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Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part V / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee
| Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part V / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (802 pages) |
| Disciplina | 006.4 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Pattern recognition
Optical data processing Computer communication systems Machine learning Computers Pattern Recognition Image Processing and Computer Vision Computer Communication Networks Machine Learning Information Systems and Communication Service |
| ISBN | 3-030-36802-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Residual-Dense Attention Network for Image Super-Resolution -- Discriminant Feature Learning with Self-Attention for Person Re-Identification -- SCS: Style and Content Supervision Network for Character Recognition with Unseen Font Style -- T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection -- IRSNET:An Inception-Resnet Feature Reconstruction Model for Building Segmentation -- Residual CRNN and Its Application to Handwritten Digit String Recognition -- G-HAPNet: A Novel Structure for Single Image Super-Resolution -- Inpainting with Sketch Reconstruction and Comprehensive Feature Selection -- Delving into Precise Attention in Image Captioning -- Dense Image Captioning based on Precise Feature Extraction -- Improve Image Captioning by Self-attention -- Dual-Path Recurrent Network for Image Super-Resolution -- Attention-based Image Captioning Using DenseNet Features -- High-Performance Light Field Reconstruction with Channel-wise and SAI-wise Attention -- Image Generation Framework for Unbalanced License Plate Data Set -- Cross-Domain Scene Text Detection via Pixel and Image-level Adaptation -- Modified adaptive implicit shape model for object detection -- An Expert Validation Framework for Improving the Quality of Crowdsourced Clustering -- A Label Embedding Method for Multi-Label Classification via Exploiting Local Label Correlations -- The Inadequacy of Entropy-Based Ransomware Detection -- Attention Network for Product Characteristics Prediction based on Reviews -- Semi-supervised Regularized Coplanar Discriminant Analysis -- Multi-object tracking with Conditional Random Field -- Intra-Modality Feature Interaction using Self-attention For Visual Question Answering -- Reinforcement Learning with Attention that Works: A Self-Supervised Approach -- Budget Cost Reduction for Label Collection with Confusability based Exploration -- Prediction of Refactoring-Prone Classes using Ensemble Learning -- Analysis on Dropout Regularization -- On a convergence property of a geometrical algorithm for statistical manifolds -- Anomaly Detection Based on the Global-Local Anomaly Score for Trajectory Data -- Patch Selection Denoiser: An Effective Approach Defending against One-Pixel Attacks -- Demographic Prediction from Purchase Data based on Knowledge-Aware Embedding -- Addressing Reward Engineering for Deep Reinforcement Learning on Multi-Stage task -- High-Speed Synchronization of Pulse-Coupled Phase Oscillators on Multi-FPGA -- A New Approach to Automatic Heat Detection of Cattle in Video -- Accurate Localization Algorithm in Wireless Sensor Networks in the Presence of Cross Technology Interference -- On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine -- LoRa Indoor Localization Based on Improved Neural Network for Firefighting Robot -- Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets -- Interpreting Layered Neural Networks via Hierarchical Modular Representation -- Application Identification of Network Traffic by Reservoir Computing -- A New Supervised Learning Approach: Statistical Adaptive Fourier Decomposition (SAFD) -- Artificial Neural Network-based Modeling for Prediction of Hardness of Austempered Ductile Iron -- Prediction of Hardness of Austempered Ductile Iron using Enhanced Multilayer Perceptron based on Chebyshev Expansion -- Improving Neural Network Classifier using Gradient-based Floating Centroid Method -- MON: Multiple Output Neurons -- Evaluation on Neural Network Models for Video-Based Stress Recognition -- Pruning Convolutional Neural Network With Distinctiveness Approach -- Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time -- Regularizing Variational Autoencoders for Molecular Graph Generation -- Node-Edge Bilateral Attributed Network Embedding -- Info-Detection: An Information-Theoretic Approach to Detect Outlier -- Joint Grouping and Labeling via Complete Graph Decomposition -- Link Prediction with Attention-based Semantic Influence of Multiple Neighbors -- U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Images -- NEOKNN: A Network Embedding Method Only Knowing Neighbor Nodes -- Hypergraph Regularized GM-pLSA: A Model to Learn the Latent Semantic Attributes -- Interactive Semantic Features Selection from Reviews for Recommendation -- DXNet: An Encoder-Decoder Architecture with XSPP for Semantic Image Segmentation in Street Scenes -- Anchor User Oriented Accordant Embedding for User Identity Linkage -- Event Prediction in Complex Social Graphs via Feature Learning of Vertex Embeddings -- A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance -- Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model -- Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-driven Statistical Approach -- Sparse Estimation of Neuronal Network Structure with Observed Data -- Implementation of Spiking Neural Network with Wireless Communications -- Local Topic Detection using Word