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ORCID32nd ICANN 2023: Heraklion, Crete - Part VI
- Lazaros Iliadis
, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14259, Springer 2023, ISBN 978-3-031-44223-0 - Hongzhi Hua, Ruiwei Zhao, Guixuan Wen, Kaigui Wu:
A Further Exploration of Deep Multi-Agent Reinforcement Learning with Hybrid Action Space. 1-12 - Xin Liu, Weiya Ren, Jie Tan, Xiaochuan Zhang, Xiaoguang Ren, Huadong Dai:
Air-to-Ground Active Object Tracking via Reinforcement Learning. 13-24 - Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis Fernando Lago-Fernández:
Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-processing of Recurrent Neural Networks. 25-36 - Kaiyue Wu, Xiao-Jun Zeng:
Group-Agent Reinforcement Learning. 37-48 - Yifan Xu, Zhiqiang Pu, Qiang Cai, Feimo Li, Xinghua Chai:
Improving Generalization of Multi-agent Reinforcement Learning Through Domain-Invariant Feature Extraction. 49-62 - Takuya Kanazawa, Chetan Gupta:
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. 63-76 - Kaishan Lin, Jianping Luo:
LIIVSR: A Unidirectional Recurrent Video Super-Resolution Framework with Gaussian Detail Enhancement and Local Information Interaction Modules. 77-88 - Jingzhou Zhu, Wentao Chao, Dong Yang:
Masked Scale-Recurrent Network for Incomplete Blurred Image Restoration. 89-102 - Naixu He, Qingfeng Chen, Qian Yu, Zongzhao Han:
Multi-fusion Recurrent Network for Argument Pair Extraction. 103-114 - Pingqi Zhou, Chao Li, Mengwei Qiu, Jun Liu, Chennan Ma, Ming Yan:
Pacesetter Learning for Large Scale Cooperative Multi-Agent Reinforcement Learning. 115-126 - Seiya Satoh:
Stable Learning Algorithm Using Reducibility for Recurrent Neural Networks. 127-139 - Matthew S. Evanusa, Vaishnavi Patil, Michelle Girvan, Joel Goodman, Cornelia Fermüller, Yiannis Aloimonos:
t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks. 140-151 - Konstantinos Demertzis, Lazaros S. Iliadis, Antonios Papaleonidas:
Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams. 152-166 - Gabriel Mendes Matos, Paulo S. G. de Mattos Neto:
An Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting. 167-179 - Jana Lang, Martin A. Giese, Winfried Ilg, Sebastian Otte:
Generating Sparse Counterfactual Explanations for Multivariate Time Series. 180-193 - Zhuzi Zheng, Changchun Guo, Jianyong Chen, Jianqiang Li:
Graph Neural Network-Based Representation Learning for Medical Time Series. 194-205 - Muhammad Ali Chattha, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. 206-217 - Zonglei Chen, Fan Zhang, Tianrui Li, Chongshou Li:
MAGNet: Muti-scale Attention and Evolutionary Graph Structure for Long Sequence Time-Series Forecasting. 218-230 - Hiroyuki Okumura, Tomoharu Nagao:
MIPCE: Generating Multiple Patches Counterfactual-Changing Explanations for Time Series Classification. 231-242 - Kanata Suzuki, Yuya Kamiwano, Naoya Chiba, Hiroki Mori, Tetsuya Ogata:
Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering. 243-255 - Xiangxu Meng, Wei Li, Tarek Gaber, Zheng Zhao, Chuhao Chen:
Rethink the Top-u Attention in Sparse Self-attention for Long Sequence Time-Series Forecasting. 256-267 - Alexander Katrompas, Vangelis Metsis:
Temporal Attention Signatures for Interpretable Time-Series Prediction. 268-280 - Shunsuke Takagaki, Koki Tateishi, Hiroyasu Ando:
Time-Series Prediction of Calcium Carbonate Concentration in Flue Gas Desulfurization Equipment by Optimized Echo State Network. 281-292 - Yibin Chen, Yawen Li, Ailan Xu, Qiang Sun, Xiaomin Chen, Chen Xu:
