Search Results - (((( Human-animal remains ) OR ( Human-initial population ))) OR ((((( Human-animal companionship ) OR ( Human-((spatial relations) OR (spatial resolution)) ))) OR ( Human-((tribal national) OR (tribal nations)) ))))*

Brain informatics : 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings by International Conference on Brain Informatics Hoboken, N.J., SpringerLink (Online service)

Contents: “…Cognitive and Computational Foundations of Brain Science: Fusing Structural and Functional Connectivity using Disentangled VAE for Detecting MCI -- Modulation of Beta Power as a Function of Attachment Style and Feedback Valence -- Harnessing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian Geometry -- A Model of the Contribution of Interneuron Diversity to Recurrent Network Oscillation Generation and Information Coding -- Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex -- Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding -- Investigations of Human Information Processing Systems: Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative Evaluation -- Stabilize Sequential Data Representation via Attractor Module -- Investigating the Generative Dynamics of Energy-Based Neural Networks -- Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer's Disease -- Brain Big Data Analytics, Curation and Management: Effects of EEG Electrode Numbers on Deep Learning-Based Source Imaging -- Graph Diffusion Reconstruction Model for Addictive Brain-Network Computing -- MR Image Super-Resolution using Wavelet Diffusion for Predicting Alzheimer's Disease -- Classification of Event-Related Potential Signals with a Variant of UNet Algorithm using a Large P300 Dataset -- Dyslexia Data Consortium Repository: A Data Sharing and Delivery Platform for Research -- Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Comparison of Tree-based Machine Learning Algorithms for Survival Analysis -- Predicting Individual Differences from Brain Responses to Music: A Comparison of Functional Connectivity Measure -- Multiplex Temporal Networks for Rapid Mental Workload Classification -- Super-Resolution MRH Reconstruction for Mouse Models -- Bayesian Time Series Classifier for Decoding Simple Visual Stimuli from Intracranial Activity -- Variability of Non-parametric HRF in Interconnectedness and its Association in Deriving Resting State Network -- BrainSegNeT: A Lightweight Brain Tumor Segmentation Model based on U-Net and Progressive Neuron Expansion -- Improving Prediction Quality of Face Image Preference using Combinatorial Fusion Algorithm -- MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging -- Rejuvenating Classical Source Localization Methods with Spatial Graph Filters -- Prediction of Cannabis Addictive Patients with Graph Neural Networks -- Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks -- Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI -- Informatics Paradigms for Brain and Mental Health Research: Increasing the Power of Two-Sample T-Tests in Health Psychology using a Compositional Data Approach -- Estimating Dynamic Posttraumatic Stress Symptom Trajectories with Functional Data Analysis -- Comparison Between Explainable AI Algorithms for Alzheimer's Disease Prediction Using EfficientNet Models -- Social and Non-social Reward Learning Contexts for Detection of Major Depressive Disorder using EEG: A Machine Learning Approach -- Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images -- Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript -- Brain-Machine Intelligence and Brain-Inspired Computing -- Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding -- Automatic Sleep-Wake Scoring with Optimally Selected EEG Channels from High-Density EEG -- EEG Source Imaging of Hand Movement-Related Areas: An Evaluation of the Reconstruction Accuracy with Optimized Channels -- Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer's and Parkinson's Diseases -- Roe: A Computational-Efficient Anti-Hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process -- The 5th International Workshop on Cognitive Neuroscience of Thinking and Reasoning: Brain Intervention Therapy Dilemma: Functional Recovery versus Identity.…”
SpringerLink - Click here for access

Brain informatics : 15th International Conference, BI 2022, Padua, Italy, July 15-17, 2022, proceedings by International Conference on Brain Informatics Padua, Italy ; Online, SpringerLink (Online service)

