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ORCID31st ICANN 2022: Bristol, UK - Part II
- Elias Pimenidis
, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13530, Springer 2022, ISBN 978-3-031-15930-5 - Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang, Xuhao Tang:
Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation. 1-13 - Shifan Liu, Quan Yuan, Bo Chen, Guiyang Luo, Jinglin Li:
Cooperative Multi-agent Reinforcement Learning with Hierachical Communication Architecture. 14-25 - Xin Li, Hanqing Cai, Tianling Jiang, Chunping Liu, Yi Ji:
Emotion Aware Reinforcement Network for Visual Storytelling. 26-37 - Ruidong Cao, Min Dong, Xuanlu Jiang, Sheng Bi, Ning Xi:
Long-Horizon Route-Constrained Policy for Learning Continuous Control Without Exploration. 38-49 - Hongye Cao, Qianru Wei, Jiangbin Zheng, Yanqing Shi:
Model-Based Offline Adaptive Policy Optimization with Episodic Memory. 50-62 - Zhi Chen, Shengjie Zhao, Hao Deng:
Multi-mode Light: Learning Special Collaboration Patterns for Traffic Signal Control. 63-74 - Zixuan Cao, Xiujun Ma, Mengzhi Shi, Zhanbo Zhao:
Pheromone-inspired Communication Framework for Large-scale Multi-agent Reinforcement Learning. 75-86 - Fagui Liu, Chengqi Lai, Lvshengbiao Wang:
Reinforcement Learning for the Pickup and Delivery Problem. 87-98 - Guangxia Li, Gang Xiao, Junbo Zhang, Jia Liu, Yulong Shen:
Towards Relational Multi-Agent Reinforcement Learning via Inductive Logic Programming. 99-110 - Taku Yamagata, Raúl Santos-Rodríguez, Robert J. Piechocki, Peter A. Flach:
Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm. 111-122 - Yuliia Lysa, Cornelius Weber, Dennis Becker, Stefan Wermter:
Word-by-Word Generation of Visual Dialog Using Reinforcement Learning. 123-135 - Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. 136-147 - Haorui He, Yuanzhe Ren, Zheng Li, Jing Xue:
Adaptive Knowledge Distillation for Efficient Relation Classification. 148-158 - Fanyu Wang, Zhenping Xie:
An Adversarial Multi-task Learning Method for Chinese Text Correction with Semantic Detection. 159-173 - Tianye Sheng, Lisong Wang, Zongfeng He, Mingjie Sun, Guohua Jiang:
An Unsupervised Sentence Embedding Method by Maximizing the Mutual Information of Augmented Text Representations. 174-185 - Or Elroy, Abraham Yosipof:
Analysis of COVID-19 5G Conspiracy Theory Tweets Using SentenceBERT Embedding. 186-196 - Mingjie Sun, Lisong Wang, Tianye Sheng, Zongfeng He, Yuhua Huang:
Chinese Named Entity Recognition Using the Improved Transformer Encoder and the Lexicon Adapter. 197-208 - Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel:
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels. 209-221 - Yinyi Wei, Tong Mo, Yongtao Jiang, Weiping Li, Wen Zhao:
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer. 222-233 - Zihao Chen, Yang Liu, Baitai Cheng, Jing Peng:
Integrating Label Semantic Similarity Scores into Multi-label Text Classification. 234-245 - Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter:
Learning Flexible Translation Between Robot Actions and Language Descriptions. 246-257 - Xiaowen Sun, Cornelius Weber, Matthias Kerzel, Tom Weber, Mengdi Li, Stefan Wermter:
Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture. 258-269 - Liang Ge, Jun Li:
MTHGAT: A Neural Multi-task Model for Aspect Category Detection and Aspect Term Sentiment Analysis on Restaurant Reviews. 270-281 - Zefang Zhao, Yuyang Liu, Haibo Wu, Zhaojuan Yue, Jun Li:
Multi-task Alignment Scheme for Span-level Aspect Sentiment Triplet Extraction. 282-293 - Ziming Wang, Xirong Xu, Xinzi Li, Xiaoying Song, Xiaopeng Wei, Degen Huang:
SSMFRP: Semantic Similarity Model for Relation Prediction in KBQA Based on Pre-trained Models. 294-306 - Wei Chen, Lulu Wang, Jinglong Du, Zhongshi He:
SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis. 307-319 - Asmaa Hashem Sweidan, Nashwa El-Bendary, Haytham Al-Feel:
Word Embeddings with Fuzzy Ontology Reasoning for Feature Learning in Aspect Sentiment Analysis. 320-331 - Dapeng Zhao, Yue Qi:
3D Face Reconstruction with Geometry Details from a Single Color Image Under Occluded Scenes. 332-344 - Caiyin Yang, Shiyong Lan, Weikang Huang, Wenwu Wang, Guoliang Liu, Hongyu Yang, Wei Ma, Piaoyang Li:
A Transformer-Based GAN for Anomaly Detection. 345-357 - Lei Luo, William H. Hsu:
AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework. 358-370 - Xu-hui Zhan, Jianwei Liu, Ya-nan Han:
Continual Learning by Task-Wise Shared Hidden Representation Alignment. 371-382 - Bin Li, Cheng Xie, Jingqi Yang, Haoran Duan:
Contrast and Aggregation Network for Generalized Zero-shot Learning. 383-394 - Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel:
DT2I: Dense Text-to-Image Generation from Region Descriptions. 395-406 - Hualiang Jiang, Xiaohu Ma, Dongdong Yang, Jiaxin Zhao, Yao Shen:
Image Inpainting Based Multi-scale Gated Convolution and Attention. 407-418 - Zihan Wei, Yizhou Chen, Qiu Guan, Haigen Hu, Qianwei Zhou, Zhicheng Li, Xinli Xu, Alejandro Frangi, Feng Chen:
Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation. 419-431 - Eisuke Ito, Takaya Ueda, Ryo Takano, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa:
Phenotype Anomaly Detection for Biological Dynamics Data Using a Deep Generative Model. 432-444 - Jiaming Yang, Weihua Zhang, Yifei Pu:
Progressive Image Restoration with Multi-stage Optimization. 445-457 - Thibaut Kulak, Anthony Fillion, François Blayo:
A Unified View on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE). 458-468 - Zhaochao Zhong, Yangke Li, Jifang Yang:
Decoupled Representation Network for Skeleton-Based Hand Gesture Recognition. 469-480 - Songlin Hu, Minglai Shao:
Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks. 481-493 - Hao Cao, Hanyue Li, Yulin He, Xu Yan, Fei Yang, Haizhou Wang:
GCMK: Detecting Spam Movie Review Based on Graph Convolutional Network Embedding Movie Background Knowledge. 494-505 - Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan:
Heterogeneous Graph Attention Network for Malicious Domain Detection. 506-518 - Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo:
IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction. 519-531 - Zengqiang Guo, Yan Yang, Jijie Zhang, Tianqi Zhou, Bangyu Song:
Knowledge Graph Bidirectional Interaction Graph Convolutional Network for Recommendation. 532-543 - Tao Xu, Xu Yang, Suiwu Zheng:
Learning Hierarchical Graph Convolutional Neural Network for Object Navigation. 544-556 - Hongyu Yan, Zhihong Wu, Li Lu:
Low-Level Graph Convolution Network for Point Cloud Processing. 557-569 - Jingxin Fang, Xuwei Li, Yiguang Liu:
Low-Resource Similar Case Matching in Legal Domain. 570-582 - Sajjad Heydari, Lorenzo Livi:
Message Passing Neural Networks for Hypergraphs. 583-592 - Pengxiang Su, Xuanjing Shen, Haipeng Chen:
Multiscale Spatial and Temporal Learning for Human Motion Prediction. 593-604 - Zibo Liu, Kaiqun Fu, Xiaotong Liu:
Multi-view Cascading Spatial-Temporal Graph Neural Network for Traffic Flow Forecasting. 605-616 - Zhenglin Yu, Hui Yan:
Parallel Message Passing in Dual-space on Graphs. 617-629 - Menghua Lu, Lijia Liang, Gongshen Liu:
Parallel Relationship Graph to Improve Multi-Document Summarization. 630-642 - Zhenyang Wang, Shaoyang Wang, Pingmu Huang, Tiejun Lv:
SNNet: Specific Node Network of Human Parsing. 643-655 - Mingjie Sun, Pengyuan Zhou, Hui Tian, Yong Liao, Haiyong Xie:
Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning. 656-669 - Yuan Wu, Yanlu Cai, Rui Feng, Cheng Jin:
ST2PE: Spatial and Temporal Transformer for Pose Estimation. 670-681 - Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer:
Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks. 682-693 - Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han:
Temporal Graph Transformer for Dynamic Network. 694-705 - Qiming Li, Zhao Zhang, Boyu Diao, Yongjun Xu, Chao Li:
Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks. 706-718 - Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng:
Weight-Aware Graph Contrastive Learning. 719-730 - Yuta Yajima, Akihiro Inokuchi:
Why Deeper Graph Neural Network Performs Worse? Discussion and Improvement About Deep GNNs. 731-743 - Zhaoqi Leng, Yanheng Liu, Xu Zhou, Xueying Wang, Xican Wang:
A Long and Short Term Preference Model for Next Point of Interest Recommendation. 744-756 - Mengwei Wu, Qin Lu, Yingxue Wang:
A Multi-stack Denoising Autoencoder for QoS Prediction. 757-768 - Wei Zeng, Jiwei Qin, Xiaole Wang:
CKEN: Collaborative Knowledge-Aware Enhanced Network for Recommender Systems. 769-784 - Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli:
Conditioned Variational Autoencoder for Top-N Item Recommendation. 785-796 - Kui Zhang, Guangquan Lu, Guixian Zhang, Zhi Lei, Lijuan Wu:
Personalized Headline Generation with Enhanced User Interest Perception. 797-809
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