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ORCID33rd ICANN 2024: Lugano, Switzerland - Part IX
- Michael Wand
, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15024, Springer 2024, ISBN 978-3-031-72355-1
Human-Computer Interfaces
- Xiaoyi Wang, Jie Liu, Jianshe Zhou, Wang Jiong:
Combining Contrastive Learning and Sequence Learning for Automated Essay Scoring. 3-18 - Takahiro Shibasaki, Yutaka Nakamura, Yuya Okadome:
PIDM: Personality-Aware Interaction Diffusion Model for Gesture Generation. 19-32 - Yuya Okadome, Akishige Yuguchi, Ryota Fukui, Yoshio Matsumoto:
Prompt Design Using Past Dialogue Summarization for LLMs to Generate the Current Appropriate Dialogue. 33-41
Recommender Systems
- Meihan Yao, Shuxi Zhang, Lang lv, Jianxia Chen, Mengyu Lu, Gaohang Jiang, Liang Xiao, Zhina Song:
Click-Through Rate Prediction Based on Filtering-Enhanced with Multi-head Attention. 45-59 - Yiyuan Zheng, Beibei Li, Beihong Jin, Rui Zhao:
Enhancing Sequential Recommendation via Aligning Interest Distributions. 60-73 - Ruobing Wang, Xin He, Hengrui Gu, Xin Wang:
LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System. 74-88 - Junshu Huang, Zi Long, Xianghua Fu, Yin Chen:
Multi-intent Aware Contrastive Learning for Sequential Recommendation. 89-104 - Jie Ma, Jiwei Qin, Peichen Ji, Zhibin Yang, Donghao Zhang, Chaoqun Liu:
Subgraph Collaborative Graph Contrastive Learning for Recommendation. 105-120 - Hongwei Chen, Luanxuan Liu, Zexi Chen, Xia Li:
Time-Aware Squeeze-Excitation Transformer for Sequential Recommendation. 121-135
Environment and Climate
- Haiqi Jiang, Ying Ding, Rui Chen, Chenyou Fan:
Carbon Price Forecasting with LLM-Based Refinement and Transfer-Learning. 139-154 - Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer:
Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks. 155-170 - Yun Wu, Wenhan Zhao, Yongbin Zhao, Jieming Yang, Diwen Liu, Ning An, Yifan Huang:
Day-Ahead Scenario Analysis of Wind Power Based on ICGAN and IDTW-Kmedoids. 171-185 - Jan-Matyás Martinu, Petr Simánek:
Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models. 186-197 - Marco Cardia, Stefano Chessa, Alessio Micheli, Antonella Giuliana Luminare, Francesca Gambineri:
Hybrid CNN-MLP for Wastewater Quality Estimation. 198-212 - Yun Wu, Wei Zheng, Yongbin Zhao, Jieming Yang, Ning An, Dan Feng:
Short-Term Forecasting of Wind Power Using CEEMDAN-ICOA-GRU Model. 213-229
City Planning
- Mingwei Zhang, Lizhong Gao, Qiao Wang, Weihao Gao:
Predicting City Origin-Destination Flow with Generative Pre-training. 233-245 - Chenxing Wang, Fang Zhao, Haiyong Luo, Yuchen Fang, Haichao Zhang, Haoyu Xiong:
Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta Learning. 246-262
Machine Learning in Engineering and Industry
- Ke Zhang, Dandan Zhu, Qiuhan Xu, Hao Zhou, Xuemei Peng:
APF-DQN: Adaptive Objective Pathfinding via Improved Deep Reinforcement Learning Among Building Fire Hazard. 265-279 - Xiaozong Yang, Huailiang Tan, Xinyan Wang:
DDPM-MoCo: Enhancing the Generation and Detection of Industrial Surface Defects Through Generative and Contrastive Learning. 280-294 - Andreas Plesner, Allan P. Engsig-Karup, Hans True:
Detecting Railway Track Irregularities Using Conformal Prediction. 295-309 - Shan Jiang, Yuan Meng, Danni Zhou:
Identifying the Trends of Technological Convergence Between Domains Using a Heterogeneous Graph Perspective: A Case Study of the Graphene Industry. 310-324 - Duy Le, Linh Nguyen, Truong Phung, David Howard, Gayan Kahandawa, M. Manzur Murshed, Gary W. Delaney:
Machine Learning Accelerated Prediction of 3D Granular Flows in Hoppers. 325-339 - Yubo Huang, Xin Lai, Zixi Wang, Muyang Ye, Yinmian Li, Yi Li, Fang Zhang, Chenyang Luo:
RD-Crack: A Study of Concrete Crack Detection Guided by a Residual Neural Network Improved Based on Diffusion Modeling. 340-354
Applications in Finance
- Ao Xiong, Chenbin Qiao, Baozhen Qi, Chengling Jiang:
Anomaly Detection in Blockchain Using Multi-source Embedding and Attention Mechanism. 357-372 - Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Andrzej Herman:
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems. 373-388 - Man Lin, De-Long Zeng, Jiarui Ouyang, Ying Shen:
MSIF: Multi-source Information Fusion for Financial Question Answering. 389-404
Artificial Intelligence in Education
- Shaoguo Cui, Mingyang Wang, Song Xu:
A Temporal-Enhanced Model for Knowledge Tracing. 407-421
Social Network Analysis
- Dongwei Zhu, Yongxiu Xu, Hongbo Xu, Hao Xu, Qi Wang, Wenhao Zhu:
Position and Type Aware Anchor Link Prediction Across Social Networks. 425-439
Artificial Intelligence and Music
- Hui Liu, Leon Flaack, Shiyao Zhang, Tanja Schultz:
LSTM-MorA: Melody-Accompaniment Classification of MIDI Tracks. 443-458
Software Security
- Christopher Molloy, Furkan Alaca, Steven H. H. Ding:
Ch4os: Discretized Generative Adversarial Network for Functionality-Preserving Evasive Modification on Malware. 461-475 - Qian Liu, Hui Zhang, Youpeng Zhang, Lin Fan, Xue Jin:
SSA-GAT: Graph-Based Self-supervised Learning for Network Intrusion Detection. 476-491
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