WAG-NAT: Window Attention and Generator Based Non-Autoregressive Transformer for Time Series Forecasting. 293-304 - Huiyong Zhang, Lichun Wang, Shuang Li, Kai Xu, Baocai Yin:
A Novel Encoder and Label Assignment for Instance Segmentation. 305-316 - Karl Hall, Chrisina Jayne, Victor Chang:
A Transformer-Based Framework for Biomedical Information Retrieval Systems. 317-331 - Ping Wang, Zheyu Yang, Xueyang Chen, Huahu Xu:
A Transformer-Based Method for UAV-View Geo-Localization. 332-344 - Jiahui Shang, Ping Wei, Nanning Zheng:
Cross-Graph Transformer Network for Temporal Sentence Grounding. 345-356 - Yunqi Cao, Haopeng Chen, Jinteng Ruan:
EGCN: A Node Classification Model Based on Transformer and Spatial Feature Attention GCN for Dynamic Graph. 357-368 - Yuxiang Lu, Yu Hong, Zujun Dou, Guodong Zhou:
Enhance Representational Differentiation Step by Step: A Two-Stage Encoder-Decoder Network for Implicit Discourse Relation Classification. 369-381 - Junhao Zhang, Juncheng Jin, Junjie Tang, Zehui Qu:
FPTN: Fast Pure Transformer Network for Traffic Flow Forecasting. 382-393 - Xinrui Deng, Zheng Huang, Kefan Ma, Kai Chen, Jie Guo, Weidong Qiu:
GenTC: Generative Transformer via Contrastive Learning for Receipt Information Extraction. 394-406 - Wuqing Yu, Linfeng Yang, Zixian He:
Hierarchical Classification for Symmetrized VI Trajectory Based on Lightweight Swin Transformer. 407-420 - Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang:
Hierarchical Vision and Language Transformer for Efficient Visual Dialog. 421-432 - Bingnan Guo, Sheng Liu, Feng Zhang, Junhao Chen, Ruixiang Chen:
ICDT: Maintaining Interaction Consistency for Deformable Transformer with Multi-scale Features in HOI Detection. 433-445 - Shuaijian Ji, Zhaokun Zhou, Yuqing Wang, Baishan Duan, Zhenyu Weng, Liang Xu, Yuesheng Zhu:
Imbalanced Conditional Conv-Transformer for Mathematical Expression Recognition. 446-458 - Jinghua Zhu, Yanchang Cui, Zhuohao Zhang, Heran Xi:
Knowledge Graph Transformer for Sequential Recommendation. 459-471 - Ningyuan Li, Haihong E, Li Shi, Xueyuan Lin, Meina Song, Yuhan Li:
LorenTzE: Temporal Knowledge Graph Embedding Based on Lorentz Transformation. 472-484 - Chen-Ming Zhang, Chengbo Yuan, Yong Luo, Xin Zhou:
MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion. 485-496 - Michele Lazzara, Max Chevalier, Corentin Lapeyre, Olivier Teste:
NeuralODE-Based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-Dimensional Dynamical Systems. 497-508 - Xinrui Deng, Zheng Huang, Kefan Ma, Kai Chen, Jie Guo, Weidong Qiu:
RRecT: Chinese Text Recognition with Radical-Enhanced Recognition Transformer. 509-521 - Minghao She, Wendong Mao, Huihong Shi, Zhongfeng Wang:
S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. 522-537 - Kehan Huangliang, Xinyang Li, Teng Yin, Bo Peng, Haixian Zhang:
Self-adapted Positional Encoding in the Transformer Encoder for Named Entity Recognition. 538-549 - Yujie Li, Yan Chen, Tianliang Qi, Feng Tian, Yaqiang Wu, Qianying Wang:
SHGAE: Social Hypergraph AutoEncoder for Friendship Inference. 550-562 - Haoying Wang, Ping Wei, Meiqin Liu, Nanning Zheng:
Temporal Deformable Transformer for Action Localization. 563-575 - Kai Tian, Mengze Pan, Zongqing Lu, Qingmin Liao:
Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer. 576-587
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