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ORCID31st ICANN 2022: Bristol, UK - Part I
- 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 I. Lecture Notes in Computer Science 13529, Springer 2022, ISBN 978-3-031-15918-3 - Keming Mao, Yitao Ren, Liancheng Yin, Yan Jin:
A Novel Deep Learning Based Method for Doppler Spectral Curve Detection. 1-12 - Zhenshan Tan, Xiaodong Gu:
A Unified Multiple Inducible Co-attentions and Edge Guidance Network for Co-saliency Detection. 13-24 - Yuhan Lin, Han Sun, Ningzhong Liu, Yetong Bian, Jun Cen, Huiyu Zhou:
Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images. 25-36 - Wei Li, Ye Tian, Bowen Hou, Jianzhang Dong, Shitong Shao:
BiSMSM: A Hybrid MLP-Based Model of Global Self-Attention Processes for EEG-Based Emotion Recognition. 37-48 - Ruixin Xue, Meiqi Wang, Zhongfeng Wang:
Boosting Both Robustness and Hardware Efficiency via Random Pruning Mask Selection. 49-60 - Saifeng Feng, Jianhui Zhao, Wenyuan Zhao, Tingbao Zhang:
Brain Tumor Segmentation Framework Based on Edge Cloud Cooperation and Deep Learning. 61-72 - Xiaojun Liu, Shunan Zang, Chuang Zhang, Xiaojun Chen, Yangyang Ding:
CLTS+: A New Chinese Long Text Summarization Dataset with Abstractive Summaries. 73-84 - Minghan Zhong, Fanglin Chen, Jun Xu, Guangming Lu:
Correlation-Based Transformer Tracking. 85-96 - Xiangfeng Yan, Yong Liu, Wei Zhang:
Deep Graph and Sequence Representation Learning for Drug Response Prediction. 97-108 - Vaishnavi Patil, Matthew Evanusa, Joseph F. JáJá:
DOT-VAE: Disentangling One Factor at a Time. 109-120 - Weiqin Lin, Xianyu Bao, Mark Junjie Li, Zukang Gao:
DuSAG: An Anomaly Detection Method in Dynamic Graph Based on Dual Self-attention. 121-132 - Sooraj Raj, Jim Smith, Enda Hayes:
Exploring Deep Learning Architectures for Localised Hourly Air Quality Prediction. 133-144 - Weikang Huang, Shiyong Lan, Wenwu Wang, Xuedong Yuan, Hongyu Yang, Piaoyang Li, Wei Ma:
Face Super-Resolution with Spatial Attention Guided by Multiscale Receptive-Field Features. 145-157 - Toki Tahmid Inan, Mingrui Liu, Amarda Shehu:
F-Measure Optimization for Multi-class, Imbalanced Emotion Classification Tasks. 158-170 - Jie Wang, Guiyang Luo, Quan Yuan, Jinglin Li:
F-Transformer: Point Cloud Fusion Transformer for Cooperative 3D Object Detection. 171-182 - Yaxi Chen, Ruimin Hu, Zheng Wang, Yuke Li:
How to Face Unseen Defects? UDGAN for Improving Unseen Defects Recognition. 183-194 - Xiangzhe Guo, Shikui Tu, Lei Xu:
Learning to Generate Textual Adversarial Examples. 195-206 - Yingkang Han, Dehua Chen, Yishu Luo, Yijie Dong:
Lymphoma Ultrasound Image Segmentation with Self-Attention Mechanism and Stable Learning. 207-218 - Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
MetaAudio: A Few-Shot Audio Classification Benchmark. 219-230 - Jiaqiang Zhang, Jinxin Guo, Ming Ma:
Multi-Knowledge Attention Transfer Framework for Action Recognition. 231-242 - Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Multi-level Metric Learning for Few-Shot Image Recognition. 243-254 - Xiaolai Huo, Chung-Ming Own, Yue Zhou, Nannan Wu, Jianwen Sun:
Multistage Diagnosis of Alzheimer's Disease Based on Slice Attention Network. 255-266 - Zhilin Li, Zijian Deng, Li Chen, Yu Gui, Zhigang Cai, Jianwei Liao:
Multi-stream Information-Based Neural Network for Mammogram Mass Segmentation. 267-278 - Qingrui Li, Song Xie, Anil Oymagil, Ziyin Zhang, Mustafa Eseoglu, Choonmeng Lee:
MUST Augment: Efficient Augmentation with Multi-stage Stochastic Strategy. 279-291 - Jan-Ole Perschewski, Sebastian Stober:
Neural-Gas VAE. 292-303 - Zichao Xu, Hongying Zheng, Jianyong Chen:
Opemod: An Optimal Performance Selection Model for Prediction of Non-stationary Financial Time Series. 304-315 - Leiping Jie, Hui Zhang:
PSP-MVSNet: Deep Patch-Based Similarity Perceptual for Multi-view Stereo Depth Inference. 316-328 - Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu:
R2P: A Deep Learning Model from mmWave Radar to Point Cloud. 329-341 - Connor Gaede, Matthias Kerzel, Erik Strahl, Stefan Wermter:
Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping. 342-354 - Sayedali Shetab Boushehri, Ahmad Bin Qasim, Dominik Jens Elias Waibel, Fabian Schmich, Carsten Marr:
Systematic Comparison of Incomplete-Supervision Approaches for Biomedical Image Classification. 355-365 - Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis:
Time Series Forecasting Models Copy the Past: How to Mitigate. 366-378 - Faqiang Liu, Rong Zhao:
Towards Both Accurate and Robust Neural Networks Without Extra Data. 379-390 - Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey, Noura Al Moubayed:
Using Orientation to Distinguish Overlapping Chromosomes. 391-403 - Ali Zoljodi, Mohammad Loni, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab:
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection. 404-415 - Zhiyue Liu, Zhaoyang Wang, Jiahai Wang:
A Coarse-to-Fine Training Paradigm for Dialogue Summarization. 416-427 - Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes:
A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences. 428-440 - Shihao Shan, Enyuan Xiong, Xiang Yuan, Song Wu:
A Knowledge-Driven Enhanced Module for Visible-Infrared Person Re-identification. 441-453 - Marcello Trovati, Olayinka Johnny, Xiaolong Xu, Nikolaos Polatidis:
A New Model for Artificial Intuition. 454-465 - Amol Dhaliwal, Nikolaos Polatidis, Elias Pimenidis:
A Novel LSTM-CNN Architecture to Forecast Stock Prices. 466-477 - Guillermo Martín-Sánchez, Sander M. Bohté, Sebastian Otte:
A Taxonomy of Recurrent Learning Rules. 478-490 - Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Adaptive Online Domain Incremental Continual Learning. 491-502 - Roseli Suzi Wedemann, Angel Ricardo Plastino:
Associative Memory Networks with Multidimensional Neurons. 503-514 - Alaa Zain, Yang Jian, Jinjia Zhou:
Collaborative Multiple-Student Single-Teacher for Online Learning. 515-525 - Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang:
D-TRACE: Deep Triply-Aligned Clustering. 526-537 - Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte:
Infering Boundary Conditions in Finite Volume Neural Networks. 538-549 - Shuo Sun, Jun Yan, Rongjie Yan:
Layer-Specific Repair of Neural Network Classifiers. 550-561 - Katsiaryna Haitsiukevich, Alexander Ilin:
Learning Trajectories of Hamiltonian Systems with Neural Networks. 562-573 - Biao Guo, Kun Liu, Qian He:
MLPPose: Human Keypoint Localization via MLP-Mixer. 574-585 - Cheng Chen, Zhiguang Wang, Yongnian Fan, Xue Zhang, Dawei Li, Qiang Lu:
Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks. 586-598 - Dominik Rößle, Daniel Cremers, Torsten Schön:
Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion. 599-610 - Huailin Liu, Jing Liu:
PlAA: Pixel-level Adversarial Attack on Attention for Deep Neural Network. 611-623 - Zhiyuan Zhao, Qingjie Liu:
Robust Logo Detection Across Large Style Variations. 624-634 - Yuji Kawai, Jihoon Park, Ichiro Tsuda, Minoru Asada:
Self-organization of a Dynamical Orthogonal Basis Acquiring Large Memory Capacity in Modular Reservoir Computing. 635-646 - Siqi Miao, Meilian Lu:
Targeted Aspect-Based Sentiment Analysis by Utilizing Dynamic Aspect Representation. 647-659 - Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot:
To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries. 660-672 - Chao Pan, Bo Yuan, Wei Zhou, Xin Yao:
Towards Robust Uncertainty Estimation in the Presence of Noisy Labels. 673-684 - Nermeen Abou Baker, Jonas Stehr, Uwe Handmann:
Transfer Learning Approach Towards a Smarter Recycling. 685-696 - Qixing Sun, Xiaodong Jia, Xiao-Yuan Jing:
Addressing Contradiction Between Reconstruction and Correlation Maximization in Deep Canonical Correlation Autoencoders. 697-708 - Yunshu Dai, Jianwei Fei, Huaming Wang, Zhihua Xia:
Attentional Local Contrastive Learning for Face Forgery Detection. 709-721 - Zheng Lian, Rui Wang, Haichang Li, Xiaohui Hu:
Context-Assisted Attention for Image Captioning. 722-733 - Chongkai Yu, Wenjie Chen, Bing Wu:
Multi-level Proposal Relations Aggregation for Video Object Detection. 734-745 - Qiang Li, Bing Li, Can Ma:
Relation-Aware Global-Augmented Transformer for TextCaps. 746-758
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