Contents: “…Cognitive and Computational Foundations of Brain Science -- Estimating the Temporal Evolution of Synaptic Weights from Dynamic Functional Connectivity -- From concrete to abstract rules: A computational sketch -- Detection of Healthy and Unhealthy Brain States from Local Field Potentials using Machine Learning -- COSLETS: Recognition of Emotion Based on EEG signals -- Influences of Social Learning in Individual Perception and Decision Making in People with Autism: A Computational Approach -- Investigations of Human Information Processing Systems -- Analysis of Semantic Processes as an Indication for Focal Point Selection by Decomposing Alpha Frequency Band -- Toward the study of the neural-underpinnings of dyslexia during Final-phoneme Elision: A machine learning approach -- Root-Cause Analysis of Activation Cascade Differences in Brain Networks -- Unstructured Categorization with Probabilistic Feedback: Learning Accuracy versus Response Time -- Brain Big Data Analytics, Curation and Management -- Optimizing measures of information encoding in astrocytic calcium signals -- Introducing the Rank-Biased Overlap as Similarity measure for Feature Importance in Explainable Machine Learning: a case study on Parkinsons disease -- Prediction of neuropsychological scores from functional connectivity matrices using deep autoencoders -- Feature Fusion-Based Capsule Network for Cross-Subject Mental Workload Classification -- Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features -- Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction -- Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy based on Arousal State Detection from Multimodal Data -- Convex Hull in Brain Tumor Segmentation -- Informatics Paradigms for Brain and Mental Health Research -- Computer Added Diagnosis Framework for ADHD Detection using Quantitative EEG -- A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh -- Epilepsy Detection from EEG Data using a Hybrid CNN-LSTM Model -- Classifying Brain Tumor from MRI Images Using Parallel CNN Model -- Triplet-loss based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimers Disease -- Understanding syntax structure of language after a head injury -- A Belief Rule Based Expert System To Diagnose Alzheimers disease Using Whole Blood Gene Expression Data -- Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification -- Brain-Machine Intelligence and Brain-Inspired Computing -- Biologically Inspired Neural Path Finding -- A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning -- EEG signal classification using Shallow FBCSP ConvNet with a new cropping strategy -- Becoming Attuned To Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioural Adaptivity.…”
SpringerLink - Click here for access

Brain informatics : 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings by International Conference on Brain Informatics Online, SpringerLink (Online service)

Contents: SpringerLink - Click here for access

Neural information processing : 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, proceedings. Part III by ICONIP (Conference) Shanghai, China), SpringerLink (Online service)

Contents: “…Multi Agent Carbon Trading Incorporating Human Traits and Game Theory /…”
SpringerLink - Click here for access

Artificial neural networks and machine learning-ICANN 2014 : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings by International Conference on Artificial Neural Networks (European Neural Network Society) Hamburg, Germany), SpringerLink (Online service)

Contents: “…A neural dynamic architecture resolves phrases about spatial relations in visual scenes /…”
SpringerLink - Click here for access

Neural information processing : 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings. Part II by ICONIP (Conference) Taegu, Korea), SpringerLink (Online service)

Contents: SpringerLink - Click here for access

Neural information processing : 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings. Part I by ICONIP (Conference) Taegu, Korea), SpringerLink (Online service)

Contents: “…Exogenous and Endogenous Based Spatial Attention Analysis for Human Implicit Intention Understanding --…”
SpringerLink - Click here for access

Artificial intelligence in the age of neural networks and brain computing by ScienceDirect (Online service)

Contents: “…Vector associative maps for spatial representation and action --…”
Elsevier - Click here for access

Artificial neural networks and machine learning-- ICANN 2012 : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceeding... by ICANN 2012 Lausanne, Switzerland, SpringerLink (Online service)

Contents: “…Exploratory Behaviour Depends on Multisensory Integration during Spatial Learning /…”
SpringerLink - Click here for access

Advances in natural computation : second international conference, ICNC 2006, Xi'an, China, September 24-28, 2006 : proceedings by International Conference on Natural Computation Xi'an, Shaanxi Sheng, China, SpringerLink (Online service), International Conference on Fuzzy Systems and Knowledge Discovery

Contents: “…Liquid State Machine by Spatially Coupled Oscillators.…”
SpringerLink - Click here for access

Neural information processing : 29th International Conference, ICONIP 2022, virtual event, November 22-26, 2022, proceedings. Part III by ICONIP (Conference) Online), SpringerLink (Online service)

SpringerLink - Click here for access

Neural information processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings. Part III by ICONIP (Conference) Online), SpringerLink (Online service)

