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Roberto Legaspi
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- affiliation: KDDI Research Inc., Japan
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2020 – today
- 2024
- [j11]Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova:
Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach. J. Ambient Intell. Smart Environ. 16(3): 275-308 (2024) - [j10]Roberto Legaspi, Wenzhen Xu
, Tatsuya Konishi, Shinya Wada
The sense of agency in human-AI interactions. Knowl. Based Syst. 286: 111298 (2024) - [c48]Kazuaki Furumai, Roberto Legaspi, Julio Romero, Yudai Yamazaki, Yasutaka Nishimura, Sina J. Semnani, Kazushi Ikeda, Weiyan Shi, Monica S. Lam:
Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. EMNLP (Findings) 2024: 11224-11249 - [c47]Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang:
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. ICLR 2024 - [c46]Akihiro Sasaki, Eriko Sugisaki, Roberto Legaspi, Yasushi Naruse, Nao Kobayashi:
Development of a Prototype AI System for Real-time Emotion Prediction and Mental State Adjustment. PERSUASIVE (Adjunct) 2024: 105-106 - [c45]Ryunosuke Togawa
Estimating Sense of Agency from Behavioral Logs: Toward a Just-in-Time Adaptive Intervention System. PERSUASIVE 2024: 273-286 - [c44]Donghuo Zeng
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. PERSUASIVE 2024: 287-300 - [i4]Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang:
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. CoRR abs/2404.13792 (2024) - [i3]Kazuaki Furumai, Roberto Legaspi, Julio Vizcarra, Yudai Yamazaki, Yasutaka Nishimura, Sina J. Semnani, Kazushi Ikeda, Weiyan Shi, Monica S. Lam:
Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. CoRR abs/2407.03585 (2024) - [i2]Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang:
On the Parameter Identifiability of Partially Observed Linear Causal Models. CoRR abs/2407.16975 (2024) - 2023
- [j9]Yuichi Ishikawa
Physiological Responses to Movies Predict Marital Satisfaction. IEEE Access 11: 94918-94936 (2023) - [c43]Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova:
ALLFA: Active Learning Through Label and Feature Augmentation. ICMLA 2023: 158-165 - [c42]Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova:
Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model. IE 2023: 1-8 - [c41]Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova:
Extraction of Important Temporal Order for eXplainable AI on Time-series data. PerCom Workshops 2023: 659-664 - [c40]Wenzhen Xu
Does the Association Between Persuasive Strategies and Personality Types Vary Across Regions. PERSUASIVE 2023: 359-368 - [c39]Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu:
Time-delayed Multivariate Time Series Predictions. SDM 2023: 325-333 - [c38]Akihiro Kobayashi
Composing Groups in Collaborative Learning by Pair Personality Differences. UMAP 2023: 116-123 - [i1]Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang:
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. CoRR abs/2312.11001 (2023) - 2022
- [j8]Yuichi Ishikawa
Unsupervised Learning of Domain-Independent User Attributes. IEEE Access 10: 119649-119665 (2022) - [c37]Ryoichi Kojima, Roberto Legaspi, Shinya Wada:
Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data. IEEE Big Data 2022: 6547-6552 - [c36]Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. IJCAI 2022: 2189-2195 - [c35]Hao Niu, Chuizheng Meng, Defu Cao
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) 2022: 68-80 - [c34]Wenzhen Xu
The Utility of Personality Types for Personalizing Persuasion. PERSUASIVE 2022: 240-254 - [c33]Roberto Legaspi, Wenzhen Xu
Multidimensional Analysis of Sense of Agency During Goal Pursuit. UMAP 2022: 34-47 - 2021
- [j7]Ryoichi Kojima, Roberto Legaspi, Toshiaki Murofushi
Fuzzy Clustering in Assortative and Disassortative Networks. J. Adv. Comput. Intell. Intell. Informatics 25(6): 989-999 (2021) - [c32]Ryoichi Kojima, Roberto Legaspi, Yutaro Mishima, Shinya Wada:
Classical machine learning and deep neural network ensemble model for GPS-based activity recognition. UbiComp/ISWC Adjunct 2021: 369-373 - [c31]Naoto Takeda, Daisuke Kamisaka, Roberto Legaspi, Yutaro Mishima, Atsunori Minamikawa:
Event Detection and Event-Relevant Tweet Extraction with Human Mobility. MobiQuitous 2021: 3-23 - [c30]Roberto Legaspi, Wenzhen Xu
Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks. PERSUASIVE 2021: 3-18 - [c29]Akihiro Kobayashi
Psychographic Matching between a Call Center Agent and a Customer. UMAP 2021: 229-234
2010 – 2019
- 2015
- [j6]Vanus Vachiratamporn, Roberto Sebastian Legaspi, Koichi Moriyama, Ken-ichi Fukui, Masayuki Numao:
An analysis of player affect transitions in survival horror games. J. Multimodal User Interfaces 9(1): 43-54 (2015) - [c28]Courtney Ngo, Solomon See, Roberto Sebastian Legaspi:
Improving Inertial Navigation Systems with Pedestrian Locomotion Classifiers. PECCS 2015: 202-208 - [c27]Rungsiman Nararatwong, Roberto Sebastian Legaspi, Hitoshi Okada, Hiroshi Maruyama:
A Novel Mental State Model of Social Perception of Brand Crisis from an Entertainment Perspective. SBP 2015: 153-162 - 2014