Embedding from Spatio-temporal Social Media -- Building Mongolian TTS Front-End with Encoder-Decoder Model by Using Bridge Method and Multi-view Features -- Code Summarization with Abstract Syntax Tree -- Attention based Shared Representation for Multi-Task Stance Detection and Sentiment Analysis -- Multi-document Summarization using Adaptive Composite Differential Evolution -- MIRU:A novel memory interaction recurrent unit -- RL-Gen: A Character-Level Text Generation Framework with Reinforcement Learning in Domain Generation Algorithm Case -- A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling -- From signal to image then to feature: Decoding pigeon behavior outcomes during goal-directed decision-making task using time-frequency textural features -- Convolutional Grid Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition -- Pattern Sequence Neural Network for Solar Power Forecasting -- Euler Recurrent Neural Network: Tracking the Input Contribution to Prediction on Sequential Data -- Exploiting Cluster Structure in Probabilistic Matrix Factorization -- Ensemble Classifier Generation Using Class-Pure Cluster Balancing -- Temporal Continuity Based Unsupervised Learning for Person Re-Identification -- Networking Self-Organising Maps and Similarity Weight Associations. |
| Record Nr. | UNINA-9910364953303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part IV / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee
| Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part IV / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (795 pages) |
| Disciplina | 006.32 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Xarxes neuronals (Informàtica)
Processament òptic de dades Reconeixement de formes (Informàtica) Pattern recognition Optical data processing Machine learning Computers Application software Pattern Recognition Image Processing and Computer Vision Machine Learning Information Systems and Communication Service Computer Appl. in Social and Behavioral Sciences |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-36808-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Adversarial Deep Learning with Stackelberg Games -- Enhance Feature Representation of Dual Networks for Attribute Prediction -- Data augment in imbalanced learning based on Generative Adversarial Networks -- A deep learning scheme for extracting pedestrian-parcel tuples from videos -- Support Matching: a Novel Regularization to Escape from Mode Collapse in GANs -- Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation -- A Gradient-based Algorithm to Deceive Deep Neural Networks -- Writing Style Adversarial Network for Handwritten Chinese Character Recognition -- Recovering Super-Resolution Generative Adversarial Network for Underwater Images -- Hierarchical Attention CNN Model for Relation Extraction -- Fault Tolerant Broad Learning System -- Group Loss: An Efficient Strategy for Salient Object Detection -- PPGCN: a message selection based approach for graph classification -- Multi-Task Temporal Convolutional Network for Predicting Water Quality Sensor Data -- CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model -- MC-HDCNN: Computing the Stereo Matching Cost with a Hybrid Dilated Convolutional Neural Network -- Convolutional Neural Network to Detect Thorax Diseases from Multi-View Chest X-Rays -- Visual Speaker Authentication by a CNN-based Scheme with Discriminative Segment Analysis -- Intrusion Detection Using Temporal Convolutional Networks -- Empirical Study of Easy and Hard Examples in CNN Training -- GCNDA:Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis -- A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features -- Simple ConvNet Based on Bag of MLP-based Local Descriptors -- Convolutional LSTM: A Deep Learning Method for Motion Intention Recognition Based on Spatiotemporal EEG Data -- A Deep Neural Network Model for Rating Prediction based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors -- LSPM: Joint Deep Modeling of Long-term Preference and Short-term Preference for Recommendation -- How we Achieved a Production Ready Slot Filling Deep Neural Network without Initial Natural Language Data -- Swarm Intelligence Based Ensemble Learning of Deep Neural Networks -- DSMRSeg:Dual-Stage feature pyramid and Mutil-Range context aggregation for real-time Semantic Segmentation -- Safety and Robustness of Deep Neural Networks Object Recognition under Generic Attacks -- Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning -- Improving the Identification of Code Smells by Combining Structural and Semantic Information -- Learnable Gabor Convolutional Networks -- Deep Autoencoder on Personalized Facet Selection -- Attention-based Deep Q-Network in Complex Systems -- Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases -- A Comparison Study of Deep Learning Techniques to Increase the Spatial Resolution of Photo-realistic Images -- Neural Architecture Search for Domestic Audio Tagging -- A Robust Embedding for Attributed Networks with Outliers -- Pay Attention to Deep Feature Fusion in Crowd Density Estimation -- Knowledge Reuse of Learning Agent Based on Factor Information of Behavioral Rules -- Community Based Node Embeddings for Networks -- Code Generation from Supervised Code Embeddings -- ComNE: Reinforcing Network Embedding with Community Learning -- D2PLS: A Novel Bilinear Method for Facial Feature Fusion -- Learning Network Representation via Ego-network-level Relationship -- DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation -- Dance to Music Expressively: A Brain-inspired System Based on Audio-semantic Model for Cognitive Development of Robots -- Identifying EEG responses modulated by working memory loads from weighted phase lag index based functional connectivity microstates -- Combining Fisheye Camera with Odometer for Autonomous Parking -- Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction -- Multi-class Human Body Parsing with Edge-Enhancement Network -- vUBM: Variational Universal Background Model for EEG-based Person Authentication -- Passenger Demographic Attributes Prediction for Human-centered Public Transport -- Spontaneous EEG classification using complex valued neural network -- Tongue Coating Classification Based on Multiple-Instance Learning and Deep Features -- Machine Learning based Trust Model for Misbehaviour Detection in Internet-of-Vehicles -- Toward the Ontology-Based Security Verification and Validation Model for the Vehicular Domain -- Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming -- Adaptive Estimation of Human-Robot Interaction Force for Lower Limb Rehabilitation -- Effect of incomplete memorization in a computational model of human cognition -- Decoding Action Observation Using Complex Brain Networks from Simultaneously Recorded EEG-fNIRS Signals -- Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier -- TP-ADMM: An Efficient Two-Stage Framework for Training Binary Neural Networks -- Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices In A Coarse-To-Fine Framework -- Exploration of Different Attention Mechanisms on Medical Image Segmentation -- Machine learning based method for Huntington's disease gait pattern recognition -- Research on Deep Learning-based Intelligent Diagnosis Algorithms for OCT Medical Images of Macular Edema -- Using (automated) machine learning and drug prescrip-tion records to predict mortality and polypharmacy in older type 2 diabetes mellitus patients -- Deep Vision System for Clinical Gait Analysis in and out of Hospital -- Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks -- Analysis of Key Face Parts to Detect Emotional Expression Using a Neural Network Model -- Multi-task Gated Contextual Cross-modal Attention Framework for Sentiment and Emotion Analysis -- A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning -- Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-Attention -- Sparse Graphic Attention LSTM for EEG Emotion Recognition -- Dynamic Facial Stress Recognition in Temporal Convolutional Network -- A Comparison of CasPer Against Other ML Techniques for Stress Recognition -- On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion -- A Hybrid Evolutionary Algorithm with Taboo and Competition Strategies for Minimum Vertex Cover Problem -- An Ant Colony System for Carpool Service Problem with High Seating Capacity -- Enhancing Artificial Bee Colony Algorithm with Directional Information -- Using Evolutionary Algorithms for Hyperparameter Tuning and Network Reduction Techniques to Classify Core Porosity Classes based on Petrographical Descriptions -- Using an Evolutionary Algorithm to optimise the hyper-parameters of a cascading neural network -- Instruction Cognitive One-Shot Malware Outbreak Detection -- A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering. |
| Record Nr. | UNINA-9910364953103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee
| Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (790 pages) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Artificial intelligence Computer vision Application software Computers, Special purpose Automated Pattern Recognition Artificial Intelligence Computer Vision Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN | 3-030-36708-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Adversarial Networks and Learning -- FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network -- Adversarial Learning for Cross-modal Retrieval with Wasserstein Distance -- Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization -- Multi-View Image Generation by Cycle CVAE-GAN Networks -- B-DCGAN: Evaluation of Binarized DCGAN for FPGA -- A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning -- Weakly Supervised Fine-Grained Visual Recognition via Adversarial Complementary Attentions and Hierarchical Bilinear Pooling -- Learning an Adversarial Network for Speech Enhancement under Extremely Low Signal-to-noise Ratio Condition -- HaGAN: hierarchical attentive adversarial learning for task-oriented dialogue system -- Learning to Generate Ambiguous Sequences -- Convolutional Neural Networks -- Deep Learning for Combo Object Detection -- DasNet: Dynamic Adaptive Structure for Accelerating Multi-Task Convolutional Neural Network -- Confusion-Aware Convolutional Neural Network for Image Classification -- Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection -- Self-Adaptive Network Pruning -- Text-Augmented Knowledge Representation Learning Based on Convolutional Network -- A novel online ensemble convolutional neural networks for streaming data -- Cross-Media Image-Text Retrieval Based on Two-Level Network -- Fusion Convolutional Attention Network for Opinion Spam Detection -- Deep CNN Based System for Detection and Evaluation of RoIs in Flooded Areas -- Deep Neural Networks -- Improving Deep Learning by Regularized Scale-free MSE of Representations -- Training behavior of deep neural network in frequency domain -- On The Initialization of Long Short-Term Memory Networks -- A Multi-cascaded Deep Model for Bilingual SMS Classification -- Low Resource Named Entity Recognition using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer -- An Analysis of the Interaction Between Transfer Learning Protocols in Deep Neural Networks -- Feature Learning and Representation -- Representation Learning for Heterogeneous Information Networks via Embedding Events -- Unified Framework for Visual Domain Adaptation Using Globality- Locality Preserving Projections -- Zero-shot Learning for Intrusion Detection via Attribute Representation -- Region Selection Model with Saliency Constraint for Fine-grained Recognition -- Siamese Net based Feature Learning for IDS -- Self-Attentive Pyramid Network for Single Image De-raining -- Human Centred Computing -- Feature Fusion Based Deep Spatiotemporal Model for Violence Detection in Videos -- Learning to Navigate in Human Environments via Deep Reinforcement Learning -- An Effective Yawn Behavior Detection Method in Classroom -- Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data -- Development of Biomedical Corpus Enlargement Platform Using BERT for Bio-entity Recognition -- A Generative Face Completion Method Based on Associative Memory -- White-Box Target Attack for EEG-Based BCI Regression Problems -- Human Centred Computing and Medicine -- Real-time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair -- Infra-slow Electroencephalogram Power is Associated with Reaction Time in Simple Discrimination Tasks -- Classifying Speech Data in Parkinson's Disease Based on Class Probability Output Networks -- ConvCaps: Multi-input capsule network for brain tumor classification -- G-ResNet: Improved ResNet for brain tumor classification -- Affinity Graph based End-to-End Deep Convolutional Networks for CT Hemorrhage Segmentation -- On the Stability of a Pass-thought Security System in Different Brain States -- Brain network decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE) -- Hybrid Models -- Accelerated training algorithms of general fuzzy min-max neural network using GPU for very high dimensional data -- Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification -- Evolving an Optimal Decision Template for Combining Classifiers -- Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for A Flexible Joint Manipulator -- Fuzzy Deep Neural Network for Classification of Overlapped Data -- On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization -- A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms -- Fuzzy Bilinear Latent Canonical Correlation Projection for Feature Learning -- Evolving Pictures in Image Transition Space -- Improved Multi-objective Evolutionary Subspace Clustering -- Network of Experts: Learning from evolving data streams through network-based ensembles -- Deep Extremely Randomized Trees -- International Workshop on Artificial Intelligence and Cybersecurity 2019 -- An advanced version of MDNet for visual tracking -- Enhanced LSTM with Batch Normalization -- Combating Threat-Alert Fatigue with Online Anomaly Detection using Isolation Forest. |
| Record Nr. | UNISA-996466198103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part III / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee
| Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part III / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (662 pages) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Artificial intelligence Computer vision Application software Computers, Special purpose Automated Pattern Recognition Artificial Intelligence Computer Vision Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN | 3-030-36718-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Semantic and Graph Based Approaches -- GL2vec: Graph Embedding Enriched by Line graphs with Edge Features -- Joint Semantic Hashing using Deep Supervised and Unsupervised Methods -- Label-Based Deep Semantic Hashing for Cross-Modal Retrieval -- HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation -- Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach -- SACIC: A Semantics-aware Convolutional Image Captioner using Multi-Level Pervasive Attention -- One Analog Neuron Cannot Recognize Deterministic Context-Free Languages -- Tag-based Semantic Features for Scene Image Classification -- Integrating TM Knowledge into NMT with Double Chain Graph -- Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure -- Visualizing Readable Instance Graphs of Ontology with Memo Graph -- Spiking Neuron and Related Models -- Hippocampus Segmentation in MRI Using Side U-Net Model -- AutoML for DenseNet Compression -- Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit -- Homeostasis-based CNN-to-SNN Conversion of Inception and Residual Architectures -- Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation -- Deep learning of EEG Data in the NeuCube Brain-inspired Spiking Neutral Network Architecture for a Better Understanding of Depression -- Text Computing Using Neural Techniques -- Watch and Ask: Video Question Generation -- Multi-Perspective Denoising Reader for Multi-Paragraph Reading Comprehension -- Models in the Wild: On Corruption Robustness of Neural NLP Systems -- Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization -- Target-Based Attention Model for Aspect-Level Sentiment Analysis -- Keyphrase Generation with Word Attention -- Dynamic Neural Language Models -- A Fast Convolutional Self-attention Based Speech Dereverberation Method for Robust Speech Recognition -- Option Attentive Capsule Network for Multi-choice Reading Comprehension -- Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning -- Paragraph-Level Hierarchical Neural Machine Translation -- Residual Connection-based Multi-step