yusuke1997/dblp-id-title huggingface dataset:
Mutual Information Analyses of Chaotic Neurodynamics Driven by Neuron Selection Methods in Synchronous Exponential Chaotic Tabu Search for Quadratic Assignment Problems
Top-Rank Learning Robust to Outliers
A Novel Sports Video Logo Detector Based on Motion Analysis
From Signal to Image Then to Feature: Decoding Pigeon Behavior Outcomes During Goal-Directed Decision-Making Task Using Time-Frequency Textural Features
Multi-Task Learning Using Shared and Task Specific Information
A Comparative Study of Transformers on Word Sense Disambiguation
Improving Personal Credit Scoring with HLVQ-C
Log Analysis of Exploitation in Cloud Computing Environment Using Automated Reasoning
Contour-Based Large Scale Image Retrieval
Enhancing Convnets with Pruning and Symmetry-Based Filter Augmentation
Incremental Learning Method for Unified Camera Calibration
Learning Nonadjacent Dependencies with a Recurrent Neural Network
Efficient Lightweight Network with Transformer-Based Distillation for Micro-crack Detection of Solar Cells
Data Augmentation Based Stock Trend Prediction Using Self-organising Map
Echo State Network Ensemble for Human Motion Data Temporal Phasing: A Case Study on Tennis Forehands
Pinning Synchronization in Heterogeneous Networks of Harmonic Oscillators
Applicability of ICA-Based Dimension Reduction in Fuzzy c-Means-Based Classifier
A Wearable Cognitive Vision System for Navigation Assistance in Indoor Environment
Real-Time EEG-based Human Emotion Recognition
Research on Natural Disaster Risk Assessment Model Based on Support Vector Machine and Its Application
An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping
Incremental Learning for Pattern Classification
Continuous Boundary Approximation from Data Samples Using Bidirectional Hypersphere Transformation Networks
Learning Multi-dimensional Parallax Prior for Stereo Image Super-Resolution
Graph Attention Transformer Network for Robust Visual Tracking
Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activity
Frequency Spectrum with Multi-head Attention for Face Forgery Detection
A Knowledge-Based Initial Population Generation in Memetic Algorithm for Protein Structure Prediction
Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks
Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Reducing Verification Errors
ND-NER: A Named Entity Recognition Dataset for OSINT Towards the National Defense Domain
Threshold Visual Secret Sharing Based on Boolean Operations and Random Grids
Improving Out-of-Distribution Detection with Margin-Based Prototype Learning
Learning and Bifurcation Diagram of Recurrent Neural Networks
Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information
Visual Saliency Based Blind Image Quality Assessment via Convolutional Neural Network
Sparse Linear Capsules for Matrix Factorization-Based Collaborative Filtering
Learning Visual Object Categories and Their Composition Based on a Probabilistic Latent Variable Model
On Training of MLP with Adaptive Neuron Specific Preprocessing Units
Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis
Accumulator Based Arbitration Model for both Supervised and Reinforcement Learning Inspired by Prefrontal Cortex
Self-Organization of Topographic Mappings from Cell Layer to Cell Layer through Generalized Hebb Rules
Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR
Feature Selection for Unsupervised Learning
AUV Efficient Navigation Relying on Adaptive Proximal Policy Optimization
Research on a Novel Method Diagnosis and Maintenance for Key Produce Plant Based on MAS and NN
The Nonlinear PCA Approach to ICA
Coordinated Control of Reaching and Grasping During Prehension Movement
Single-Trial Multi-channel N170 Estimation Using Linear Discriminant Analysis (LDA)
An Improved Feedback Wavelet Neural Network for Short-Term Passenger Entrance Flow Prediction in Shanghai Subway System
Multi-scale Information Distillation Network for Image Super Resolution in NSCT Domain
A Best-First Search Method for Anytime Evaluation of Belief Networks
Referential kNN Regression for Financial Time Series Forecasting
Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach
Transfer Learning Using the Online FMM Model
Robust Online Multi-object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior
Bayesian System Identification of Molecular Cascades
Dynamic Characteristics of Micro-state Transition Defined by Instantaneous Frequency in the Electroencephalography of Schizophrenia Patients