- [j5]Paul Salvador Inventado
Sidekick: A Tool for Helping Students Manage Behavior in Self-initiated Learning Scenarios. Int. J. Distance Educ. Technol. 12(4): 32-54 (2014) - [c26]Roberto Sebastian Legaspi, Hiroshi Maruyama, Rungsiman Nararatwong, Hitoshi Okada:
Perception-Based Resilience: Accounting for the Impact of Human Perception on Resilience Thinking. BDCloud 2014: 547-554 - 2013
- [j4]Rafael Cabredo, Roberto Sebastian Legaspi, Paul Salvador Inventado, Masayuki Numao:
Discovering Emotion-Inducing Music Features Using EEG Signals. J. Adv. Comput. Intell. Intell. Informatics 17(3): 362-370 (2013) - [c25]Vanus Vachiratamporn, Roberto Sebastian Legaspi, Koichi Moriyama, Masayuki Numao:
Towards the Design of Affective Survival Horror Games: An Investigation on Player Affect. ACII 2013: 576-581 - [c24]Paul Salvador Inventado, Roberto Sebastian Legaspi, Rafael Cabredo, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, Masayuki Numao:
Identification of Effective Learning Behaviors. AIED 2013: 670-673 - [c23]Paul Salvador Inventado, Roberto Sebastian Legaspi, Koichi Moriyama, Masayuki Numao, Jeanine DeFalco, Ryan S. Baker:
An architecture for identifying and using effective learning behavior to help students manage learning. AIED Workshops 2013 - [c22]Paul Salvador Inventado, Roberto Sebastian Legaspi, Rafael Cabredo, Masayuki Numao:
Modeling Affect in Student-driven Learning Scenarios. EDM 2013: 244-247 - [c21]Paul Salvador Inventado, Roberto Sebastian Legaspi, Masayuki Numao:
Helping Students Manage Personalized Learning Scenarios. EDM 2013: 384-386 - [c20]Danaipat Sodkomkham, Roberto Sebastian Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao:
Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors. MSM/MUSE 2013: 131-149 - 2012
- [c19]Rafael Cabredo, Roberto Sebastian Legaspi, Paul Salvador Inventado, Masayuki Numao:
An Emotion Model for Music Using Brain Waves. ISMIR 2012: 265-270 - [c18]Jocelynn Cu, Rafael Cabredo, Roberto Sebastian Legaspi, Merlin Teodosia C. Suarez
On Modelling Emotional Responses to Rhythm Features. PRICAI 2012: 857-860 - [c17]Roman Joseph Aquino, Joshua Rafael Battad, Charlene Frances Ngo, Gemilene Uy, Rhia Trogo, Roberto Sebastian Legaspi, Merlin Teodosia C. Suarez
Towards Providing Music for Academic and Leisurely Activities of Computer Users. PRICAI 2012: 891-894 - 2011
- [c16]Paul Salvador Inventado, Roberto Sebastian Legaspi, Merlin Suarez, Masayuki Numao:
Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online. EDM 2011: 367-368 - [c15]Rafael Cabredo, Roberto Sebastian Legaspi, Masayuki Numao:
Identifying Emotion Segments in Music by Discovering Motifs in Physiological Data. ISMIR 2011: 753-758 - [c14]Roberto Sebastian 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 - [c13]Paul Salvador Inventado
Observatory: A Tool for Recording, Annotating and Reviewing Emotion-Related Data. KSE 2011: 261-265 - [c12]Juan Lorenzo Hagad, Roberto Sebastian 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
- [c11]Roberto Sebastian 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
2000 – 2009
- 2009
- [c10]Masayuki Numao, Takayuki Nishikawa, Toshihito Sugimoto, Satoshi Kurihara, Roberto Sebastian Legaspi:
Constructive Adaptive User Interfaces Based on Brain Waves. HCI (2) 2009: 596-605 - 2008
- [j3]Roberto Sebastian Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao:
Cluster-based predictive modeling to improve pedagogic reasoning. Comput. Hum. Behav. 24(2): 153-172 (2008) - [j2]Toshihito Sugimoto, Roberto Sebastian 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
- [c9]Roberto Sebastian Legaspi, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao:
Music compositional intelligence with an affective flavor. IUI 2007: 216-224 - [c8]Toshihito Sugimoto, Roberto Sebastian 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
- [j1]Roberto Legaspi, Raymund Sison, Masayuki Numao:
A Category-based Framework of a Self-improving Instructional Planner. Inf. Media Technol. 1(1): 482-490 (2006) - [c7]Roberto Sebastian Legaspi, Yuya Hashimoto, Masayuki Numao:
An Emotion-Driven Musical Piece Generator for a Constructive Adaptive User Interface. PRICAI 2006: 890-894 - 2005
- [c6]Roberto Sebastian Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao:
A Cluster-based Predictive Modeling to Improve Pedagogic Reasoning. CELDA 2005: 199-206 - [c5]Roberto Sebastian Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao:
Predicting High-level Student Responses Using Conceptual Clustering. ICCE 2005: 761-764 - 2004
- [c4]Roberto Sebastian Legaspi, Raymund Sison, Masayuki Numao:
Self-Improving Instructional Plans on the Level of Student Categories. ICALT 2004 - [c3]Roberto Sebastian Legaspi, Raymund Sison, Masayuki Numao:
A Category-Based Self-Improving Planning Module. Intelligent Tutoring Systems 2004: 554-563 - [c2]Roberto Sebastian 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
- [c1]Roberto Sebastian Legaspi, Raymund Sison:
A Machine Learning Framework for an Expert Tutor Construction. ICCE 2002: 670-674
Coauthor Index
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last updated on 2024-11-19 20:46 CET by the dblp team
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