Reasoning via Commonsense Knowledge for Multiple Choice Machine Reading Comprehension -- Zero-Shot Transfer Learning Based on Visual and Textual Resemblance -- Morphological Knowledge Guided Mongolian Constituent Parsing -- BERT based Hierarchical Sequence Classification for Context-aware Microblog Sentiment Analysis -- Topic Aware Context Modelling for Conversation Response Generation -- What a Dialogue! A Deep Neural Framework for Contextual Affect Detection -- Improving student forum responsiveness: Detecting Duplicate Questions in Educational Forums -- Time-series and Related Models -- On Probability Calibration of Recurrent Text Recognition Network -- On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining -- Deep Hybrid Spatiotemporal networks for Continuous Pain Intensity Estimation -- Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology -- Deep Point-wise Prediction for Action Temporal Proposal -- Real-time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine -- Deep Spatial-Temporal Field for Human Head Orientation Estimation -- Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People -- Teacher-Student Learning and Post-Processing for Robust BiLSTM Mask-Based Acoustic Beamforming -- Maxout into MDLSTM for offline Arabic handwriting recognition -- Unsupervised Neural Models -- Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization -- Distance estimation for Quantum Prototypes based Clustering -- Accelerating Bag-of-Words with SOM -- A Deep Clustering-Guide Learning for Unsupervised Person Re-identification -- Semi-Supervised Deep Learning Using Unsupervised Discriminant Projection -- Unsupervised pre-training of the brain connectivity dynamic using residual D-net -- Clustering Ensemble Selection with Determinantal Point Processes -- Generative Histogram-based Model using Unsupervised Learning. |
| Record Nr. | UNISA-996466197303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part II / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee
| Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part II / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (723 pages) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Artificial intelligence Computer vision Application software Computers, Special purpose Automated Pattern Recognition Artificial Intelligence Computer Vision Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN | 3-030-36711-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Processing by Neural Techniques -- STNet: A Style Transformation Network for Deep Image Steganography -- Multi-person 3D Pose Estimation from Monocular Image Sequences -- Super-Resolution Network for General Static Degradation Model -- Feature Combination Based on Receptive Fields and Cross-Fusion Feature Pyramid for Object Detection -- Multi-scale Information Distillation Network for Image Super Resolution in NSCT Domain -- Image Denoising Networks with Residual Blocks and RReLUs -- Shape Description and Retrieval in a Fused Scale Space -- Only Image Cosine Embedding For Few-shot Learning -- Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes -- A Robustness and Low Bit-rate Image Compression Network for Underwater Acoustic Communication -- Gated Contiguous Memory U-Net for Single Image Dehazing -- Combined Correlation Filters With Siamese Region Proposal Network For Visual Tracking -- RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments -- A Novel Image-Based Malware Classification Model Using Deep Learning -- Visual Saliency Detection via Convolutional Gated Recurrent Units -- RBPNET:An asymptotic residual back-projection network for super resolution of very low resolution face image -- Accurate Single Image Super-Resolution using Deep Aggregation Network -- Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information -- Cross-View Image Retrieval - Ground to Aerial Image Retrieval through Deep Learning -- Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds -- Learning from Incomplete Data -- Improving Object Detection with Consistent Negative Sample Mining -- A model selection criterion for LASSO estimate with scaling -- Geometric mean metric learning for label distribution learning -- Explicit Center Selection and Training for Fault Tolerant RBF Networks -- Learning with Incomplete Labels for Multi-label Image Annotation using CNN and Restricted Boltzmann Machines -- Learning-Based Confidence Estimation for Multi-Modal Classifier Fusion -- Model Compression and Optimisation -- Siamese Network for Classification with Optimization of AUC -- Attention-based Audio-visual Fusion for Video Summarization -- RLDR-Pruning: Restricted Linear Dimensionality Reduction Approach for Model Compression -- Adaptive Neuro-Surrogate-Based Optimization Method for Wave Energy Converters Placement Optimization -- Lightweighted Modal Regression for stand alone embedded systems -- Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions -- Neural Learning Models -- Sparse Least Squares Low Rank Kernel Machines -- Proposal of online regularization for dynamical structure optimization in complex-valued neural networks -- Set Aggregation Network as a Trainable Pooling Layer -- Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence -- Conditionally Decorrelated Multi-Target Regression -- Local Near-optimal Control for Interconnected Systems with Time-varying Delays -- Neural Network Applications -- Transferring Tree Ensembles to Neural Networks -- Neuro-inspired System with Crossbar Array of Amorphous Metal-Oxide-Semiconductor Thin-Film Devices as Self-Plastic Synapse Units - Letter Recognition of Five Alphabets -- Barrier Function Based Consensus of High-order Nonlinear Multi-agent Systems With State Constraints -- Transformer-DW: A Transformer Network with Dynamic and Weighted Head -- Motion-based Occlusion-aware Pixel Graph Network for Video Object Segmentation -- Modeling Severe Traffic Accidents with Spatial and Temporal Features -- Sparse Dynamic Binary Neural Networks for Storage and Switching of Binary Periodic Orbits -- IMDB-Attire: A Novel Dataset for Attire Detection and Localization -- From Raw Signals to Human Skills Level in Physical Human-Robot Collaboration for Advanced-Manufacturing Applications -- Intelligent Image Retrieval Based on Multi-swarm of Particle Swarm Optimization and Relevance Feedback -- Achieving Human–Robot Collaboration with Dynamic Goal Inference by Gradient Descent -- Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation -- Social Network Computing -- Secure Outsourcing of Lattice Basis Reduction -- DARIM: Dynamic Approach for Rumor Influence Minimization in Online Social Networks -- SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning -- Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention -- Aligning users across Social Networks by Joint User And Label Consistence Representation -- Opinion Knowledge Injection Network for Aspect Extraction -- A Deep Matrix Factorization Method with Missing Not at Random Data for Social Recommendation -- Pluralistic Ignorance: a trade off between group-conformity and cognitive dissonance. |
| Record Nr. | UNISA-996466195003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee
| Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (790 pages) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Artificial intelligence Computer vision Application software Computers, Special purpose Automated Pattern Recognition Artificial Intelligence Computer Vision Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN | 3-030-36708-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Adversarial Networks and Learning -- FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network -- Adversarial Learning for Cross-modal Retrieval with Wasserstein Distance -- Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization -- Multi-View Image Generation by Cycle CVAE-GAN Networks -- B-DCGAN: Evaluation of Binarized DCGAN for FPGA -- A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning -- Weakly Supervised Fine-Grained Visual Recognition via Adversarial Complementary Attentions and Hierarchical Bilinear Pooling -- Learning an Adversarial Network for Speech Enhancement under Extremely Low Signal-to-noise Ratio Condition -- HaGAN: hierarchical attentive adversarial learning for task-oriented dialogue system -- Learning to Generate Ambiguous Sequences -- Convolutional Neural Networks -- Deep Learning for Combo Object Detection -- DasNet: Dynamic Adaptive Structure for Accelerating Multi-Task Convolutional Neural Network -- Confusion-Aware Convolutional Neural Network for Image Classification -- Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection -- Self-Adaptive Network Pruning -- Text-Augmented Knowledge Representation Learning Based on Convolutional Network -- A novel online ensemble convolutional neural networks for streaming data -- Cross-Media Image-Text Retrieval Based on Two-Level Network -- Fusion Convolutional Attention Network for Opinion Spam Detection -- Deep CNN Based System for Detection and Evaluation of RoIs in Flooded Areas -- Deep Neural Networks -- Improving Deep Learning by Regularized Scale-free MSE of Representations -- Training behavior of deep neural network in frequency domain -- On The Initialization of Long Short-Term Memory Networks -- A Multi-cascaded Deep Model for Bilingual SMS Classification -- Low Resource Named Entity Recognition using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer -- An Analysis of the Interaction Between Transfer Learning Protocols in Deep Neural Networks -- Feature Learning and Representation -- Representation Learning for Heterogeneous Information Networks via Embedding Events -- Unified Framework for Visual Domain Adaptation Using Globality- Locality Preserving Projections -- Zero-shot Learning for Intrusion Detection via Attribute Representation -- Region Selection Model with Saliency Constraint for Fine-grained Recognition -- Siamese Net based Feature Learning for IDS -- Self-Attentive Pyramid Network for Single Image De-raining -- Human Centred Computing -- Feature Fusion Based Deep Spatiotemporal Model for Violence Detection in Videos -- Learning to Navigate in Human Environments via Deep Reinforcement Learning -- An Effective Yawn Behavior Detection Method in Classroom -- Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data -- Development of Biomedical Corpus Enlargement Platform Using BERT for Bio-entity Recognition -- A Generative Face Completion Method Based on Associative Memory -- White-Box Target Attack for EEG-Based BCI Regression Problems -- Human Centred Computing and Medicine -- Real-time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair -- Infra-slow Electroencephalogram Power is Associated with Reaction Time in Simple Discrimination Tasks -- Classifying Speech Data in Parkinson's Disease Based on Class Probability Output Networks -- ConvCaps: Multi-input capsule network for brain tumor classification -- G-ResNet: Improved ResNet for brain tumor classification -- Affinity Graph based End-to-End Deep Convolutional Networks for CT Hemorrhage Segmentation -- On the Stability of a Pass-thought Security System in Different Brain States -- Brain network decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE) -- Hybrid Models -- Accelerated training algorithms of general fuzzy min-max neural network using GPU for very high dimensional data -- Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification -- Evolving an Optimal Decision Template for Combining Classifiers -- Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for A Flexible Joint Manipulator -- Fuzzy Deep Neural Network for Classification of Overlapped Data -- On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization -- A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms -- Fuzzy Bilinear Latent Canonical Correlation Projection for Feature Learning -- Evolving Pictures in Image Transition Space -- Improved Multi-objective Evolutionary Subspace Clustering -- Network of Experts: Learning from evolving data streams through network-based ensembles -- Deep Extremely Randomized Trees -- International Workshop on Artificial Intelligence and Cybersecurity 2019 -- An advanced version of MDNet for visual tracking -- Enhanced LSTM with Batch Normalization -- Combating Threat-Alert Fatigue with Online Anomaly Detection using Isolation Forest. |
| Record Nr. | UNINA-9910364954903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part II / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee
| Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part II / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (723 pages) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Artificial intelligence Computer vision Application software Computers, Special purpose Automated Pattern Recognition Artificial Intelligence Computer Vision Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN | 3-030-36711-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Processing by Neural Techniques -- STNet: A Style Transformation Network for Deep Image Steganography -- Multi-person 3D Pose Estimation from Monocular Image Sequences -- Super-Resolution Network for General Static Degradation Model -- Feature Combination Based on Receptive Fields and Cross-Fusion Feature Pyramid for Object Detection -- Multi-scale Information Distillation Network for Image Super Resolution in NSCT Domain -- Image Denoising Networks with Residual Blocks and RReLUs -- Shape Description and Retrieval in a Fused Scale Space -- Only Image Cosine Embedding For Few-shot Learning -- Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes -- A Robustness and Low Bit-rate Image Compression Network for Underwater Acoustic Communication -- Gated Contiguous Memory U-Net for Single Image Dehazing -- Combined Correlation Filters With Siamese Region Proposal Network For Visual Tracking -- RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments -- A Novel Image-Based Malware Classification Model Using Deep Learning -- Visual Saliency Detection via Convolutional Gated Recurrent Units -- RBPNET:An asymptotic residual back-projection network for super resolution of very low resolution face image -- Accurate Single Image Super-Resolution using Deep Aggregation Network -- Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information -- Cross-View Image Retrieval - Ground to Aerial Image Retrieval through Deep Learning -- Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds -- Learning from Incomplete Data -- Improving Object Detection with Consistent Negative Sample Mining -- A model selection criterion for LASSO estimate with scaling -- Geometric mean metric learning for label distribution learning -- Explicit Center Selection and Training for Fault Tolerant RBF Networks -- Learning with Incomplete Labels for Multi-label Image Annotation using CNN and Restricted Boltzmann Machines -- Learning-Based Confidence Estimation for Multi-Modal Classifier Fusion -- Model Compression and Optimisation -- Siamese Network for Classification with Optimization of AUC -- Attention-based Audio-visual Fusion for Video Summarization -- RLDR-Pruning: Restricted Linear Dimensionality Reduction Approach for Model Compression -- Adaptive Neuro-Surrogate-Based Optimization Method for Wave Energy Converters Placement Optimization -- Lightweighted Modal Regression for stand alone embedded systems -- Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions -- Neural Learning Models -- Sparse Least Squares Low Rank Kernel Machines -- Proposal of online regularization for dynamical structure optimization in complex-valued neural networks -- Set Aggregation Network as a Trainable Pooling Layer -- Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence -- Conditionally Decorrelated Multi-Target Regression -- Local Near-optimal Control for Interconnected Systems with Time-varying Delays -- Neural Network Applications -- Transferring Tree Ensembles to Neural Networks -- Neuro-inspired System with Crossbar Array of Amorphous Metal-Oxide-Semiconductor Thin-Film Devices as Self-Plastic Synapse Units - Letter Recognition of Five Alphabets -- Barrier Function Based Consensus of High-order Nonlinear Multi-agent Systems With State Constraints -- Transformer-DW: A Transformer Network with Dynamic and Weighted Head -- Motion-based Occlusion-aware Pixel Graph Network for Video Object Segmentation -- Modeling Severe Traffic Accidents with Spatial and Temporal Features -- Sparse Dynamic Binary Neural Networks for Storage and Switching of Binary Periodic Orbits -- IMDB-Attire: A Novel Dataset for Attire Detection and Localization -- From Raw Signals to Human Skills Level in Physical Human-Robot Collaboration for Advanced-Manufacturing Applications -- Intelligent