yusuke1997/dblp-id-title huggingface dataset:
Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition
Hierarchical and Multi-scale Attention Network for Retinal Artery/Vein Segmentation and Diameter Estimation
A Constructive Neural Network using Adaptive Wavelet for Function Approximation
Control of Spurious Memories by Using Self-Coupling Weights
Knowledge Graph Embedding Based on Relevance and Inner Sequence of Relations
Video Restoration with Motion Prediction Based on the Multiresolution Wavelet Analysis
Single Neurons with Many Weak Presynaptic Terminals: Coding, Uncertainty and Information
Tuning Fuzzy Rules Based on Fuzzy Clustering and Neuro-Fuzzy Methods
DOS Dataset: A Novel Indoor Deformable Object Segmentation Dataset for Sweeping Robots
Long-Term Potentiation and Synaptic Coding of Time-Varying Inputs
A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks
Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning
Exploring Spatiotemporal Features for Activity Classifications in Films
Relationship between an Input Sequence and Asymmetric Connections Formed by Theta Phase Precession and STDP
Performances Evaluation of GMM-UBM and GMM-SVM for Speaker Recognition in Realistic World
Experimental Study of Ergodic Learning Curve in Hidden Markov Models
Comparing Computing Platforms for Deep Learning on a Humanoid Robot
A Neural Ensemble Approach for Segmentation and Classification of Road Images
Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification
Toward an Ensemble of Object Detectors
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I
Multi-relation Word Pair Tag Space for Joint Entity and Relation Extraction
Detecting Black IP Using for Classification and Analysis Through Source IP of Daily Darknet Traffic
RL-Based Explainable Factor Generation for Market Risk Analysis
Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part IV
Emergence of Different Mating Strategies in Artificial Embodied Evolution
Automatic Drum Transcription with Label Augmentation Using Convolutional Neural Networks
A Swarm Intelligence Approach to the Quadratic Multiple Knapsack Problem
Abnormal Activity Detection Using Spatio-Temporal Feature and Laplacian Sparse Representation
Nonlinear Effect on Phase Response Curve of Neuron Model
A Deep Learning Model for Early Prediction of Sepsis from Intensive Care Unit Records
Machine Learning Approach to Enhance the Design of Automated Theorem Provers
Very Deep Neural Networks for Hindi/Arabic Offline Handwritten Digit Recognition
A Neural Network Architecture for Accurate 4D Vehicle Pose Estimation from Monocular Images with Uncertainty Assessment
Delay-Dependent and Delay-Independent Stability Conditions of Delayed Cellular Neural Networks
TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context
Integrating Local Features into Discriminative Graphlets for Scene Classification
Detecting Adversarial Examples via Classification Difference of a Robust Surrogate Model
SMSF-Net: A Semantics-Driven Multiscale Selective Fusion Network for Object Detection in Remote Sensing Images
A Novel Model for Gabor-Based Independent Radial Basis Function Neural Networks and Its Application to Face Recognition
Phase Space Parameters for Neural Network Based Vowel Recognition
Vehicle Image Classification Based on Edge: Features and Distances Comparison
An Effective Implicit Multi-interest Interaction Network for Recommendation
Three-Dimensional Surface Feature for Hyperspectral Imagery Classification
Learning the Optimal Product Design Through History
Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation
Exploring the Capability of ChatGPT for Cross-Linguistic Agricultural Document Classification: Investigation and Evaluation
Neural Network Smoothing of Geonavigation Data on the Basis of Multilevel Regularization Algorithm
Face Recognition Using SVM Combined with CNN for Face Detection
Price Forecasting Using Dynamic Assessment of Market Conditions and Agent's Bidding Behavior
On the AER Stereo-Vision Processing: A Spike Approach to Epipolar Matching
Explainable Sparse Associative Self-optimizing Neural Networks for Classification
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength
Unsupervised Document Image Tampering Localization via Anomaly Detection
Feature Selection Method with Multi-Population Agent Genetic Algorithm
Will Outlier Tasks Deteriorate Multitask Deep Learning?
