Table of Contents

• A Reservoir Computing Framework for Continuous Gesture RecognitionStephan Tietz, Doreen Jirak, Stefan Wermter. 7-18 [doi]
• Using Conceptors to Transfer Between Long-Term and Short-Term MemoryAnthony Strock, Nicolas P. Rougier, Xavier Hinaut. 19-23 [doi]
• Bistable Perception in Conceptor NetworksFelix Meyer zu Driehausen, Rüdiger Busche, Johannes Leugering, Gordon Pipa. 24-34 [doi]
• Continual Learning Exploiting Structure of Fractal Reservoir ComputingTaisuke Kobayashi, Toshiki Sugino. 35-47 [doi]
• Continuous Blood Pressure Estimation Through Optimized Echo State NetworksGiuseppe Franco, Luca Cerina, Claudio Gallicchio, Alessio Micheli, Marco Domenico Santambrogio. 48-61 [doi]
• Reservoir Topology in Deep Echo State NetworksClaudio Gallicchio, Alessio Micheli. 62-75 [doi]
• Multiple Pattern Generations and Chaotic Itinerant Dynamics in Reservoir ComputingHiromichi Suetani. 76-81 [doi]
• Echo State Network with Adversarial TrainingTakanori Akiyama, Gouhei Tanaka. 82-88 [doi]
• Hyper-spherical Reservoirs for Echo State NetworksPietro Verzelli, Cesare Alippi, Lorenzo Livi. 89-93 [doi]
• Echo State vs. LSTM Networks for Word Sense DisambiguationAlexander Popov, Petia D. Koprinkova-Hristova, Kiril Simov, Petya Osenova. 94-109 [doi]
• Echo State Networks for Named Entity RecognitionRajkumar Ramamurthy, Robin Stenzel, Rafet Sifa, Anna Ladi, Christian Bauckhage. 110-120 [doi]
• Efficient Cross-Validation of Echo State NetworksMantas Lukosevicius, Arnas Uselis. 121-133 [doi]
• Echo State Property of Neuronal Cell CulturesTomoyuki Kubota, Kohei Nakajima, Hirokazu Takahashi. 137-148 [doi]
• Overview on the PHRESCO Project: PHotonic REServoir COmputingJean-Pierre Locquet. 149-155 [doi]
• Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir ComputerPiotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani. 156-160 [doi]
• A Power-Efficient Architecture for On-Chip Reservoir ComputingStijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman. 161-164 [doi]
• Time Series Processing with VCSEL-Based Reservoir ComputerJean Benoit Héroux, Naoki Kanazawa, Piotr Antonik. 165-169 [doi]
• Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware ImplementationMiguel C. Soriano, Pau Massuti-Ballester, Jesús Yelo, Ingo Fischer. 170-174 [doi]
• Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir ComputerPiotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani. 175-179 [doi]
• Polarization Dynamics of VCSELs Improves Reservoir Computing PerformanceJeremy Vatin, Damien Rontani, Marc Sciamanna. 180-183 [doi]
• Reservoir-Size Dependent Learning in Analogue Neural NetworksXavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner. 184-192 [doi]
• Transferring Reservoir Computing: Formulation and Application to Fluid PhysicsMasanobu Inubushi, Susumu Goto. 193-199 [doi]
• Investigation of EEG-Based Graph-Theoretic Analysis for Automatic Diagnosis of Alcohol Use DisorderWajid Mumtaz, Lukás Vareka, Roman Moucek. 205-218 [doi]
• EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation LearningRongjun Ge, Guanyu Yang, Chenchu Xu, Jiulou Zhang, Yang Chen 0008, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li. 219-230 [doi]
• An Attention-Based ID-CNNs-CRF Model for Named Entity Recognition on Clinical Electronic Medical RecordsMing Gao, Qifeng Xiao, Shaochun Wu, Kun Deng. 231-242 [doi]
• Deep Text Prior: Weakly Supervised Learning for Assertion ClassificationVadim Liventsev, Irina Fedulova, Dmitry V. Dylov. 243-257 [doi]
• Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity MeasurementHengjin Ke, Dan Chen 0001, Lei Zhang, Xinhua Zhang, Xianzeng Liu, Xiaoli Li 0002. 258-272 [doi]
• Bi-ResNet: Fully Automated Classification of Unregistered Contralateral MammogramsRunze Wang, Yanan Guo, Wendao Wang, Yide Ma. 273-283 [doi]
