Artificial neural networks and machine learning -- ICANN 2019 : workshop and special sessions : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. Front Matter ....Pages i-xxxii Front Matter ....Pages 1-6 A Reservoir Computing Framework for Continuous Gesture Recognition (Stephan Tietz, Doreen Jirak, Stefan Wermter)....Pages 7-18 Using Conceptors to Transfer Between Long-Term and Short-Term Memory (Anthony Strock, Nicolas Rougier, Xavier Hinaut)....Pages 19-23 Bistable Perception in Conceptor Networks (Felix Meyer zu Driehausen, Rüdiger Busche, Johannes Leugering, Gordon Pipa)....Pages 24-34 Continual Learning Exploiting Structure of Fractal Reservoir Computing (Taisuke Kobayashi, Toshiki Sugino)....Pages 35-47 Continuous Blood Pressure Estimation Through Optimized Echo State Networks (Giuseppe Franco, Luca Cerina, Claudio Gallicchio, Alessio Micheli, Marco Domenico Santambrogio)....Pages 48-61 Reservoir Topology in Deep Echo State Networks (Claudio Gallicchio, Alessio Micheli)....Pages 62-75 Multiple Pattern Generations and Chaotic Itinerant Dynamics in Reservoir Computing (Hiromichi Suetani)....Pages 76-81 Echo State Network with Adversarial Training (Takanori Akiyama, Gouhei Tanaka)....Pages 82-88 Hyper-spherical Reservoirs for Echo State Networks (Pietro Verzelli, Cesare Alippi, Lorenzo Livi)....Pages 89-93 Echo State vs. LSTM Networks for Word Sense Disambiguation (Alexander Popov, Petia Koprinkova-Hristova, Kiril Simov, Petya Osenova)....Pages 94-109 Echo State Networks for Named Entity Recognition (Rajkumar Ramamurthy, Robin Stenzel, Rafet Sifa, Anna Ladi, Christian Bauckhage)....Pages 110-120 Efficient Cross-Validation of Echo State Networks (Mantas Lukoševičius, Arnas Uselis)....Pages 121-133 Front Matter ....Pages 135-135 Echo State Property of Neuronal Cell Cultures (Tomoyuki Kubota, Kohei Nakajima, Hirokazu Takahashi)....Pages 137-148 Overview on the PHRESCO Project: PHotonic REServoir COmputing (Jean-Pierre Locquet, PHRESCO Partners)....Pages 149-155 Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer (Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani)....Pages 156-160 A Power-Efficient Architecture for On-Chip Reservoir Computing (Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman)....Pages 161-164 Time Series Processing with VCSEL-Based Reservoir Computer (Jean Benoit Héroux, Naoki Kanazawa, Piotr Antonik)....Pages 165-169 Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation (Miguel C. Soriano, Pau Massuti-Ballester, Jesús Yelo, Ingo Fischer)....Pages 170-174 Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer (Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani)....Pages 175-179 Polarization Dynamics of VCSELs Improves Reservoir Computing Performance (Jeremy Vatin, Damien Rontani, Marc Sciamanna)....Pages 180-183 Reservoir-Size Dependent Learning in Analogue Neural Networks (Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner)....Pages 184-192 Transferring Reservoir Computing: Formulation and Application to Fluid Physics (Masanobu Inubushi, Susumu Goto)....Pages 193-199 Front Matter ....Pages 201-204 Investigation of EEG-Based Graph-Theoretic Analysis for Automatic Diagnosis of Alcohol Use Disorder (Wajid Mumtaz, Lukáš Vařeka, Roman Mouček)....Pages 205-218 EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning (Rongjun Ge, Guanyu Yang, Chenchu Xu, Jiulou Zhang, Yang Chen, Limin Luo et al.)