Robust Control of Uncertain Nonlinear Systems Based on Adaptive Dynamic Programming
A Dynamical Model of Stereopsis to Form 3-D Surfaces
Particle Swarm Optimization and Differential Evolution in Fuzzy Clustering
Multimodal Fusion with Global and Local Features for Text Classification
Emotion Annotation Using Hierarchical Aligned Cluster Analysis
Learning a Joint Representation for Classification of Networked Documents
Direct and Inverse Modelling of Turning Performances Using Neural Networks
Spatial-Temporal Attention Network with Multi-similarity Loss for Fine-Grained Skeleton-Based Action Recognition
A Deep Concatenated Convolutional Neural Network-Based Method to Classify Autism
Lagrange Programming Neural Networks for Sparse Portfolio Design
Real-Time Simulation of Aero-optical Distortions Due to Air Density Fluctuations at Supersonic Speed
Learning Visual Saliency Based on Object's Relative Relationship
Cross-Subject Classification of Speaking Modes Using fNIRS
Non-negative Matrix Factorization Based Text Mining: Feature Extraction and Classification
Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction
Generalized Kernel Normalized Mixed-Norm Algorithm: Analysis and Simulations
Fast Training with Maximum Covariance Initialized Centroid MLP
A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection
An Extension of the Consensus-Based Bundle Algorithm for Group Dependant Tasks with Equipment Dependencies
An Attention-Based Interaction-Aware Spatio-Temporal Graph Neural Network for Trajectory Prediction
Connectionist Analogical Inference in Relational Isomorphism Paradigm
Impulsive Constraint Control of Coupled Neural Network Model with Actual Saturation
An Empirical Study on the Robustness of SOM in Preserving Topology with Respect to Link Density
A Kernel Method to Extract Common Features Based on Mutual Information
Enhance Gesture Recognition via Visual-Audio Modal Embedding
A Study on Application of Reliability Based Automatic Repeat Request to Brain Computer Interfaces
Effect of Spatial Attention in Early Vision for the Modulation of the Perception of Border-Ownership
Document Versioning Using Feature Space Distances
Traffic Accident Forecasting Based on a GrDBN-GPR Model with Integrated Road Features
Temporal Signal Processing by Feedback SOM: An Application to On-line Character Recognition Task
A Simple Memory Module on Reading Comprehension
Effect of Image Down-sampling on Detection of Adversarial Examples
Encoding Multi-resolution Two-Stream CNNs for Action Recognition
STGCN-DHD: Spatio-Temporal Graph Convolutional Network for EEG-Based Driving Hazard Detection
A Method for Reducing the Forgetfulness of incremental Learning
Neural-Network-Based Sliding Mode Control for Missile Electro-Hydraulic Servo Mechanism
Feature Aware and Bilinear Feature Equal Interaction Network for Click-Through Rate Prediction
RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation
Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation
A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks
Assessing Reliability of Substation Spare Current Transformer System
Generative Generalized Zero-Shot Learning Based on Auxiliary-Features
Deep Clustering with Convolutional Autoencoders
Topic and Thematic Description for Movies Documents
Towards Human Keypoint Detection in Infrared Images
Lagrange Programming Neural Networks for Compressive Sampling
Recognition System of Pattern Similarity in Time Series Signals Using Neural Network being Composed of "Biochemical Neurons"
Construction of the General Physical Condition Judgments System Using Acceleration Plethysmogram Analysis Results
Fast Portrait Matting Using Spatial Detail-Preserving Network
Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning
Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering
A Self-adaptive Growing Method for Training Compact RBF Networks
A Feature Learning Approach for Image Retrieval
Efficient Direct Structured Subspace Clustering
A Fuzzy Multilevel Programming Method for Hierarchical Decision Making
Next POI Recommendation with Neighbor and Location Popularity
PAG: Protecting Artworks from Personalizing Image Generative Models
A Hybrid Framework Based on Classifier Calibration for Imbalanced Aerial Scene Recognition
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part II
Stream Quantiles via Maximal Entropy Histograms
Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions
Multi-scale Scanning Network for Machine Anomalous Sound Detection
Entropy-Guided Distillation for Medical Image Segmentation Under Missing Modalities
