yusuke1997/dblp-id-title huggingface dataset:
Transductive Cross-Lingual Scene-Text Visual Question Answering
Delayed Feedback Reservoir Computing with VCSEL
A Survey of Graph Curvature and Embedding in Non-Euclidean Spaces
Bi-MOCK: A Multi-objective Evolutionary Algorithm for Bi-clustering with Automatic Determination of the Number of Bi-clusters
fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings
Recalling of Many-Valued Functions by Successive Iteration on Bottleneck Networks
DGCN-rs: A Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-event Forecasting
Deep Salient Object Detection via Hierarchical Network Learning
TextBFA: Arbitrary Shape Text Detection with Bidirectional Feature Aggregation
A Classification Method of Darknet Traffic for Advanced Security Monitoring and Response
Landmark-Assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning
Artificial Neural Networks for Downbeat Estimation and Varying Tempo Induction in Music Signals
Personal Information Filtering System - An Application of Associative Memory
A Bayesian Local Linear Wavelet Neural Network
LITE: A Paradigm Shift in Multi-object Tracking with Efficient ReID Feature Integration
A Lightweight Text Classification Model Based on Label Embedding Attentive Mechanism
HMB-MCI: Multimodel Detector of Mild Cognitive Impairment Through Spontaneous Language Analysis
Relation-Guided Dual Hash Network for Unsupervised Cross-Modal Retrieval
Template Matching Based Video Tracking System Using a Novel N-Step Search Algorithm and HOG Features
A Computational Model of Match Decision-Making Problem Using Spiking SHESN with Reward-Modulated Reinforcement Learning
Teach to Hash: A Deep Supervised Hashing Framework with Data Selection
Rough-Set-Based Association Rules Applied to Brand Trust Evaluation Model
Unscented Kalman Filter-Trained MRAN Equalizer for Nonlinear Channels
SpotFast Networks with Memory Augmented Lateral Transformers for Lipreading
Few-Shot Class-Incremental Learning for EEG-Based Emotion Recognition
A Variant of Adaptive Mean Shift-Based Clustering
Learning-Based Confidence Estimation for Multi-modal Classifier Fusion
Correlation Guided Multi-teacher Knowledge Distillation
A Probability Click Tracking Model Analysis of Web Search Results
A Dynamic Pruning Strategy for Incremental Learning on a Budget
Wavelet Entropy Measure Based on Matching Pursuit Decomposition and Its Analysis to Heartbeat Intervals
Stationary Subspace Analysis as a Generalized Eigenvalue Problem
Learning of Subgoals for Goal-Oriented Behavior Control of Mobile Robots
Iterative Maximum Clique Clustering Based Detection Filter
Evolutionary Learning and Stability of Mixed-Rule Cellular Automata
Lability of Reactivated Human Declarative Memory
Investigation on a Special Group of Fuzzy Implication Operators and Fuzzy Inference Mechanisms Using a Simplified Rule Base System
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning
EEG Analysis of the Navigation Strategies in a 3D Tunnel Task
Towards a Brain-Inspired Developmental Neural Network by Adaptive Synaptic Pruning
Topic Modeling for Short Texts via Adaptive P$\acute{o}$lya Urn Dirichlet Multinomial Mixture
Empirical Analysis of Sampling Based Estimators for Evaluating RBMs
WINMLP: Quantum & Involution Inspire False Positive Reduction in Lung Nodule Detection
Trustworthiness and Confidence of Gait Phase Predictions in Changing Environments Using Interpretable Classifier Models
Face Recognition Using Weighted Modular Principle Component Analysis
Unleash the Capabilities of the Vision-Language Pre-training Model in Gaze Object Prediction
Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II
A Target-Reaching Controller for Mobile Robots Using Spiking Neural Networks
Adaptive Classification of Untypical Urinary Sediment Images Using Feedback Learning
Community Detection in Networks by Using Multiobjective Membrane Algorithm
Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons
Differential Fault Analysis Against AES Based on a Hybrid Fault Model
Attribution of Adversarial Attacks via Multi-task Learning
Random Sampling Weights Allocation Update for Deep Reinforcement Learning
TrafficS: A Behavior-Based Network Traffic Classification Benchmark System with Traffic Sampling Functionality
Robust and Optimum Features for Persian Accent Classification Using Artificial Neural Network
Reduction of FPs for Lung Nodules in MDCT by Use of Temporal Subtraction with Voxel-Matching Technique
Locality-Constrained Iterative Matrix Regression for Robust Face Hallucination
Iterative Appearance Learning with Online Multiple Instance Learning
Dempster-Shafer Fusion of Semi-supervised Learning Methods for Predicting Defaults in Social Lending
Maximum-Minimum Similarity Training for Text Extraction
Real-Time Scalp-Hemodynamics Artifact Reduction Using a Sliding-Window General Linear Model: A Functional Near-Infrared Spectroscopy Study
Face Hallucination Using Correlative Residue Compensation in a Modified Feature Space
Sparse Dynamic Binary Neural Networks for Storage and Switching of Binary Periodic Orbits
Camera Pose Estimation by an Artificial Neural Network
Advancing Respiratory Sound Classification: Integration of Audio Spectrogram Transformer with ConnectMix and NEFTune Augmentation
A Simple Data Selection Algorithm for RBF Networks and Its Application to Bifurcation Prediction
Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification
Model of Cue Extraction from Distractors by Active Recall
Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors
Color Image Vector Quantization Using Wavelet Transform and Enhanced Self-organizing Neural Network
Adaptive Skewness Kurtosis Neural Network : Enabling Communication Between Neural Nodes Within a Layer
Structure-Preserved Face Cartoonization
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part II
MusicCNNs: A New Benchmark on Content-Based Music Recommendation
Forecasting Crowd State in Video by an Improved Lattice Boltzmann Model
Inequalities of Generalization Errors for Layered Neural Networks in Bayesian Learning
Effective Handwriting Recognition System Using Geometrical Character Analysis Algorithms
Optimization of a Network with Gaussian Kernel Functions Based on Genetic Algorithm
Unsupervised Pre-training of the Brain Connectivity Dynamic Using Residual D-Net
I-RAFT: Optical Flow Estimation Model Based on Multi-scale Initialization Strategy
Cloud Monitoring Data Challenges: A Systematic Review
Predicting Software Defect Severity Level Using Deep-Learning Approach with Various Hidden Layers
Surface-Based Construction of Curvature Selectivity from the Integration of Local Orientations
Evaluating Accuracy in Prudence Analysis for Cyber Security
Rock Porosity Prediction Using Multilayer Perceptrons
Speaker Adaptation Based on Spectral Transformation with Limited Adaptation Words
ADGCN: A Weakly Supervised Framework for Anomaly Detection in Social Networks
Neuro Granular Networks with Self-learning Stochastic Connections: Fusion of Neuro Granular Networks and Learning Automata Theory
Neural Network Pruning via Genetic Wavelet Channel Search
MetaCRN: Language-Augmented Multimodal Metaphor Detection Using Cross-Modal Dynamic Replacement
The Brain and Brainway Computer
A Subspace Method Based on Data Generation Model with Class Information
Less Is Better: Fooling Scene Text Recognition with Minimal Perturbations
The Optimization of Kernel CMAC Based on BYY Learning
All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures
TinyPoseNet: A Fast and Compact Deep Network for Robust Head Pose Estimation
A Generalized I-ELM Algorithm for Handling Node Noise in Single-Hidden Layer Feedforward Networks
No-Reference Quality Assessment Based on Spatial Statistic for Generated Images
Peak Ground Velocity Evaluation by Artificial Neural Network for West America Region
A Study on Scheduling Function of a Magnetic Parameter in a Virtual Magnetic Diminuendo Method
An Abstraction of Functional Boundary Lines through Spatio-Time Pattern of Neural Activities
sEMG Based Joint Angle Estimation of Lower Limbs Using LS-SVM
Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games
A Possible Link between Artificial and Biological Neural Network Learning Rules
EL-LSTM: A Multivariate Time Series Forecasting Model Combining Spiking Neurons and Long Short-Term Memory Networks
Constrained Locally Weighted Regression for Process Modelling
Making a Robot Dance to Music Using Chaotic Itinerancy in a Network of FitzHugh-Nagumo Neurons
An Augmented-Reality Based Brain-Computer Interface for Robot Control
Global Stability of Cohen-Grossberg Neural Networks with Distributed Delays
A Suitable Neural Network to Detect Textile Defects
Combining Explicit Priors and Set Attention Driven Implicit Priors for Demonstration-Guided Reinforcement Learning
Combination of Dynamic Reservoir and Feedforward Neural Network for Time Series Forecasting
Intelligent Opinion Mining and Sentiment Analysis Using Artificial Neural Networks
Using Optimality to Predict Photoreceptor Distribution in the Retina
Genetic Programming with Controlled Crossover
Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods
Implementing Artificial Neural Networks in Analogue VLSI
Real-Time Anomaly Detection and Completion in Data Streams Based on RRCF and RTHaLRTC Tensor Completion
