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ORCID32nd ICANN 2023: Heraklion, Crete - Part III
- 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 III. Lecture Notes in Computer Science 14256, Springer 2023, ISBN 978-3-031-44212-4 - Mark Junjie Li, Zukang Gao, Jun Li, Xianyu Bao, Meiting Li, Gen Zhao:
Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN. 1-12 - Enzhi Wang, Qicheng Li, Shiwan Zhao, Xue Han:
Anomaly-Based Insider Threat Detection via Hierarchical Information Fusion. 13-25 - Gaosheng Wang, Peipei Liu, Jintao Huang, Shuaizong Si, Hongsong Zhu, Limin Sun:
CSEDesc: CyberSecurity Event Detection with Event Description. 26-38 - Bowei Pu, Shiyong Lan, Wenwu Wang, Caiying Yang, Wei Pan, Hongyu Yang, Wei Ma:
GanNeXt: A New Convolutional GAN for Anomaly Detection. 39-49 - Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang:
K-Fold Cross-Valuation for Machine Learning Using Shapley Value. 50-61 - Zhiping Li, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu:
Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning. 62-73 - Fan Wang, Keli Wang, Boyu Yao:
Time Series Anomaly Detection with Reconstruction-Based State-Space Models. 74-86 - Shannan Yan:
ReDualSVG: Refined Scalable Vector Graphics Generation. 87-98 - Yikang Ding, Pengzhi Li, Dihe Huang, Zhiheng Li:
Rethinking Feature Context in Learning Image-Guided Depth Completion. 99-110 - Jihao Cao, Jinsheng Deng, Xiaoqing Yin, Zhichao Zhang, Hui Chen:
Semantic and Frequency Representation Mining for Face Manipulation Detection. 111-122 - Yan Lu, Miao Liao, Shuanhu Di, Yuqian Zhao:
Single Image Dehazing Network Based on Serial Feature Attention. 123-135 - Bincheng Yang, Gangshan Wu:
Single Image Super-Resolution with Sequential Multi-axis Blocked Attention. 136-148 - Chaozhi Yang, Yachuan Li, Yun Bai, Qian Xiao, Zongmin Li, Hongyi Li, Hua Li:
SS-Net: 3D Spatial-Spectral Network for Cerebrovascular Segmentation in TOF-MRA. 149-159 - Zhengyi Yang, Yuanjie Dang, Jianjun Xiang, Peng Chen:
STAN: Spatio-Temporal Alignment Network for No-Reference Video Quality Assessment. 160-171 - Jie Ruan, Zhenyu Weng, Jian Zhang, Yuqing Wang, Longhui Yu, Qiankun Gao, Yuesheng Zhu:
Style Expansion Without Forgetting for Handwritten Character Recognition. 172-184 - Chuan Jin, Anqi Zheng, Zhaoying Wu, Changqing Tong:
TransVQ-VAE: Generating Diverse Images Using Hierarchical Representation Learning. 185-196 - Zhiqiang Li, Xiaogen Zhou, Tong Tong:
UG-Net: Unsupervised-Guided Network for Biomedical Image Segmentation and Classification. 197-208 - Leyang Yang, Boyang Zhang, Jianchang Gong, Xueming Wang, Xiangzheng Li, Kehua Ma:
Unsupervised Shape Enhancement and Factorization Machine Network for 3D Face Reconstruction. 209-220 - Qiang Chen, Guoqiang Xiao, Jiahao Wu:
Visible-Infrared Person Re-identification via Modality Augmentation and Center Constraints. 221-232 - Xin Wang, Guangyue Zuo, Ke Li, Li Li, Aiye Shi:
Water Conservancy Remote Sensing Image Classification Based on Target-Scene Deep Semantic Enhancement. 233-245 - Shuyang Zhang, Yuntao Wei:
A Partitioned Detection Architecture for Oriented Objects. 246-257 - Xueyu Guan, Run Du, Xiaohan Wang, Haipeng Qu:
A Personalized Federated Multi-task Learning Scheme for Encrypted Traffic Classification. 258-270 - Minzhi Xie, Bo Xia, Yalou Yu, Xueqian Wang, Yongzhe Chang:
