Roberto Legaspi - researchr alias

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Viewing Publication 1 - 38 from 38

2026

Sample-Level Prototypical Federated LearningChuizheng Meng, Jianke Yang, Hao Niu 0001, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu 0002. pami, 48(2):1133-1144, February 2026. [doi]

Personality-Aware Reinforcement Learning for Persuasive Dialogue with LLM-Driven SimulationDonghuo Zeng, Roberto Legaspi, Kazushi Ikeda. persuasive 2026: 451-466 [doi]

2025

2024

Mixture of Projection Experts for Multivariate Long-Term Time Series ForecastingHao Niu 0001, Guillaume Habault, Defu Cao, Yizhou Zhang, Roberto Legaspi, Huy Quang Ung, James Enouen, Shinya Wada, Chihiro Ono, Atsunori Minamikawa, Yan Liu 0002. icmla 2024: 1798-1803 [doi]

A Versatile Causal Discovery Framework to Allow Causally-Related Hidden VariablesXinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang 0001. iclr 2024: [doi]

On the Parameter Identifiability of Partially Observed Linear Causal ModelsXinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang 0001. nips 2024: [doi]

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information RetrievalKazuaki Furumai, Roberto Legaspi, Julio Romero, Yudai Yamazaki, Yasutaka Nishimura, Sina J. Semnani, Kazushi Ikeda, Weiyan Shi, Monica S. Lam. emnlp 2024: 11224-11249 [doi]

The sense of agency in human-AI interactionsRoberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Nao Kobayashi, Yasushi Naruse, Yuichi Ishikawa. kbs, 286:111298, 2024. [doi]

Development of a Prototype AI System for Real-time Emotion Prediction and Mental State AdjustmentAkihiro Sasaki, Eriko Sugisaki, Roberto Legaspi, Yasushi Naruse, Nao Kobayashi. persuasive 2024: 105-106 [doi]

Identifying Latent State-Transition Processes for Individualized Reinforcement LearningYuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang. nips 2024: [doi]

Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approachNaoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova. jaise, 16(3):275-308, 2024. [doi]

Estimating Sense of Agency from Behavioral Logs: Toward a Just-in-Time Adaptive Intervention SystemRyunosuke Togawa, Roberto Legaspi, Yasutaka Nishimura, Akihiro Miyamamoto, Bo Yang, Eriko Sugisaki, Kazushi Ikeda, Nao Kobayashi, Yasushi Naruse. persuasive 2024: 273-286 [doi]

2023

Physiological Responses to Movies Predict Marital SatisfactionYuichi Ishikawa, Nao Kobayashi, Roberto Legaspi, Kae Nakajima, Yasushi Naruse. access, 11:94918-94936, 2023. [doi]

Composing Groups in Collaborative Learning by Pair Personality DifferencesAkihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka, Roberto Legaspi. um 2023: 116-123 [doi]

ALLFA: Active Learning Through Label and Feature AugmentationYasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova. icmla 2023: 158-165 [doi]

Extraction of Important Temporal Order for eXplainable AI on Time-series dataYasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova. percom 2023: 659-664 [doi]

Time-delayed Multivariate Time Series PredictionsHao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu 0002. sdm 2023: 325-333 [doi]

Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language ModelNaoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova. intenv 2023: 1-8 [doi]

Does the Association Between Persuasive Strategies and Personality Types Vary Across RegionsWenzhen Xu, Roberto Legaspi, Yuichi Ishikawa. persuasive 2023: 359-368 [doi]

2022

Unsupervised Learning of Domain-Independent User AttributesYuichi Ishikawa, Roberto Legaspi, Kei Yonekawa, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa. access, 10:119649-119665, 2022. [doi]

Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow DataRyoichi Kojima, Roberto Legaspi, Shinya Wada. bigdataconf 2022: 6547-6552 [doi]

Multidimensional Analysis of Sense of Agency During Goal PursuitRoberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Yuichi Ishikawa. um 2022: 34-47 [doi]

Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal DataChuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu. IJCAI 2022: 2189-2195 [doi]

Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term PredictionHao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu. pakdd 2022: 68-80 [doi]

The Utility of Personality Types for Personalizing PersuasionWenzhen Xu, Yuichi Ishikawa, Roberto Legaspi. persuasive 2022: 240-254 [doi]

2021

2013

Towards Building Incremental Affect Models in Self-Directed Learning ScenariosPaul Salvador Inventado, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Masayuki Numao. ICCE 2013: [doi]

2012

Student Learning Behavior in an Unsupervised Learning EnvironmentPaul Salvador Inventado, Roberto Legaspi, Rafael Cabredo, Masayuki Numao. ICCE 2012: [doi]

Aiding Digital Natives Learn Positive Learning Behaviors through ReflectionRoberto Legaspi, Paul Salvador Inventado, Rafael Cabredo, Masayuki Numao. ICCE 2012: [doi]

2011

Predicting Student Emotions Resulting from Appraisal of its FeedbackPaul Salvador Inventado, Roberto Legaspi, Merlin Suarez, Masayuki Numao. rptel, 6(2):107-133, 2011. [doi]

Investigating Transitions in Affect and Activities for Online Learning InterventionsPaul Salvador Inventado, Roberto Legaspi, Merlin Suarez, Masayuki Numao. ICCE 2011: [doi]

2010

Predicting Student's Appraisal of Feedback in an ITS Using Previous Affective States and Continuous Affect Labels from EEG DataPaul Salvador Inventado, Roberto Legaspi, The Duy Bui, Merlin Suarez. ICCE 2010: [doi]

2006

A Category-based Framework of a Self-improving Instructional PlannerRoberto Legaspi, Raymund Sison, Masayuki Numao. imt, 1(1):482-490, 2006. [doi]

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2026

2025

2024

2023

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2012

2011

2010

2006

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