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 |