A Non-linear Label Compression Coding Method Based on Five-Layer Auto-Encoder for Multi-label Classification
Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning
Moving Target Tracking Based on Pulse Coupled Neural Network and Optical Flow
Initializing Deep Learning Based on Latent Dirichlet Allocation for Document Classification
A Comparison of Learning Transfer in Networks and Humans
Classification of Fundus Images for Diagnosing Glaucoma by Self-Organizing Map and Learning Vector Quantization
Reward-Dependent and Locally Modulated Hebbian Rule
SLICE: Structural and Label Information Combined Embedding for Networks
Exploring Non-isometric Alignment Inference for Representation Learning of Irregular Sequences
A Spiking Oscillator with Quantized State and Its Pulse Coding Characteristics
Early Detection of Depression and Alcoholism Disorders by EEG Signal
A Refined Spatial Transformer Network
PTR: Phrase-Based Topical Ranking for Automatic Keyphrase Extraction in Scientific Publications
Rule Extraction in Real Time
Research on Usage Prediction Methods for O2O Coupons
Gaussian Process Regression with Fluid Hyperpriors
Deep Metric Learning with Symmetric Triplet Constraint for Person Re-identification
Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture
Light Field Image Super-Resolution via Global-View Information Adaption and Angular Attention Fusion
Soil Property Prediction: An Extreme Learning Machine Approach
GOS-IL: A Generalized Over-Sampling Based Online Imbalanced Learning Framework
Domain-Adaptation Person Re-Identification via Style Translation and Clustering
Sparse Spectral Transformer: Dynamic Frequency-Aware Attention for Scalable Multimodal Fusion
Portrait Matting Network with Essential Feature Mining and Fusion
Adaptive Classification for Brain-Machine Interface with Reinforcement Learning
Sustainable Patterns of Pigeon Flights Over Different Types of Terrain
Multi-Task Low-Rank Metric Learning Based on Common Subspace
Semi-supervised Classification on Data Streams with Recurring Concept Drift Based on Conformal Prediction
FANet: Factor Analysis Neural Network
Hierarchical Parameter Sharing in Recursive Neural Networks with Long Short-Term Memory
Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning
An Analysis of Speaker Recognition Using Bagging CAN2 and Pole Distribution of Speech Signals
Transient-Time Fractional-Space Trigonometry and Application
Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model
An Implementation of Working Memory Using Stacked Half Restricted Boltzmann Machine - Toward to Restricted Boltzmann Machine-Based Cognitive Architecture
Sampling Curve Images to Find Similarities among Parts of Images
Planning as Inference in a Hierarchical Predictive Memory
Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function
A Neural Network Model for Sequential Multitask Pattern Recognition Problems
Bio-inspired Visual Saliency Detection and Its Application on Image Retargeting
FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies
Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement
An Adaptive Self-Organizing Algorithm with Virtual Connection
Webpage Segmentation Using Ontology and Word Matching
Dynamic Cooperation and Competition in a Network of Spiking Neurons
Efficient Incremental Learning Using Self-Organizing Neural Grove
Predominant Sense Acquisition with a Neural Random Walk Model
Analog Pattern Matching in a Model of Dendritic Spines
A Bio Inspired Estimation of Distribution Algorithm for Global Optimization
Single-Trial Event-Related Potentials Classification via a Discriminative Dictionary Learning Scheme
Emotion Recognition Using Multimodal Deep Learning
Improving Neural Network Classifier Using Gradient-Based Floating Centroid Method
WOODWIND: Few-Shot Object Detector with Knowledge Distillation
Real-Time Gesture Classification System Based on Dynamic Vision Sensor
Successive Mouse Movement: Dual-Phase Adaptation with Pre-balancing and Test-Time Learning
Construction and Prediction of a Dynamic Multi-relationship Bipartite Network
Financial Data Forecasting Using Optimized Echo State Network
Modeling of LTP-Related Phenomena Using an Artificial Firing Cell
Tell Fake from Real: Temporal Forgery Localization with Fake-Real Guided Cross-Modal-Reconstruction
Partially Disentangled Latent Relations for Multi-label Deep Learning
Frequency Specific Effects of Oscillatory Inputs on Timing and Chaotic Time-Series Learning in Spiking Reservoir Computing
Reconstructing Challenging Hand Posture from Multi-modal Input
Sentiment Classification with Support Vector Machines and Multiple Kernel Functions
Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering
Transfer Learning Using Progressive Neural Networks and NMT for Classification Tasks in NLP
Projected Kernel Recursive Least Squares Algorithm
Large-Margin Supervised Hashing
Effect of Facial Feature Points Selection on 3D Face Shape Reconstruction Using Regularization
A Multi-label Feature Selection Method Based on Feature Graph with Ridge Regression and Eigenvector Centrality
IR-MHAtt: A Lightweight Skin Lesion Classification Network with Improved Inverted Residual and Self-attention Mechanism
Confusion-Aware Convolutional Neural Network for Image Classification
A Support Vector Machine with Forgetting Factor and Its Statistical Properties
A Comprehensive Review of Arabic Question Answering Datasets
A Spatio-Temporal Feature Classification Method for fNIRS Signals Based on a Hybrid CNN-Transformer Architecture
A Piecewise Hybrid of ARIMA and SVMs for Short-Term Traffic Flow Prediction
SABE: Structure-Aware Boundary-Enhanced Network for Elementary Topic Unit Extraction in Dialogue
MTSAN-MI: Multiscale Temporal-Spatial Convolutional Self-attention Network for Motor Imagery Classification
Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity
Multimedia Educational Content for Saudi Deaf
Deep Reinforcement Learning with Temporal-Awareness Network
Neural Network Collaborative Filtering for Group Recommendation
Design of a Fuzzy Takagi-Sugeno Controller to Vary the Joint Knee Angle of Paraplegic Patients
Firing Pattern Estimation of Biological Neuron Models by Adaptive Observer
Enhanced GPU Accelerated K-Means Algorithm for Gene Clustering Based on a Merging Thread Strategy
A Fault Diagnosis Method under Varying Rotate Speed Conditions Based on Auxiliary Particle Filter
A Neural Network Based Global Optimal Algorithm for Unconstrained Binary Quadratic Programming Problem
Noise Removal Based on Classification of Wavelet Coefficients Using Counterpropagation Neural Networks
OADA: An Online Data Augmentation Method for Raw Histopathology Images
Mixed Time-State Dependent Distributed Event-Triggered Consensus Protocol of a DC Microgrids Cluster
Using Hybrid Kernel Method for Question Classification in CQA
Improve Image Captioning by Self-attention
Rethinking Voxelization and Classification for 3D Object Detection
Res2U-Net: Image Inpainting via Multi-scale Backbone and Channel Attention
Learning Gaussian Process Models from Uncertain Data
Global Optimization of Support Vector Machines Using Genetic Algorithms for Bankruptcy Prediction
Clustering with a Semantic Criterion Based on Dimensionality Analysis
A New LSTM Network Model Combining TextCNN
Correlation-Guided Image-to-Video Transfer Learning for Video Recognition
STD: Using Self-attention Discriminators to Improve Speech Synthesis
Efficient Neighborhood Covering Reduction with Submodular Function Optimization
Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach
Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals
Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection
Q-Learning Based Adaptive Scheduling Method for Hospital Outpatient Clinics
Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble
Efficient, Low-Cost, Real-Time Video Super-Resolution Network
Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning
A Improved SVM and Its Using in Electric Power System Load Forecasting
A Neural Network Model for Large-Scale Stream Data Learning Using Locally Sensitive Hashing
Particle Swarm Optimization with SIMD-Oriented Fast Mersenne Twister on the Cell Broadband Engine
Combining Time-Scale Feature Extractions with SVMs for Stock Index Forecasting
Kernel Based Clustering for Multiclass Data
Feature Subset Selection: A Correlation Based Filter Approach
Code Representation Based on Hybrid Graph Modelling
Enhance Differential Evolution Algorithm Based on Novel Mutation Strategy and Parameter Control Method
Self-correcting Symmetry Detection Network
Observer-Based Adaptive Output Feedback Control for Nonaffine Nonlinear Discrete-Time Systems Using Reinforcement Learning
Solar Radiation Data Modeling with a Novel Surface Fitting Approach
Pattern Retrieval by Quaternionic Associative Memory with Dual Connections
Hierarchical Feature Extraction for Compact Representation and Classification of Datasets
Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity
A Fuzzy Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Euclidean Distance
NDRL: Cotton Irrigation and Nitrogen Application with Nested Dual-Agent Reinforcement Learning
