yusuke1997/dblp-id-title huggingface dataset:
EEG-Based Classification of Lower Limb Motor Imagery with STFT and CNN
Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data
Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source
Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting
Bring Ancient Murals Back to Life
Sensorless Control of Switched Reluctance Motor Based on ANFIS
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories
Dynamic Convolutional Network for Generalizable Face Anti-spoofing
Self-Organizing Information Retrieval System on the Web: SirWeb
Synchronization of Memristor-Based Time-Delayed Neural Networks via Pinning Control
Using NLP Specific Tools for Non-NLP Specific Tasks. A Web Security Application
Improved Sparse Bump Modeling for Electrophysiological Data
Compressing Word Embeddings
Audio-Visual Feature Fusion for Speaker Identification
A Modulation Filter Bank as a Basis for Auditory Spectro-Temporal Analysis
An Object Recognition Model Using Biologically Integrative Coding with Adjustable Context
Orientation Map Using Cluster Learning Rule
Loosely Coupled Oscillators as a Correlate of Behavioral Control Circuits Within the Central Complex of the Fruit Fly
The Spatiotemporal Dynamics of Intracellular Ion Concentration and Potential
Opponent and Feedback: Visual Attention Captured
Multimodal Deep Belief Network Based Link Prediction and User Comment Generation
Collaborative Perceiver: Elevating Vision-Based 3D Object Detection via Local Density-Aware Dense Spatial Occupancy
PMFNet: A Progressive Multichannel Fusion Network for Multimodal Sentiment Analysis
FiLMing Multimodal Sarcasm Detection with Attention
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part VI
Neural Networks with Marginalized Corrupted Hidden Layer
Entropy Maximization of Occupancy Grid Map for Selecting Good Registration of SLAM Algorithms
A Fast Neural-Dynamical Approach to Scale-Invariant Object Detection
Generic Unpacking Method Based on Detecting Original Entry Point
Multivariate Time Series Retrieval with Binary Coding from Transformer
Quantifying Motor Adaptation: A Hybrid AI Approach for Interpreting Short-Term Gait Variability
Segmentation with Selectively Propagated Constraints
Nearly Optimal Control for Nonlinear Systems with Dead-Zone Control Input Based on the Iterative ADP Approach
A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation
Neural Information Processing - 32nd International Conference, ICONIP 2025, Okinawa, Japan, November 20-24, 2025, Proceedings, Part I
Micro-expression Recognition Based on PCB-PCANet+
Dual-Path Recurrent Network for Image Super-Resolution
Amygdala Activation Is Associated with Sense of Presence during Viewing 3D-surround Cinematography
Detecting Methods of Virus Email Based on Mail Header and Encoding Anomaly
Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition
Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals
Multiple Instance Learning with Radial Basis Function Neural Networks
Analytical Incremental Learning: Fast Constructive Learning Method for Neural Network
Region Selection Model with Saliency Constraint for Fine-Grained Recognition
Decision Support in Smart Wheelchairs
PoShapley-BCFL: A Fair and Robust Decentralized Federated Learning Based on Blockchain and the Proof of Shapley-Value
Emotional Atmosphere Soft Label for Emotion Recognition in Conversations
A Methodology for Multipurpose DNS Sinkhole Analyzing Double Bounce Emails
Stream Processing of Geometric and Central Moments Using High Precision Summed Area Tables
An Online-Updating Approach on Task Recommendation in Crowdsourcing Systems
Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling
Distance- and Direction-Dependent Synaptic Weight Distributions for Directional Spike Propagation in a Recurrent Network: Self-actuated Shutdown of Synaptic Plasticity
Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs
Single-Channel Speech Dereverberation Based on Non-negative Blind Deconvolution and Prior Imposition on Speech and Filter
RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving
Video Captioning with External Knowledge Assistance and Multi-feature Fusion
Brain-Inspired Attention Model for Object Counting
A Novel Hybrid Modelling for Aggregate Production Planning in a Reconfigurable Assembly Unit for Optoelectronics
Cost-Sensitive Greedy Network-Growing Algorithm with Gaussian Activation Functions
A Comprehensive Vision-Based Model for Commercial Truck Driver Fatigue Detection
Sequential Stereoscopic Vision and Hysteresis
Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling
Direct Inter-Intra View Association for Light Field Super-Resolution
A Novel Oversampling Technique for Imbalanced Learning Based on SMOTE and Genetic Algorithm
A Constraint-Directed Genetic Algorithm for University Timetable Planning
PPIR-Net: An Underwater Image Restoration Framework Using Physical Priors
Modeling Astrocyte-Neuron Interactions
Neuro-Cryptanalysis of DES and Triple-DES
Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification
Socializing in Interference: Quantum-Inspired Topic Model with Crystal-Like Structure Grid for Microblog Topic Detection
Graph Attention Network Knowledge Graph Completion Model Based on Relational Aggregation
An Expert Validation Framework for Improving the Quality of Crowdsourced Clustering
Tag-Based Semantic Features for Scene Image Classification
Unsupervised Domain Adaptation Supplemented with Generated Images
Rival Penalized Competitive Learning Based Separator on Binary Sources Separation
Edge Curve Estimation by the Nonparametric Parzen Kernel Method
Continual Learning of 3D Point Cloud Generators
Partially-Directed-Topology-Based Consensus Control for Linear Multi-agent Systems
Counterfactual Causal Adversarial Networks for Domain Adaptation
Incremental Learning Method of GRBF with Recalling of Interfered Patterns - Application for Case Based Reasoning Systems
A Heuristic-Based Feature Selection Method for Clustering Spam Emails
Suitability of Using Self-Organizing Neural Networks in Configuring P-System Communications Architectures
AAT: Non-local Networks for Sim-to-Real Adversarial Augmentation Transfer
Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model
MMOTS: A Multi-UAV Pursuit-Evasion Game Training Strategy Relying on Offline Reinforcement Learning
Stabilizing Relaxed Nonlinear FMA Yields a (Combinatorial) Optimizer
Novel Information Processing for Image De-noising Based on Sparse Basis
Question Recommendation in Medical Community-Based Question Answering
Importance Weighted Extreme Energy Ratio for EEG Classification
Exploring Deep Learning Architectures Coupled with CRF Based Prediction for Slot-Filling
DPFD-DETR: Directional Prior Guided Frequency Decomposition with Axial-Spatial Context Alignment
A Deep Learning Based Multi-task Ensemble Model for Intent Detection and Slot Filling in Spoken Language Understanding
Competitive Learning Clustering for Information Retrieval in Image Databases
Comparative Analysis of Fusion Network Models for Colorectal Polyp Segmentation on Heterogeneous Datasets
Analysis of Topological Variability in Mouse Neuronal Populations Based on Fluorescence Microscopy Images
Multi-threaded Support Vector Machines for Pattern Recognition
Happy-Sad Expression Recognition Using Emotion Geometry Feature and Support Vector Machine
One Analog Neuron Cannot Recognize Deterministic Context-Free Languages
Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV)
A Robust Technique for Background Subtraction in Traffic Video
Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology
Deep Learning Based Automobile Identification Application
Text to Image Generation with Conformer-GAN
An Efficient Hardware Architecture for Multilayer Spiking Neural Networks
Visualizing the Function Computed by a Feedforward Neural Network
An Analysis of Generalization Error in Relevant Subtask Learning
Anomaly Detection of Fixed-Wing Unmanned Aerial Vehicle (UAV) Based on Cross-Feature-Attention LSTM Network
Visual Constructed Representations for Object Recognition and Detection
Exploiting Latent Relations Between Users and Items for Collaborative Filtering
Class-Wised Image Enhancement for Moving Object Detection at Maritime Boat Ramps
A Model of Neural Short-Term Memory for Time-coded Patterns
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part IV
Parameter-Space Policy Composition for Sim-to-Real Transfer in Quadruped Locomotion Control
Deep Global and Local Matching Network for Implicit Recommendation
A Hierarchical Mixture Density Network
A Multimodal Information Collector for Content-Based Image Retrieval System
Pruning Convolutional Neural Network with Distinctiveness Approach
Adaptively Weighted Facial Expression Recognition by Feature Fusion Under Intense Illumination Condition
A Methodology for the Prediction of Drug Target Interaction Using CDK Descriptors
Non-linear Dimensionality Reduction by Locally Linear Isomaps
Neural Predictive Coding: Application to Phoneme Recognition
Coupling between Spatial Consistency of Neural Firing and Local Field Potential Coherence: A Computational Study