Contents: “…Cognitive Neurosciences -- A Novel Binary BCI Systems Based on Non-oddball Auditory and Visual Paradigms -- A Just-In-Time Compilation Approach for Neural Dynamics Simulation -- STCN-GR: Spatial-Temporal Convolutional Networks for Surface-Electromyography-Based Gesture Recognition -- Gradient descent learning algorithm based on spike selection mechanism for multilayer spiking neural networks -- Learning to Coordinate via Multiple Graph Neural Networks -- A Reinforcement Learning Approach for Abductive Natural Language Generation -- DFFCN: Dual Flow Fusion Convolutional Network for Micro Expression Recognition -- AUPro: Multi-label Facial Action Unit Proposal Generation for Sequence-level Analysis -- Deep kernelized network for fine-grained recognition -- Semantic Perception Swarm Policy with Deep Reinforcement Learning -- Reliable, Robust, and Secure Machine Learning Algorithms Open-Set Recognition with Dual Probability Learning -- How Much Do Synthetic Datasets Matter In Handwritten Text Recognition -- PCMO: Partial Classification from CNN-Based Model Outputs -- Multi-branch Fusion Fully Convolutional Network for Person Re-Identification -- Fast Organization of Objects Spatial Positions in Manipulator Space from Single RGB-D Camera -- EvoBA: An Evolution Strategy as a Strong Baseline for Black-Box Adversarial Attacks -- A Novel Oversampling Technique for Imbalanced Learning Based on SMOTE and Genetic Algorithm -- Dy-Drl2Op: Learning Heuristics for TSP on the Dynamic Graph via Deep Reinforcement Learning -- Multi-label classification of hyperspectral images based on label-specific feature fusion -- A Novel Multi-Scale Key-Point Detector Using Residual Dense Block and Coordinate Attention -- Alleviating Catastrophic Interference in Online Learning via Varying Scale of Backward Queried Data -- Construction and Reasoning for Interval-Valued EBRB Systems -- Theory and Applications of Natural Computing Paradigms -- Brain-mimetic Kernel: A Kernel Constructed from Human fMRI Signals Enabling a Brain-mimetic Visual Recognition Algorithm -- Predominant Sense Acquisition with a Neural Random Walk Model -- Processing-response dependence on the on-chip readout positions in spin-wave reservoir computing -- Advances in deep and shallow machine learning algorithms for biomedical data and imaging -- A Multi-Task Learning Scheme for Motor Imagery Signal Classification -- An End-to-End Hemisphere Discrepancy Network for Subject-Independent Motor Imagery Classification -- Multi-domain Abdomen Image Alignment Based on Joint Network of Registration and Synthesis -- Coordinate Attention Residual Deformable U-Net for Vessel Segmentation -- Gated Channel Attention Network for Cataract Classification on AS-OCT Image -- Overcoming Data Scarcity for Coronary Vessel Segmentation Through Self-Supervised Pre-Training -- Self-Attention Long-Term Dependency Modelling in Electroencephalography Sleep Stage Prediction -- ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos -- Enhancing Dermoscopic Features Classification in Images Using Invariant Dataset Augmentation and Convolutional Neural Networks -- Ensembles of Randomized Neural Networks for Pattern-based Time Series Forecasting -- Grouped Echo State Network with Late Fusion for Speech Emotion Recognition -- Applications -- MPANet: Multi-level Progressive Aggregation Network for Crowd Counting -- AFLLC: A Novel Active Contour Model based on Adaptive Fractional Order Differentiation and Local Linearly Constrained Bias Field -- DA-GCN: A Dependency-Aware Graph Convolutional Network for Emotion Recognition in Conversations -- Semi-Supervised Learning with Conditional GANs for Blind Generated Image Quality Assessment -- Uncertainty-Aware Domain Adaptation for Action Recognition -- Free-Form Image Inpainting with Separable Gate Encoder-decoder Network -- BERTDAN: Question-Answer Dual Attention Fusion Networks With Pre-trained Models for Answer Selection -- Rethinking the Effectiveness of Selective Attention in Neural Networks -- An Attention Method to Introduce Prior Knowledge in Dialogue State Tracking -- Effect of Input Noise Dimension in GANs -- Wiper Arm Recognition using YOLOv4 -- Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-shot Intent Detection Approach -- Constrained Generative Model for EEG Signals Generation -- Top-Rank Learning Robust to Outliers -- Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction -- Edge Guided Attention Based Densely Connected Network for Single Image Super-Resolution -- An Agent-Based Market Simulator for Back-testing Deep Reinforcement Learning Based Trade Execution Strategies -- Looking beyond the haze: A Pyramid Fusion Approach -- DGCN-rs: a Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-Event Forecasting -- Training Graph Convolutional Neural Network against Label Noise -- An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes.…”
SpringerLink - Click here for access

