A Reservoir Computing Framework for Continuous Gesture Recognition -- Using conceptors to transfer between long-term and short-term Memory -- Bistable Perception in Conceptor Networks -- Continual Learning exploiting Structure of Fractal Reservoir Computing -- Continuous Blood Pressure Estimation through Optimized Echo State Networks -- Reservoir Topology in Deep Echo State Networks -- Multiple Pattern Generations and Chaotic Itinerant dynamics in Reservoir Computing -- Echo State Network with Adversarial Training -- Hyper-spherical reservoirs for Echo State Networks -- Echo State vs. LSTM Networks for Word Sense Disambiguation -- Echo State Networks for Named Entity Recognition -- Efficient Cross-Validation of Echo State Networks -- Echo State Property of Neuronal Cell Cultures -- Overview on the PHRESCO project: PHotonic REServoir COmputing -- Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer -- A power-effcient architecture for on-chip reservoir computing -- Time Series Processing with VCSEL-based Reservoir Computer -- Optoelectronic reservoir computing using a mixed digital-analog hardware implementation -- Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer -- Polarization dynamics of VCSELs improves reservoir computing performance. -- Reservoir-size dependent learning in analogue neural networks -- Transferring reservoir computing: formulation and application to fluid physics -- Investigation of EEG-based Graph-theoretic Analysis for Automatic Diagnosis of Alcohol Use Disorder -- EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment, and multi-target relation learning -- An attention-based ID-CNNs-CRF model for named entity recognition on clinical electronic medical records -- Deep Text Prior: Weakly Supervised Learning for Assertion Classification -- Inter-region Synchronization Analysis based on Heterogeneous Matrix Similarity Measurement -- Bi-ResNet: Fully automated classification of unregistered contralateral mammograms -- Pattern Recognition for COPD Diagnostics Using an Artificial Neural Network and Its Potential Integration on Hardware-based Neuromorphic Platforms -- Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria using a Combined Segmentation and Classification USK-Net -- Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network -- Measuring the Angle of Hallux Valgus Using Segmentation of Bones on X-ray Images -- Human Body Posture Recognition Using Wearable Devices -- Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction -- On Chow-Liu forest based regularization of deep belief networks -- Prototypes within Minimum Enclosing Balls -- Exploring Local Transformation Shared Weights in Convolutional Neural Networks -- The Good, the Bad and the Ugly: augmenting a black-box model with expert knowledge -- Hierarchical Attentional Hybrid Neural Networks for Document Classification -- Reinforcement learning informed by optimal control -- Explainable Anomaly Detection via Feature-Based Localization -- Bayesian Automatic Relevance Determination for Feature selection in Credit Default Modelling -- TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features -- DeepMimic: Mentor-Student Unlabeled Data Based Training -- Evaluation of tag clusterings for user profiling in movie recommendation -- A Sparse Filtering-based Approach for Non-Blind Deep Image Denoising -- Hybrid Attention Driven Text-to-Image Synthesis via Generative Adversarial Networks -- Hypernetwork functional image representation -- Instance-based Segmentation for Boundary Detection of Neuropathic Ulcers through Mask-RCNN -- Capsule Networks for attention under occlusion -- IP-GAN: Learning Identity and Pose Disentanglement in Generative Adversarial Networks -- Hypernetwork Knowledge Graph Embeddings -- Signed Graph Attention Networks -- Graph Classification with 2D Convolutional Neural Networks -- Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network -- Temporal Coding of Neural Stimuli -- Heterogeneous Information Network Embedding with Meta-path-based Graph Attention Networks -- Dual-FOFE-net Neural Models for Entity Linking with PageRank -- Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition -- Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes -- CNN-Based Semantic Change Detection in Satellite Imagery -- Axiomatic Kernels on Graphs for Support Vector Machines -- Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network -- Neural Network Guided Tree-Search Policies for Synthesis Planning -- LSTM and 1-D Convolutional Neural Networks for predictive monitoring of the anaerobic digestion process -- Progressive Docking - a Deep Learning Based Approach for Accelerated Virtual Screening -- Predictive Power of Time-series Based Machine Learning Models for DMPK Measurements in Drug Discovery -- Improving Deep Generative Models with Randomized SMILES -- Attention and Edge Memory Convolution for Bioactivity Prediction -- Application of materials informatics tools to the analysis of combinatorial libraries of all metal-oxides photovoltaic cells -- Analysis and Modelling of False Positives in GPCR Assays -- Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach -- Using an Autoencoder for Dimensionality Reduction in Quantum Dynamics -- Conformational Oversampling as Data Augmentation for Molecules -- Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks -- Deep Neural Network Architecture for Drug-Target Interaction Prediction -- Mol-CycleGAN - a generative model for molecular optimization -- A TRANSFORMER MODEL FOR RETROSYNTHESIS -- Augmentation is What You Need! -- Diversify Libraries Using Generative Topographic Mapping -- Detection of Frequent-Hitters across various HTS Technologies -- Message Passing Neural Networks scoring functions for structure-based drug discovery.