yusuke1997/dblp-id-title huggingface dataset:
Asterisk Sparse Convolutional Networks for 3D Object Detection
Marginalized Denoising Autoencoder via Graph Regularization for Domain Adaptation
Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction
A Passport Recognition and Face Verification Using Enhanced Fuzzy Neural Network and PCA Algorithm
Korean Character Recognition Using a TDNN
Efficient Attention for Domain Generalization
An Involuntary Muscular Response Induced by Perceived Visual Errors in Hand Position
PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic
EEG-Based Emotion Recognition in Listening Music by Using Support Vector Machine and Linear Dynamic System
Gaze Movement Control Neural Network Based on Multidimensional Topographic Class Grouping
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VIII
Unsupervised Reused Convolutional Network for Metal Artifact Reduction
Unsupervised Fabric Defect Detection Framework Based on Knowledge Distillation
Correlation-Aware Next Basket Recommendation Using Graph Attention Networks
BERT-LBIA: A BERT-Based Late Bidirectional Interaction Attention Model for Legal Case Retrieval
Towards Ontology Reasoning for Topological Cluster Labeling
Concentration Monitoring with High Accuracy but Low Cost EEG Device
Topic-Aware Two-Layer Context-Enhanced Model for Chinese Discourse Parsing
Deep Learning for In-Vehicle Intrusion Detection System
Discriminative Semi-supervised Learning Based on Visual Concept-Like Features
Electricity Quality Control of an Independent Power System Based on Hybrid Intelligent Controller
Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis
Fault-Tolerant Incremental Learning for Extreme Learning Machines
Optimizing Learnable Frequency-Domain Filterbanks for Depression Detection via Speech Representation Disentanglement
Realizing Ideal Spatiotemporal Chaotic Searching Dynamics for Optimization Algorithms Using Neural Networks
New Stability Criteria for Markov Jump Systems Under DoS Attacks and Packet Loss via Dynamic Event-Triggered Control
Continuity of Discrete-Time Fuzzy Systems
Mixed Precision Weight Networks: Training Neural Networks with Varied Precision Weights
Learning Discriminative Convolutional Features for Skeletal Action Recognition
Connectionist Approaches for Predicting Mouse Gene Function from Gene Expression
A New Method for Multiple Spike Train Analysis Based on Information Discrepancy
FaceMix: Transferring Local Regions for Data Augmentation in Face Recognition
Thermal Deformation Prediction in Machine Tools by Using Neural Network
An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts
Semi-supervised Kernel-Based Fuzzy C-Means
SVM Analysis of Haemophilia A by Using Protein Structure
A Computational Agent Model for Hebbian Learning of Social Interaction
Prediction of the Facial Growth Direction: Regression Perspective
A GFlowNet-Based World Model for Structural Protein-Protein Interaction Prediction on DB5
Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control
A Just-In-Time Compilation Approach for Neural Dynamics Simulation
Software Package Based on the Continuous Wavelet Transform for Automatic Target Recognition
Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex
Towards Hardware Acceleration of Neuroevolution for Multimedia Processing Applications on Mobile Devices
Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture
Alleviating Catastrophic Interference in Online Learning via Varying Scale of Backward Queried Data
Residual Semantic Segmentation of the Prostate from Magnetic Resonance Images
Progressive Inpainting Strategy with Partial Convolutions Generative Networks (PPCGN)
Fault Tolerant Broad Learning System
Port-Piece Embedding for Darknet Traffic Features and Clustering of Scan Attacks
SEOVER: Sentence-Level Emotion Orientation Vector Based Conversation Emotion Recognition Model
FE-YOLOv5: Improved YOLOv5 Network for Multi-scale Drone-Captured Scene Detection
H-PSO-LSTM: Hybrid LSTM Trained by PSO for Online Handwriter Identification
Energy Functions for Efficient Nonlinear Dimensionality Reduction by Multi Layer Perceptrons
Desert Vehicle Detection Based on Adaptive Visual Attention and Neural Network
A Framework for Online Inter-subjects Classification in Endogenous Brain-Computer Interfaces
Improving Prediction Interval Quality: A Genetic Algorithm-Based Method Applied to Neural Networks
A Neural Model for Stereo Transparency with the Population of the Disparity Energy Models
