News

Updates in 2018

It’s been a while since I posted last time. Now that we are looking at the year-end holiday season, I’m giving here some updates for the year of 2018.

  • Blockchain
    • I was involved in a research project on Blockchain this year. I was curious what kind of people were working on it. Unfortunately, I didn’t get many collaboration opportunities, but I was able to finish two papers on a new framework of Blockchain (one has been accepted as a workshop paper, the other is under review).
  • Probabilistic tensor regression model
    • My paper on probabilistic tensor regression has been accepted to AAAI-19. A major application I described in the paper is an excursion analysis of semiconductor etching tool, which came out of a customer engagement last year.

IEEE Trans. ITS paper published

My paper on an image-based traffic estimation method has just been published. Let me cite a part of my email sent to the project members and managers:

It’s been more than five years since we started this project in Japan. When Katsuki-san, a new hire at TRL at that time, started looking at traffic images at accessKenya.com, no one imagined that this project would receive global attention in a year or so. It was way before IBM started the extensive campaign on Cognitive Computing. I’m glad to see that this project has become one of the major activities at Africa Lab. It was one of the most exciting projects in my life.

In the project page, you can find some more information on the project.

T. Idé, T. Katsuki, T. Morimura and R. Morris, “City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras,” IEEE Transactions on Intelligent Transportation Systems, 18 (2017) 950-959.

@Article{Ide2017IEEETrans,
author=”Tsuyoshi Id{\’e} and Takayuki Katsuki and Tetsuro Morimura and Robert Morris”,
title=”City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras”,
journal=”IEEE Transactions on Intelligent Transportation Systems”,
year=”2017″,
volume=”18″,
number=”4″,
pages=”950–959″,
}

KAIS paper just published

My paper on questionnaire data analysis has just come out. This paper is the first paper to propose an supervised extension of the Item Response Theory, which is an interesting probabilistic model developed in the area of psychometrics.

Tsuyoshi Idé and Amit Dhurandhar, “Supervised item response models for informative prediction,” Knowledge and Information Systems, 51 (2017) 235-257.

@Article{Ide2017KAIS,
author=”Tsuyoshi Id{\’e} and Amit Dhurandhar”,
title=”Supervised item response models for informative prediction”,
journal=”Knowledge and Information Systems”,
year=”2017″,
volume=”51″,
number=”1″,
pages=”235–257″,
}