yusuke1997/dblp-id-title huggingface dataset:
Graceful Degradation Under Noise on Brain Inspired Robot Controllers
Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales
Deep Transfer Learning via Minimum Enclosing Balls
Neurocomputing for Minimizing Energy Consumption of Real-Time Operating System in the System-on-a-Chip
Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects
A Large-Scale Hierarchical Structure Knowledge Enhanced Pre-training Framework for Automatic ICD Coding
Fatigue-Induced Reversed Hemispheric Plasticity During Motor Repetitions: A Brain Electrophysiological Study
Optimization and Analysis of Parallel Back Propagation Neural Network on GPU Using CUDA
Community Based Node Embeddings for Networks
A Neural Network Model for Trace Conditioning
Variational Graph Embedding for Community Detection
Real-Time Head Detection with Kinect for Driving Fatigue Detection
Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification
Covariate Shift and Incremental Learning
SAP-BERT: BERT Inference Acceleration Through Skip-Layer and Adaptive Patient Early Exiting
Dynamic Channel Pruning for Real-Time Object Detection Networks
Stimulus Related Data Analysis by Structured Neural Networks
Effect of Feedback Signals on Tuning Shifts of Subcortical Neurons in Echolocation of Bat
Improving Neural Network Generalization by Combining Parallel Circuits with Dropout
Flexible-Order Feature-Interaction for Mixed Continuous and Discrete Variables with Group-Level Interpretability
An Enhanced Fuzzy Multilayer Perceptron
Intelligent Face Image Retrieval Using Eigenpaxels and Learning Similarity Metrics
An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences
Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part III
Short-Term Wind Power Prediction Based on CNN-Transformer
Set Aggregation Network as a Trainable Pooling Layer
Retrieval of Semantic Concepts Based on Analysis of Texts for Automatic Construction of Ontology
Learning Representations for Sparse Crowd Answers
An Improvement of a Computational Model for the Detection of Really Moving Objects
On Node-Fault-Injection Training of an RBF Network
A Salient Region Detector for GPU Using a Cellular Automata Architecture
Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures
Concatenated Tensor Networks for Deep Multi-Task Learning
Adaptive Differential Evolution Based Feature Selection and Parameter Optimization for Advised SVM Classifier
Decoding Brain Signals with Meta-learning
The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction Methods
Sparse Least Squares Low Rank Kernel Machines
Independent Component Analysis for Parallel Financial Time Series
Attention Based Multi-Scale Feature Conservation Network for Medical Image Segmentation
Interpretable Modeling of Multi-scale Temporal Patterns in Depressive Speech
A Synthesis Method of Gene Networks Having Cyclic Expression Pattern Sequences by Network Learning
A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression
EDDVPL: A Web Attribute Extraction Method with Prompt Learning
Learning from Hindsight Demonstrations
Exploring Social Contagion in Open-Source Communities by Mining Software Repositories
AttnOD: An Attention-Based OD Prediction Model with Adaptive Graph Convolution
Stability Analysis of Periodic Orbits in Digital Spiking Neurons
UATR: An Uncertainty Aware Two-Stage Refinement Model for Targeted Sentiment Analysis
Application of Evolved Neural Networks to Real World Task
Dy-Drl2Op: Learning Heuristics for TSP on the Dynamic Graph via Deep Reinforcement Learning
Using Biologically Inspired Visual Features and Mixture of Experts for Face/Nonface Recognition
Fuzzy RBF Neural Network Model for Multiple Attribute Decision Making
Towards Improving EEG-Based Intent Recognition in Visual Search Tasks
Multi-task Modular Backpropagation for Feature-Based Pattern Classification
A Scan-to-Locality Map Strategy for 2D LiDAR and RGB-D Data Fusion
Unified Framework for Visual Domain Adaptation Using Globality-Locality Preserving Projections
Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-Shot Neural Scene Segmentation
A Novel Algorithm for Associative Classification
Adaptive Intrusion Recognition for Ultraweak FBG Signals of Perimeter Monitoring Based on Convolutional Neural Networks
Shape Preserving RGB-D Depth Map Restoration
Are Deep Neural Architectures Losing Information? Invertibility is Indispensable
Protein Metal Binding Residue Prediction Based on Neural Networks
An Integrated Neuro-mechanical Model of C. elegansForward Locomotion
