New Members of April 2017
Our lab. welcomes 4 new graduate students and 2 new undergraduate students this month! The member list has been updated. http://www.miubiq.cs.titech.ac.jp/member-list/
Our lab. welcomes 4 new graduate students and 2 new undergraduate students this month! The member list has been updated. http://www.miubiq.cs.titech.ac.jp/member-list/
The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) will be held February 4–9 at the Hilton San Francisco, San Francisco, California, USA. The following oral / poster presentation will be…
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2016) will be held at Riva del Garda, Italy, during September 19–23, 2016. The following oral…
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) will be held in Heidelberg, Germany from Sep. 12-16. The following oral presentation will be delivered by Tatsuya Konishi…
The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) will be held in Heidelberg, Germany from Sep. 12-16. The following oral presentation will be delivered. Thanks…
Our lab. welcomes 3 new graduate students and 4 new undergraduate students this month! The member list has been updated. http://www.miubiq.cs.titech.ac.jp/member-list/
Our paper on Wireless indoor localization with sensor placement optimization has been published in Advanced Robotics. We propose an system installation scenario for wireless indoor localization systems and a flexible…
We proudly presented our work on forecasting urban dynamics (daily people flow in a city) with mobility logs at The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp…
We proudly presented our work on social relationship extraction using pedometers (e.g. FitBit) on The 19th International Symposium on Wearable Computers (ISWC 2015) held on September 2015, Osaka, Japan. We have…
Our project page “Modeling risk anticipation and defensive driving on residential roads using inverse reinforcement learning” has been renewed thanks to our advances presented in the last IV2015 (2015 IEEE…
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