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ORCID33rd ICANN 2024: Lugano, Switzerland - Part VI
- 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 VI. Lecture Notes in Computer Science 15021, Springer 2024, ISBN 978-3-031-72346-9
Multimodality
- Chengzhi Liu, Zihong Luo, Yifei Bi, Zile Huang, Dong Shu, Jiheng Hou, Hongchen Wang, Kaiyu Liang:
ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework. 3-18 - Luozheng Qin, Shaoyao Huang, Qian Qiao, Xu Yan, Ziqiang Cao:
BVRCC: Bootstrapping Video Retrieval via Cross-Matching Correction. 19-33 - Yongtao Tang, Shasha Li, Jie Yu, Jun Ma:
CAW: Confidence-Based Adaptive Weighted Model for Multi-modal Entity Linking. 34-51 - Hanwen Su, Ge Song, Kai Huang, Jiyan Wang, Ming Yang:
Cross-Modal Attention Alignment Network with Auxiliary Text Description for Zero-Shot Sketch-Based Image Retrieval. 52-65 - Guojing Liu, Xiangqian Ding, Nanzhe Ding, Huili Gong, Zhenyu Yang, Xiangyu Qu:
Exploring Interpretable Semantic Alignment for Multimodal Machine Translation. 66-80 - Ziyong Lin, Xiaolong Jiang, Jie Zhang, Mingyong Li:
Modal Fusion-Enhanced Two-Stream Hashing Network for Cross Modal Retrieval. 81-94 - Chao Zhang, Wei Wu, Bingzhuo Ma:
Text Visual Question Answering Based on Interactive Learning and Relationship Modeling. 95-109 - Yuze Zheng, Zixuan Li, Xiangxian Li, Jinxing Liu, Yuqing Wang, Xiangxu Meng, Lei Meng:
Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment. 110-125
Federated Learning
- Keyi Zhou, Yuan Liu:
Addressing the Privacy and Complexity of Urban Traffic Flow Prediction with Federated Learning and Spatiotemporal Graph Convolutional Networks. 129-142 - Chao Huang, Justin Dachille, Xin Liu:
An Accuracy-Shaping Mechanism for Competitive Distributed Learning. 143-158 - Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri:
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. 159-173 - Huangsiyuan Qin, Ying Li:
FedInc: One-Shot Federated Tuning for Collaborative Incident Recognition. 174-185 - Yusen Wu, Jiaxun Li, Qing Ye:
Layer-Wised Sparsification Based on Hypernetwork for Distributed NN Training. 186-201 - Duaa S. Alqattan, Rui Sun, Huizhi Liang, Guiseppe Nicosia, Václav Snásel, Rajiv Ranjan, Varun Ojha:
Security Assessment of Hierarchical Federated Deep Learning. 202-217
Time Series Processing
- Siyu Wu, Kai Xiong, Feiyang Yu, Xiyu Pan, Jianjun Li:
ESSformer: Transformers with ESS Attention for Long-Term Series Forecasting. 221-234 - Henrique V. Costa, André G. R. Ribeiro, Vinicius M. A. Souza:
Fusion of Image Representations for Time Series Classification with Deep Learning. 235-250 - Haoran Sun, Wenting Tu, Jiajie Zhan, Wanting Zhao:
HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting. 251-266 - Wen Li, Wenjun Yu, Heming Du, Shouguo Du, Jinhong You, Yiming Tang:
Learning Seasonal-Trend Representations and Conditional Heteroskedasticity for Time Series Analysis. 267-281 - Tao Cai, Haixiang Wu, Dejiao Niu, Xuewen Xia, Jie Jiang, Jingzehua Xu:
One Process Spatiotemporal Learning of Transformers via Vcls Token for Multivariate Time Series Forecasting. 282-296 - Zhengyu Li, Hongjie Zhang, Wei Zheng:
STformer: Spatio-Temporal Transformer for Multivariate Time Series Anomaly Detection. 297-311 - Wen Li, Yun Gu, Shouguo Du:
TF-CL: Time Series Forcasting Based on Time-Frequency Domain Contrastive Learning. 312-327
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