Learnable Gabor Convolutional Networks
Proposing Matchability Criterion for Situation Decomposition - Extracting Situations each of which Contains a Rule
Speed Up Image Annotation Based on LVQ Technique with Affinity Propagation Algorithm
A Robust Segmentation Algorithm for the MRF Texture Images and Its Implementation by a Neural Circuitry
Visual Selective Attention Model Considering Bottom-Up Saliency and Psychological Distance
Single-Image Smoker Detection by Human-Object Interaction with Post-refinement
Adaptive Parameters Determination Method of Pulse Coupled Neural Network Based on Water Valley Area
An Enhanced MILP-Based Verifier for Adversary Robustness of Neural Networks
Image Brightness Adjustment with Unpaired Training
Multi-object Tracking with Conditional Random Field
Testing and Understanding Second-Order Statistics of Spike Patterns Using Spike Shuffling Methods
Mitigating Deception in Genetic Search Through Suitable Coding
Boltzmann Exploration for Deterministic Policy Optimization
Exponential Stability of Matrix-Valued BAM Neural Networks with Time-Varying Delays
Optimal Design of Cable-Driven Parallel Robots by Particle Schemes
Responsive CPG-Based Locomotion Control for Quadruped Robots
MPLinear: Multiscale Patch Linear Model for Long-Term Time Series Forecasting
Label Preserved Heterogeneous Network Embedding
Convolutional Neural Network Architecture with Exact Solution
Impulsive Accelerated Reinforcement Learning for H ∞ Control
Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched Interconnections
TransCenter: Transformer in Heatmap and a New Form of Bounding Box
Nonparametric Time-Varying Phasor Estimation Using Neural Networks
Gender Classification of Face Images: The Role of Global and Feature-Based Information
Implicit Camera Calibration Using an Artificial Neural Network
Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-agent Systems
Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies
Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination
Translation of Motivation into Action in the Basal Ganglia
A RBFN Based Cogging Force Estimator of PMLSM with q<1 Structure
Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking
A Genetic Algorithm to Find Pareto-optimal Solutions for the Dynamic Facility Layout Problem with Multiple Objectives
Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning
A Comparison Study of Deep Learning Techniques to Increase the Spatial Resolution of Photo-Realistic Images
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII
Principal Component Analysis for Sparse High-Dimensional Data
An Effective Retrieval Method with Semantic Networks for Mobile Life-Log of Smartphones
A Quasi-linear Approach for Microarray Missing Value Imputation
Denoising Cluster Analysis
A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks
Addressing Reward Engineering for Deep Reinforcement Learning on Multi-stage Task
Sampling Normal Distribution Restricted on Multiple Regions
Comparing Conventional Techniques and Artificial Neural Networks for Predicting the Risk of Business Failure
Convolutional Networks Based Edge Detector Learned via Contrast Sensitivity Function
TS3DCNN: A Fine-Grained Classification Network for Fetal Heart Rate Abnormality Detection
Implementation of Face Selective Attention Model on an Embedded System
Improving Generalization of Reinforcement Learning for Multi-agent Combating Games
Vector Quantization Using Mixture of Epsilon-Insensitive Components
Trend of a Present Color Management Technology in the Industry
Elastic Matching Algorithms for Online Tamil Character Recognition
Applying an Intelligent Neural System to Predicting Lot Output Time in a Semiconductor Fabrication Factory
Uformer++: Light Uformer for Image Restoration
Information Criterion for Acquisition of Optimal Internal Representation in Neural Networks
Accelerated Classifier Training Using the PSL Cascading Structure
The Deferred Event Model for Hardware-Oriented Spiking Neural Networks
Ensemble of Competitive Associative Nets for Stable Learning Performance in Temperature Control of RCA Cleaning Solutions
A Fusion Framework to Enhance sEMG-Based Gesture Recognition Using TD and FD Features
A Malicious Code Family Classification Method Based on RGB Images and Lightweight Model
Multi-Sphere Support Vector Clustering
A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution
An Improvement of AdaBoost to Avoid Overfitting
Employing Genetic Algorithm to Construct Epigenetic Tree-Based Features for Enhancer Region Prediction