An Emotion Processing System Based on Subjective Observation
LCE: A Location Category Embedding Model for Predicting the Category Labels of POIs
Efficient Motor Babbling Using Variance Predictions from a Recurrent Neural Network
MCHPT: A Weakly Supervise Based Merchant Pre-trained Model
Real-Time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair
Deep Learning Features for Lung Adenocarcinoma Classification with Tissue Pathology Images
Reinforcement Learning-Based Consensus Reaching in Large-Scale Social Networks
"Flipped" University: LLM-Assisted Lifelong Learning Environment
High Dimensional Non-linear Modeling with Bayesian Mixture of CCA
Margin Preserving Projection for Image Set Based Face Recognition
Human-Object Interaction Detection with Channel Aware Attention
Turbulence Encountered Landing Control Using Hybrid Intelligent System
A New Vector Space Model Based on the Deep Learning
Algorithm for Generating Tire Defect Images Based on RS-GAN
A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems
Smooth Spatial Filter for Common Spatial Patterns
A Weighted Learning Vector Quantization Approach for Interval Data
A Unified Framework for Privacy Preserving Data Clustering
Two-Phase Semantic Retrieval for Explainable Multi-Hop Question Answering
A Global Interactive and Bottleneck Fusion Model for Multi-intent Spoken Language Understanding
Integrating TM Knowledge into NMT with Double Chain Graph
Mutual Diverse-Label Adversarial Training
Effect of Luminance Gradients in Measurement of Differential Limen
Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity
Human-in-the-Loop Generative Policy Learning from Demonstrations and Preferences
An Experimental Evaluation of the Cascade-Correlation Network in Pattern Recognition Problems
Fine-Grained Common Knowledge Learning for Domain Adaptive Few-Shot Relation Extraction
A Genetic Programming Based ECOC Algorithm for Microarray Data Classification
Constrained-Optimization-Based Bayesian Posterior Probability Extreme Learning Machine for Pattern Classification
On a Fitting of a Heaviside Function by Deep ReLU Neural Networks
Multi Object Tracking for Similar Instances: A Hybrid Architecture
Spontaneous Spatiotemporal Activity of a Hippocampal CA3 Network Model Which Depends on the Connectivity
Scene Recognition Based on Multi-feature Fusion for Indoor Robot
Intelligent Automated Guided Vehicle with Reverse Strategy: A Comparison Study
DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction
Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization
Encoder-Decoder Based CNN Structure for Microscopic Image Identification
An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting
Energy-Based Feature Selection and Its Ensemble Version
Hardware-Based Solutions Utilizing Random Forests for Object Recognition
Composite Data Mapping for Spherical GUI Design: Clustering of Must-Watch and No-Need TV Programs
Cross-domain Object Detection Model via Contrastive Learning with Style Transfer
Distant-Talking Speech Recognition with Microphone-Array Sound Pickup and NN/MLLR Environment Equalization
Online Object Tracking Based on Depth Image with Sparse Coding
On Weight-Noise-Injection Training
Transductive Learning with String Kernels for Cross-Domain Text Classification
A Hierarchy from alfa-EM Algorithm to Vector Quantization and Self Organization
An Interactive Evolutionary Algorithm for Ceramic Formula Design
MSCE: An Edge-Preserving Robust Loss Function for Improving Super-Resolution Algorithms
CDMC'19 - The 10th International Cybersecurity Data Mining Competition
Analysis and Application of Step Size of RK4 for Performance Measure of Predictability Horizon of Chaotic Time Series
Semi-supervised Support Vector Machines - A Genetic Algorithm Approach
Adaptive DDoS-Event Detection from Big Darknet Traffic Data
Identifying Self-admitted Technical Debt with Context-Based Ladder Network
Hybrid Framework to Image Segmentation
An Efficient Clustering Method for Massive Dataset Based on DC Programming and DCA Approach
Removing the Redundancy of Perceptrons in Terms of a Simple Energy Function
Cultivated Microorganisms Control a Real Robot: A Model of Dynamical Coupling between Internal Growth and Robot Movement
Fast Image Recognition with Gabor Filter and Pseudoinverse Learning AutoEncoders
A Multi-indicator Feature Selection for CNN-Driven Stock Index Prediction
Image Captioning Algorithm Based on Sufficient Visual Information and Text Information
Feature Extraction Based on Generating Bayesian Network