....Pages 219-230 An Attention-Based ID-CNNs-CRF Model for Named Entity Recognition on Clinical Electronic Medical Records (Ming Gao, Qifeng Xiao, Shaochun Wu, Kun Deng)....Pages 231-242 Deep Text Prior: Weakly Supervised Learning for Assertion Classification (Vadim Liventsev, Irina Fedulova, Dmitry Dylov)....Pages 243-257 Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement (Hengjin Ke, Dan Chen, Lei Zhang, XinHua Zhang, Xianzeng Liu, Xiaoli Li)....Pages 258-272 Bi-ResNet: Fully Automated Classification of Unregistered Contralateral Mammograms (Runze Wang, Yanan Guo, Wendao Wang, Yide Ma)....Pages 273-283 Pattern Recognition for COPD Diagnostics Using an Artificial Neural Network and Its Potential Integration on Hardware-Based Neuromorphic Platforms (Pouya Soltani Zarrin, Christian Wenger)....Pages 284-288 Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net (Manish Mishra, Sabine Schmitt, Hans Zischka, Michael Strasser, Nassir Navab, Carsten Marr et al.)....Pages 289-298 Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network (Bogdan Kwolek, Michał Koziarski, Andrzej Bukała, Zbigniew Antosz, Bogusław Olborski, Paweł Wąsowicz et al.)....Pages 299-312 Measuring the Angle of Hallux Valgus Using Segmentation of Bones on X-Ray Images (Konrad Kwolek, Henryk Liszka, Bogdan Kwolek, Artur Gądek)....Pages 313-325 Human Body Posture Recognition Using Wearable Devices (Junxiu Liu, Mingxing Li, Yuling Luo, Su Yang, Senhui Qiu)....Pages 326-337 Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction (Zakhriya Alhassan, David Budgen, Ali Alessa, Riyad Alshammari, Tahani Daghstani, Noura Al Moubayed)....Pages 338-350 Front Matter ....Pages 351-352 On Chow-Liu Forest Based Regularization of Deep Belief Networks (Alex Sarishvili, Andreas Wirsen, Mats Jirstrand)....Pages 353-364 Prototypes Within Minimum Enclosing Balls (Christian Bauckhage, Rafet Sifa, Tiansi Dong)....Pages 365-376 Exploring Local Transformation Shared Weights in Convolutional Neural Networks (Rohan Ghosh, Anupam K. Gupta)....Pages 377-390 The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge (Raoul Heese, Michał Walczak, Lukas Morand, Dirk Helm, Michael Bortz)....Pages 391-395 Hierarchical Attentional Hybrid Neural Networks for Document Classification (Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin)....Pages 396-402 Reinforcement Learning Informed by Optimal Control (Magnus Önnheim, Pontus Andersson, Emil Gustavsson, Mats Jirstrand)....Pages 403-407 Explainable Anomaly Detection via Feature-Based Localization (Shogo Kitamura, Yuichi Nonaka)....Pages 408-419 Bayesian Automatic Relevance Determination for Feature Selection in Credit Default Modelling (Rendani Mbuvha, Illyes Boulkaibet, Tshilidzi Marwala)....Pages 420-425 TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features (Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed)....Pages 426-439 DeepMimic: Mentor-Student Unlabeled Data Based Training (Itay Mosafi, Eli (Omid) David, Nathan S. Netanyahu)....Pages 440-455 Evaluation of Tag Clusterings for User Profiling in Movie Recommendation (Guglielmo Faggioli, Mirko Polato, Ivano Lauriola, Fabio Aiolli)....Pages 456-468 Front Matter ....Pages 469-470 A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising (Rafael G. Pires, Daniel S. Santos, Gustavo B. Souza, Alexandre L. M. Levada, João Paulo Papa)....Pages 471-482 Hybrid Attention Driven Text-to-Image Synthesis via Generative Adversarial Networks (Qingrong Cheng, Xiaodong Gu)....Pages 483-495 Hypernetwork Functional Image Representation (Sylwester Klocek, Łukasz Maziarka, Maciej Wołczyk, Jacek Tabor, Jakub Nowak, Marek Śmieja)....Pages 496-510 Instance-Based Segmentation for Boundary Detection of Neuropathic Ulcers Through Mask-RCNN (H. V. L. C. Gamage, W. O. K. I. S. Wijesinghe, Indika Perera)....Pages 511-522 Capsule Networks for Attention Under Occlusion (Antonio Rodríguez-Sánchez, Tobias Dick)....Pages 523-534 IP-GAN: Learning Identity and Pose Disentanglement in Generative Adversarial Networks (Bassel Zeno, Ilya Kalinovskiy, Yuri Matveev)....Pages 535-547 Front Matter ....Pages 549-551 Hypernetwork Knowledge Graph Embeddings (Ivana Balažević, Carl Allen, Timothy M. Hospedales)....Pages 553-565 Signed Graph Attention Networks (Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng)....Pages 566-577 Graph Classification with 2D Convolutional Neural Networks (Antoine J.