default search action
28th PAKDD 2024: Taipei, Taiwan - Workshops
- Zhaoxia Wang
, Chang Wei Tan
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2024 Workshops, RAFDA and IWTA, Taipei, Taiwan, May 7-10, 2024, Proceedings. Lecture Notes in Computer Science 14658, Springer 2024, ISBN 978-981-97-2649-3
PAKDD 2024 workshop on Research and Applications of Foundation Models for Data Mining and Affective Computing (RAFDA 2024)
- Donghao Huang
Evaluation of Orca 2 Against Other LLMs for Retrieval Augmented Generation. 3-19 - Tien-Cuong Bui
Toward Interpretable Graph Classification via Concept-Focused Structural Correspondence. 20-31 - Saketh Reddy Karra
InteraRec: Interactive Recommendations Using Multimodal Large Language Models. 32-43 - Kui Hu, Zhenyu Zhang, Xiaoming Li:
Research on Dynamic Community Detection Method Based on Multi-dimensional Feature Information of Community Network. 44-56 - Donghao Huang
From Tweets to Token Sales: Assessing ICO Success Through Social Media Sentiments. 57-69 - Yongxin Chao
Enhanced Graph Neural Network for Session-Based Recommendation with Static and Dynamic Information. 70-81 - Cheng Wei
Construction of Academic Innovation Chain Based on Multi-level Clustering of Field Literature. 82-94 - Nicole Anne Teo Huiying, Zhaoxia Wang
DLVS4Audio2Sheet: Deep Learning-Based Vocal Separation for Audio into Music Sheet Conversion. 95-107 - Erik Cambria, Balázs Gulyás, Joyce S. Pang, Nigel V. Marsh
Explainable AI for Stress and Depression Detection in the Cyberspace and Beyond. 108-120
International Workshop on Temporal Analytics (IWTA 2024)
- Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
Finding Foundation Models for Time Series Classification with a PreText Task. 123-135 - Jun-Hong Cai, Yi-Hang Tsai, Chia-Ming Chang, San-Yih Hwang:
Next Item and Interval Prediction of New Users Using Meta-Learning on Dynamic Network. 136-147 - Yu-Hsiang Chang, Lo Pang-Yun Ting, Wei-Cheng Yin, Ko-Wei Su, Kun-Ta Chuang:
Adaptive Knowledge Sharing in Multi-Task Learning: Insights from Electricity Data Analysis. 148-160 - Yun-Da Tsai, Shou-De Lin:
Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards. 161-173
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-26 20:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: