 | 2011 |
| 18 |  | Paul Salvador Inventado,
Roberto S. Legaspi,
Merlin Suarez,
Masayuki Numao:
Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online.
EDM 2011: 367-368 |
| 17 |  | Rafael Cabredo,
Roberto S. Legaspi,
Masayuki Numao:
Identifying Emotion Segments in Music by Discovering Motifs in Physiological Data.
ISMIR 2011: 753-758 |
| 16 |  | Roberto S. Legaspi,
Akinobu Ueda,
Rafael Cabredo,
Takayuki Nishikawa,
Ken-ichi Fukui,
Koichi Moriyama,
Satoshi Kurihara,
Masayuki Numao:
Exploring Melodic Motif to Support an Affect-Based Music Compositional Intelligence.
KSE 2011: 219-225 |
| 15 |  | Paul Salvador Inventado,
Roberto S. Legaspi,
Masayuki Numao,
Merlin Suarez:
Observatory: A Tool for Recording, Annotating and Reviewing Emotion-Related Data.
KSE 2011: 261-265 |
| 14 |  | Juan Lorenzo Hagad,
Roberto S. Legaspi,
Masayuki Numao,
Merlin Suarez:
Predicting Levels of Rapport in Dyadic Interactions through Automatic Detection of Posture and Posture Congruence.
SocialCom/PASSAT 2011: 613-616 |
| 2010 |
| 13 |  | Roberto S. Legaspi,
Ken-ichi Fukui,
Koichi Moriyama,
Satoshi Kurihara,
Masayuki Numao,
Merlin Suarez:
Addressing the problems of data-centric physiology-affect relations modeling.
IUI 2010: 21-30 |
| 2009 |
| 12 |  | Masayuki Numao,
Takayuki Nishikawa,
Toshihito Sugimoto,
Satoshi Kurihara,
Roberto S. Legaspi:
Constructive Adaptive User Interfaces Based on Brain Waves.
HCI (2) 2009: 596-605 |
| 2008 |
| 11 |  | Roberto S. Legaspi,
Raymund Sison,
Ken-ichi Fukui,
Masayuki Numao:
Cluster-based predictive modeling to improve pedagogic reasoning.
Computers in Human Behavior 24(2): 153-172 (2008) |
| 10 |  | 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 |
| 9 |  | Roberto S. Legaspi,
Yuya Hashimoto,
Koichi Moriyama,
Satoshi Kurihara,
Masayuki Numao:
Music compositional intelligence with an affective flavor.
IUI 2007: 216-224 |
| 8 |  | 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.
SGAI Conf. 2007: 95-108 |
| 2006 |
| 7 |  | 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: 0- |
| 3 |  | Roberto S. Legaspi,
Raymund Sison,
Masayuki Numao:
A Category-Based Self-Improving Planning Module.
Intelligent Tutoring Systems 2004: 554-563 |
| 2 |  | 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 |