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Tatsuya Daikoku
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2020 – today
- 2024
- [j5]Naoto Yoshida
, Tatsuya Daikoku, Yukie Nagai
Emergence of integrated behaviors through direct optimization for homeostasis. Neural Networks 177: 106379 (2024) - [c1]Yoshia Abe, Tatsuya Daikoku
Quantitative Analysis of Training Methods, Data Size, and User-Specific Effectiveness in DL-Based Personalized Aesthetic Evaluation. PRICAI (1) 2024: 3-15 - [i2]Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi:
Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments. CoRR abs/2403.03594 (2024) - 2023
- [i1]Tatsuya Daikoku:
Shaping the Epochal Individuality and Generality: The Temporal Dynamics of Uncertainty and Prediction Error in Musical Improvisation. CoRR abs/2310.02518 (2023)
2010 – 2019
- 2019
- [j4]Tatsuya Daikoku:
Depth and the Uncertainty of Statistical Knowledge on Musical Creativity Fluctuate Over a Composer's Lifetime. Frontiers Comput. Neurosci. 13: 27 (2019) - [j3]Tatsuya Daikoku:
Tonality Tunes the Statistical Characteristics in Music: Computational Approaches on Statistical Learning. Frontiers Comput. Neurosci. 13: 70 (2019) - 2018
- [j2]Tatsuya Daikoku:
Musical Creativity and Depth of Implicit Knowledge: Spectral and Temporal Individualities in Improvisation. Frontiers Comput. Neurosci. 12: 89 (2018) - [j1]Tatsuya Daikoku:
Entropy, Uncertainty, and the Depth of Implicit Knowledge on Musical Creativity: Computational Study of Improvisation in Melody and Rhythm. Frontiers Comput. Neurosci. 12: 97 (2018)
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