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Xiao Hu
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Year
Mining correlated bursty topic patterns from coordinated text streams
X Wang, CX Zhai, X Hu, R Sproat
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
2912007
Lyric text mining in music mood classification
X Hu, JS Downie, AF Ehmann
American music 183 (5,049), 2-209, 2009
2722009
The 2007 MIREX audio mood classification task: Lessons learned
X Hu, JS Downie, C Laurier, M Ehmann
Proc. 9th Int. Conf. Music Inf. Retrieval, 462-467, 2008
2412008
Improving Sexual Health Education Programs for Adolescent Students through Game-Based Learning and Gamification
H Haruna, X Hu, S Chu, R Mellecker, G Gabriel, P Ndekao
International journal of environmental research and public health 15 (9), 2027, 2018
1912018
Improving mood classification in music digital libraries by combining lyrics and audio
X Hu, JS Downie
Proceedings of the 10th annual joint conference on Digital libraries, 159-168, 2010
1742010
Exploring Mood Metadata: Relationships with Genre, Artist and Usage Metadata.
X Hu, JS Downie
ISMIR, 67-72, 2007
1722007
Understanding the nature of learners’ out-of-class language learning experience with technology
C Lai, X Hu, B Lyu
Computer Assisted Language Learning 31 (1-2), 114-143, 2018
1642018
When Lyrics Outperform Audio for Music Mood Classification: A Feature Analysis.
X Hu, JS Downie
ISMIR, 619-624, 2010
1392010
Exploring the relationship between social presence and learners’ prestige in MOOC discussion forums using automated content analysis and social network analysis
W Zou, X Hu, Z Pan, C Li, Y Cai, M Liu
Computers in Human Behavior 115, 106582, 2021
1062021
The influence of individual espoused cultural values on self-directed use of technology for language learning beyond the classroom
C Lai, Q Wang, X Li, X Hu
Computers in Human Behavior 62, 676-688, 2016
952016
Cross-dataset and cross-cultural music mood prediction: A case on Western and Chinese Pop songs
X Hu, YH Yang
IEEE Transactions on Affective Computing 8 (2), 228-240, 2017
712017
Creating a Simplified Music Mood Classification Ground-Truth Set.
X Hu, M Bay, JS Downie
ISMIR, 309-310, 2007
682007
A review of AI teaching and learning from 2000 to 2020
DTK Ng, M Lee, RJY Tan, X Hu, JS Downie, SKW Chu
Education and Information Technologies 28 (7), 8445-8501, 2023
642023
Music and mood: Where theory and reality meet
X Hu
iConference, 2010
612010
Mining Music Reviews: Promising Preliminary Results.
X Hu, JS Downie, K West, AF Ehmann
ISMIR, 536-539, 2005
612005
Music emotion recognition: Toward new, robust standards in personalized and context-sensitive applications
JS Gómez-Cañón, E Cano, T Eerola, P Herrera, X Hu, YH Yang, E Gómez
IEEE Signal Processing Magazine 38 (6), 106-114, 2021
592021
A framework for evaluating multimodal music mood classification
X Hu, K Choi, JS Downie
Journal of the Association for Information Science and Technology 68 (2 …, 2017
522017
University students’ use of music for learning and well-being: A qualitative study and design implications
X Hu, J Chen, Y Wang
Information Processing & Management 58 (1), 102409, 2021
502021
Cross-cultural Music Mood Classification: A Comparison on English and Chinese Songs.
YH Yang, X Hu
ISMIR, 19-24, 2012
472012
A Cross-cultural Study of Music Mood Perception between American and Chinese Listeners.
X Hu, JH Lee
ISMIR, 535-540, 2012
442012
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Articles 1–20