| 2008 |
| 9 | EE | Toshihito Sugimoto,
Roberto S. Legaspi,
Akihiro Ota,
Koichi Moriyama,
Satoshi Kurihara,
Masayuki Numao:
Modelling affective-based music compositional intelligence with the aid of ANS analyses.
Knowl.-Based Syst. 21(3): 200-208 (2008) |
| 2007 |
| 8 | EE | Roberto S. Legaspi,
Yuya Hashimoto,
Koichi Moriyama,
Satoshi Kurihara,
Masayuki Numao:
Music compositional intelligence with an affective flavor.
IUI 2007: 216-224 |
| 2006 |
| 7 | EE | Roberto S. Legaspi,
Yuya Hashimoto,
Masayuki Numao:
An Emotion-Driven Musical Piece Generator for a Constructive Adaptive User Interface.
PRICAI 2006: 890-894 |
| 2005 |
| 6 | | Roberto S. Legaspi,
Raymund Sison,
Ken-ichi Fukui,
Masayuki Numao:
A Cluster-based Predictive Modeling to Improve Pedagogic Reasoning.
CELDA 2005: 199-206 |
| 5 | | Roberto S. Legaspi,
Raymund Sison,
Ken-ichi Fukui,
Masayuki Numao:
Predicting High-level Student Responses Using Conceptual Clustering.
ICCE 2005: 761-764 |
| 2004 |
| 4 | | Roberto S. Legaspi,
Raymund Sison,
Masayuki Numao:
Self-Improving Instructional Plans on the Level of Student Categories.
ICALT 2004 |
| 3 | EE | Roberto S. Legaspi,
Raymund Sison,
Masayuki Numao:
A Category-Based Self-Improving Planning Module.
Intelligent Tutoring Systems 2004: 554-563 |
| 2 | EE | Roberto S. Legaspi,
Raymund Sison,
Masayuki Numao:
MSIP: Agents Embodying a Category-Based Learning Process for the ITS Tutor to Self-improve Its Instructional Plans.
PRICAI 2004: 114-123 |
| 2002 |
| 1 | | Roberto S. Legaspi,
Raymund Sison:
A Machine Learning Framework for an Expert Tutor Construction.
ICCE 2002: 670-674 |