Reversible Data Hiding Using the Histogram Modification of Block Image
Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples
Statistical Analysis of a Randomly Stimulated Neuron
An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation
SGFusion: Camera-LiDAR Semantic and Geometric Fusion for 3D Object Detection
Tuning Hyperparameters for Gene Interaction Models in Genome-Wide Association Studies
Optimal Proposal Distribution FastSLAM with Suitable Gaussian Weighted Integral Solutions
Self Organizing Maps for Visualization of Categories
Random Projection Tree and Multiview Embedding for Large-Scale Image Retrieval
Weakly Supervised Temporal Action Detection with Shot-Based Temporal Pooling Network
Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction
Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention
Quantitative Modeling of Neuronal Dynamics in C. elegans
ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm
Gender Classification Using a New Pyramidal Neural Network
DeFusion: Aerial Image Matching Based on Fusion of Handcrafted and Deep Features
Distance Estimation for Quantum Prototypes Based Clustering
Leveraging Hierarchical Similarities for Contrastive Clustering
A Genetic Algorithm Solution for the Operation of Green LTE Networks with Energy and Environment Considerations
Code Summarization with Abstract Syntax Tree
Autoencoder-Based Collaborative Filtering
Improved BTC Algorithm for Gray Scale Images Using K-Means Quad Clustering
A Model of Logical Inference Like Association by Distributed Pattern Memory
MSK-Net: Multi-source Knowledge Base Enhanced Networks for Script Event Prediction
Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis
LUT-LIC: Look-Up Table-Assisted Learned Image Compression
FSE: a Powerful Feature Augmentation Technique for Classification Task
Keyphrase Generation with Word Attention
Clonal Selection Theory Based Artificial Immune System and Its Application
Transfer Metric Learning for Kinship Verification with Locality-Constrained Sparse Features
Improving the Quality of Load Forecasts Using Smart Meter Data
An Innovative Fingerprint Feature Representation Method to Facilitate Authentication Using Neural Networks
A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency Control
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part I
An Application of Translation Error to Brain Death Diagnosis
A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI
Fuzzy Signature Neural Networks for Classification: Optimising the Structure
Massive Multi-agent Mean-Field Game Using Online Federated Adaptive Critic-Density Learning
Learning Associative Reasoning Towards Systematicity Using Modular Networks
The Elastic Net as Visual Category Representation: Visualisation and Classification
Proposal of Ultra-Short-Pulse Acoustic Imaging Using Complex-Valued Spatio-temporal Neural-Network Null-Steering
Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers
Local Patch Dissimilarity for Images
Fuzzy Model for Detection and Estimation of the Degree of Autism Spectrum Disorder
A Motif-Based Graph Convolution Network for Stock Trend Prediction
Multi-level Visual Feature Enhancement Method for Visual Question Answering
How to Efficiently Use Color and Temporal Information for Video Understanding
Text Simplification with Self-Attention-Based Pointer-Generator Networks
Video-Driven Comprehensive 3D Hip Joint Motion Model for FAI Auxiliary Diagnosis
Classification of Hard and Soft Wheat Species Using Hyperspectral Imaging and Machine Learning Models
Hierarchical Bayesian Inference of Brain Activity
Deep Mixtures of Variational Autoencoders Model for Representation Learning and Clustering Tasks
Exploiting Non-visible Relationship in Link Prediction Based on Asymmetric Local Random Walk
Subject-Adaptive Real-Time BCI System
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases
Regularization Methods for the Restricted Bayesian Network BESOM
Models of Hopfield-Type Clifford Neural Networks and Their Energy Functions - Hyperbolic and Dual Valued Networks -
A Fast Algorithm for Local Rank Distance: Application to Arabic Native Language Identification
Solving the Local-Minimum Problem in Training Deep Learning Machines
Multi-view Emotion Recognition Using Deep Canonical Correlation Analysis
Towards Learning Inverse Kinematics with a Neural Network Based Tracking Controller
A Generalised Entropy Based Associative Model
Genetic Algorithms for the Design of Fuzzy Neural Networks
Analysis of Feature Weighting Methods Based on Feature Ranking Methods for Classification
Application Identification of Network Traffic by Reservoir Computing
Imagine that You are the Brain in a Robot!
