Publication

2018

Journal

  • Kishan Wimarawarne, Makoto Yamada, Hiroshi Mamitsuka.
    Convex Coupled Matrix and Tensor Completion.
    Neural Computation, 2018, to appear.
  • Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha,  Avishek Saha, Hua Ouyang,  Dawei Yin, Hiroshi Mamitsuka, Cenk Sahinalp, Predrag Radivojac, Philipo Menczer, Yi Chang.
    Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
  • Yue Wang, Dawei Yin, Roger Jie Luo, Penguyan Wnag, Makoto Yamada, Yi Chang, Qiaozhu Mei.
    Optimizing Whole-Page Presentation for Web Search.
    ACM Transactions on the Web (TWEB), 2018.
  • Yukino Baba, Tetsu Isomura, Hisashi Kashima.
    Wisdom of Crowds for Synthetic Accessibility Evaluation.
    Journal of Molecular Graphics and Modelling, Vol.80, pp.217-223, 2018.
  • Atsuto Seko, Hiroyuki Hayashi, Hisashi Kashima, Isao Tanaka.
    Matrix- and Tensor-based Recommender Systems for the Discovery of Currently Unknown Inorganic Compounds.
    Physical Review Materials, Vol.2, No.1, 2018.
  • Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Junichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima.
    Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-Vehicle Network.
    Journal of Information Processing, 2018.

International Conference

  • Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima.
    BayesGrad: Explaining Predictions of Graph Convolutional Networks.
    In Proceedings of the 25th International Conference on Neural Information Processing (ICONIP), 2018.
  • Ryoma Sato, Takehiro Yamamoto, Hisashi Kashima.
    Short-term Precipitation Prediction with Skip-connected PredNet.
    In Proceedings of the 27th International Conference on Artificial Neural Networks (ICANN), 2018.
  • Jiyi Li, Hisashi Kashima.
    Incorporating Worker Similarity for Label Aggregation in Crowdsourcing.
    In Proceedings of the 27th International Conference on Artificial Neural Networks (ICANN), 2018.
  • Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi.
    Post Selection Inference with Kernels.
    In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.
  • Jiyi Li, Yukino Baba, Hisashi Kashima.
    Simultaneous Clustering and Ranking from Pairwise Comparisons.
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), pp.XX-XX, 2018.
  • Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima.
    On Reducing Dimensionality of Labeled Data Efficiently.
    In Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018.
  • Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Junichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima.
    Payload-based Statistical Intrusion Detection for In-vehicle Networks.
    In Proceedings of the Australian Workshop on Machine Learning for Cyber-security (co-located with PAKDD 2018), 2018
  • Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima.
    AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling.
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.
  • Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima.
    Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges.
    In Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI), 2018.
  • Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo.
    Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests
    In Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI), 2018.

2017

Journal

International Conference

  • 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), 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, 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, 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.

2016

Journal

International Conference

Others


2015

Journal

International Conference


2014

Journal

International Conference


Please see here for publications before March, 2014.