Neural information processing : 30th international conference, ICONIP 2023, Changsha, China, November 20-23, 2023, proceedings. Part V by ICONIP (Conference) Changsha, China), SpringerLink (Online Service)

Contents: “…Text to Image Generation with Conformer-GAN -- MGFNet: A Multi-Granularity Feature Fusion and Mining Network for Visible-Infrared Person Re-Identification -- Isomorphic Dual-Branch Network for Non-homogeneous Image Dehazing and Super-Resolution -- Hi-Stega : A Hierarchical Linguistic Steganography Framework Combining Retrieval and Generation -- Effi-Seg: Rethinking EfficientNet Architecture for Real-time Semantic Segmentation -- Quantum Autoencoder Frameworks for Network Anomaly Detection -- Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement -- Intelligent trajectory tracking control of unmanned parafoil system based on SAC optimized LADRC -- CATS: Connection-aware and Interaction-based Text Steganalysis in Social Networks -- Syntax Tree Constrained Graph Network for Visual Question Answering -- CKR-Calibrator: Convolution Kernel Robustness Evaluation and Calibration -- SGLP-Net: Sparse Graph Label Propagation Network for Weakly-Supervised Temporal Action Localization -- VFIQ: A Novel Model of ViT-FSIMc Hybrid Siamese Network for Image Quality Assessment -- Spiking Reinforcement Learning for Weakly-supervised Anomaly Detection -- Resource-aware DNN Partitioning for Privacy-sensitive Edge-Cloud Systems -- A frequency reconfigurable multi-mode printed antenna -- Multi-view Contrastive learning for Knowledge-aware Recommendation -- PYGC: a PinYin Language Model Guided Correction Model for Chinese Spell Checking -- Empirical Analysis of Multi-label Classification on GitterCom using BERT -- A lightweight safety helmet detection network based on bidirectional connection module and Polarized Self-Attention -- Direct Inter-Intra View Association for Light Field Super-Resolution -- Responsive CPG-Based Locomotion Control for Quadruped Robots -- Vessel Behavior Anomaly Detection using Graph Attention Network -- TASFormer: Task-aware Image Segmentation Transformer -- Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval -- TKGR-RHETNE：A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context -- High-Resolution Self-Attention with Fair Loss for Point Cloud Segmentation -- Transformer-based Video Deinterlacing Method -- SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack -- CSEC: A Chinese Semantic Error Correction Dataset for Written Correction -- Contrastive Kernel Subspace Clustering -- UATR: An Uncertainty Aware Two-stage Refinement Model for Targeted Sentiment Analysis -- AttIN: Paying More Attention to Neighborhood Information for Entity Typing in Knowledge Graphs -- Text-based Person Re-ID by Saliency Mask and Dynamic Label Smoothing -- Robust Multi-view Spectral Clustering with Auto-encoder for Preserving Information -- Learnable Color Image Zero-Watermarking Based on Feature Comparison -- P-IoU: Accurate Motion Prediction based Data Association for Multi-Object Tracking -- WCA-VFnet:a dedicated complex forest smoke fire detector -- Label Selection Algorithm Based on Ant Colony Optimization and Reinforcement Learning for Multi-label Classification -- Reversible Data Hiding Based on Adaptive Embedding with Local Complexity -- Generalized Category Discovery with Clustering Assignment Consistency -- CInvISP: Conditional Invertible Image Signal Processing Pipeline -- Ignored Details in Eyes: Exposing GAN-generated Faces by Sclera -- A Developer Recommendation Method Based on Disentangled -- Graph Convolutional Network -- Novel Method for Radar Echo Target Detection.…”
SpringerLink - Click here for access

Neural information processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings. Part IV by ICONIP (Conference) Sydney, N.S.W.), SpringerLink (Online service)

Contents: “…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.…”
SpringerLink - Click here for access

Neural information processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings. Part I by ICONIP (Conference) Online), SpringerLink (Online service)

Contents: “…Theory and Algorithms -- Metric Learning Based Vision Transformer for Product Matching -- Stochastic Recurrent Neural Network for Multistep Time Series Forecasting -- Speaker Verification with Disentangled Self-Attention -- Multi Modal Normalization -- A Focally Discriminative Loss for Unsupervised Domain Adaptation -- Automatic Drum Transcription with Label Augmentation using Convolutional Neural Networks -- Adaptive Curriculum Learning for Semi-Supervised Segmentation of 3D CT-Scans -- Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX -- Stack Multiple Shallow Autoencoders into A Strong One: A New Reconstruction-based Method to Detect Anomaly -- Learning Discriminative Representation with Attention and Diversity for Large-scale Face Recognition -- Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network -- RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation -- Sentence Rewriting with Few-Shot Learning for Document-Level Event Coreference Resolution -- A Novel Metric Learning Framework for Semi-supervised Domain Adaptation -- Generating Adversarial Examples by Distributed Upsampling -- CPSAM: Channel and Position Squeeze Attention Module -- A Multi-Channel Graph Attention Network for Chinese NER -- GSNESR: A Global Social Network Embedding Approach for Social Recommendation -- Classification Models for Medical Data with Interpretative Rules -- Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning -- Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing -- MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing -- One-Stage Open Set Object Detection with Prototype Learning -- Aesthetic-aware Recommender System for Online Fashion Products -- DAFD: Domain Adaptation Framework for Fake News Detection -- Document Image Classification Method based on Graph Convolutional Network -- Continual Learning of 3D Point Cloud Generators -- Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process -- Generation of a Large-Scale Line Image Dataset with Ground Truth Texts from Page-Level Autograph Documents -- DAP-BERT: Differentiable Architecture Pruning of BERT -- Trash Detection On Water Channels -- Tri-Transformer Hawkes Process: Three Heads are better than one -- PhenoDeep: A deep Learning-based approach for detecting reproductive organs from digitized herbarium specimen images -- Document-level Event Factuality Identification using Negation and Speculation Scope -- Dynamic Network Embedding by Time-Relaxed Temporal Random Walk -- Dual-band Maritime Ship Classification based on Multi-layer Convolutional Features and Bayesian Decision -- Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring -- Domain-Adaptation Person Re-Identification via Style Translation and Clustering -- Multimodal Named Entity Recognition Via Co-attention-based Method with Dynamic Visual Concept Expansion -- Ego Networks -- Cross-modal based Person Re-Identification via Channel Exchange and adversarial Learning -- SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs -- Deep Neuroevolution: Training Neural Networks using a Matrix-free Evolution Strategy -- Weighted P-Rank: A Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network -- Clustering Friendly Dictionary Learning -- Understanding Test-Time Augmentation -- SphereCF: Sphere Embedding for Collaborative Filtering -- Concordant Contrastive Learning for Semi-supervised Node Classification on Graph -- Improving Shallow Neural Networks via Local and Global Normalization -- Underwater Acoustic Target Recognition with Fusion Feature -- Evaluating Data Characterization Measures for Clustering Problems in Meta-learning -- ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-aware Supervision Information -- Image Periodization for Convolutional Neural Networks -- BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease -- Triplet Mapping for Continuously Knowledge Distillation -- A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection.…”
SpringerLink - Click here for access

Neural information processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings. Part IV by ICONIP (Conference) Online), SpringerLink (Online service)

Contents: “…Applications -- Deep Supervised Hashing By Classification For Image Retrieval -- Towards Human-level Performance in Solving Double Dummy Bridge Problem -- Coarse-to-Fine Visual Place Recognition -- BFConv: Improving Convolutional Neural Networks with Butterfly Convolution -- Integrating Rich Utterance Features for Emotion Recognition in Multi-party Conversations -- Vehicle Image Generation Going Well with the Surroundings -- Scale Invariant Domain Generalization Image Recapture Detection -- Tile2Vec with Predicting Noise for Land Cover Classification -- A Joint Representation Learning Approach for Social Media Tag Recommendation -- Identity-based Data Augmentation via Progressive Sampling for One-Shot Person Re-identification -- Feature Fusion Learning Based on LSTM and CNN Networks for Trend Analysis of Limit Order Books -- WikiFlash: Generating Flashcards from Wikipedia Articles -- Video Face Recognition with Audio-Visual Aggregation Network -- WaveFuse: A Unified Unsupervised Framework for Image Fusion with Discrete Wavelet Transform -- Manipulation-invariant Fingerprints for Cross-dataset Deepfake Detection -- Low-resource Neural Machine Translation Using Fast Meta-Learning method -- Efficient, Low-Cost, Real-Time Video Super-Resolution Network -- On the Unreasonable Effectiveness of Centroids in Image Retrieval -- Few-shot Classification with Multi-task Self-supervised Learning -- Self-Supervised Compressed Video Action Recognition via Temporal-Consistent Sampling -- Stack-VAE network for Zero-Shot Learning -- TRUFM: a Transformer-guided Framework for Fine-grained Urban Flow Inference -- Saliency Detection Framework Based on Deep Enhanced Attention Network -- SynthTriplet GAN: Synthetic Query Expansion for Multimodal Retrieval -- SS-CCN: Scale Self-guided Crowd Counting Network -- QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment -- An Efficient Manifold Density Estimator for All Recommendation Systems -- Cleora: A Simple, Strong and Scalable Graph Embedding Scheme -- STA3DCNN: Spatial-temporal Attention 3D Convolutional Neural Network for Citywide Crowd Flow Prediction -- Learning Pre-Grasp Pushing Manipulation of Wide and Flat Objects using Binary Masks -- Multi-DIP: A General Framework For Unsupervised Multi-degraded Image Restoration -- Multi-Attention Network for Arbitrary Style Transfer -- Image Brightness Adjustment with Unpaired Training -- Self-Supervised Image-to-Text and Text-to-Image Synthesis -- TextCut: A Multi-region Replacement Data Augmentation Approach for Text Imbalance Classification -- A Multi-task Model for Sentiment aided Cyberbullying Detection in Code-Mixed Indian Languages -- A Transformer-based Model for Low-resource Event Detection -- Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning -- Designing and Searching for Lightweight Monocular Depth Network -- Improving Question Answering over Knowledge Graphs Using Graph Summarization -- Multi-Stage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction -- End-to-End Edge Detection via Improved Transformer Model -- Isn't it ironic, don't you think -- Neural Local and Global Contexts Learning for Word Sense Disambiguation -- Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification -- Paraphrase Identification with Neural Elaboration Relation Learning -- Hybrid DE-MLP-based Modeling Technique for Prediction of Alloying Element Proportions and Process Parameters -- A Mutual Information-based Disentanglement Framework for Cross-Modal Retrieval -- AGRP:A Fused Aspect-Graph Neural Network for Rating Prediction -- Classmates Enhanced Diversity-self-attention Network for Dropout Prediction in MOOCs -- A Hierarchical Graph-based Neural Network for Malware Classification -- A Visual Feature Detection Algorithm Inspired by Spatio-temporal Properties of Visual Neurons -- Knowledge Distillation Method for Surface Defect Detection -- Adaptive Selection of Classifiers for Person Recognition by Iris Pattern and Periocular Image -- Multi-Perspective Interactive Model for Chinese Sentence Semantic Matching -- An Effective Implicit Multi-Interest Interaction Network for Recommendation.…”
SpringerLink - Click here for access

Artificial neural networks and machine learning -- ICANN 2020 : 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceeding... by International Conference on Artificial Neural Networks (European Neural Network Society) Bratislava, Slovakia), SpringerLink (Online service)