Anatomical Landmarks Localization for 3D Foot Point Clouds
Fusion of Multi-level Information: Solve Large-Scale Traveling Salesman Problem with an Efficient Framework
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study
Depth Normalized Stable View Synthesis
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting
Graph Attention Hashing via Contrastive Learning for Unsupervised Cross-Modal Retrieval
Motion Deblurring Using Super-Sparsity
Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining
Analysis of the Proton Mediated Feedback Signals in the Outer Plexiform Layer of Goldfish Retina
A Wiener Causality Defined by Relative Entropy
Rough Sets and Other Intelligent Techniques for Knowledge Discovery
Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs
A Grouping Genetic Algorithm for Line Balancing with Resource Dependent Task Times
Soft-Margin Softmax for Deep Classification
Adaptive Washout Algorithm Based Fuzzy Tuning for Improving Human Perception
Inferring Users' Gender from Interests: A Tag Embedding Approach
Partial Clustering for Tissue Segmentation in MRI
A Causal Multi-armed Bandit Approach for Domestic Robots' Failure Avoidance
Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach
Representation Learning for Heterogeneous Information Networks via Embedding Events
Graph Attention Mixup Transformer for Graph Classification
Electroencephalogram Dynamics during Social Communication among Multiple Persons
SOM-Based Continuous Category Learning for Age Classification by Facial Images
Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains
Naturalistic Emotion Recognition Using EEG and Eye Movements
A Two Stage Algorithm for K-Mode Convolutive Nonnegative Tucker Decomposition
Evolving Computationally Efficient Hashing for Similarity Search
Relation Classification via Target-Concentrated Attention CNNs
Fitness-Driven Evolutionary Federated Learning: Adaptive Client Selection and Dynamic Population for Communication Efficiency
A Fast and Scalable Frame-Recurrent Video Super-Resolution Framework
Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data
Vibration Suppression of an Axially Moving System with Restrained Boundary Tension
Integrated Model for Informal Inference Based on Neural Networks
GloveTyping: A Hand Gesture Recognition System for Text Input Using a Hierarchical Framework with Attention Mechanism
Adaptive Colour Calibration for Object Tracking under Spatially-Varying Illumination Environments
Filter Pruning via Similarity Clustering for Deep Convolutional Neural Networks
A Genetic Algorithm Framework for Traffic Scheduling in A TM Networks
Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activity
On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine
Graph-Based Vehicle Keypoint Attention Model for Vehicle Re-identification
A Corrector for the Sample Mahalanobis Distance Free from Estimating the Population Eigenvalues of Covariance Matrix
A Label Completion Approach to Crowd Approximation
An Integrated System for Incremental Learning of Multiple Visual Categories
Secure Outsourcing of Lattice Basis Reduction
Wane Detection Using a Universal Neural Network Window Filter
TeethU 2 Net: A Deep Learning-Based Approach for Tooth Saliency Detection in Dental Panoramic Radiographs
Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation
PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery
Asymmetric Synaptic Connections in Z(2) Gauge Neural Network
Visual-Textual Late Semantic Fusion Using Deep Neural Network for Document Categorization
Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis
Bio-Inspired Deep Spiking Neural Network for Image Classification
Airport Detection in Remote Sensing Images Based on Visual Attention
Deep Cardiovascular Disease Prediction with Risk Factors Powered Bi-attention
Simulation Based Smart Scheduler for Manufacturing Systems
Structural Learning Approach to Rule Discovery from Data with Continuous Valued Inputs
Development of Artificial Retina Using Cultured Neural Cells and Photoelectric Device: A Study on Electric Current with Membrane Model
Two Co-adaptation Schemes of Evolution and Learning for an Optimal VQ Codebook
PLKA-MVSNet: Parallel Multi-view Stereo with Large Kernel Convolution Attention
Phoneme Transcription by a Support Vector Machine
Mobile Robot Control Using Fuzzy-Neural-Network for Learning Human Behavior
Brand-Centric Recommendation with Inter-brand Similarities
A Hybrid Approach to Pixel Data Mining
Cooperative Feature Level Data Fusion for Authentication Using Neural Networks
