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

Research activity per year

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  • 2021

    End-to-End Learning for Prediction and Optimization with Gradient Boosting

    Konishi, T. & Fukunaga, T., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 191-207 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12459 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2019

    Stochastic submodular maximization with performance-dependent item costs

    Fukunaga, T., Konishi, T., Fujita, S. & Kawarabayashi, K. I., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, p. 1485-1494 10 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2016

    Extracting search query patterns via the pairwise coupled topic model

    Konishi, T., Ohwa, T., Fujita, S., Ikeda, K. & Hayashi, K., Feb 8 2016, WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 655-664 10 p. (WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    4 Citations (Scopus)
  • 2013

    Topic model for user reviews with adaptive windows

    Konishi, T., Kimura, F. & Maeda, A., 2013, Advances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Proceedings. p. 730-733 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7814 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2012

    Estimating aspects in online reviews using topic model with 2-level learning

    Konishi, T., Tezuka, T., Kimura, F. & Maeda, A., 2012, International MultiConference of Engineers and Computer Scientists, IMECS 2012. Newswood Limited, p. 528-533 6 p. (Lecture Notes in Engineering and Computer Science; vol. 2195).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)