Tatsuya Daikoku

According to our database, Tatsuya Daikoku authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Emergence of integrated behaviors through direct optimization for homeostasis.

Naoto Yoshida, Tatsuya Daikoku, Yukie Nagai, Yasuo Kuniyoshi

Neural Networks, 2024

Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments.

Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi

CoRR, 2024

Quantitative Analysis of Training Methods, Data Size, and User-Specific Effectiveness in DL-Based Personalized Aesthetic Evaluation.

Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2023

Shaping the Epochal Individuality and Generality: The Temporal Dynamics of Uncertainty and Prediction Error in Musical Improvisation.

Tatsuya Daikoku

CoRR, 2023

2019

Tonality Tunes the Statistical Characteristics in Music: Computational Approaches on Statistical Learning.

Tatsuya Daikoku

Frontiers Comput. Neurosci., 2019

Depth and the Uncertainty of Statistical Knowledge on Musical Creativity Fluctuate Over a Composer's Lifetime.

Tatsuya Daikoku

Frontiers Comput. Neurosci., 2019

2018

Entropy, Uncertainty, and the Depth of Implicit Knowledge on Musical Creativity: Computational Study of Improvisation in Melody and Rhythm.

Tatsuya Daikoku

Frontiers Comput. Neurosci., 2018

Musical Creativity and Depth of Implicit Knowledge: Spectral and Temporal Individualities in Improvisation.

Tatsuya Daikoku

Frontiers Comput. Neurosci., 2018