Category Archives: 未分類

A paper accepted to CVPR 2020

The following paper has been accepted to CVPR 2020!

  • Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang.
    Semantic Correspondence as an Optimal Transport Problem

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

A paper accepted to ECAI 2020

The following paper has been accepted to ECAI 2020!

  • Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
    Topological Bayesian Optimization with Persistence Diagrams.
    In Proceedings of the 24th European Conference on Artificial Intelligence (ECAI), 2020.

Two papers accepted to AISTATS 2020

Two papers accepted to AISTATS 2020!

  • Benjamin Poignard, Makoto Yamada
    Sparse Hilbert-Schmidt Independence Criterion Regression.
    In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
  • Jenning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
    More Powerful Selective Kernel Tests for Feature Selection
    In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)

A paper accepted for ESWA Journal

The following paper about crowdsourcing-based synthetic accessibility assessment of chemical compounds will appear in Expert Systems with Applications

Shun Ito, Yukino Baba, Tetsu Isomura, Hisashi Kashima.
Synthetic Accessibility Assessment Using Auxiliary Responses.
Expert Systems with Applications (ESWA), 2020.

One paper accepted to AAAI 2020

The following paper has been accepted to AAAI 2020.

  • Qiang Huang, TingYu Xia, HuiYan Sun, Makoto Yamada, Yi Chang.
    Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks
    In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.

A paper on chemical network prediction accepted for BMC Bioinformatics

Our paper titled “Dual Graph Convolutional Neural Network for Predicting Chemical Networks” will appear in BMC Bioinformatics.

Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima. Dual Graph Convolutional Neural Network for Predicting Chemical Networks. BMC Bioinformatics (presented at GIW/ABACBS 2019)

Five papers accepted at NeurIPS 2019

Five papers accepted at NeurIPS 2019.

  • Ryoma Sato, Makoto Yamada, Hisashi Kashima.
    Approximation Ratios of Graph Neural Networks for Combinatorial Problems.
    Advances in Neural Information Processing Systems (NeurIPS 2019).
  • Yasutoshi Ida, Yasuhito Fujiwara, Hisashi Kashima.
    Fast Sparse Group Lasso.
    Advances in Neural Information Processing Systems (NeurIPS 2019).
  • Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi.
    Tree-Sliced Variants of Wasserstein Distances.
    Advances in Neural Information Processing Systems (NeurIPS 2019).
  • Jenning Lim, Makoto Yamada, Bernhard Schoelkopf, Wittawat Jitkrittum
    Kernel Stein Tests for Multiple Model Comparison.
    Advances in Neural Information Processing Systems (NeurIPS 2019).
  • Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif.
    Theoretical Evidence for Adversarial Robustness Through Randomization.
    Advances in Neural Information Processing Systems (NeurIPS 2019).

A paper will appear at CIKM 2017

Our paper was accepted for CIKM

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.

Two papers will appear at ICONIP 2017

Two papers were accepted for The 24th International Conference on Neural Information Processing (ICONIP), Guangzhou, China.

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.

Three papers will appear at ECML PKDD 2017

Three papers were accepted for ECML PKDD.

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.

A paper on crowdsourcing quality control will appear at IEEE ICDM 2015

A paper on quality control methods for crowdsourced hierarchical classification tasks has been accepted for 2015 IEEE International Conference on Data Mining (ICDM):
Naoki Otani, Yukino Baba, Hisashi Kashima.
Quality Control for Crowdsourced Hierarchical Classification.
In Proceedings of the 2015 IEEE International Conference on Data Mining (ICDM), Atlantic City, NJ, USA, 2015.

A paper will appear at IEEE DSAA 2015

A paper on crowdsourcing for open data has been accepted for 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA):
Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima.
From One Star to Three Stars: Upgrading Legacy Open Data Using Crowdsourcing.
In Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), Paris, France, 2015.

Two papers on healthcare data mining will appear at SIGKDD 2015

Two papers accepted for ACM SIGKDD 2015.

  • Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Ghosh, Rafiqul Islam, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima.
    Predictive Approaches for Low-cost Preventive Medicine Program in Developing Countries.
    In Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Sydney, Australia, 2015.
  • Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Hiroshi Ikai, Yuichi Imanaka.
    Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care.
    In Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , Sydney, Australia, 2015.