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31st ICANN 2022: Bristol, UK - Part IV
- Elias Pimenidis
, Plamen Angelov
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13532, Springer 2022, ISBN 978-3-031-15936-7 - Rafet Durgut, Mehmet Emin Aydin
Analysing the Predictivity of Features to Characterise the Search Space. 1-13 - Jianwei Zheng
Boosting Feature-Aware Network for Salient Object Detection. 14-26 - Xiu-yan Chen, Jianwei Liu
Continual Learning Based on Knowledge Distillation and Representation Learning. 27-38 - Alessandro Maria Poirè, Federico Simonetta
Deep Feature Learning for Medical Acoustics. 39-50 - Chao Tan
Feature Fusion Distillation. 51-63 - Zhenshan Tan
Feature Recalibration Network for Salient Object Detection. 64-75 - Fabian Hinder, Johannes Brinkrolf, Barbara Hammer:
Feature Selection for Trustworthy Regression Using Higher Moments. 76-87 - Mengdong Zhou, Jianjun Li, Shuai Liu:
Fire Detection Based on Improved-YOLOv5s. 88-100 - Li Ma, Zheng Chen, Yingxun Fu, Yang Li
Heterogeneous Graph Neural Network for Multi-behavior Feature-Interaction Recommendation. 101-112 - Zhiwei Yuan, Yaping Yan, Songlin Du, Takeshi Ikenaga:
JointFusionNet: Parallel Learning Human Structural Local and Global Joint Features for 3D Human Pose Estimation. 113-125 - Panpan Zou
Multi-scale Feature Extraction and Fusion for Online Knowledge Distillation. 126-138 - Wenting Gao
Multi-scale Vertical Cross-layer Feature Aggregation and Attention Fusion Network for Object Detection. 139-150 - Qiang Dai
Multi-spectral Dynamic Feature Encoding Network for Image Demoiréing. 151-162 - Anna Jenul
Ranking Feature-Block Importance in Artificial Multiblock Neural Networks. 163-175 - Leilei Zhao
Robust Sparse Learning Based Sensor Array Optimization for Multi-feature Fusion Classification. 176-186 - Haifeng Qing, Jialiang Tang, Xiaoyan Yang, Xinlei Huang, Honglin Zhu, Ning Jiang:
Stimulates Potential for Knowledge Distillation. 187-198 - Boquan Zhou, Chunpeng Li:
Adaptive Compatibility Matrix for Superpixel-CRF. 199-211 - Taiki Sasaki, Yasuaki Ito, Koji Nakano
BERT-Based Scientific Paper Quality Prediction. 212-223 - Zhenxin Yuan, Xin Xiao, Shuai Zhao, Linlin Jiang, Zhongtao Li:
Effective ML-Block and Weighted IoU Loss for Object Detection. 224-235 - Amit Kumar Kundu, Joseph F. JáJá:
FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing. 236-247 - Jonathan Jakob, Martina Hasenjäger, Barbara Hammer
Reject Options for Incremental Regression Scenarios. 248-259 - Andrea Castellani
Stream-Based Active Learning with Verification Latency in Non-stationary Environments. 260-272 - Hy Dang, Minh Nguyen, Bo Mei:
StTime-Net: Combining both Historical and Textual Factors for Stock Movement Prediction. 273-284 - Marcondes R. da Silva
Subspace Clustering Multi-module Self-organizing Maps with Two-Stage Learning. 285-296 - David Nevado, Gonzalo Martínez-Muñoz
SVM Ensembles on a Budget. 297-308 - Zhangbin Mo, Yaobin Wang, Qingming Zhang, Guangbing Zhang, Mingfeng Guo, Yaqing Zhang, Chao Shen:
The Parallelization and Optimization of K-means Algorithm Based on MGPUSim. 309-320 - Yoshifumi Ujibashi
Two-Dimensional Encoding Method for Neural Synthesis of Tabular Transformation by Example. 321-332 - Michele Cozzatti, Federico Simonetta
Variational Autoencoders for Anomaly Detection in Respiratory Sounds. 333-345 - Antonios Papaleonidas
An Innovate Hybrid Approach for Residence Price Using Fuzzy C-Means and Machine Learning Techniques. 346-357 - Yan Chen, Wanhui Qian, Dongqin Liu, Yipeng Su, Yan Zhou, Jizhong Han, Ruixuan Li:
Contrastive Learning for Session-Based Recommendation. 358-369 - Kun Jiang, Lei Zhu, Zheng Liu:
Discriminative and Robust Analysis Dictionary Learning for Pattern Classification. 370-382 - Zhixin Li, Wei Li, Jia Zhang:
Domain Adaptative Semantic Segmentation by Fine-Grained Alignment. 383-394 - Jingquan Liu, Xiaoyong Du, Yuanzhe Li, Weidong Hu:
Hypergraph Variational Autoencoder for Multimodal Semi-supervised Representation Learning. 395-406 - Hafez Farazi, Sven Behnke
Intention-Aware Frequency Domain Transformer Networks for Video Prediction. 407-419 - Yeheng Sun, Jinghua Zhu, Heran Xi:
Knowledge-Aware Self-supervised Graph Representation Learning for Recommendation. 420-432 - Yuncong Peng
Meta-Style: Few-Shot Learning Dataset for Social Media Field. 433-444 - Reece Nicholls, Ryan Fellows, Steve Battle, Hisham Ihshaish
Problem Classification for Tailored Helpdesk Auto-replies. 445-454 - Yu Chen
Self-Enhancer: A Self-supervised Framework for Low-Supervision, Drifted Data with Significant Missing Values. 455-458 - Nima Rafiee
Self-supervised Anomaly Detection by Self-distillation and Negative Sampling. 459-470 - Jingyun Jia
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition. 471-483 - Ramyaa Murugan, Jonathan Mojoo, Takio Kurita
Supervised Learning for Convolutional Neural Network with Barlow Twins. 484-495 - Lu Wang
Using Multiple Heads to Subsize Meta-memorization Problem. 496-507 - Wei Li, Dezhao Luo, Bo Fang
Video Motion Perception for Self-supervised Representation Learning. 508-520 - Chunmao He, Lingyun Zhang
A Differentiable Architecture Search Approach for Few-Shot Image Classification. 521-532 - Yan Zuo, Junjie Lv, Huiwei Wang
AFS: Attention Using First and Second Order Information to Enrich Features. 533-545 - Kabid Hassan Shibly, Md Delwar Hossain
Autonomous Driving Model Defense Study on Hijacking Adversarial Attack. 546-557 - Weiran Chen, Chunping Liu, Yi Ji:
Chinese Character Style Transfer Model Based on Convolutional Neural Network. 558-569 - Chenyue Yang, Yixuan Pan, Yichao Cao
CNN-Transformer Hybrid Architecture for Early Fire Detection. 570-581 - Doron Nevo, Eli (Omid) David, Nathan S. Netanyahu:
DeepArtist: A Dual-Stream Network for Painter Classification of Highly-Varying Image Resolutions. 582-593 - Yuqing Wang
Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition. 594-606 - Yuhei Noda
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. 607-619 - Qing Zhang, Feilong Bao, Xiangdong Su, Weihua Wang, Guanglai Gao:
End-to-End Large-Scale Image Retrieval Network with Convolution and Vision Transformers. 620-632 - Donggen Li
Ensemble Ranking for Image Retrieval via Deep Hash. 633-644 - Stefan Pócos, Iveta Becková, Igor Farkas:
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks. 645-656 - Monika Schak, Alexander Gepperth:
Gesture MNIST: A New Free-Hand Gesture Dataset. 657-668 - Mona-Sabrine Mayouf
GH-CNN: A New CNN for Coherent Hierarchical Classification. 669-681 - Felix Meyer-Veit, Rania Rayyes, Andreas O. H. Gerstner, Jochen J. Steil:
Hyperspectral Endoscopy Using Deep Learning for Laryngeal Cancer Segmentation. 682-694 - Yuheng Cao, Mengjie Zhou:
Image Super-Resolution Using Deep RCSA Network. 695-706 - Chen Peng, Jun Li, Jie Chai, Zhongqiu Zhao, Housen Zhang, Weidong Tian:
Lip Reading Using Deformable 3D Convolution and Channel-Temporal Attention. 707-718 - Zhe Chen, Xiaofeng Zhang, Yaojun Ou, Mei Wang:
Loop Closure Detection Based on Siamese ConvNet Features and Geometrical Verification for Visual SLAM. 719-730 - Ruijun Feng
Multi-Sensor Data Fusion for Short-Term Traffic Flow Prediction: A Novel Multi-Channel Data Structure Integrated with Mixed-Pointwise Convolution and Channel Attention Mechanism. 731-742 - Binyi Wu
Neural Architecture Search for Low-Precision Neural Networks. 743-755 - Youki Sada, Seiya Shibata, Yuki Kobayashi, Takashi Takenaka:
RegionDrop: Fast Human Pose Estimation Using Annotation-Aware Spatial Sparsity. 756-768 - Yiqi Yang
SDCN: A Species-Disease Hybrid Convolutional Neural Network for Plant Disease Recognition. 769-780 - Zihan Li, Dihan Li, Cangbai Xu, Weice Wang, Qingqi Hong
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation. 781-792
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