Table of Contents

• On the Security Relevance of Initial Weights in Deep Neural NetworksKathrin Grosse, Thomas Alexander Trost, Marius Mosbach, Michael Backes 0001, Dietrich Klakow. 3-14 [doi]
• Fractal Residual Network for Face Image Super-ResolutionYuchun Fang, Qicai Ran, Yifan Li. 15-26 [doi]
• From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto EncodersMax Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage. 27-38 [doi]
• Generating Adversarial Texts for Recurrent Neural NetworksChang Liu, Wang Lin, Zhengfeng Yang. 39-51 [doi]
• Enforcing Linearity in DNN Succours Robustness and Adversarial Image GenerationAnindya Sarkar, Raghu Sesha Iyengar. 52-64 [doi]
• Computational Analysis of Robustness in Neural Network ClassifiersIveta Becková, Stefan Pócos, Igor Farkas. 65-76 [doi]
• Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Classification of Motor Imagery in EEG SignalsMikhail Tokovarov. 79-91 [doi]
• Compressing Genomic Sequences by Using Deep LearningWenwen Cui, Zhaoyang Yu, Zhuangzhuang Liu, Gang Wang 0001, Xiaoguang Liu. 92-104 [doi]
• Learning Tn5 Sequence Bias from ATAC-seq on Naked ChromatinMeshal Ansari, David S. Fischer, Fabian J. Theis. 105-114 [doi]
• Tucker Tensor Decomposition of Multi-session EEG DataZuzana Rostáková, Roman Rosipal, Saman Seifpour. 115-126 [doi]
• Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical ModelsNick Taubert, Jesse St. Amand, Prerana Kumar, Leonardo Gizzi, Martin A. Giese. 127-140 [doi]
• Investigating Efficient Learning and Compositionality in Generative LSTM NetworksSarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz. 143-154 [doi]
• Fostering Event Compression Using Gated SurpriseDania Humaidan, Sebastian Otte, Martin V. Butz. 155-167 [doi]
• Physiologically-Inspired Neural Circuits for the Recognition of Dynamic FacesMichael Stettler, Nick Taubert, Tahereh Azizpour, Ramona Siebert, Silvia Spadacenta, Peter W. Dicke, Peter Thier, Martin A. Giese. 168-179 [doi]
• Hierarchical Modeling with Neurodynamical Agglomerative AnalysisMichael Marino, Georg Schröter, Gunther Heidemann, Joachim Hertzberg. 180-191 [doi]
• Deep and Wide Neural Networks Covariance EstimationArgimiro Arratia, Alejandra Cabaña, José Rafael León. 195-206 [doi]
• Monotone Deep Spectrum KernelsIvano Lauriola, Fabio Aiolli. 207-219 [doi]
• Permutation Learning in Convolutional Neural Networks for Time-Series AnalysisGavneet Singh Chadha, Jinwoo Kim, Andreas Schwung, Steven X. Ding. 220-231 [doi]
• GTFNet: Ground Truth Fitting Network for Crowd CountingJinghan Tan, Jun Sang, Zhili Xiang, Ying Shi, Xiaofeng Xia. 235-246 [doi]
• Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest RadiographyIlyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov. 247-257 [doi]
• Multi-person Absolute 3D Human Pose Estimation with Weak Depth SupervisionMárton Véges, András Lorincz. 258-270 [doi]
• Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learningYang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso. 271-283 [doi]
• Analysis and Prediction of Deforming 3D Shapes Using Oriented Bounding Boxes and LSTM AutoencodersSara Hahner, Rodrigo Iza-Teran, Jochen Garcke. 284-296 [doi]
• Novel Sketch-Based 3D Model Retrieval via Cross-domain Feature Clustering and MatchingKai Gao, Jian Zhang, Chen Li, Changbo Wang, Gaoqi He, Hong Qin. 299-311 [doi]
• Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture SearchNan Zhang, Jianzong Wang, Jian Yang, Xiaoyang Qu, Jing Xiao. 312-324 [doi]
• DeepED: A Deep Learning Framework for Estimating Evolutionary DistancesZhuangzhuang Liu, Mingming Ren, Zhiheng Niu, Gang Wang, Xiaoguang Liu. 325-336 [doi]
• Interpretable Machine Learning Structure for an Early Prediction of Lane ChangesOliver Gallitz, Oliver De Candido, Michael Botsch, Ron Melz, Wolfgang Utschick. 337-349 [doi]
• Convex Density Constraints for Computing Plausible Counterfactual ExplanationsAndré Artelt, Barbara Hammer. 353-365 [doi]
• Identifying Critical States by the Action-Based Variance of Expected ReturnIzumi Karino, Yoshiyuki Ohmura, Yasuo Kuniyoshi. 366-378 [doi]
• Explaining Concept Drift by Mean of DirectionFabian Hinder, Johannes Kummert, Barbara Hammer. 379-390 [doi]
• Context Adaptive Metric Model for Meta-learningZhe Wang, Fanzhang Li. 393-405 [doi]
• Ensemble-Based Deep Metric Learning for Few-Shot LearningMeng Zhou, Yaoyi Li, Hongtao Lu. 406-418 [doi]
• More Attentional Local Descriptors for Few-Shot LearningHui Li, Liu Yang, Fei Gao. 419-430 [doi]
• Implementation of Siamese-Based Few-Shot Learning Algorithms for the Distinction of COPD and Asthma SubjectsPouya Soltani Zarrin, Christian Wenger. 431-440 [doi]