• Pattern Recognition for COPD Diagnostics Using an Artificial Neural Network and Its Potential Integration on Hardware-Based Neuromorphic PlatformsPouya Soltani Zarrin, Christian Wenger. 284-288 [doi]
• Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-NetManish Mishra, Sabine Schmitt, Hans Zischka, Michael K. Strasser, Nassir Navab, Carsten Marr, Tingying Peng. 289-298 [doi]
• Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural NetworkBogdan Kwolek, Michal Koziarski, Andrzej Bukala, Zbigniew Antosz, Boguslaw Olborski, Pawel Wasowicz, Jakub Swadzba, Boguslaw Cyganek. 299-312 [doi]
• Measuring the Angle of Hallux Valgus Using Segmentation of Bones on X-Ray ImagesKonrad Kwolek, Henryk Liszka, Bogdan Kwolek, Artur Gadek. 313-325 [doi]
• Human Body Posture Recognition Using Wearable DevicesJunxiu Liu, Mingxing Li, Yuling Luo, Su Yang, Senhui Qiu. 326-337 [doi]
• Collaborative Denoising Autoencoder for High Glycated Haemoglobin PredictionZakhriya Alhassan, David Budgen, Ali Alessa, Riyad Alshammari, Tahani Daghstani, Noura Al Moubayed. 338-350 [doi]
• On Chow-Liu Forest Based Regularization of Deep Belief NetworksAlex Sarishvili, Andreas Wirsen, Mats Jirstrand. 353-364 [doi]
• Prototypes Within Minimum Enclosing BallsChristian Bauckhage, Rafet Sifa, Tiansi Dong. 365-376 [doi]
• Exploring Local Transformation Shared Weights in Convolutional Neural NetworksRohan Ghosh, Anupam Kumar Gupta. 377-390 [doi]
• The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert KnowledgeRaoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz. 391-395 [doi]
• Hierarchical Attentional Hybrid Neural Networks for Document ClassificationJader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin. 396-402 [doi]
• Reinforcement Learning Informed by Optimal ControlMagnus Önnheim, Pontus Andersson, Emil Gustavsson, Mats Jirstrand. 403-407 [doi]
• Explainable Anomaly Detection via Feature-Based LocalizationShogo Kitamura, Yuichi Nonaka. 408-419 [doi]
• Bayesian Automatic Relevance Determination for Feature Selection in Credit Default ModellingRendani Mbuvha, Ilyes Boulkaibet, Tshilidzi Marwala. 420-425 [doi]
• TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical FeaturesMohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel 0001, Sheraz Ahmed. 426-439 [doi]
• DeepMimic: Mentor-Student Unlabeled Data Based TrainingItay Mosafi, Eli (Omid) David, Nathan S. Netanyahu. 440-455 [doi]
• Evaluation of Tag Clusterings for User Profiling in Movie RecommendationGuglielmo Faggioli, Mirko Polato, Ivano Lauriola, Fabio Aiolli. 456-468 [doi]
• A Sparse Filtering-Based Approach for Non-blind Deep Image DenoisingRafael Goncalves Pires, Daniel Felipe Silva Santos, Gustavo Botelho de Souza, Alexandre L. M. Levada, João Paulo Papa. 471-482 [doi]
• Hybrid Attention Driven Text-to-Image Synthesis via Generative Adversarial NetworksQingrong Cheng, Xiaodong Gu. 483-495 [doi]
• Hypernetwork Functional Image RepresentationSylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja. 496-510 [doi]
• Instance-Based Segmentation for Boundary Detection of Neuropathic Ulcers Through Mask-RCNNH. V. L. C. Gamage, W. O. K. I. S. Wijesinghe, Indika Perera. 511-522 [doi]
• Capsule Networks for Attention Under OcclusionAntonio Rodríguez-Sánchez, Tobias Dick. 523-534 [doi]
• IP-GAN: Learning Identity and Pose Disentanglement in Generative Adversarial NetworksBassel Zeno, Ilya Kalinovskiy, Yuri Matveev. 535-547 [doi]
• Hypernetwork Knowledge Graph EmbeddingsIvana Balazevic, Carl Allen, Timothy M. Hospedales. 553-565 [doi]
• Signed Graph Attention NetworksJunjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng. 566-577 [doi]