A Model of the Hippocampus - Neocortex for Episodic Memory
Toward the Ontology-Based Security Verification and Validation Model for the Vehicular Domain
Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study
An Evolutionary Algorithm Based Optimization of Neural Ensemble Classifiers
Learning in Neural Network - Unusual Effects of "Artificial Dreams"
Multi-pattern Joint Denoising Diffusion Model for Sequential Recommendation
A Hybrid Model: DGnet-SVM for the Classification of Pulmonary Nodules
Probability of Perfect Reconstruction of Pareto Set in Multi-Objective Optimization
A Modular Type Network for Incremental Learning
Instruction Cognitive One-Shot Malware Outbreak Detection
Multi-scale Directed Graph Convolution Neural Network for Node Classification Task
Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images
Orientation Dependence of Surround Modulation in the Population Coding of Figure/Ground
Training Neural Networks with Implicit Variance
Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes
AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation
A Brief Review of Spin-Glass Applications in Unsupervised and Semi-supervised Learning
Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information
A Framework for Ontology Based Management of Neural Network as a Service
Quantifying the Path Preservation of SOM-Based Information Landscapes
Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds
Dynamical Nonstationarity Analysis of Resting EEGs in Alzheimer's Disease
A Random Search Technique for Training Neural Networks
Smooth Seamless Surface Construction Based on Conformal Self-organizing Map
The ARISTOTLE Speech Recognition System
A Neural Network Based Approach for Semantic Service Annotation
Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites
Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization
Learning from Titles to Recommend Keywords for Academic Papers
A Neighbor Generation Mechanism Optimizing Neural Networks
Method of Evolving Non-stationary Multiple Kernel Learning
MapReduce-based Parallelized Approximation of Frequent Itemsets Mining in Uncertain Data
A Three-Strategy Based Differential Evolution Algorithm for Constrained Optimization
Deep Patch-Based Human Segmentation
Schematic Modeling of the Chaotic Activation of Muscle Fiber by Using Recurrent Neural Network
Cognitive Workload Discrimination in Flight Simulation Task Using a Generalized Measure of Association
Multi-timescale Processing with Heterogeneous Assembly Echo State Networks
Network of Recurrent Neural Networks: Design for Emergence
Rough Sets and Neural Networks Based Aerial Images Segmentation Method
Adversarial Defenses via a Mixture of Generators
Scale Invariant Domain Generalization Image Recapture Detection
On the Optimization of Multiclass Support Vector Machines Dedicated to Speech Recognition
A Novel Self-Adaptive Clustering Algorithm for Dynamic Data
Population-Based Automatic Programming - Part l : Description of the Algorithm
Predicting Multiple Pregrasping Poses by Combining Deep Convolutional Neural Networks with Mixture Density Networks
Relation Classification via CNN, Segmented Max-pooling, and SDP-BLSTM
Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter
Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing
Essential Visual Cryptographic Scheme with Different Importance of Shares
Online Incremental Structure Learning of Sum-Product Networks
Argumentation Neural Networks
Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning during Dreaming
EvoBA: An Evolution Strategy as a Strong Baseline for Black-Box Adversarial Attacks
Examination of Mean Field Approximation Based on Linear Response Theorem for Boltzmann Machine Learning
Invariant Handwritten Chinese Character Recognition
Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization
Multi-nation and Multi-norm License Plates Detection in Real Traffic Surveillance Environment Using Deep Learning
An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices
Fuzzy String Matching Using Sentence Embedding Algorithms
Parallel Learning for Combined Knowledge Acquisition Model
Selectively Increasing the Diversity of GAN-Generated Samples
A Subject-Specific EMG-Driven Musculoskeletal Model for the Estimation of Moments in Ankle Plantar-Dorsiflexion Movement
Detection of Human Faces Using Neural Networks
Color Image Segmentation Based on Blocks Clustering and Region Growing
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XIV
Learning with Partially Shared Features for Multi-Task Learning
Exploiting the Tibetan Radicals in Recurrent Neural Network for Low-Resource Language Models
Trend-Weighted Fuzzy Time-Series Model for TAIEX Forecasting
MemFlowNet: A Network for Detecting Subtle Surface Anomalies with Memory Bank and Normalizing Flow
A Semantically Flexible Feature Fusion Network for Retinal Vessel Segmentation
EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems
Mapping from Student Domain into Website Category
Practical Recurrent Learning (PRL) in the Discrete Time Domain
An Efficient Two-Level SOMART Document Clustering Through Dimensionality Reduction
Blind Image Tamper Detection Based on Multimodal Fusion
Signal Restoration and Parameters' Estimation of Ionic Single-Channel Based on HMM-SR Algorithm
Neural Information Processing - 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part IV
An One-Dimensional analog Vision Chip System with Light-Adaptive Gain Control
Performance of Neural Networks Based Adaptive Backthrough Control
An Evolving Neural Network Model for Person Verification Combining Speech and Image
Refining Expert Knowledge with an Artificial Neural Network
DAformer: Transformer with Domain Adversarial Adaptation for EEG-Based Emotion Recognition with Live-Oil Paintings
Multivariate Decision Tree Function Approximation for Reinforcement Learning
Invariant Multiparameter Sensitivity of Oscillator Networks
New Results for Global Stability of Cohen-Grossberg Neural Networks with Discrete Time Delays
GPU-Accelerated Simulations of an Electric Stimulus and Neural Activities in Electrolocation
Adversarial Rectification Network for Scene Text Regularization
Prediction of the O -Glycosylation by Support Vector Machines and Semi-supervised Learning
Semi-supervised Regularized Coplanar Discriminant Analysis
Deep Feature-Action Processing with Mixture of Updates
MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing
Incomplete Multi-view Subspace Clustering Using Non-uniform Hyper-graph for High-Order Information
CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values
Decision Tree Based Recognition of Bangla Text from Outdoor Scene Images
Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels
Identifying Gender Differences in Multimodal Emotion Recognition Using Bimodal Deep AutoEncoder
Models in the Wild: On Corruption Robustness of Neural NLP Systems
Direct Estimation of Fault Tolerance of Feedforward Neural Networks in Pattern Recognition
Domain Adaptation with Stacked Convolutional Sparse Autoencoder
Instance-Aware and Semantic-Guided Prompt for Few-Shot Learning in Large Language Models
LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep Fetal Brain Age Regression
Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection
Exploring Efficient-Tuned Learning Audio Representation Method from BriVL
Privacy-Preserving Travel Time Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning Approach
Traffic Flow Forecasting Using Attention Enabled Bi-LSTM and GRU Hybrid Model
Boosting StarGANs for Voice Conversion with Contrastive Discriminator
Deep Extremely Randomized Trees
Multi-task Temporal Convolutional Network for Predicting Water Quality Sensor Data
Speckle Reduction of Polarimetric SAR Images Based on Neural ICA
Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring
Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks
Exploit of Online Social Networks with Community-Based Graph Semi-Supervised Learning
Arterial Coordination for Dedicated Bus Priority Based on a Spectral Clustering Algorithm
Self-organizing Map-Based Probabilistic Associative Memory
Energy Management of Planetary Gear Hybrid Electric Vehicle Based on Improved Dynamic Programming
Transformer-Based Original Content Recovery from Obfuscated PowerShell Scripts
An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application
Continuous Classification of Spatio-temporal Data Streams Using Liquid State Machines
Evolving Connectionist Systems and Evolving Brains
Proposal of a Human Heartbeat Detection/Monitoring System Employing Chirp Z-Transform and Time-Sequential Neural Prediction
Predicting Functional Interactions Among DNA-Binding Proteins
Behaviour-Based Control Applied to Robotic Handling of Variable Objects
A Particle Swarm Optimization Based Joint Geometrical and Statistical Alignment Approach with Laplacian Regularization
Double Approximate Identity Neural Networks Universal Approximation in Real Lebesgue Spaces