Contrastive Learning Augmented Graph Auto-Encoder
Recognition of Bangla Handwritten Characters Using an MLP Classifier Based on Stroke Features
TSGYE: Two-Stage Grape Yield Estimation
A STPHD-Based Multi-sensor Fusion Method
Multi-level Network Based on Text Attention and Pose-Guided for Person Re-ID
Adaptive Risk-Return Control in Motor Planning
Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning
Properties of Direct Multi-Step Ahead Prediction of Chaotic Time Series and Out-of-Bag Estimate for Model Selection
A Deep Neural Network Architecture Using Dimensionality Reduction with Sparse Matrices
Competition between Synapses Located in Proximal and Distal Dendrites of the Dentate Granule Cell through STDP
MGFNet: A Multi-granularity Feature Fusion and Mining Network for Visible-Infrared Person Re-identification
Thinking in Brain Complexity
Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
Information Maximization in a Feedforward Network Replicates the Stimulus Preference of the Medial Geniculate and the Auditory Cortex
A Fast Stain Normalization Network for Cervical Papanicolaou Images
A Hybrid Sampling Algorithm Based on Generative Adversarial Networks and Reinforcement Learning for Medical Insurance Fraud Detection
Intention Estimation and Recommendation System Based on Attention Sharing
GPU-Based Real-Time Pedestrian Detection and Tracking Using Equi-Height Mosaicking Image
Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models
Differences in Brain Activation During Physics Problem Solving Across Students with Various Learning Progression: Electrophysiological Evidence Based on Detrended Fluctuation Analysis
MISUP: Multiple-Instance Learning via Immunological Suppression Mechanism
Domain-Invariant Task Optimization for Cross-domain Recommendation
Denoising fMRI Message on Population Graph for Multi-site Disease Prediction
Two-stage Blind Deconvolution Using State-space Models
Authorship Attribution of Electronic Documents Comparing the Use of Normalized Compression Distance and Support Vector Machine in Authorship Attribution
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part I
Identity Retrieval in Biometric Access Control Systems Using Multimedia Fusion
Domain Generalized Object Detection with Triple Graph Reasoning Network
Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking
Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification
Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method
Orientation Map Emerges in Parallel with the Formation of Receptive Fields in a Feedforward Neurotrophic Model
Learning and Generalisation in a Stable Network
Neuro-fuzzy System for Clustering of Video Database
Prediction of Protein Secondary Structure Using Nonlinear Method
Consonantal Recognition Using SVM and a Hierarchical Decision Structure Based in the Articulatory Phonetics
An Application of ELISA to Perfect Hashing with Deterministic Ordering
Managing Qualitative Preferences with Constraints
An Architecture Design Method of Deep Convolutional Neural Network
An Adaptive Convolution Auto-encoder Based on Spiking Neurons
Approximate Inference Method for Dynamic Interactions in Larger Neural Populations
Robust Meter Placement against False Data Injection Attacks on Power System State Estimation
Model Compression for a Plasticity Neural Network in a Maze Exploration Scenario
Graph Multi-dimensional Feature Network
Learning Discrete Sentence Representations via Construction & Decomposition
A Bi-hemisphere Capsule Network Model for Cross-Subject EEG Emotion Recognition
Average Reward Optimization with Multiple Discounting Reinforcement Learners
Time and Incentive-Aware Neural Networks for Life Insurance Premium Prediction
Exploiting User and Item Attributes for Sequential Recommendation
LERIS: An Energy-Efficient and Resource-Optimized Inference System for CNNs and MLPs in Edge AI Applications
Pruning Neural Network Parameters Using Recurrent Neural Networks
Air Quality Monitoring and Prediction System Using Machine-to-Machine Platform
AutoML for DenseNet Compression
SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training
Outlier-Robust Range-Based Method for Estimating the Location and Velocity of a Moving Source Using LPNN
Gender Classification Based on Support Vector Machine with Automatic Confidence
Stochasticity-Assisted Training in Artificial Neural Network
RL-Based Memory Controller for Scalable Autonomous Systems
Wavelet Spectral Entropy for Indication of Epileptic Seizure in Extracranial EEG
