IIAI AAI 2023 Winter Congress, Competitive Paper Award,Factor Extraction of Preference in Musical Performances Using AIME with Focus on Time-Series Derivative FeaturesAyako Minematsu Takafumi Nakanishi
2022年7月
12th IIAI International Congress on Advanced Applied Informatics, Honorable Mention Award,Music Recommendation Method for Time-Series Emotions from Lyrics using Valence-Arousal-Dominance ModelH. Nakata T. Nakanishi
2021年7月
10th IEEE/IIAI International Congress on Applied Information Technology (IEEE/IIAI 2021), Honorable Mention Award,Musical Impression Extraction Method by Discovering Relationships between Acoustic Features and Impression TermsA. Yanase T. Nakanishi
2020年12月
3rd IEEE/IIAI International Congress on Applied Information Technology (IEEE/IIAI AIT 2020), Best Paper Award,Finger Character Recognition in Sign Language Using Finger Feature Knowledge Base for Similarity MeasureT. Nitta S. Hagimoto A. Yanase T. Nakanishi R. Okada V. Sornlertlamvanich
2019年12月
IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Best Paper Candidates,Topic Variation Detection Method for Detecting Political Business Cycles.S. Kato T. Nakanishi H. Shimauchi B. Ahsan
T. Nakanishi, K. Uchimoto, Y. Kidawara(担当:共著, 範囲:Toward Realizing Meta Social Media Contents Management System in Big Data, Social Media Prospects, Chapter 4)
Yuta Ishii   Aiha Ikegami   Takafumi Nakanishi   
EPiC Series in Computing 81 362-372 2022年9月 [査読有り]
In this paper, we present a realization method of discovery for burst topic transition using the topic change point detection method for time-series text data. In our method, we focus on the topic change point detection method for time-series text...
In this paper, we present an emotion estimation method using heart rate variability parameters of vital data. Recently, as sensors have become more precise and smaller, it has been possible to obtain users' vital data in real-time quickly. In our ...