Addressing Delays in Reinforcement Learning via Delayed Adversarial Imitation Learning. 271-282 - Yongxin Yang, Timothy M. Hospedales:
An Evaluation of Self-supervised Learning for Portfolio Diversification. 283-294 - Yuqian Gui, Dawei Zhan, Tianrui Li:
An Exploitation-Enhanced Bayesian Optimization Algorithm for High-Dimensional Expensive Problems. 295-306 - Kosuke Sugiyama, Masato Uchida:
Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model. 307-319 - Xia Xu, Jochen Triesch:
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning. 320-331 - Daniel N. Nissani:
Contrastive Learning and the Emergence of Attributes Associations. 332-342 - Tongxu Zhang, Bei Wang:
Contrastive Learning for Sleep Staging Based on Inter Subject Correlation. 343-355 - Jinkun Geng, Xiubo Liang, Hongzhi Wang, Yu Zhao:
Diffusion Policies as Multi-Agent Reinforcement Learning Strategies. 356-364 - Siying Tao, Jinyang Huang, Xiang Zhang, Xiao Sun, Yu Gu:
Dynamic Memory-Based Continual Learning with Generating and Screening. 365-376 - Haochen Li, Minghua Nuo:
Enhancing Text2SQL Generation with Syntactic Information and Multi-task Learning. 377-388 - Zhixiong Mo, Weijun Wu, Weihao Yu, Tinghua Zhang, Zhilin Ke, Jin Huang:
Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling. 389-401 - Zhengchang Liu, Hang Diao, Fan Zhang, Samee U. Khan:
Find Important Training Dataset by Observing the Training Sequence Similarity. 402-413 - YuChen Wang, Li Li:
Generating Question-Answer Pairs for Few-Shot Learning. 414-425 - Yangyou Ning, Jinyan Wang, De Li, Dongqi Yan, Xianxian Li:
GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection. 426-438 - Andrea Treviño Gavito, Diego Klabjan, Jean Utke:
Gradient-Boosted Based Structured and Unstructured Learning. 439-451 - Peilin Liu, Yanni Tang, Mingyue Zhang, Wu Chen:
Graph Federated Learning Based on the Decentralized Framework. 452-463 - Zhengyi Xu, Liu Yang, Shiqiao Gu:
Heterogeneous Federated Learning Based on Graph Hypernetwork. 464-476 - Min Tang, Zhe Jin, Lixin Zou, Shiuan-Ni Liang:
Learning to Resolve Conflicts in Multi-Task Learning. 477-489 - Hao Dai, Jiashu Wu, André Brinkmann, Yang Wang:
Neighborhood-Oriented Decentralized Learning Communication in Multi-Agent System. 490-502 - Mengting Pan, Ye Wang, Zhiyun Chen:
NN-Denoising: A Low-Noise Distantly Supervised Document-Level Relation Extraction Scheme Using Natural Language Inference and Negative Sampling. 503-515 - Liping Yi, Xiaorong Shi, Nan Wang, Ziyue Xu, Gang Wang, Xiaoguang Liu:
pFedLHNs: Personalized Federated Learning via Local Hypernetworks. 516-528 - Siqi Deng, Liu Yang:
Prototype Contrastive Learning for Personalized Federated Learning. 529-540 - Wenhao Zhu, Yongxiu Xu, Hongbo Xu, Minghao Tang, Dongwei Zhu:
PTSTEP: Prompt Tuning for Semantic Typing of Event Processes. 541-553 - Qinghao Wang, Geying Yang, Lina Wang, Jie Fu, Xiaowen Liu:
SR-IDS: A Novel Network Intrusion Detection System Based on Self-taught Learning and Representation Learning. 554-565 - Yixiao Ma, Fanzhang Li:
Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning. 566-578 - Linlin Zhang, Boxing Chen, Shaolin Zhu, Luo Si:
Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model. 579-590
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