Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

Reservoir Topology in Deep Echo State Networks

Pages 62-75

Gallicchio, Claudio (et al.)

Multiple Pattern Generations and Chaotic Itinerant Dynamics in Reservoir Computing

Pages 76-81

Suetani, Hiromichi

Echo State Network with Adversarial Training

Pages 82-88

Akiyama, Takanori (et al.)

Hyper-spherical Reservoirs for Echo State Networks

Pages 89-93

Verzelli, Pietro (et al.)

Echo State vs. LSTM Networks for Word Sense Disambiguation

Pages 94-109

Popov, Alexander (et al.)

Echo State Networks for Named Entity Recognition

Pages 110-120

Ramamurthy, Rajkumar (et al.)

Efficient Cross-Validation of Echo State Networks

Pages 121-133

Lukoševičius, Mantas (et al.)

Echo State Property of Neuronal Cell Cultures

Pages 137-148

Kubota, Tomoyuki (et al.)

Overview on the PHRESCO Project: PHotonic REServoir COmputing

Pages 149-155

Locquet, Jean-Pierre

Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer

Pages 156-160

Antonik, Piotr (et al.)

A Power-Efficient Architecture for On-Chip Reservoir Computing

Pages 161-164

Sackesyn, Stijn (et al.)

Time Series Processing with VCSEL-Based Reservoir Computer

Pages 165-169

Héroux, Jean Benoit (et al.)

Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation

Pages 170-174

Soriano, Miguel C. (et al.)

Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer

Pages 175-179

Antonik, Piotr (et al.)

Polarization Dynamics of VCSELs Improves Reservoir Computing Performance

Pages 180-183

Vatin, Jeremy (et al.)

Reservoir-Size Dependent Learning in Analogue Neural Networks

Pages 184-192

Porte, Xavier (et al.)

Transferring Reservoir Computing: Formulation and Application to Fluid Physics

Pages 193-199

Inubushi, Masanobu (et al.)

Investigation of EEG-Based Graph-Theoretic Analysis for Automatic Diagnosis of Alcohol Use Disorder

Pages 205-218

Mumtaz, Wajid (et al.)

EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning

Pages 219-230

Ge, Rongjun (et al.)

An Attention-Based ID-CNNs-CRF Model for Named Entity Recognition on Clinical Electronic Medical Records

Pages 231-242

Gao, Ming (et al.)

Deep Text Prior: Weakly Supervised Learning for Assertion Classification

Pages 243-257

Liventsev, Vadim (et al.)

Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement

Pages 258-272

Ke, Hengjin (et al.)

Bi-ResNet: Fully Automated Classification of Unregistered Contralateral Mammograms

Pages 273-283

Wang, Runze (et al.)

Pattern Recognition for COPD Diagnostics Using an Artificial Neural Network and Its Potential Integration on Hardware-Based Neuromorphic Platforms

Pages 284-288

Soltani Zarrin, Pouya (et al.)

Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net

Pages 289-298

Mishra, Manish (et al.)

Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network

Pages 299-312

Kwolek, Bogdan (et al.)

Measuring the Angle of Hallux Valgus Using Segmentation of Bones on X-Ray Images

Pages 313-325

Kwolek, Konrad (et al.)

Human Body Posture Recognition Using Wearable Devices

Pages 326-337

Liu, Junxiu (et al.)

Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction

Pages 338-350

Alhassan, Zakhriya (et al.)

On Chow-Liu Forest Based Regularization of Deep Belief Networks

Pages 353-364

Sarishvili, Alex (et al.)

Prototypes Within Minimum Enclosing Balls

Pages 365-376

Bauckhage, Christian (et al.)

Exploring Local Transformation Shared Weights in Convolutional Neural Networks

Pages 377-390

Ghosh, Rohan (et al.)

The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge

Pages 391-395

Heese, Raoul (et al.)

Hierarchical Attentional Hybrid Neural Networks for Document Classification

Pages 396-402

Abreu, Jader (et al.)

Reinforcement Learning Informed by Optimal Control

Pages 403-407

Önnheim, Magnus (et al.)

Explainable Anomaly Detection via Feature-Based Localization

Pages 408-419

Kitamura, Shogo (et al.)