Fuzzy K-Nearest Neighbor Classifier to Predict Protein Solvent Accessibility
Stacked Denoising Autoencoders for Face Pose Normalization
Application of Genetic Neural Networks for Modeling of Active Devices
Implementation of Desired Digital Spike Maps in the Digital Spiking Neurons
Deterministic Approach to Dynamic Sample Selection
The Usability of Metadata for Android Application Analysis
A New Method for Automated Image Warping Based on a Variational Approach
G-Means: A Clustering Algorithm for Intrusion Detection
A Hybrid Fuzzy Approach for Human Eye Gaze Pattern Recognition
Neural Network-Based Scalable Fast Intra Prediction Algorithm in H.264 Encoder
On-Line EM Algorithm for Mixture of Local Experts
An Optimized Second Order Stochastic Learning Algorithm for Neural Network Training
An Interpretable Vulnerability Detection Framework Based on Multi-task Learning
An Efficient Stereo Matching Algorithm Using Local Line Intensity Pattern-Based Cost Function
Task Learning Based on Reinforcement Learning in Virtual Environment
RBF ANN Nonlinear Prediction Model Based Adaptive PID Control of Switched Reluctance Motor Drive
A Small Scale Multi-Column Network for Aesthetic Classification Based on Multiple Attributes
From Receptive Field to Connection Strengths
ADERec: Adaptive Data Augmentation Sequence Recommendation Based on Dual Network Architecture
Weakly Supervised Fine-Grained Visual Recognition via Adversarial Complementary Attentions and Hierarchical Bilinear Pooling
Assessing and Enhancing LLMs: A Physics and History Dataset and One-More-Check Pipeline Method
Learning Stable Representations with Progressive Autoencoder (PAE)
A Data Augmentation Model Based on Variational Approach
A Kernel-Based Sarsa( \lambda ) Algorithm with Clustering-Based Sample Sparsification
Diagnosis of Lung Nodule Using Independent Component Analysis in Computerized Tomography Images
Hardware Design of Japanese Hand Sign Recognition System
ADTR: Anomaly Detection Transformer with Feature Reconstruction
Decoupled Modeling of Gene Regulatory Networks Using Michaelis-Menten Kinetics
Autonomous Depth Perception of Humanoid Robot Using Binocular Vision System Through Sensorimotor Interaction with Environment
Independence of Perception and Action for Grasping Positions
Language Identification Using Deep Convolutional Recurrent Neural Networks
Deep Spatial-Temporal Field for Human Head Orientation Estimation
Choosing the Best Auto-Encoder-Based Bagging Classifier: An Empirical Study
Deep Part-Based Image Feature for Clothing Retrieval
Cross-Domain Scene Text Detection via Pixel and Image-Level Adaptation
Whole Brain Architecture Approach Is a Feasible Way Toward an Artificial General Intelligence
The Improvements of the Learning Vector Quantization Method
Improving the Robustness of Single-View-Based Ear Recognition When Rotated in Depth
MultNet: An Efficient Network Representation Learning for Large-Scale Social Relation Extraction
A Motif-Based Graph Neural Network to Reciprocal Recommendation for Online Dating
Neural Causality Detection for Multi-dimensional Point Processes
Application of ICA in the Separation of Breathing Artifacts in ECG Signal
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network
Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition
Combining Pairwise Coupling Classifiers Using Individual Logistic Regressions
A Between-Word Distance Calculation in a Symbol Domain and its Applications to Speech Recognition
Siamese Network for Classification with Optimization of AUC
Training Multi-Layer Perceptrons by Natural Gradient Descent
A Gaussian Mixture Model Based System for Detection of Macula in Fundus Images
Pathological Diagnosis Support System Using Neural Networks
An Encoder-Decoder Based Approach for ECG Delineation
Modelling Multi criteria Decision Making Process with Fuzzy Extent Analysis
Self-Adaptive Network Pruning
Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making
Learnable Color Image Zero-Watermarking Based on Feature Comparison
Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent
Multi-branch Fusion Fully Convolutional Network for Person Re-Identification
Exploiting Cluster Structure in Probabilistic Matrix Factorization
Attention-Based Deep Q-Network in Complex Systems
Brain Network Decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE)
Using Argumentation for the Decomposition and Classification of Tasks for Hybrid System Development
Time-Warp-Invariant Processing with Multi-spike Learning