Contents: “…Adversarial Machine Learning -- On the security relevance of initial weights in deep neural networks -- Fractal Residual Network for Face Image Super-Resolution -- From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders -- Generating Adversarial Texts for Recurrent Neural Networks -- Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation -- Computational Analysis of Robustness in Neural Network Classifiers -- Bioinformatics and Biosignal Analysis -- Convolutional neural networks with reusable full-dimension-long layers for feature selection and classification of motor imagery in EEG signals -- Compressing Genomic Sequences by Using Deep Learning -- Learning Tn5 sequence bias from ATAC-seq on naked chromatin -- Tucker tensor decomposition of multi-session EEG data -- Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models -- Cognitive Models -- Investigating Efficient Learning and Compositionality in Generative LSTM Networks -- Fostering Event Compression using Gated Surprise -- Physiologically-inspired Neural Circuits for the Recognition of Dynamic Faces -- Hierarchical Modeling with Neurodynamical Agglomerative Analysis -- Convolutional Neural Networks and Kernel Methods -- Deep and Wide Neural Networks Covariance Estimation -- Monotone deep Spectrum Kernels -- Permutation Learning in Convolutional Neural Networks for Time Series Analysis -- Deep Learning Applications I -- GTFNet: Ground Truth Fitting Network for Crowd Counting -- Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography -- Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision -- Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-Learning -- Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders -- Deep Learning Applications II -- Novel Sketch-based 3D Model Retrieval via Cross-domain Feature Clustering and Matching -- Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search -- DeepED: a Deep Learning Framework for Estimating Evolutionary Distances -- Interpretable Machine Learning Structure for an Early Prediction of Lane Changes -- Explainable Methods -- Convex Density Constraints for Computing Plausible Counterfactual Explanations -- Identifying Critical States by the Action-Based Variance of Expected Return -- Explaining Concept Drift by Means of Direction -- Few-shot Learning -- Context Adaptive Metric Model for Meta-Learning -- Ensemble-Based Deep Metric Learning for Few-Shot Learning -- More Attentional Local Descriptors for Few-shot Learning -- Implementation of Siamese-based Few-shot Learning Algorithms for the Distinction of COPD and Asthma Subjects -- Few-Shot Learning for Medical Image Classification -- Generative Adversarial Network -- Adversarial Defense via Attention-based Randomized Smoothing -- Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise -- Unsupervised Anomaly Detection with a GAN Augmented Autoencoder -- An Efficient Blurring-Reconstruction Model to Defend against Adversarial Attacks -- EdgeAugment: Data Augmentation by Fusing and Filling Edge Map -- Face Anti-spoofing with a Noise-Attention Network Using Color-Channel Difference Images -- Generative and Graph Models -- Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech -- Improved Classification Based on Deep Belief Networks -- Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data -- Inferring, Predicting, and Denoising Causal Wave Dynamics -- PART-GAN: Privacy-Preserving Time-Series Sharing -- EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs -- Hybrid Neural-symbolic Architectures -- Facial Expression Recognition Method based on a Part-based Temporal Convolutional Network with a Graph-Structured Representation -- Generating Facial Expressions Associated with Text -- Image Processing -- Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models -- Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases -- Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE) -- SOM-based System for Sequence Chunking and Planning -- Bilinear Models for Machine Learning -- Enriched Feature Representation and Combination for Deep Saliency Detection -- Spectral Graph Reasoning Network for Hyperspectral Image Classification -- Salient Object Detection with Edge Recalibration -- Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image Recognition -- A New Efficient Finger-Vein Verification Based on Lightweight Neural Network Using Multiple Schemes -- Medical Image Processing -- SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation -- Synthesis of Registered Multimodal Medical Images with Lesions -- ACE-Net: Adaptive Context Extraction Network for Medical Image Segmentation -- Wavelet U-Net for Medical Image Segmentation -- Recurrent Neural Networks -- Character-based LSTM-CRF with semantic features for Chinese Event Element Recognition -- Sequence Prediction using Spectral RNNs -- Attention Based Mechanism for Energy Load Time Series Forecasting: AN-LSTM -- DartsReNet: Exploring new RNN cells in ReNet architectures -- On Multi-modal Fusion for Freehand Gesture Recognition -- Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data.…”
SpringerLink - Click here for access

Neural information processing : 30th international conference, ICONIP 2023, Changsha, China, November 20-23, 2023, proceedings. Part IV by ICONIP (Conference) Changsha, China), SpringerLink (Online Service)

Contents: SpringerLink - Click here for access

On the construction of artificial brains by SpringerLink (Online service)

SpringerLink - Click here for access

Neural information processing : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings. Part III by ICONIP (Conference) Kuching, Malaysia), SpringerLink (Online service)

Contents: “…Signal and Image Processing -- Real Time Crowd Counting with Human Detection and Human Tracking -- A new method for removing random-valued impulse noise -- CTR Prediction for DSP with Improved Cube Factorization Model from Historical Bidding Log -- Image Retrieval using a Novel Color Similarity Measurement and Neural Networks -- Bottom-Up Visual Saliency Using Binary Spectrum of Walsh-Hadamard Transform -- Sonification for EEG Frequency Spectrum and EEG-based Emotion Features -- Forecasting Crowd State in Video by an improved Lattice Boltzmann Model Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems -- Calibrating Independent Component Analysis with Laplacian Reference for Real-time EEG Artifact Removal -- Unsupervised Segmentation Using Cluster Ensembles -- Similar-video retrieval via learned exemplars and time-warped alignment -- Automatic Image Annotation Exploiting Textual and Visual Saliency -- Classification of fish ectoparasite genus Gyrodactylus SEM images using ASM and complex network model. …”
SpringerLink - Click here for access