Image Retrieval Based on Multi-swarm of Particle Swarm Optimization and Relevance Feedback -- Achieving Human–Robot Collaboration with Dynamic Goal Inference by Gradient Descent -- Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation -- Social Network Computing -- Secure Outsourcing of Lattice Basis Reduction -- DARIM: Dynamic Approach for Rumor Influence Minimization in Online Social Networks -- SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning -- Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention -- Aligning users across Social Networks by Joint User And Label Consistence Representation -- Opinion Knowledge Injection Network for Aspect Extraction -- A Deep Matrix Factorization Method with Missing Not at Random Data for Social Recommendation -- Pluralistic Ignorance: a trade off between group-conformity and cognitive dissonance. |
| Record Nr. | UNINA-9910364955203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part III / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee
| Neural Information Processing [[electronic resource] ] : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part III / / edited by Tom Gedeon, Kok Wai Wong, Minho Lee |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (662 pages) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Pattern recognition systems
Artificial intelligence Computer vision Application software Computers, Special purpose Automated Pattern Recognition Artificial Intelligence Computer Vision Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN | 3-030-36718-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Semantic and Graph Based Approaches -- GL2vec: Graph Embedding Enriched by Line graphs with Edge Features -- Joint Semantic Hashing using Deep Supervised and Unsupervised Methods -- Label-Based Deep Semantic Hashing for Cross-Modal Retrieval -- HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation -- Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach -- SACIC: A Semantics-aware Convolutional Image Captioner using Multi-Level Pervasive Attention -- One Analog Neuron Cannot Recognize Deterministic Context-Free Languages -- Tag-based Semantic Features for Scene Image Classification -- Integrating TM Knowledge into NMT with Double Chain Graph -- Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure -- Visualizing Readable Instance Graphs of Ontology with Memo Graph -- Spiking Neuron and Related Models -- Hippocampus Segmentation in MRI Using Side U-Net Model -- AutoML for DenseNet Compression -- Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit -- Homeostasis-based CNN-to-SNN Conversion of Inception and Residual Architectures -- Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation -- Deep learning of EEG Data in the NeuCube Brain-inspired Spiking Neutral Network Architecture for a Better Understanding of Depression -- Text Computing Using Neural Techniques -- Watch and Ask: Video Question Generation -- Multi-Perspective Denoising Reader for Multi-Paragraph Reading Comprehension -- Models in the Wild: On Corruption Robustness of Neural NLP Systems -- Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization -- Target-Based Attention Model for Aspect-Level Sentiment Analysis -- Keyphrase Generation with Word Attention -- Dynamic Neural Language Models -- A Fast Convolutional Self-attention Based Speech Dereverberation Method for Robust Speech Recognition -- Option Attentive Capsule Network for Multi-choice Reading Comprehension -- Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning -- Paragraph-Level Hierarchical Neural Machine Translation -- Residual Connection-based Multi-step Reasoning via Commonsense Knowledge for Multiple Choice Machine Reading Comprehension -- Zero-Shot Transfer Learning Based on Visual and Textual Resemblance -- Morphological Knowledge Guided Mongolian Constituent Parsing -- BERT based Hierarchical Sequence Classification for Context-aware Microblog Sentiment Analysis -- Topic Aware Context Modelling for Conversation Response Generation -- What a Dialogue! A Deep Neural Framework for Contextual Affect Detection -- Improving student forum responsiveness: Detecting Duplicate Questions in Educational Forums -- Time-series and Related Models -- On Probability Calibration of Recurrent Text Recognition Network -- On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining -- Deep Hybrid Spatiotemporal networks for Continuous Pain Intensity Estimation -- Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology -- Deep Point-wise Prediction for Action Temporal Proposal -- Real-time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine -- Deep Spatial-Temporal Field for Human Head Orientation Estimation -- Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People -- Teacher-Student Learning and Post-Processing for Robust BiLSTM Mask-Based Acoustic Beamforming -- Maxout into MDLSTM for offline Arabic handwriting recognition -- Unsupervised Neural Models -- Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization -- Distance estimation for Quantum Prototypes based Clustering -- Accelerating Bag-of-Words with SOM -- A Deep Clustering-Guide Learning for Unsupervised Person Re-identification -- Semi-Supervised Deep Learning Using Unsupervised Discriminant Projection -- Unsupervised pre-training of the brain connectivity dynamic using residual D-net -- Clustering Ensemble Selection with Determinantal Point Processes -- Generative Histogram-based Model using Unsupervised Learning. |
| Record Nr. | UNINA-9910364955003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||