Author: tago (Page 1 of 2)

On the evening of Saturday, December 5th, the Tago Laboratory hosted its year-end party, which also served as an alumni gathering. A total of 22 participants joined—from third-year professionals to current third-year undergraduates—making it a lively and enjoyable event.

After the dinner party at the restaurant, we held a second gathering back at the lab, where everyone mingled freely across different years. For the current students, it was a great chance to hear valuable insights about job hunting and graduate school from their seniors.

The Thirteenth International Conference on Advanced Cloud and Big Data (CBD 2025) was held at the Ookayama Campus of Institute of Science Tokyo over three days from November 29 to December 1, 2025.

From the Tago Laboratory, one paper by a fourth-year student and one paper by a recent graduate were accepted, and both were presented in front of other researchers. They also joined the conference dinner and other events, gaining valuable experiences.

• S. Ono and K. Tago, “A Three-Class Bot Detection Framework on SNS Based on Behavioral Patterns and Content-News Similarity”

• Y. Sekine and K. Tago, “Weighted Consensus Framework for SNS Emotion Classification Based on LLM Reliability”

From September 1st to 2nd, the Tago Lab held our annual seminar retreat. We stayed at the university’s training center in Onjuku, where we enjoyed group work sessions and a barbecue, deepening our friendships while having fun. At night, we even set off fireworks on the beach, which seemed to create some great memories for everyone.

On Thursday, July 31, 2025, the midterm presentation session for graduation research was held. Twelve students from the Tago Laboratory gave their presentations, and we are happy to report that all of them passed successfully. Let’s keep up the good work for the remaining six months! 😊

The degree conferment ceremony was held at Makuhari Arena on Saturday, March 22, 2025. From the Tago Laboratory, three master’s students and nine undergraduate students graduated. Some of them also participated in the graduation celebration party in the evening, where they had the opportunity to strengthen their bonds.

We wish everyone the best as they embark on their careers starting in April!

The Master’s Thesis Presentation took place on January 28, 2025 (Tuesday). Each presentation lasted 20 minutes, followed by a 10-minute Q&A session. Despite the lengthy format, the three Master’s students from the Tago Lab were able to present without any issues

These are the first Master’s graduates from Tago Lab, marking a significant milestone. We wish them all the best in their future endeavors in society!

On January 21, 2025 (Tuesday), the graduation research presentation for the Department of Network and Information Sciences took place. Nine students from the Tago Laboratory presented their research, and they successfully completed their presentations, including the Q&A sessions.

The results of their year-long graduation research were recognized, and they all passed without any issues, including their presentations. Congratulations to everyone!

The Tago Lab Year-End Party & Alumni Gathering was held on Saturday, December 21, from 3:00 PM to 5:00 PM in Funabashi. A total of 12 participants, including 6 alumni who kindly made time to join us and 6 current students, came together to share updates and enjoy casual conversations.

The second round of the gathering continued at the lab, where we had the pleasure of enjoying drinks and lively discussions, spiced up by stories shared by alumni working at Konami and DeNA. The event also welcomed alumni from Nakagawa Lab and current members of Takahashi Lab, leading to animated discussions, including some lighthearted talks about relationships. It was a relaxed and enjoyable evening for all.

We look forward to seeing everyone again next year!

The following paper has been accepted for publication in the Journal of Decision Systems, an international journal. This paper explores the characteristics of ChatGPT in emotion evaluation and investigates methods for combining it with traditional machine learning techniques.

• Yusuke Sekine, Seiji Kasuya, Kiichi Tago, “Improving Emotion Estimation Through a Combination of ChatGPT and Deep Learning,” Journal of Decision Systems, Taylor & Francis, 2024. (in press)

The 14th IEEE International Conference on Information Technology in Medicine and Education (ITME2024), an international conference, was held from September 13 to 15, 2024.

Mr. Suzuki, a second-year master’s student from our lab, gave an online presentation and excellently introduced his research in English.

• Y. Suzuki, Y. Sekine. K. Tago, “Analysing Relaxation Effects Through Natural Experiences Using Natural Sounds and VR Devices,” 14th International Conference on Information Technology in Medicine and Education (ITME2024). (Accepted)