Bayesian Automatic Relevance Determination for Feature Selection in Credit Default Modelling

Pages 420-425

Mbuvha, Rendani (et al.)

TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features

Pages 426-439

Munir, Mohsin (et al.)

DeepMimic: Mentor-Student Unlabeled Data Based Training

Pages 440-455

Mosafi, Itay (et al.)

Evaluation of Tag Clusterings for User Profiling in Movie Recommendation

Pages 456-468

Faggioli, Guglielmo (et al.)

A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising

Pages 471-482

Pires, Rafael G. (et al.)

Hybrid Attention Driven Text-to-Image Synthesis via Generative Adversarial Networks

Pages 483-495

Cheng, Qingrong (et al.)

Hypernetwork Functional Image Representation

Pages 496-510

Klocek, Sylwester (et al.)

Instance-Based Segmentation for Boundary Detection of Neuropathic Ulcers Through Mask-RCNN

Pages 511-522

Gamage, H. V. L. C. (et al.)

Capsule Networks for Attention Under Occlusion

Pages 523-534

Rodríguez-Sánchez, Antonio (et al.)

IP-GAN: Learning Identity and Pose Disentanglement in Generative Adversarial Networks

Pages 535-547

Zeno, Bassel (et al.)

Hypernetwork Knowledge Graph Embeddings

Pages 553-565

Balažević, Ivana (et al.)

Signed Graph Attention Networks

Pages 566-577

Huang, Junjie (et al.)

Graph Classification with 2D Convolutional Neural Networks

Pages 578-593

Tixier, Antoine J.-P. (et al.)

Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network

Pages 594-606

Jin, Di (et al.)

Temporal Coding of Neural Stimuli

Pages 607-621

Horzyk, Adrian (et al.)

Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks

Pages 622-634

Cao, Meng (et al.)

Dual-FOFE-net Neural Models for Entity Linking with PageRank

Pages 635-645

Wei, Feng (et al.)

Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition

Pages 646-657

Amorim, Cleison Correia (et al.)

Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes

Pages 658-668

Schulte-Sasse, Roman (et al.)

CNN-Based Semantic Change Detection in Satellite Imagery

Pages 669-684

Gupta, Ananya (et al.)

Axiomatic Kernels on Graphs for Support Vector Machines

Pages 685-700

Orchel, Marcin (et al.)

Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network

Pages 701-715

Avelar, Pedro (et al.)

Neural Network Guided Tree-Search Policies for Synthesis Planning

Pages 721-724

Thakkar, Amol (et al.)

LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process

Pages 725-736

McCormick, Mark (et al.)

Progressive Docking - Deep Learning Based Approach for Accelerated Virtual Screening

Pages 737-740

Agrawal, Vibudh (et al.)

Predictive Power of Time-Series Based Machine Learning Models for DMPK Measurements in Drug Discovery

Pages 741-746

Korff, Modest (et al.)

Improving Deep Generative Models with Randomized SMILES

Pages 747-751

Arús-Pous, Josep (et al.)

Attention and Edge Memory Convolution for Bioactivity Prediction

Pages 752-757

Withnall, Michael (et al.)

Application of Materials Informatics Tools to the Analysis of Combinatorial Libraries of All Metal-Oxides Photovoltaic Cells

Pages 758-763

Senderowitz, Hanoch (et al.)

Analysis and Modelling of False Positives in GPCR Assays

Pages 764-770

Ghosh, Dipan (et al.)

Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach

Pages 771-782

Valdés, Julio J. (et al.)

Using an Autoencoder for Dimensionality Reduction in Quantum Dynamics

Pages 783-787

Reiter, Sebastian (et al.)

Conformational Oversampling as Data Augmentation for Molecules

Pages 788-792

Hemmerich, Jennifer (et al.)

Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks

Pages 793-803

Tchagang, Alain B. (et al.)

Deep Neural Network Architecture for Drug-Target Interaction Prediction

Pages 804-809

Monteiro, Nelson R. C. (et al.)

Mol-CycleGAN - A Generative Model for Molecular Optimization

Pages 810-816

Maziarka, Łukasz (et al.)

A Transformer Model for Retrosynthesis

Pages 817-830

Karpov, Pavel (et al.)

Augmentation Is What You Need!

Pages 831-835

Tetko, Igor V. (et al.)