Two papers were accepted for DSAA 2020:

Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima.
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport.
In Proceedings of the the 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2020.

Hitoshi Kusano, Yuji Horiguchi, Yukino Baba and Hisashi Kashima.
Stress Prediction from Head Motion.
In Proceedings of the the 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2020.

A paper proposing a method to organize and prioritize many ideas using crowdsourcing was accepted for HCOMP 2020:
Yukino Baba, Jiyi Li, Hisashi Kashima.
CrowDEA: Multi-view Idea Prioritization with Crowds.
In Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2020.

A paper on a semi-supervised estimation method for causal effect prediction was accepted for ECML PKDD:
Shounosuke Harada, Hisashi Kashima
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation.
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2020.

A paper on fast deterministic algorithms for CUR matrix decomposition was accepted for International Conference on Machine Learning (ICML):
Yasutoshi Ida, Sekitoshi Kanai,Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.
In Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

A paper on crowdsourcing aggregation is accepted for International Joint Conference on Artificial Intelligence (IJCAI):
Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima.
Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization.
In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020.

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.

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)

Two papers were accepted at ACML 2019.

• • Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima.
    Active Change-Point Detection.
    In Proceedings of Asian Conference on Machine Learning (ACML), 2019.
  • Ryoma Sato, Makoto Yamada, Hisashi Kashima.
    Learning to Sample Hard Instances for Graph Algorithms.
    In Proceedings of Asian Conference on Machine Learning (ACML), 2019.

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 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 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 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 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.

Jiuding Duan, Atsuto Seko, Hisashi Kashima.
Quantum Energy Prediction Using Graph Kernel.
In Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), Hong Kong, China, 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.

The tutorial slides for our PAKDD 2015 tutorial “Crowdsourcing for Big Data Analytics” are found here.