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Tsegaye Tashu, PhD

  • Nijenborgh9

    9747 AG Groningen

    Netherlands

  • 7 Conference contribution
  • 3 Article
  • 2 Preprint
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Conference contribution

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  • 2024

    A Dynamic Session-Based Recommendation System with Graph Neural Networks

    Mahajan, V., Birihanu, E. & Tashu, T. M., 16-Oct-2024, Information Technologies – Applications and Theory 2024: Proceedings of the 24th Conference Information Technologies – Applications and Theory (ITAT 2024) . Ciencialová, L., Holeňa, M., Jajcay, R., Jajcayová, T., Mačaj, M., Mráz , F., Ostertág, R., Pardubsk, D., Plátek, M. & Stanek, M. (eds.). CEUR Workshop Proceedings, p. 31-36 6 p. (CEUR Workshop Proceedings; vol. 3792).

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

    Open Access
    File
  • 2023

    Course Review Sentiment Analysis: A Comparative Study of Machine Learning and Deep Learning Methods

    Fergan, E. & Tashu, T. M., 17-Jan-2023, Proceedings of the 2023 IEEE International Conference on Behavioural and Social Computing, BESC 2023. Institute of Electrical and Electronics Engineers Inc., 7 p. (Proceedings of the 2023 IEEE International Conference on Behavioural and Social Computing, BESC 2023).

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

    Open Access
    File
    58 Downloads (Pure)

  • Pattern Recognition and Context Prediction of COVID-19 cases in European Countries

    Tosayeva, A., Birihanu, E. & Tashu, T. M., 2023, 23rd Conference Information Technologies - Applications and Theory, ITAT 2023. CEUR Workshop Proceedings, p. 50-57 8 p. (CEUR Workshop Proceedings; vol. 3498).

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

    Open Access
    File
    27 Downloads (Pure)
  • 2022

    Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring

    Tashu, T. M. & Horváth, T., 2022, Intelligent Data Engineering and Automated Learning – IDEAL 2022 - 23rd International Conference, IDEAL 2022, Proceedings. Yin, H., Camacho, D. & Tino, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 12-21 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13756 LNCS).

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

  • 2021

    Attention-Based Multi-modal Emotion Recognition from Art

    Tashu, T. M. & Horváth, T., 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 604-612 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12663 LNCS).

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

    2 Citations (Scopus)

  • Learning Inter-Lingual Document Representations via Concept Compression

    Lenz, M., Tashu, T. M. & Horváth, T., 23-Nov-2021, Intelligent Data Engineering and Automated Learning - 22nd International Conference, IDEAL 2021, Proceedings. Camacho, D., Tino, P., Allmendinger, R., Yin, H., Tallón-Ballesteros, A. J., Tang, K., Cho, S.-B., Novais, P. & Nascimento, S. (eds.). Cham: Springer Science and Business Media Deutschland GmbH, p. 268-276 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13113 LNCS).

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

    1 Citation (Scopus)

  • Linear Concept Approximation for Multilingual Document Recommendation

    Salamon, V. T., Tashu, T. M. & Horváth, T., 23-Nov-2021, Intelligent Data Engineering and Automated Learning - 22nd International Conference, IDEAL 2021, Proceedings. Camacho, D., Tino, P., Allmendinger, R., Yin, H., Tallón-Ballesteros, A. J., Tang, K., Cho, S.-B., Novais, P. & Nascimento, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 147-156 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13113 LNCS).

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

    1 Citation (Scopus)