GCL-KGE: Graph Contrastive Learning for Knowledge Graph Embedding
Image Retrieval Using a Novel Color Similarity Measurement and Neural Networks
Classification of Alzheimer's Disease Based on Multiple Anatomical Structures' Asymmetric Magnetic Resonance Imaging Feature Selection
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part I
Self-organization on a Sphere with Application to Topological Ordering of Chinese Characters
A Distributed Computing Service for Neural Networks and Its Application to Flood Peak Forecasting
Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network
Semantic Line Detection Using Deep-Hough with Attention Mechanism and Strip Convolution
The Gammachirp for Optimal Auditory Filtering
Modified Lawn Weed Detection: Utilization of Edge-Color Based SVM and Grass-Model Based Blob Inspection Filterbank
Motor Imagery BCI-Based Online Control Soft Glove Rehabilitation System with Vibrotactile Stimulation
The Deep Input-Koopman Operator for Nonlinear Systems
Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes
Hierarchical Core Vector Machines for Network Intrusion Detection
Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction
Identifying Dominant Emotion in Positive and Negative Groups of Navarasa Using Functional Brain Connectivity Patterns
An Automated System for the Analysis of the Status of Road Safety Using Neural Networks
Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control
Developing GCN: Graph Convolutional Network with Evolving Parameters for Dynamic Graphs
Study on Supply Disruption Management of Supply Chain Based on Case-Based Reasoning
A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features
Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks
On Rationality of Decision Models Incorporating Emotion-Related Valuing and Hebbian Learning
Recent Studies Around the Neocognitron
Asymmetric Proximity Functions and their Applications
Short Term Load Forecasting (STLF) Using Artificial Neural Network Based Multiple Lags of Time Series
Cross-Domain Few-Shot Learning with Equiangular Embedding and Dynamic Adversarial Augmentation
Developmental Stereo: Topographic Iconic-Abstract Map from Top-Down Connection
OutIntSys - A Novel Method for the Detection of the Most Intelligent Cooperative Multiagent Systems
Fuzzy Bag-of-Topics Model for Short Text Representation
Agent Clustering and Information Sharing Underlying MADRQN for Traffic Light Cooperative Control
Monitoring Night Skies with Deep Learning
Neural Network Approach for Eigendecomposition of a Matrix
Robust Multi-view Spectral Clustering with Auto-encoder for Preserving Information
Testing Predictive Properties of Efficient Coding Models with Synthetic Signals Modulated in Frequency
SOM of SOMs: An Extension of SOM from 'Map' to 'Homotopy'
Bio-inspired Model of Spatial Cognition
Time Information in the Auditory System: Frequency, Amplitude, Macro and Micro
An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion
Label Selection Algorithm Based on Ant Colony Optimization and Reinforcement Learning for Multi-label Classification
A Generalized Subspace Projection Approach for Sparse Representation Classification
A Non-linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach
A Neural Network Based Classification of Human Blood Cells in a Multiphysic Framework
Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation
Sharpness-Aware Minimization for Out-of-Distribution Generalization
TAC-GAIL: A Multi-modal Imitation Learning Method
Accelerated Matrix Factorisation Method for Fuzzy Clustering
Learning of Action Generation from Raw Camera Images in a Real-World-Like Environment by Simple Coupling of Reinforcement Learning and a Neural Network
Hi-Stega: A Hierarchical Linguistic Steganography Framework Combining Retrieval and Generation
A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli
bfE 3 -MG: End-to-End Expert Linking via Multi-Granularity Representation Learning
A Multimodal Vigilance Monitoring System Based on Fuzzy Logic Architecture
Distance Function Learning in Error-Correcting Output Coding Framework
A Growing Algorithm for Training of RBF Density Estimation Network
CACL: Commonsense-Aware Contrastive Learning for Knowledge Graph Completion
Nonlinear Filtering Based on a Network with Gaussian Kernel Functions
Sparse Asynchronous Distributed Learning
Bifurcations of Renormalization Dynamics in Self-organizing Neural Networks
Mental Representation and Processing Involved in Comprehending Korean Regular and Irregular Verb Eojeols: An fMRI and Reaction Time Study