Improving Multi-view Stereo with Contextual 2D-3D Skip Connection
Using Genetic Algorithm in Profile-Based Assignment of Applications to Virtual Machines for Greener Data Centers
A Metric Learning Method Based on Damped Momentum with Threshold
Triplet Mapping for Continuously Knowledge Distillation
Associated Lattice-BERT for Spoken Language Understanding
Residual Connection-Based Multi-step Reasoning via Commonsense Knowledge for Multiple Choice Machine Reading Comprehension
Difficulty Within Deep Learning Object-Recognition Due to Object Variance
Incremental Extreme Learning Machine via Fast Random Search Method
An Incremental Learning Method of GRBF with Re-Generation of Input Patterns - Application for Case Based Reasoning Systems
Basic Study on Particle Swarm Optimization with Hierarchical Structure for Constrained Optimization Problems
Neural Networks for fMRI Spatio-temporal Analysis
Examining Transfer Learning with Neural Network and Bidirectional Neural Network on Thermal Imaging for Deception Recognition
ICHEA - A Constraint Guided Search for Improving Evolutionary Algorithms
Single Sample Face Recognition Based on Global Local Binary Pattern Feature Extraction
Character-Aware Convolutional Neural Networks for Paraphrase Identification
An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation
A Line-Partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram
An Incremental Neural Network for Non-stationary Unsupervised Learning
End-to-End Edge Detection via Improved Transformer Model
BIN: A Bio-Signature Identification Network for Interpretable Liver Cancer Microvascular Invasion Prediction Based on Multi-modal MRIs
Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
Incremental Stability of Neural Networks with Switched Parameters and Time Delays via Contraction Theory of Multiple Norms
Networking Self-Organising Maps and Similarity Weight Associations
A Fuzzy Recognition Integrated Circuit
Prediction of Atmospheric Pollution by Particulate Matter Using a Neural Network
Finding Multiple Solutions in Order Based Problems Using a Multi-Chromosome Genetic Algorithm
Classifying Human Activities with Temporal Extension of Random Forest
NEOKNN: A Network Embedding Method Only Knowing Neighbor Nodes
VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning
Scene Memory on Competitively Growing Neural Network Using Temporal Coding: Self-organized Learning and Glance Recognizability
Object Tracking with Multi-sample Correlation Filters
Unitary Anomaly Detection for Ubiquitous Safety in Machine Health Monitoring
Learning to Coordinate via Multiple Graph Neural Networks
Towards a Comparative Theory of the Primates' Tool-Use Behavior
Combining Traffic Assignment and Traffic Signal Control for Online Traffic Flow Optimization
A Hybrid Approach Using Convolution and Transformer for Mongolian Ancient Documents Recognition
Rasterization System for Mobile Device
A Learning Based Recovery for Damaged Snake-Like Robots
S3ACH: Semi-Supervised Semantic Adaptive Cross-Modal Hashing
A Model of the Interactions between the Globus Pallidus and Subthalamic Nucleus
Understanding Dynamic Environments with Fuzzy Perception
Multiple Outlooks Learning with Support Vector Machines
Investigations into the Use of Supervised Multi-agents for Web Documents Categorization
Facial Expression Synthesis by Caricature
Phase Transitions of an Oscillator Neural Network with a Standard Hebb Learning Rule
A Novel Ant Colony Detection Using Multi-Region Histogram for Object Tracking
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks
Moving Vehicle Tracking Based on SIFT Active Particle Choosing
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation
Radial Basis Function Neural Networks to Foresee Aftershocks in Seismic Sequences Related to Large Earthquakes
A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusion
On the Objective Function and Learning Algorithm for Concurrent Open Node Fault
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XIII
Evaluation Protocol of Early Classifiers over Multiple Data Sets
ALV-Net: Adaptive Language and Visual Feature Fusion for Radiology Report Generation
Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions
Breaking the Heterophily Mixing Barrier in Graph Learning: A Mixed-Curvature Product Manifold Approach
Noise-Robust Iris Authentication Using Local Higher-Order Moment Kernels
Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
Effects of Cost Structure in Optimal Control on Biological Arm Movement: A Simulation Study
Approximation of Hybrid Systems by Neural Networks
Label Aggregation for Crowdsourced Triplet Similarity Comparisons
Evolution of Images with Diversity and Constraints Using a Generative Adversarial Network
Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition
Local Feature Selection in Text Clustering
Botnet Detection Method Based on NSA and DRN
Intrusion Detection Using Neural Networks: A Grid Computing Based Data Mining Approach
Saliency Level Set Evolution
A Generalization of the MURAI-KITADA-SATO Method of Generating Fuzzy k-Partitions
LCNet: A Light-Weight Network for Object Counting
Acceleration of Word2vec Using GPUs
Bearing Fault Diagnosis Based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions
Feature Selection Based on Fuzzy Conditional Distinction Degree
Scale-Aware Multi-stage Fusion Network for Crowd Counting
A Cross-subject and Cross-modal Model for Multimodal Emotion Recognition
Convergence Behavior of Competitive Repetition-Suppression Clustering
Target-Based Attention Model for Aspect-Level Sentiment Analysis
Temporal Continuity Based Unsupervised Learning for Person Re-identification
A Stochastic Approximation Algorithm for Quantile Estimation
A Hybrid Convolutional Neural Network-Bidirectional Long Short-Term Memory Approach for PPG-Based Stress Monitoring from Wrist Worn Wearables
Effective Domain Adaptation for Robust Dysarthric Speech Recognition
MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers
Learning Local Receptive Fields in Deep Belief Networks for Visual Feature Detection
A Spatio-Temporal Convolutional Neural Network for Skeletal Action Recognition
Continuous Vigilance Estimation Using LSTM Neural Networks
Towards IMACA: Intelligent Multimodal Affective Conversational Agent
Nested Relation Extraction Using Direct or Indirect Relations Between Entities
Cognitive Load Recognition Using Multi-threshold United Complex Network
Structure Adaptive Multilayer SOM with Partial Supervision for Numeral Recognition
Gray Scale Picture Transform into Binary Picture by Hopfield Neural Network
Data Partitioning Technique for Online and Incremental Visual SLAM
A Study on Initialization for BP Networks
TMRCP: A Trend-Matching Resources Coupled Prediction Method over Data Stream
Characteristic Prediction of a Varistor in Over-Voltage Protection Application
Stability Criterion of Discrete-Time Recurrent Neural Networks with Periodic Delays
DOTS: Drift Oriented Tool System
A Theoretical Framework for Multi-sphere Support Vector Data Description
Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework
Automatic Discovery of Subgoals in Reinforcement Learning Using Strongly Connected Components
AFFSRN: Attention-Based Feature Fusion Super-Resolution Network
Multi-scale Feature Edge Enhancement for Multi-view Stereo
Two Models for Theta Precession Generation Using the Complex Version of the Nagumo-Sato Neuron Model and the Hodgkin-Huxley Equations
A Lightweight Safety Helmet Detection Network Based on Bidirectional Connection Module and Polarized Self-attention
Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins
Naive Bayesian Multistep Speaker Recognition Using Competitive Associative Nets
Biologically Plausible and Efficient Learning
The Fifth International Conference on Neural Information Processing, ICONIP'R98, Kitakyushu, Japan, October 21-23, 1998, Proceedings
Marginal Spectrum Modulated Hilbert-Huang Transform: Application to Time Courses Extracted by Independent Vector Analysis of Resting-State fMRI Data
Human Localization by Fuzzy Spiking Neural Network Based on Informationally Structured Space
Versatile English Learning System Using Webpages as Learning Materials
OrgSwarm - A Particle Swarm Model of Organizational Adaptation
Continual Learning with Laplace Operator Based Node-Importance Dynamic Architecture Neural Network
Multi-perspective Denoising Reader for Multi-paragraph Reading Comprehension
On Properties of Genetic Operators from a Network Analytical Viewpoint
FEGI: A Fusion Extractive-Generative Model for Dialogue Ellipsis and Coreference Integrated Resolution
Facial Landmark Detection Under Large Pose
Handwritten Character Recognition Using a Fuzzy Associative Memory
A New Weight Adjusted Particle Swarm Optimization for Real-Time Multiple Object Tracking