• Graph Classification with 2D Convolutional Neural NetworksAntoine J.-P. Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis. 578-593 [doi]
• Community Detection via Joint Graph Convolutional Network Embedding in Attribute NetworkDi Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan. 594-606 [doi]
• Temporal Coding of Neural StimuliAdrian Horzyk, Krzysztof Goldon, Janusz A. Starzyk. 607-621 [doi]
• Heterogeneous Information Network Embedding with Meta-path Based Graph Attention NetworksMeng Cao, Xiying Ma, Ming Xu, Chongjun Wang. 622-634 [doi]
• Dual-FOFE-net Neural Models for Entity Linking with PageRankFeng Wei, Uyen Trang Nguyen, Hui Jiang 0001. 635-645 [doi]
• Spatial-Temporal Graph Convolutional Networks for Sign Language RecognitionCleison Correia de Amorim, David Macêdo, Cleber Zanchettin. 646-657 [doi]
• Graph Convolutional Networks Improve the Prediction of Cancer Driver GenesRoman Schulte-Sasse, Stefan Budach, Denes Hnisz, Annalisa Marsico. 658-668 [doi]
• CNN-Based Semantic Change Detection in Satellite ImageryAnanya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin. 669-684 [doi]
• Axiomatic Kernels on Graphs for Support Vector MachinesMarcin Orchel, Johan A. K. Suykens. 685-700 [doi]
• Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified NetworkPedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates, Luís da Cunha Lamb. 701-715 [doi]
• Neural Network Guided Tree-Search Policies for Synthesis PlanningAmol Thakkar, Esben Jannik Bjerrum, Ola Engkvist, Jean-Louis Reymond. 721-724 [doi]
• LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion ProcessMark McCormick, Alessandro E. P. Villa. 725-736 [doi]
• Progressive Docking - Deep Learning Based Approach for Accelerated Virtual ScreeningVibudh Agrawal, Francesco Gentile, Michael Hsing, Fuqiang Ban, Artem Cherkasov. 737-740 [doi]
• Predictive Power of Time-Series Based Machine Learning Models for DMPK Measurements in Drug DiscoveryModest von Korff, Olivier Corminboeuf, John Gatfield, Sébastien Jeay, Isabelle Reymond, Thomas Sander. 741-746 [doi]
• Improving Deep Generative Models with Randomized SMILESJosep Arús-Pous, Simon Johansson, Oleksii Prykhodko, Esben Jannik Bjerrum, Christian Tyrchan, Jean-Louis Reymond, Hongming Chen, Ola Engkvist. 747-751 [doi]
• Attention and Edge Memory Convolution for Bioactivity PredictionMichael Withnall, Edvard Lindelöf, Ola Engkvist, Hongming Chen. 752-757 [doi]
• Application of Materials Informatics Tools to the Analysis of Combinatorial Libraries of All Metal-Oxides Photovoltaic CellsHanoch Senderowitz, Abraham Yosipof, Omer Kaspi. 758-763 [doi]
• Analysis and Modelling of False Positives in GPCR AssaysDipan Ghosh, Igor V. Tetko, Bert Klebl, Peter Nussbaumer, Uwe Koch. 764-770 [doi]
• Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence ApproachJulio J. Valdés, Alain B. Tchagang. 771-782 [doi]
• Using an Autoencoder for Dimensionality Reduction in Quantum DynamicsSebastian Reiter, Thomas Schnappinger, Regina de Vivie-Riedle. 783-787 [doi]
• Conformational Oversampling as Data Augmentation for MoleculesJennifer Hemmerich, Ece Asilar, Gerhard F. Ecker. 788-792 [doi]
• Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural NetworksAlain B. Tchagang, Julio J. Valdés. 793-803 [doi]
• Deep Neural Network Architecture for Drug-Target Interaction PredictionNelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais. 804-809 [doi]
• Mol-CycleGAN - A Generative Model for Molecular OptimizationLukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michal Warchol. 810-816 [doi]
• A Transformer Model for RetrosynthesisPavel Karpov, Guillaume Godin, Igor V. Tetko. 817-830 [doi]
• Augmentation Is What You Need!Igor V. Tetko, Pavel Karpov, Eric Bruno, Talia B. Kimber, Guillaume Godin. 831-835 [doi]