研究成果

2017

ジャーナル

国際会議

  • Koh Takeuchi, Hisashi Kashima, Naonori Ueda.
    Autoregressive Tensor Factorization for Spatio-temporal Predictions.
    In Proceedings of the 2017 IEEE International Conference on Data Mining (ICDM), pp.XXX-XXX, New Orleans, USA, 2017.
  • Jiyi Li, Yukino Baba, Hisashi Kashima.
    Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing.
    In Proceeding of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017.
  • Hirotaka Akita, Yukino Baba, Hisashi Kashima and Atsuto Seko.
    Atomic Distance Kernel for Material Property Prediction.
    In Proceeding of the 24th International Conference on Neural Information Processing (ICONIP), 2017.
  • Kosuke Yoshimura, Yukino Baba and Hisashi Kashima.
    Quality Control for Crowdsourced Multi-Label Classification using RAkEL.
    In Proceeding of the 24th International Conference on Neural Information Processing (ICONIP), 2017.
  • Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa.
    Distributed Multi-task Learning for Sensor Network.
    In Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2017.
  • Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima.
    Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies.
    In Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2017.
  • Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata.
    Structurally Regularized Non-negative Tensor Factorization for Spatio-temporal Pattern Discoveries.
    In Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2017.
  • Yukihiro Tagami.
    AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification.
    In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
  • Yukihiro Tagami.
    Learning Extreme Multi-label Tree-classifier via Nearest Neighbor Graph Partitioning.
    In the 26th International Conference on World Wide Web Companion (WWW), 2017.
  • Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi Kashima.
    A Generalized Model for Multidimensional Intransitivity.
    In Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2017.
  • Takeru Sunahase, Yukino Baba, Hisashi Kashima.
    Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process.
    In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2017.
  • Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka.
    Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU.
    In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2017.
  • Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno.
    Predicting Fuel Consumption and Flight Delays for Low-cost Airlines.
    In Proceedings of the 29th Conference on Innovative Applications of Artificial Intelligence (IAAI), 2017.

国内会議・研究会

2016

ジャーナル

国際会議


国内会議・研究会

その他


2015

ジャーナル

国際会議


国内会議・研究会

その他

2014

ジャーナル


国際会議


国内会議・研究会

その他


2014年3月以前(当研究室発足以前)の研究業績についてはこちらもご覧ください。