Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I

Front Matter ....Pages i-xxvii
Front Matter ....Pages 1-1
 On the Security Relevance of Initial Weights in Deep Neural Networks  (Kathrin Grosse, Thomas A. Trost, Marius Mosbach, Michael Backes, Dietrich Klakow)....Pages 3-14
 Fractal Residual Network for Face Image Super-Resolution  (Yuchun Fang, Qicai Ran, Yifan Li)....Pages 15-26
 From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders  (Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage)....Pages 27-38
 Generating Adversarial Texts for Recurrent Neural Networks  (Chang Liu, Wang Lin, Zhengfeng Yang)....Pages 39-51
 Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation  (Anindya Sarkar, Raghu Iyengar)....Pages 52-64
 Computational Analysis of Robustness in Neural Network Classifiers  (Iveta Bečková, àtefan Pócoš, Igor Farkaš)....Pages 65-76
Front Matter ....Pages 77-77
 Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Classification of Motor Imagery in EEG Signals  (Mikhail Tokovarov)....Pages 79-91
 Compressing Genomic Sequences by Using Deep Learning  (Wenwen Cui, Zhaoyang Yu, Zhuangzhuang Liu, Gang Wang, Xiaoguang Liu)....Pages 92-104
 Learning Tn5 Sequence Bias from ATAC-seq on Naked Chromatin  (Meshal Ansari, David S. Fischer, Fabian J. Theis)....Pages 105-114
 Tucker Tensor Decomposition of Multi-session EEG Data  (Zuzana Rošťáková, Roman Rosipal, Saman Seifpour)....Pages 115-126
 Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models  (Nick Taubert, Jesse St. Amand, Prerana Kumar, Leonardo Gizzi, Martin A. Giese)....Pages 127-140
Front Matter ....Pages 141-141
 Investigating Efficient Learning and Compositionality in Generative LSTM Networks  (Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz)....Pages 143-154
 Fostering Event Compression Using Gated Surprise  (Dania Humaidan, Sebastian Otte, Martin V. Butz)....Pages 155-167
 Physiologically-Inspired Neural Circuits for the Recognition of Dynamic Faces  (Michael Stettler, Nick Taubert, Tahereh Azizpour, Ramona Siebert, Silvia Spadacenta, Peter Dicke et al.)....Pages 168-179
 Hierarchical Modeling with Neurodynamical Agglomerative Analysis  (Michael Marino, Georg Schröter, Gunther Heidemann, Joachim Hertzberg)....Pages 180-191
Front Matter ....Pages 193-193
 Deep and Wide Neural Networks Covariance Estimation  (Argimiro Arratia, Alejandra Cabaña, José Rafael León)....Pages 195-206
 Monotone Deep Spectrum Kernels  (Ivano Lauriola, Fabio Aiolli)....Pages 207-219
 Permutation Learning in Convolutional Neural Networks for Time-Series Analysis  (Gavneet Singh Chadha, Jinwoo Kim, Andreas Schwung, Steven X. Ding)....Pages 220-231
Front Matter ....Pages 233-233
 GTFNet: Ground Truth Fitting Network for Crowd Counting  (Jinghan Tan, Jun Sang, Zhili Xiang, Ying Shi, Xiaofeng Xia)....Pages 235-246
 Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography  (Ilyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov)....Pages 247-257
 Multi-person Absolute 3D Human Pose Estimation with Weak Depth Supervision  (Márton Véges, András Lőrincz)....Pages 258-270
 Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning  (Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso)....Pages 271-283
 Analysis and Prediction of Deforming 3D Shapes Using Oriented Bounding Boxes and LSTM Autoencoders  (Sara Hahner, Rodrigo Iza-Teran, Jochen Garcke)....Pages 284-296
Front Matter ....Pages 297-297
 Novel Sketch-Based 3D Model Retrieval via Cross-domain Feature Clustering and Matching  (Kai Gao, Jian Zhang, Chen Li, Changbo Wang, Gaoqi He, Hong Qin)....Pages 299-311
 Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search  (Nan Zhang, Jianzong Wang, Jian Yang, Xiaoyang Qu, Jing Xiao)....Pages 312-324
 DeepED: A Deep Learning Framework for Estimating Evolutionary Distances  (Zhuangzhuang Liu, Mingming Ren, Zhiheng Niu, Gang Wang, Xiaoguang Liu)....Pages 325-336
 Interpretable Machine Learning Structure for an Early Prediction of Lane Changes  (Oliver Gallitz, Oliver De Candido, Michael Botsch, Ron Melz, Wolfgang Utschick)....Pages 337-349
Front Matter ....Pages 351-351
 Convex Density Constraints for Computing Plausible Counterfactual Explanations  (André Artelt, Barbara Hammer)....Pages 353-365
 Identifying Critical States by the Action-Based Variance of Expected Return  (Izumi Karino, Yoshiyuki Ohmura, Yasuo Kuniyoshi)....Pages 366-378
 Explaining Concept Drift by Mean of Direction  (Fabian Hinder, Johannes Kummert, Barbara Hammer)....Pages 379-390
Front Matter ....Pages 391-391
 Context Adaptive Metric Model for Meta-learning  (Zhe Wang, Fanzhang Li)....Pages 393-405
 Ensemble-Based Deep Metric Learning for Few-Shot Learning  (Meng Zhou, Yaoyi Li, Hongtao Lu)....Pages 406-418
 More Attentional Local Descriptors for Few-Shot Learning  (Hui Li, Liu Yang, Fei Gao)....Pages 419-430
 Implementation of Siamese-Based Few-Shot Learning Algorithms for the Distinction of COPD and Asthma Subjects  (Pouya Soltani Zarrin, Christian Wenger)....Pages 431-440
