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Legaspi, Roberto S.
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1

Counterfactual Reasoning Using Predicted Latent Personality..:

, In: Persuasive Technology; Lecture Notes in Computer Science,
Zeng, Donghuo ; Legaspi, Roberto S. ; Sun, Yuewen... - p. 287-300 , 2024
Link: https://doi.org/10.1007/..
 
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2

An Emotion Model for Music Using Brain Waves:

Rafael Cabredo ; Roberto S. Legaspi ; Paul Salvador Inventado.
doi:10.5281/zenodo.1416397.  , 2012
Link: https://zenodo.org/recor..
 
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3

Identifying Emotion Segments in Music by Discovering Motifs..:

Rafael Cabredo ; Roberto S. Legaspi ; Masayuki Numao
doi:10.5281/zenodo.1416871.  , 2011
Link: https://zenodo.org/recor..
 
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4

Clustering of students admission data using k-means, hierar..:

Cahapin, Erwin Lanceta ; Malabag, Beverly Ambagan ; Santiago Jr., Cereneo Sailog...
Bulletin of Electrical Engineering and Informatics.  12 (2023)  6 - p. 3647-3656 , 2023
Link: https://doi.org/10.11591..
 
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5

Estimating Sense of Agency from Behavioral Logs: Toward a J..:

, In: Persuasive Technology; Lecture Notes in Computer Science,
Togawa, Ryunosuke ; Legaspi, Roberto ; Nishimura, Yasutaka... - p. 273-286 , 2024
Link: https://doi.org/10.1007/..
 
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6

The sense of agency in human–AI interactions:

Legaspi, Roberto ; Xu, Wenzhen ; Konishi, Tatsuya...
Knowledge-Based Systems.  286 (2024)  - p. 111298 , 2024
Link: https://doi.org/10.1016/..
 
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7

Composing Groups in Collaborative Learning by Pair Personal..:

, In: Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization,
Kobayashi, Akihiro ; Ishikawa, Yuichi ; Ikeda, Kazushi.. - p. 116-123 , 2023
Link: https://dl.acm.org/doi/1..
 
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8

Sensor Event Sequence Prediction for Proactive Smart Home S..:

, In: 2023 19th International Conference on Intelligent Environments (IE),
Takeda, Naoto ; Legaspi, Roberto ; Nishimura, Yasutaka... - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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9

Does the Association Between Persuasive Strategies and Pers..:

, In: Persuasive Technology; Lecture Notes in Computer Science,
Xu, Wenzhen ; Legaspi, Roberto ; Ishikawa, Yuichi - p. 359-368 , 2023
Link: https://doi.org/10.1007/..
 
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10

Extraction of Important Temporal Order for eXplainable AI o..:

, In: 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops),
Nishimura, Yasutaka ; Takeda, Naoto ; Legaspi, Roberto... - p. 659-664 , 2023
Link: https://doi.org/10.1109/..
 
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11

Physiological Responses to Movies Predict Marital Satisfact..:

Ishikawa, Yuichi ; Kobayashi, Nao ; Legaspi, Roberto..
IEEE Access.  11 (2023)  - p. 94918-94936 , 2023
Link: https://doi.org/10.1109/..
 
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12

ALLFA: Active Learning Through Label and Feature Augmentati..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),
Nishimura, Yasutaka ; Takeda, Naoto ; Legaspi, Roberto... - p. 158-165 , 2023
Link: https://doi.org/10.1109/..
 
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13

Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transfo..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Niu, Hao ; Meng, Chuizheng ; Cao, Defu... - p. 68-80 , 2022
Link: https://doi.org/10.1007/..
 
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14

Trip Destination Prediction by Cross-City Exploratory Data ..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Kojima, Ryoichi ; Legaspi, Roberto ; Wada, Shinya - p. 6547-6552 , 2022
Link: https://doi.org/10.1109/..
 
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15

Unsupervised Learning of Domain-Independent User Attributes:

Ishikawa, Yuichi ; Legaspi, Roberto ; Yonekawa, Kei...
IEEE Access.  10 (2022)  - p. 119649-119665 , 2022
Link: https://doi.org/10.1109/..
 
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