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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 : 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 : 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
006.4 |
| 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 Annotationusing 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-TargetRegression -- 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 : 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 : 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
006.4 (edition:23) |
| 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 -- AutoMLfor 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 forRobust 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 | ||
| ||
Neural Information Processing : 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 : 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
006.4 (edition:23) |
| 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 : 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 : 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 systems
Computer vision Computer networks Machine learning Automated Pattern Recognition Computer Vision Computer Communication Networks Machine Learning |
| 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 : 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 : 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
006.4 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Pattern recognition systems
Computer vision Machine learning Computer networks Social sciences - Data processing Automated Pattern Recognition Computer Vision Machine Learning Computer Communication Networks Computer Application in Social and Behavioral Sciences Xarxes neuronals (Informàtica) Processament òptic de dades Reconeixement de formes (Informàtica) |
| 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 Modelsfor 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 | ||
| ||