A Health Evaluation Algorithm for Edge Nodes Based on LSTM
Protein-Protein Interactions Prediction Based on Bi-directional Gated Recurrent Unit and Multimodal Representation
On the Reconstruction of Genetic Network from Partial Microarray Data
A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression
Formulation of Border-Ownership Assignment in Area V2 as an Optimization Problem
Reasoning Under Conflicts in Smart Environment
Bridging the Gap Between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model
Malware Detection Using Rough Set Based Evolutionary Optimization
Effectiveness of Intrinsically Motivated Adaptive Agent for Sustainable Human-Agent Interaction
Dynamics of Cortical Reorganization: Evidence for Task- and Modality-Specific Coding of Plasticity
BCMLP: Binary-Connected Multilayer Perceptrons
Overcoming Catastrophic Forgetting with Self-adaptive Identifiers
A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment
Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset Classification
Sparse Auto-encoder with Smoothed l_1 Regularization
Structure, Attribute and Homophily Preserved Social Network Embedding
A Feature Selection Approach for Emulating the Structure of Mental Representations
Few-Shot Classification with Transductive Data Clustering Transformation
Adaptive Selection of Classifiers for Person Recognition by Iris Pattern and Periocular Image
Short-Term Load Forecasting Using Multiscale BiLinear Recurrent Neural Network with an Adaptive Learning Algorithm
Nonlinear Dimensionality Reduction for Visualization
Non-parametric e-mixture of Density Functions
Text2SPARQL: Grammar Pre-training for Text-to-QDMR Semantic Parsers from Intermediate Question Decompositions
Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals
Analysis on Saccade-Related Independent Components by Various ICA Algorithms for Developing BCI
STFormer: Cross-Level Feature Fusion in Object Detection
A Deep Ensemble Network for Compressed Sensing MRI
Boosting Self-efficacy and Performance of Large Language Models via Verbal Efficacy Stimulations
Deep Convolutional Transform Learning
Parallel Reinforcement Learning for Weighted Multi-criteria Model with Adaptive Margin
Automated Landslide Detection: A Comparative Study of Change Detection and Semantic Segmentation Techniques
A Robot Vision System for Collision Avoidance Using a Bio-inspired Algorithm
Complexity Analysis of EEG Data during Rest State and Visual Stimulus
Bilingual Lexicon Extraction with Forced Correlation from Comparable Corpora
Weighted-PCANet for Face Recognition
AdversarialQR Revisited: Improving the Adversarial Efficacy
Ontology Learning from Text: A Soft Computing Paradigm
Measuring Decision Confidence Levels from EEG Using a Spectral-Spatial-Temporal Adaptive Graph Convolutional Neural Network
L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction
Playing Catan with Cross-Dimensional Neural Network
Fast and Adaptive Low-Pass Whitening Filters for Natural Images
Weakly Supervised Temporal Action Localization Through Segment Contrastive Learning
Image Segmentation Using Genetic Method to Select Feature Indices
An Effective Morphological Analysis Framework of Intracranial Artery in 3D Digital Subtraction Angiography
Performance of Qubit Neural Network in Chaotic Time Series Forecasting
Aesthetics-Guided Multi-scale Feature Fusion for Style Transfer
Neuro-inspired System with Crossbar Array of Amorphous Metal-Oxide-Semiconductor Thin-Film Devices as Self-plastic Synapse Units
Partial Extraction of Edge Filters by Cumulant-Based ICA under Highly Overcomplete Model
Text-to-Image Synthesis with Threshold-Equipped Matching-Aware GAN
Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes
Harvesting Multiple Resources for Software as a Service Offers: A Big Data Study
Batch Process Fault Monitoring Based on LPGD-kNN and Its Applications in Semiconductor Industry
Predicting Parkinson's Disease Severity Using Patient-Reported Outcomes and Genetic Information
A New Supervised Learning Approach: Statistical Adaptive Fourier Decomposition (SAFD)
A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image Segmentation
ATFN: An Efficient Multi-modal Depression Assistance Diagnostic Model Based on Multi-channel Attention Mechanism
Summation Characteristics of PDM Digital Neural Network System
An Empirical Analysis of Under-Sampling Techniques to Balance a Protein Structural Class Dataset
Application Rough Sets Theory to Ordinal Scale Data for Discovering Knowledge
Scheduling Trains with Genetic Algorithms