A Radiomics Approach for Automated Identification of Aggressive Tumors on Combined PET and Multi-parametric MRI
Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part I
A Study on Nonlinear Model Identification Using Pseudo-Bacterial Genetic Algorithm
Fault Diagnosis in Nonlinear Circuit Based on Volterra Series and Recurrent Neural Network
A Novel Approach for Improved Pedestrian Walking Speed Prediction: Exploiting Proximity Correlation
On the Application of Neural Networks to Non-Linear Image Processing Tasks
Manifold Regularized Multi-Task Learning
Factorization of Multiple Tensors for Supervised Feature Extraction
A New MDS Algorithm for Textual Data Analysis
Active Contours Driven by Saliency Detection for Image Segmentation
A Learning-Based Decentralized Optimal Control Method for Modular and Reconfigurable Robots with Uncertain Environment
Deep Neural Networks for Source Code Author Identification
Strength Analysis on Safety-Belt ISOFIX Anchorage for Vehicles Based on HyperWorks and Ls-Dyna
Representation and Identification of Finite State Automata by Recurrent Neural Networks
Classification of Interview Sheets Using Self-Organizing Maps for Determination of Ophthalmic Examinations
Nonlinear Coordinate Unfolding Via Principal Curve Projections with Application to Nonlinear BSS
Clustering Categorical Data Using an Extended Modularity Measure
Convolutional Grid Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition
Link Prediction with Simple Path-Aware Graph Neural Networks
A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection
A Federated Multi-stage Light-Weight Vision Transformer for Respiratory Disease Detection
An Analytical Estimation of Spiking Neural Networks Energy Efficiency
Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set
Significance of Non-edge Priors in Gene Regulatory Network Reconstruction
A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System
Generalization Error of Faulty MLPs with Weight Decay Regularizer
A Novel Ontological Technique for Sentiment Analysis
Analysis of Synchronous Time in Chaotic Pulse-Coupled Networks
Adaptive Backstepping Neural Control for Switched Nonlinear Stochastic System with Time-Delay Based on Extreme Learning Machine
Uncertainty Measure for Selective Sampling Based on Class Probability Output Networks
Improving VG-RAM Neural Networks Performance Using Knowledge Correlation
Feature Fusion Learning Based on LSTM and CNN Networks for Trend Analysis of Limit Order Books
Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot
A Part Fusion Model for Action Recognition in Still Images
A Hierarchical Bayes Algorithm for Air-Conditioning Load Prediction: Nonlinear Dynamics Approach
A Novel Chaotic Annealing Recurrent Neural Network for Multi-parameters Extremum Seeking Algorithm
A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning
Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction
Enhancing the Mongolian Historical Document Recognition System with Multiple Knowledge-Based Strategies
A Novel Complex-Valued Fuzzy ARTMAP for Sparse Dictionary Learning
Model Screening: How to Choose the Best Fitting Regression Model?
Web Snippet Clustering Based on Text Enrichment with Concept Hierarchy
Diversity-Based Feature Selection from Neural Network with Low Computational Cost
Driver Sleepiness Detection Using LSTM Neural Network
Nonnegative Source Separation with Expansive Nonlinearity: Comparison with the Primary Visual Cortex
Visual Analytics of Clinical and Genetic Datasets of Acute Lymphoblastic Leukaemia
Partial Fingerprint Matching via Phase-Only Correlation and Deep Convolutional Neural Network
Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition
Nonlinear NN-Based Perturbation Estimator Designs for Disturbed Unmanned Systems
Pattern Discovery from Time Series Using Growing Hierarchical Self-Organizing Map
A Society Model for Co-operative Co-evolutionary Algorithms
Federated Learning Meets Fairness and Differential Privacy
Expanding Knowledge Source with Ontology Alignment for Augmented Cognition
Improving Object Detection with Convolutional Neural Network via Iterative Mechanism
Neighborhood Learning for Artificial Bee Colony Algorithm: A Mini-survey
An Independent Approach to Training Classifiers on Physiological Data: An Example Using Smiles
Boosted Neural Networks in Evolutionary Computation
An Analog Probabilistic Spiking Neural Network with On-Chip Learning
Saliency-Guided Learned Image Compression for Object Detection
Active Learning with Maximum Density and Minimum Redundancy
High-Dimensional Multi-objective PSO Based on Radial Projection
A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology
A Framework of Large-Scale Peer-to-Peer Learning System
Mode-Utilizing Developmental Learning Based on Coherent Neural Networks
Influence of Neural Delay in Sensorimotor Systems on the Control Performance and Mechanism in Bicycle Riding
Estimating Criticality of Resting-State Phase Synchronization Network Based on EEG Source Signals
Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance
An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application
Classification of High and Low Intelligent Individuals Using Pupil and Eye Blink
Joint Neighborhood Subgraphs Link Prediction
A Statistical Approach to Determine the Neighborhood Function and Learning Rate in Self-Organizing Maps
Investigating the Use of an Agent-Based Multi-classifier System for Classification Tasks
Information Theoretical Analysis of Deep Learning Representations
Nearest Hit-Misses Component Analysis for Supervised Metric Learning
Applying Duo Output Neural Networks to Solve Single Output Regression Problem
Depth Perception Using a Monocular Vision System
Directional Properties of Human Hand Force Perception in the Maintenance of Arm Posture
Learning from Few Samples with Memory Network
Interpreting Decision Transformer: Insights from Continuous Control Tasks
Self-Organizing Neural Grove and Its Parallel and Distributed Performance
Learning to Reconstruct 3D Structure from Object Motion
Effect of Input Noise Dimension in GANs
"Dead" Chromosomes and Their Elimination in the Neuro-Genetic Stock Index Prediction System
Research on Answer Generation for Chinese Gaokao Reading Comprehension
Orthogonal Extreme Learning Machine Based P300 Visual Event-Related BCI
Clustering Ensemble Selection with Determinantal Point Processes
Distributed Recurrent Neural Network Learning via Metropolis-Weights Consensus
A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway
Efficient Transformer-Based SAR Ship Detection with Hybrid Cross-Fusion Modules
Self-supervised Image-to-Text and Text-to-Image Synthesis
VAGNN: Advancing the Generalization of Graph Neural Networks
Modal Regression via Direct Log-Density Derivative Estimation
The Choices of Weights and Biases of Fuzzy Neural Networks Based on Fuzzy Number Operations
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VII
Brain-mimetic Kernel: A Kernel Constructed from Human fMRI Signals Enabling a Brain-mimetic Visual Recognition Algorithm
Transformer-Based Video Deinterlacing Method
Sparse LS-SVM in the Sorted Empirical Feature Space for Pattern Classification
Learning Temporal Coherent Features through Life-Time Sparsity
A Memory Optimization Method for Distributed Training
Autism Spectrum Disorder Classification of Facial Images Using Xception Model and Transfer Learning with Image Augmentation
A Swarm Optimization Model for Energy Minimization Problem of Early Vision
Improving Hashing by Leveraging Multiple Layers of Deep Networks
A Lightweight Multi-Scale Efficient Model for Breast Cancer Detection and Classification in Mammograms
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II
Infrared Target Recognition Technology Based on Few Shot Learning
Adaptive Ensemble Variants of Random Vector Functional Link Networks
Exploring Relative Motion Features for Gait Recognition with Kinect
Clustering with Uncertainties: An Affinity Propagation-Based Approach
FPGA Implementation of a Cortical Network Based on the Hodgkin-Huxley Neuron Model
Fuzzy Compactness Based Adaptive Window Approach for Image Matching in Stereo Vision
Investigating Ensemble Weight and the Certainty Distributions for Indicating Structural Diversity
Explainable Offensive Language Classifier
t-SNE Based Visualisation and Clustering of Geological Domain
An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stroke Patients
Adaptive L_p (0 Regularization: Oracle Property and Applications
Adversarial Learning for Cross-Modal Retrieval with Wasserstein Distance
Performance Evaluation of TCP and UDP Traffic in IEEE 1451 Compliant Healthcare Infrastructure
Function Approximation with Partitioned Ellipsoidal Regions
Optimal Pair of Coupling Function and STDP Window Function for Auto-associative Memory
Prescribed Performance Control of Double-Fed Induction Generator with Uncertainties
The Trade-Off between Solution Quality and Computing Times of lntelligent Algorithms - A Computational Study on the Role of Parameters and Time Budgets
Link-Based Consensus Clustering with Random Walk Propagation