-P. Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis)....Pages 578-593 Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network (Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan)....Pages 594-606 Temporal Coding of Neural Stimuli (Adrian Horzyk, Krzysztof Gołdon, Janusz A. Starzyk)....Pages 607-621 Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks (Meng Cao, Xiying Ma, Ming Xu, Chongjun Wang)....Pages 622-634 Dual-FOFE-net Neural Models for Entity Linking with PageRank (Feng Wei, Uyen Trang Nguyen, Hui Jiang)....Pages 635-645 Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition (Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin)....Pages 646-657 Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes (Roman Schulte-Sasse, Stefan Budach, Denes Hnisz, Annalisa Marsico)....Pages 658-668 CNN-Based Semantic Change Detection in Satellite Imagery (Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin)....Pages 669-684 Axiomatic Kernels on Graphs for Support Vector Machines (Marcin Orchel, Johan A. K. Suykens)....Pages 685-700 Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network (Pedro Avelar, Henrique Lemos, Marcelo Prates, Luis Lamb)....Pages 701-715 Front Matter ....Pages 717-719 Neural Network Guided Tree-Search Policies for Synthesis Planning (Amol Thakkar, Esben Jannik Bjerrum, Ola Engkvist, Jean-Louis Reymond)....Pages 721-724 LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process (Mark McCormick, Alessandro E. P. Villa)....Pages 725-736 Progressive Docking - Deep Learning Based Approach for Accelerated Virtual Screening (Vibudh Agrawal, Francesco Gentile, Michael Hsing, Fuqiang Ban, Artem Cherkasov)....Pages 737-740 Predictive Power of Time-Series Based Machine Learning Models for DMPK Measurements in Drug Discovery (Modest von Korff, Olivier Corminboeuf, John Gatfield, Sébastien Jeay, Isabelle Reymond, Thomas Sander)....Pages 741-746 Improving Deep Generative Models with Randomized SMILES (Josep Arús-Pous, Simon Johansson, Oleksii Prykhodko, Esben Jannik Bjerrum, Christian Tyrchan, Jean-Louis Reymond et al.)....Pages 747-751 Attention and Edge Memory Convolution for Bioactivity Prediction (Michael Withnall, Edvard Lindelöf, Ola Engkvist, Hongming Chen)....Pages 752-757 Application of Materials Informatics Tools to the Analysis of Combinatorial Libraries of All Metal-Oxides Photovoltaic Cells (Hanoch Senderowitz, Abraham Yosipof, Omer Kaspi)....Pages 758-763 Analysis and Modelling of False Positives in GPCR Assays (Dipan Ghosh, Igor Tetko, Bert Klebl, Peter Nussbaumer, Uwe Koch)....Pages 764-770 Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach (Julio J. Valdés, Alain B. Tchagang)....Pages 771-782 Using an Autoencoder for Dimensionality Reduction in Quantum Dynamics (Sebastian Reiter, Thomas Schnappinger, Regina de Vivie-Riedle)....Pages 783-787 Conformational Oversampling as Data Augmentation for Molecules (Jennifer Hemmerich, Ece Asilar, Gerhard F. Ecker)....Pages 788-792 Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks (Alain B. Tchagang, Julio J. Valdés)....Pages 793-803 Deep Neural Network Architecture for Drug-Target Interaction Prediction (Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais)....Pages 804-809 Mol-CycleGAN - A Generative Model for Molecular Optimization (Łukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michał Warchoł)....Pages 810-816 A Transformer Model for Retrosynthesis (Pavel Karpov, Guillaume Godin, Igor V. Tetko)....Pages 817-830 Augmentation Is What You Need! (Igor V. Tetko, Pavel Karpov, Eric Bruno, Talia B. Kimber, Guillaume Godin)....Pages 831-835 Back Matter ....Pages 837-852