A New Model and Heuristic for Infection Minimization by Cutting Relationships
Fast Intra Mode Decision for H.264/AVC Based on Directional Information of I4MB
Binary Label-Aware Transfer Learning for Cross-Domain Slot Filling
Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
The Generalized Product Neuron Model in Complex Domain
Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition
The ck-Nearest Neighbor Distance Network: A Network Using Class Boundary Feature Distances
A Neural Network Model for Gating Task-Relevant Information by Rhythmic Oscillations
SAN: Sampling Adversarial Networks for Zero-Shot Learning
Efficient Multi-spike Learning with Tempotron-Like LTP and PSD-Like LTD
Passenger Demographic Attributes Prediction for Human-Centered Public Transport
Rotation Invariant Face Detection Using Convolutional Neural Networks
Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes
SME User Classification from Click Feedback on a Mobile Banking Apps
Knowledge Reusing Neural Learning System for Immediate Adaptation in Navigation Tasks
Deep Sequence-to-Sequence Neural Networks for Ionospheric Activity Map Prediction
Origami Folding Sequence Generation Using Discrete Particle Swarm Optimization
Reversible Data Hiding Based on Adaptive Embedding with Local Complexity
Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part I
BCM and Membrane Potential: Alternative Ways to Timing Dependent Plasticity
FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting
A Leaky Wang kWTA
Adaptive Graph Recurrent Network for Multivariate Time Series Imputation
CCAD: A Collective Contextual Anomaly Detection Framework for KPI Data Stream
Filtering E-Mail Based on Fuzzy Support Vector Machines and Aggregation Operator
Robust Control of Bilinear Systems in the Presence of Parametric Uncertainty
Webcam-Based Visual Gaze Estimation Under Desktop Environment
Composite and Multiple Kernel Learning for Brain Computer Interface
VSLCG-U: A UNet-Based Model with Mamba Gated Connections for Dinosaur Footprint Segmentation
Emotion-Aided Multi-modal Personality Prediction System
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III
Enhanced Generation of Human Mobility Trajectory with Multiscale Model
Principal Pattern Analysis of Sleep Deprived Human EEG
Audio-Guided Dynamic Modality Fusion with Stereo-Aware Attention for Audio-Visual Navigation
Active Learning Based Relation Classification for Knowledge Graph Construction from Conversation Data
Double Attention-Based Lightweight Network for Plant Pest Recognition
Number Recognition of Sudoku Grid Image with Artificial Neural Networks
Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems
Using Word Mover's Distance with Spatial Constraints for Measuring Similarity Between Mongolian Word Images
Simple Feature Quantities for Learning of Dynamic Binary Neural Networks
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part XI
Adaptive Constrained ICABMGGMM: Application to ECG Blind Source Separation
3HAN: A Deep Neural Network for Fake News Detection
Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization
Option Attentive Capsule Network for Multi-choice Reading Comprehension
Class-Balanced Loss for Scene Text Detection
"Complex Receptive Field" Obtained by Infomax Coincides with the Energy Model for Complex Cells in the Visual Cortex
Self-Organization of Shift-Invariant Receptive Fields through Pre- and Post-Synaptic Competition
Prosthetic Motor Imaginary Task Classification Based on EEG Quality Assessment Features
S-CGRU: An Efficient Model for Pedestrian Trajectory Prediction
Spatial Gene Expression Prediction Using Hierarchical Sparse Attention
The Response of Lobster Stretch Receptor Models to Single Pulses and Step Currents
Diverse and High-Quality Data Augmentation Using GPT for Named Entity Recognition
Improving SVM Classification with Imbalance Data Set
Joint Entity and Relation Extraction for Legal Documents Based on Table Filling
A Revamped Sparse Index Tracker Leveraging K-Sparsity and Reduced Portfolio Reshuffling
Isn't It Ironic, Don't You Think?
Simple ConvNet Based on Bag of MLP-Based Local Descriptors
Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks
Nuclear Norm Regularized Randomized Neural Network
Dynamic Forest Model for Sentiment Classification
Prototype Based Classification Using Information Theoretic Learning
Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple Cell
Multistep Speaker Identification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speaker
A Malware Classification Method Based on Basic Block and CNN