Implementation of Visual Attention System Using Artificial Retina Chip and Bottom-Up Saliency Map Model
Software-as-a-Service Composition in Cloud Computing Using Genetic Algorithm
Weighted P-Rank: a Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network
Workload Characterisation Based on AI Techniques
Thin-Cap Fibroatheroma Detection with Deep Neural Networks
Projection-Field-Type VLSI Convolutional Neural Networks Using Merged/Mixed Analog-Digital Approach
Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis
Data Analysis of Correlation Between Project Popularity and Code Change Frequency
Evaluating Data Characterization Measures for Clustering Problems in Meta-learning
Efficient Representation by Horizontal Connection in Primary Visual Cortex
A Bayesian Posterior Updating Algorithm in Reinforcement Learning
GATE: Guided Contrastive State Space for Multi-agent Reinforcement Learning
A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection
Context-Dependent Excitation Bandwidth Changes in Cat Auditory Cortex
Regularized Tensor Learning with Adaptive One-Class Support Vector Machines
Probabilistic Combination of Multiple Evidence
Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface
Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks
Robust Active Learning for Linear Regression via Density Power Divergence
Generalization of Local Temporal Correlation Common Spatial Patterns Using Lp-norm (0 < p < 2)
Selective Dropout for Deep Neural Networks
Functional Structures from Different Components of Intrinsic Signal in Cat Visual Cortex
A Fast Bit-Parallel Algorithm for Gapped String Kernels
Classification of Neuroblastoma Histopathological Images Using Machine Learning
DRF: LLM-AGENT Dynamic Reputation Filtering Framework
Aero-Engine Condition-Based Maintenance Planning Using Reinforcement Learning
Evolution of Neural Organization in a Hydra-Like Animat
Evaluation of Football Players' Performance Based on Multi-Criteria Decision Analysis Approach and Sensitivity Analysis
Application of Pseudometric Functions in Clustering and a Novel Similarity Measure Based on Path Information Discrepancy
CenAD: Collaborative Embedding Network for Anomaly Detection with Leveraging Partially Observed Anomalies
Adversarial Shared-Private Attention Network for Joint Slot Filling and Intent Detection
Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories
Research on Relation Extraction Based on BERT with Multifaceted Semantics
Autonomous Perceptual Projection Correction Technique of Deep Heterogeneous Surface
Mutual Information-Based Mixed Precision Quantization
Fuzzy Logic-Based Automatic Alertness State Classification Using Multi-channel EEG Data
Neuro-Fuzzy and Multivariate Statistical Classification of Fruit Populations Based on Visible-Near Infrared Spectrophotometry Data
Hybrid Iterative Reconstruction for Low Radiation Dose Computed Tomography
Superresolution from Occluded Scenes
Benchmarking Adversarial Attacks and Defenses for Time-Series Data
Real-Time Patch-Based Tracking with Occlusion Handling
Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms
An Analysis of the Autonomic Cardiac Activity by Reducing the Interplay between Sympathetic and Parasympathetic Information
Multi-label Learning with Data Self-augmentation
String Kernel Based SVM for Internet Security Implementation
Multi-level Feature Extraction in Time-Weighted Graphical Session-Based Recommendation
Saliency Detection Based on Scale Selectivity of Human Visual System
Using Discriminative Phrases for Text Categorization
Can Eye Movement Improve Prediction Performance on Human Emotions Toward Images Classification?
A Characterization of Simple Recurrent Neural Networks with Two Hidden Units as a Language Recognizer
Emotion Recognition Using KNN Classification for User Modeling and Sharing of Affect States
Estimation of Hidden Markov Chains by a Neural Network
Implement Real-Time Polyphonic Pitch Detection and Feedback System for the Melodic Instrument Player
Multi-scale Context Aggregation for Video-Based Person Re-Identification
FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets
Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data
Prompting Large Language Models for fMRI-Based Brain Semantic Decoding
ProKG-Dial: A Progressive LLM-Driven Approach to Building Knowledge-Intensive Multi-turn Dialogue Datasets with Domain Knowledge Graphs
Attentional Payload Anomaly Detector for Web Applications
Generating Saliency Map Related to Motion Based on Self-organized Feature Extracting