• Few-Shot Learning for Medical Image ClassificationAihua Cai, Wenxin Hu, Jun Zheng. 441-452 [doi]
• Adversarial Defense via Attention-Based Randomized SmoothingXiao Xu, Shiyu Feng, Zheng Wang, Lizhe Xie, Yining Hu. 455-466 [doi]
• Learning to Learn from Mistakes: Robust Optimization for Adversarial NoiseAlex Serban, Erik Poll, Joost Visser 0001. 467-478 [doi]
• Unsupervised Anomaly Detection with a GAN Augmented AutoencoderLaya Rafiee, Thomas Fevens. 479-490 [doi]
• An Efficient Blurring-Reconstruction Model to Defend Against Adversarial AttacksWen Zhou, Liming Wang, Yaohao Zheng. 491-503 [doi]
• EdgeAugment: Data Augmentation by Fusing and Filling Edge MapsBangfeng Xia, Yueling Zhang, Weiting Chen, Xiangfeng Wang, Jiangtao Wang. 504-516 [doi]
• Face Anti-spoofing with a Noise-Attention Network Using Color-Channel Difference ImagesYuanyuan Ren, Yongjian Hu, Beibei Liu, Yixiang Xie, Yufei Wang. 517-526 [doi]
• Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from SpeechHussam Almotlak, Cornelius Weber, Leyuan Qu, Stefan Wermter. 529-540 [doi]
• Improved Classification Based on Deep Belief NetworksJaehoon Koo, Diego Klabjan. 541-552 [doi]
• Temporal Anomaly Detection by Deep Generative Models with Applications to Biological DataTakaya Ueda, Yukako Tohsato, Ikuko Nishikawa. 553-565 [doi]
• Inferring, Predicting, and Denoising Causal Wave DynamicsMatthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz. 566-577 [doi]
• PART-GAN: Privacy-Preserving Time-Series SharingShuo Wang, Carsten Rudolph, Surya Nepal, Marthie Grobler, Shangyu Chen. 578-593 [doi]
• EvoNet: A Neural Network for Predicting the Evolution of Dynamic GraphsChangmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis. 594-606 [doi]
• Facial Expression Recognition Method Based on a Part-Based Temporal Convolutional Network with a Graph-Structured RepresentationLei Zhong, Changmin Bai, Jianfeng Li 0003, Tong Chen 0008, Shigang Li 0001. 609-620 [doi]
• Generating Facial Expressions Associated with TextLisa Graziani, Stefano Melacci, Marco Gori. 621-632 [doi]
• Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI ModelsAmit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley. 633-646 [doi]
• Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge BasesHenrique Lemos 0001, Pedro H. C. Avelar, Marcelo O. R. Prates, Artur d'Avila Garcez, Luís C. Lamb. 647-659 [doi]
• 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. 660-671 [doi]
• SOM-Based System for Sequence Chunking and PlanningMartin Takác, Alistair Knott, Mark Sagar. 672-684 [doi]
• Bilinear Models for Machine LearningTayssir Doghri, Leszek Szczecinski, Jacob Benesty, Amar Mitiche. 687-698 [doi]
• Enriched Feature Representation and Combination for Deep Saliency DetectionLecheng Zhou, Xiaodong Gu. 699-710 [doi]
• Spectral Graph Reasoning Network for Hyperspectral Image ClassificationHuiling Wang. 711-723 [doi]
• Salient Object Detection with Edge RecalibrationZhenshan Tan, Yikai Hua, Xiaodong Gu. 724-735 [doi]
• Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image RecognitionJunbing Li, Changqing Zhang, Xueman Wang, Ling Du. 736-747 [doi]
• A New Efficient Finger-Vein Verification Based on Lightweight Neural Network Using Multiple SchemesHaocong Zheng, Yongjian Hu, Beibei Liu, Guang Chen, Alex C. Kot. 748-758 [doi]
• SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor SegmentationLiping Yi, Jinsong Zhang, Rui Zhang, Jiaqi Shi, Gang Wang, Xiaoguang Liu. 761-773 [doi]
• Synthesis of Registered Multimodal Medical Images with LesionsYili Qu, Wanqi Su, Xuan Lv, Chufu Deng, Ying Wang, Yutong Lu, Zhiguang Chen, Nong Xiao. 774-786 [doi]
• ACE-Net: Adaptive Context Extraction Network for Medical Image SegmentationTuo Leng, Yu Wang, Ying Li 0028, Zhijie Wen. 787-799 [doi]
• Wavelet U-Net for Medical Image SegmentationYing Li 0028, Yu Wang, Tuo Leng, Zhijie Wen. 800-810 [doi]
• Character-Based LSTM-CRF with Semantic Features for Chinese Event Element RecognitionWei Liu, Yusen Wu, Lei Jiang, Jianfeng Fu, Weimin Li. 813-824 [doi]
• Sequence Prediction Using Spectral RNNsMoritz Wolter, Jürgen Gall, Angela Yao. 825-837 [doi]
• Attention Based Mechanism for Load Time Series Forecasting: AN-LSTMJatin Bedi. 838-849 [doi]
• DartsReNet: Exploring New RNN Cells in ReNet ArchitecturesBrian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel 0001. 850-861 [doi]
• On Multi-modal Fusion for Freehand Gesture RecognitionMonika Schak, Alexander Gepperth. 862-873 [doi]
• Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural DataAlessandro Salatiello, Martin A. Giese. 874-886 [doi]