 Few-Shot Learning for Medical Image Classification  (Aihua Cai, Wenxin Hu, Jun Zheng)....Pages 441-452
Front Matter ....Pages 453-453
 Adversarial Defense via Attention-Based Randomized Smoothing  (Xiao Xu, Shiyu Feng, Zheng Wang, Lizhe Xie, Yining Hu)....Pages 455-466
 Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise  (Alex Serban, Erik Poll, Joost Visser)....Pages 467-478
 Unsupervised Anomaly Detection with a GAN Augmented Autoencoder  (Laya Rafiee, Thomas Fevens)....Pages 479-490
 An Efficient Blurring-Reconstruction Model to Defend Against Adversarial Attacks  (Wen Zhou, Liming Wang, Yaohao Zheng)....Pages 491-503
 EdgeAugment: Data Augmentation by Fusing and Filling Edge Maps  (Bangfeng Xia, Yueling Zhang, Weiting Chen, Xiangfeng Wang, Jiangtao Wang)....Pages 504-516
 Face Anti-spoofing with a Noise-Attention Network Using Color-Channel Difference Images  (Yuanyuan Ren, Yongjian Hu, Beibei Liu, Yixiang Xie, Yufei Wang)....Pages 517-526
Front Matter ....Pages 527-527
 Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech  (Hussam Almotlak, Cornelius Weber, Leyuan Qu, Stefan Wermter)....Pages 529-540
 Improved Classification Based on Deep Belief Networks  (Jaehoon Koo, Diego Klabjan)....Pages 541-552
 Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data  (Takaya Ueda, Yukako Tohsato, Ikuko Nishikawa)....Pages 553-565
 Inferring, Predicting, and Denoising Causal Wave Dynamics  (Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz)....Pages 566-577
 PART-GAN: Privacy-Preserving Time-Series Sharing  (Shuo Wang, Carsten Rudolph, Surya Nepal, Marthie Grobler, Shangyu Chen)....Pages 578-593
 EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs  (Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis)....Pages 594-606
Front Matter ....Pages 607-607
 Facial Expression Recognition Method Based on a Part-Based Temporal Convolutional Network with a Graph-Structured Representation  (Lei Zhong, Changmin Bai, Jianfeng Li, Tong Chen, Shigang Li)....Pages 609-620
 Generating Facial Expressions Associated with Text  (Lisa Graziani, Stefano Melacci, Marco Gori)....Pages 621-632
 Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models  (Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley)....Pages 633-646
 Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases  (Henrique Lemos, Pedro Avelar, Marcelo Prates, Artur Garcez, Luís Lamb)....Pages 647-659
 Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)  (Alexander Sutherland, Suna Bensch, Thomas Hellström, Sven Magg, Stefan Wermter)....Pages 660-671
 SOM-Based System for Sequence Chunking and Planning  (Martin Takac, Alistair Knott, Mark Sagar)....Pages 672-684
Front Matter ....Pages 685-685
 Bilinear Models for Machine Learning  (Tayssir Doghri, Leszek Szczecinski, Jacob Benesty, Amar Mitiche)....Pages 687-698
 Enriched Feature Representation and Combination for Deep Saliency Detection  (Lecheng Zhou, Xiaodong Gu)....Pages 699-710
 Spectral Graph Reasoning Network for Hyperspectral Image Classification  (Huiling Wang)....Pages 711-723
 Salient Object Detection with Edge Recalibration  (Zhenshan Tan, Yikai Hua, Xiaodong Gu)....Pages 724-735
 Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image Recognition  (Junbing Li, Changqing Zhang, Xueman Wang, Ling Du)....Pages 736-747
 A New Efficient Finger-Vein Verification Based on Lightweight Neural Network Using Multiple Schemes  (Haocong Zheng, Yongjian Hu, Beibei Liu, Guang Chen, Alex C. Kot)....Pages 748-758
Front Matter ....Pages 759-759
 SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation  (Liping Yi, Jinsong Zhang, Rui Zhang, Jiaqi Shi, Gang Wang, Xiaoguang Liu)....Pages 761-773
 Synthesis of Registered Multimodal Medical Images with Lesions  (Yili Qu, Wanqi Su, Xuan Lv, Chufu Deng, Ying Wang, Yutong Lu et al.)....Pages 774-786
 ACE-Net: Adaptive Context Extraction Network for Medical Image Segmentation  (Tuo Leng, Yu Wang, Ying Li, Zhijie Wen)....Pages 787-799
 Wavelet U-Net for Medical Image Segmentation  (Ying Li, Yu Wang, Tuo Leng, Wen Zhijie)....Pages 800-810
Front Matter ....Pages 811-811
 Character-Based LSTM-CRF with Semantic Features for Chinese Event Element Recognition  (Wei Liu, Yusen Wu, Lei Jiang, Jianfeng Fu, Weimin Li)....Pages 813-824
 Sequence Prediction Using Spectral RNNs  (Moritz Wolter, Jürgen Gall, Angela Yao)....Pages 825-837
 Attention Based Mechanism for Load Time Series Forecasting: AN-LSTM  (Jatin Bedi)....Pages 838-849
 DartsReNet: Exploring New RNN Cells in ReNet Architectures  (Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel)....Pages 850-861
 On Multi-modal Fusion for Freehand Gesture Recognition  (Monika Schak, Alexander Gepperth)....Pages 862-873
 Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data  (Alessandro Salatiello, Martin A. Giese)....Pages 874-886
Back Matter ....Pages 887-891