Neurodynamics-Based Nonnegative Matrix Factorization for Classification
Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold
A Pattern-Based Bayesian Classifier for Data Stream
ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-Aware Supervision Information
Optimization Design of Adaptive Loss Function Using Evolutionary Neural Networks
SRLI: Handling Irregular Time Series with a Novel Self-supervised Model Based on Contrastive Learning
Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection
Multi-dimensional Histogram-Based Image Segmentation
Feature Selection Using Smooth Gradient L 1/2 Regularization
Real-Time Inertial Foot-Ground Contact Detection Based on SVM
FedAKD: Heterogeneous Graph Federated Learning Framework Based on Data Augmentation and Knowledge Distillation
Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression
Learning to Generate Ambiguous Sequences
Cross-View Image Retrieval - Ground to Aerial Image Retrieval Through Deep Learning
RNN with a Recurrent Output Layer for Learning of Naturalness
Reproducibility Analysis of Event-Related fMRI Experiments Using Laguerre Polynomials
Decision Support System for Sustainable Transport Development
Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning
Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Data
Localized Multiple Sources Self-Organizing Map
Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting Model
Applications of Independent Component Analysis
Interpreting Layered Neural Networks via Hierarchical Modular Representation
Symbolic Solutions to Division by Zero Problem via Gradient Neurodynamics
Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations
Sparse Coding for Improved Signal-to-Noise Ratio in MRI
Enhancing Spatial Consistency and Class-Level Diversity for Segmenting Fine-Grained Objects
A Hierarchical Graph-Based Neural Network for Malware Classification
The Relationship Between the Movement Difficulty and Brain Activity Before Arm Movements
EMOTIONCAPS - Facial Emotion Recognition Using Capsules
Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting
A 160×120 Edge Detection Vision Chip for Neuromorphic Systems Using Logarithmic Active Pixel Sensor with Low Power Dissipation
Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies
A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression
Classification of Physiological Sensor Signals Using Artificial Neural Networks
Elimination of Redundant Neurons by Competitive Radial Basis Function Networks
LAF-YOLO: A Lightweight Architecture with Haar Wavelet Feature Learning for In-field Crop Disease Detection
Rotation, Translation, and Scaling Tolerant Recognition of Complex Shapes Using a Hierarchical Self-Organising Neural Network
A Modified Multiplicative Update Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization and Its Global Convergence
Closest Source Selection Using IVA and Characteristic of Mixing Channel
An Improved Random Walk Algorithm for Interactive Image Segmentation
Face Manipulation Detection via Auxiliary Supervision
Accelerating Spatio-Temporal Deep Reinforcement Learning Model for Game Strategy
Multi-view Consistency View Synthesis
Hardware Implementation of an Analog Neural Nonderivative Optimizer
Knowledge Graph Embedding via Entities' Type Mapping Matrix
Combining Deep Learning and Preference Learning for Object Tracking
Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG
Efficient Parsing of Word-Graphs for Speech Recognition
Dynamic Self-attention Gated Spatial-Temporal Graph Convolutional Network for Skeleton-Based Human Activity Recognition
An Incremental Approach to Solving Dynamic Constraint Satisfaction Problems
Temporal Pattern Discrimination Using the Brain Mimic Processor
Early Recognition Based on Co-occurrence of Gesture Patterns
Robust Visual Tracking by Hierarchical Convolutional Features and Historical Context
A Novel Shape-Based Image Classification Method by Featuring Radius Histogram of Dilating Discs Filled into Regular and Irregular Shapes
Semi-supervised Classification of Data Streams Based on Adaptive Density Peak Clustering
Learning Attentive Cooperation in Multi-agent Reinforcement Learning with Graph Convolutional Network
Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning
An Observation Angle Dependent Nonstationary Covariance Function for Gaussian Process Regression
An Attention Method to Introduce Prior Knowledge in Dialogue State Tracking
The Dynamic Signature Verification Using population-Based Vertical Partitioning