Son, N. T., Nam, N. V. & Dinh, T. V., Sep 2019, Proceedings - 15th International Conference on Semantics, Knowledge and Grids: On Big Data, AI and Future Interconnection Environment, SKG 2019. Zhuge, H. & Sun, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 167-174 8 p. 9044088. (Proceedings - 15th International Conference on Semantics, Knowledge and Grids: On Big Data, AI and Future Interconnection Environment, SKG 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    6 Scopus citations

  • On the definition of complex structured feature spaces

    Navarin, N., Tran, D. V. & Sperduti, A., 2019, ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (i6doc.com), p. 101-106 6 p. (ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • Survey of hyperledger blockchain frameworks: Case study in FPT university's cryptocurrency wallets

    Ban, T. Q., Anh, B. N., Son, N. T. & Van Dinh, T., 2019, ACM International Conference Proceeding Series. Association for Computing Machinery, p. 472-480 9 p. (ACM International Conference Proceeding Series; vol. Part F147956).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    17 Scopus citations

  • Universal Readout for Graph Convolutional Neural Networks

    Navarin, N., Tran, D. V. & Sperduti, A., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852103. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    32 Scopus citations
  • 2018

    DEEP: Decomposition feature enhancement procedure for graphs

    Van Tran, D., Navarin, N. & Sperduti, A., 2018, ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, p. 391-396 6 p. (ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • On Filter Size in Graph Convolutional Networks

    Tran, D. V., Navarin, N. & Sperduti, A., 2 Jul 2018, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 1534-1541 8 p. 8628758. (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    54 Scopus citations
  • 2017

    Joint neighborhood subgraphs link prediction

    Tran-Van, D., Sperduti, A. & Costa, F., 2017, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Li, Y., Liu, D., Xie, S., El-Alfy, E.-S. M. & Zhao, D. (eds.). Springer Verlag, p. 117-123 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10634 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Link enrichment for diffusion-based graph node kernels

    Tran-Van, D., Sperduti, A. & Costa, F., 2017, Artificial Neural Networks and Machine Learning – ICANN 2017 - 26th International Conference on Artificial Neural Networks, Proceedings. Lintas, A., Villa, A. E., Rovetta, S. & Verschure, P. F. (eds.). Springer Verlag, p. 155-162 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10614 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • The conjunctive disjunctive node kernel

    Van, D. T., Sperduti, A. & Costa, F., 2017, ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, p. 257-262 6 p. (ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Scopus citations
Your message has successfully been sent.
Your message was not sent due to an error.