{ "item_title" : "Artificial Neural Networks and Machine Learning - Icann 2019", "item_author" : [" Igor V. Tetko", "Věra Kůrková", "Pavel Karpov "], "item_description" : "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", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/030/492/3030304922_b.jpg", "price_data" : { "retail_price" : "99.99", "online_price" : "99.99", "our_price" : "99.99", "club_price" : "99.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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