Vehicle License Plate Localization and License Number Recognition Using Unit-Linking Pulse Coupled Neural Network
Temporal Attention for Robust Multiple Object Pose Tracking
Robust Hypersurface Fitting Based on Random Sampling Approximations
Traffic Control Model with Neural Network Analogy
Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-attention
A Multiple Sound Source Recognition System Using Pulsed Neuron Model with Short Term Synaptic Depression
A Novel Framework Based on Trace Norm Minimization for Audio Event Detection
Fast Half Pixel Motion Estimation Based on Spatio-temporal Correlations
Encoding Multisensory Information in Modular Neural Networks
Representative and Discriminant Feature Extraction Based on NMF for Emotion Recognition in Speech
Inference in Neural Networks Using Conditional Mean-Field Methods
Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition
Real-Time Synthesis of 3D Animations by Learning Parametric Gaussians Using Self-Organizing Mixture Networks
Network Flow Classification Based on the Rhythm of Packets
Medial Axis for 3D Shape Representation
Cross-Database Facial Expression Recognition via Unsupervised Domain Adaptive Dictionary Learning
MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information
Biomarker Development on Alcohol Addiction Using EEG
Classify Event-Related Motor Potentials of Cued Motor Actions
Detection for Pickup Errors by Artificial Neural Networks
In-Context Learning for Temperature Field Reconstruction Under Multiple Layouts
Structural Properties of Associative Knowledge Graphs
Localized Bayes Estimation for Non-identifiable Models
Vehicle Taillight Detection Based on Semantic Information Fusion
Fuzzy Partial Periodic Frequent Pattern Mining in Quantitative Temporal Databases
Reliability Estimation of Electrical Parts by Using Evolutionary Neural Computation
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM
Neural Network Method for Protein Structure Search Using Cell-Cell Adhesion
Incorporating Generation Method and Discourse Structure to Event Coreference Resolution
Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features
Gaussian-Bernoulli Based Convolutional Restricted Boltzmann Machine for Images Feature Extraction
Unsupervised Land Classification by Self-organizing Map Utilizing the Ensemble Variance Information in Satellite-Borne Polarimetric Synthetic Aperture Radar
The Inadequacy of Entropy-Based Ransomware Detection
A Family of Maximum Margin Criterion for Adaptive Learning
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV
Trust and Equity Theory in Prisoner's Dilemma
Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Resnet-2D-ConvLSTM: A Means to Extract Features from Hyperspectral Image
Offensive Sentence Classification Using Character-Level CNN and Transfer Learning with Fake Sentences
Tensor Based Simultaneous Feature Extraction and Sample Weighting for EEG Classification
Improving the Quality of EEG Data in Patients with Alzheimer's Disease Using ICA
Recognition of Rotated Patterns Using Neocognitron
A Hybrid Model for Prediction of Peptide Binding to MHC Molecules
Temporal Independent Component Analysis for Separating Noisy Signals
Some Computational Predictions on the Possibilities of Three-Dimensional Properties of Grid Cells in Entorhinal Cortex
Facial Emotion Profiling Based on Emotion Specific Feature Model
Modelling ARMA Time Series: the Effect of Noise
FCFNet: A Network Fusing Color Features and Focal Loss for Diabetic Foot Ulcer Image Classification
Multi-granularity Complex Question Answering Over Temporal Knowledge Graphs
Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part III
Fast Approximated Discriminative Common Vectors Using Rank-One SVD Updates
Automating Inspection of Moveable Lane Barrier for Auckland Harbour Bridge Traffic Safety
Deciphering the Genetic Blueprint of Cerebellar Development by the Gene Expression Profiling Informatics
Graph Matching Based on Fast Normalized Cut
Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse Coding
Statistical Learning in Optimization: Gaussian Modeling for Population Search
Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine
k-Winners-Take-All Ensemble Neural Network
Identifying Task-Based Dynamic Functional Connectivity Using Tensor Decomposition
Neural Machine Translation with Soft Reordering Knowledge
Improved Transiently Chaotic Neural Network and Its Application to Optimization
Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation
Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes
Adaptive Hausdorff Distances and Tangent Distance Adaptation for Transformation Invariant Classification Learning
Syntax Tree Constrained Graph Network for Visual Question Answering
Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition
Measuring Determinism in Time Series by Chaotic Approach
Direction of Arrival Estimation Based on Minor Component Analysis Approach
Zero-Shot Transfer Learning Based on Visual and Textual Resemblance
WGAN Domain Adaptation for EEG-Based Emotion Recognition
Optimality of Reaching Movements Based on Energetic Cost under the Influence of Signal-Dependent Noise
An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks
Training RBF Neural Networks with PSO and Improved Subtractive Clustering Algorithms
One-Dimensional-Array Millimeter-Wave Imaging of Moving Targets for Security Purpose Based on Complex-Valued Self-Organizing Map (CSOM)
Enhancing Competitive Island Cooperative Neuro-Evolution Through Backpropagation for Pattern Classification
RBHAR: Role-Based Heterogeneous Action Representation in Multi-agent Reinforcement Learning
Incremental Learning on a Budget and Its Application to Power Electronics
Deriving IF-THEN Rules for Intelligent Decision Support via Inductive Learning
A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance
Real-Time Decentralized M2M Decision-Making via Deep Learning and Incremental Learning
Hybrid Multiple Component Neural Network Leaming with Efficient Pattern Partitioning and PCA
Find Rooms for Improvement: Towards Semi-automatic Labeling of Occupancy Grid Maps
Method of Solving Combinatorial Optimization Problems with Stochastic Effects
Object Tracking Based on Mean Shift Algorithm and Kernelized Correlation Filter Algorithm
Error Analysis of a Sub-millimeter Real-Time Target Recognition System with a Moving Camera
Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task
Ultra-wideband Beamforming by Using a Complex-Valued Spatio-temporal Neural Network
Classification of Power Quality Disturbances Using Artificial Neural Networks and a Logarithmically Compressed S-Transform
Analyzing the Impact of Feature Drifts in Streaming Learning
Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network
A Sensory-Motor Theory of Rhythm and Timing in Music and Speech
An Online Human Activity Recognizer for Mobile Phones with Accelerometer
Power and Task Management in Wireless Body Area Network Based Medical Monitoring Systems
Applying Macroclimatic Variables to Improve Flow Rate Forecasting Using Neural Networks Techniques
RANSAC Based Ellipse Detection with Application to Catadioptric Camera Calibration
Non-Holonomic Constraints in Learning Blind Source Separation
Spontaneous Voltage Transients in Mammalian Retinal Ganglion Cells Dissociated by Vibration
Network Structure and Recurrent Dynamics Achieved by Maximizing Information Transfer and Minimizing Maintenance Costs of the Network
Deep Learning Based Personalized Stock Recommender System
Extending DenseHMM with Continuous Emission
How Well Does A Neural Network Model ARMA Models?
A Novel Application of Particle Swarm Optimisation to Optimal Trade Execution
Span Detection for Kinematics Word Problems
Fusioning Multiple Treatment Retina Images into a Single One
A Sequential Data Mining Method for Modelling Solar Magnetic Cycles
Dual-Convolutional Enhanced Residual Network for Single Super-Resolution of Remote Sensing Images
A Novel Artificial Model of Spiral Ganglion Cell and Its Spike-Based Encoding Function
Solving the Double Dummy Bridge Problem with Shallow Autoencoders
Genetic Algorithm Based Fuzzy ID3 Algorithm
EEG Epileptic Seizure Classification Using Hybrid Time-Frequency Attention Deep Network
Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data
GARF: Towards Self-optimised Random Forests
Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX
Vigilance Estimation Based on Statistic Learning with One ICA Component of EEG Signal
CLF-AIAD: A Contrastive Learning Framework for Acoustic Industrial Anomaly Detection
Global Exponential Synchronization of Quaternion-Valued Neural Networks via Quantized Control
A Joint Identification Network for Legal Event Detection
A New Dynamical Memory System Based on Chaotic Neural Networks
Neural Network Design Using Spectral Analysis
Predicting Concept Changes Using a Committee of Experts
Learning of Three Layer Neural Networks Based on Domains of Attraction
Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network
Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks
OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction