yusuke1997/dblp-id-title huggingface dataset:
First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model
Analyzing Price Data to Determine Positive and Negative Product Associations
A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis
Bio-Inspired Functional Asymmetry Camera System
Fast and Accurate Hand-Raising Gesture Detection in Classroom
Multi-document Summarization Using Adaptive Composite Differential Evolution
Restricted Boltzmann Machine with Adaptive Local Hidden Units
MVCAL: Multi View Clustering for Active Learning
Intelligent Control of Heating, Ventilating and Air Conditioning Systems
Texture Segmentation Based on Neuronal Activation Degree of Visual Model
Fast Color Quantization via Fuzzy Clustering
Prototype-Based Threshold Rules
A Robust TOA Source Localization Algorithm Based on LPNN
Largrange Programming Neural Network for Wire Routing Problem
A Fast Edge-Directed Interpolation Algorithm
Simultaneous Feature Selection and Clustering Using Particle Swarm Optimization
Exogenous and Endogenous Based Spatial Attention Analysis for Human Implicit Intention Understanding
Optimizing Interval Multi-objective Problems Using IEAs with Preference Direction
Modularity Embedding
Accelerating Core Decomposition in Large Temporal Networks Using GPUs
A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling
Multi-knowledge Embeddings Enhanced Topic Modeling for Short Texts
Wavelet Energy Signature: Comparison and Analysis
PEAQ Compatible Audio Quality Estimation Using Computational Auditory Model
Knowledge Reuse of Learning Agent Based on Factor Information of Behavioral Rules
In-WSOD: Integrality Weakly Supervised Object Detection with Classification and Localization Consistency
Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain
DFFCN: Dual Flow Fusion Convolutional Network for Micro Expression Recognition
A Neuro-Network Processing to Recognize Functional Regions from Distributed Neural Activities
Incremental Self-Organizing Maps for Collaborative Clustering
A Common-Neural-Pattern Based Reasoning for Mobile Robot Cognitive Mapping
Discriminative Feature Analysis and Selection for Document Classification
Implicit Clothed Human Reconstruction Based on Self-attention and SDF
Use of a Sparse Structure to Improve Learning Performance of Recurrent Neural Networks
Combining Filter Bank and KSH for Image Retrieval in Bone Scintigraphy
Precipitation Nowcast with Artificial Neural Networks
A Data-Free Substitute Model Training Method for Textual Adversarial Attacks
A Methodology for Analyzing Overall Flow of Spam-Based Attacks
Tropical Fruits Classification Using an AlexNet-Type Convolutional Neural Network and Image Augmentation
Energy-Balanced Distributed Sparse Kernel Machine in Wireless Sensor Network
Intra-class Structure Aware Networks for Screen Defect Detection
BPSpike II: A New Backpropagation Learning Algorithm for Spiking Neural Networks
Generating Spatiotemporal Trajectories with GANs and Conditional GANs
Application of ICA in On-Line Verification of the Phase Difference of the Current Sensor
Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory
Pseudo-network Growing for Gradual Interpretation of Input Patterns
Analysis on the Occurrence of Tropical Cyclone in the South Pacific Region Using Recurrent Neural Network with LSTM
Doubting What to Eat: A Computational Model for Food Choice Using Different Valuing Perspectives
Enhanced Codebook Model for Real-Time Background Subtraction
A Voice-Based Gender and Age Recognition System on Devices with Low Computational Resources
Transfer Learning Based Long Short-Term Memory Network for Financial Time Series Forecasting
Multi-scale Structural Asymmetric Convolution for Wireframe Parsing
A Study on Bayesian Learning of One-Dimensional Linear Dynamical Systems
Ciphertext Retrieval Technology of Homomorphic Encryption Based on Cloud Pretreatment
NAS-StegNet: Lightweight Image Steganography Networks via Neural Architecture Search
Axonal Slow Integration Induced Persistent Firing Neuron Model
N2SkyC - User Friendly and Efficient Neural Network Simulation Fostering Cloud Containers
A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling
Time-Series Forecasting Through Contrastive Learning with a Two-Dimensional Self-attention Mechanism
STCN-GR: Spatial-Temporal Convolutional Networks for Surface-Electromyography-Based Gesture Recognition
How to Support Sport Management with Decision Systems? Swimming Athletes Assessment Study Sase
Customized Anchors Can Better Fit the Target in Siamese Tracking
Using Spiking Neural Networks for the Generation of Coordinated Action Sequences in Robots
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles
Protein Fold Prediction Problem Using Ensemble of Classifiers
G-HAPNet: A Novel Structure for Single Image Super-Resolution
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
Annotating Words Using WordNet Semantic Glosses
Demographic Prediction from Purchase Data Based on Knowledge-Aware Embedding
Fast Visual Object Tracking Using Convolutional Filters
Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection
Improved Biohashing Method Based on Most Intensive Histogram Block Location
Speech Recognition with Multi-modal Features Based on Neural Networks
Prediction and Analysis of Acoustic Displacement Field Using the Method of Neural Network
Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks
Hide-and-Seek GANs for Generation with Limited Data
Fractal Structure of Linear Recurrent Neural Networks with Temporal Input
Multi-model Smart Contract Vulnerability Detection Based on BiGRU
Online Gesture Recognition for User Interface on Accelerometer Built-in Mobile Phones
Low-Resource Neural Machine Translation Using Fast Meta-learning Method
RBF Neural Network is more Suitable for Function Approximating than Modeling in Nonlinear Time Series Analysis
Global Bifurcation Analysis of a Pyramidal Cell Model of the Primary Visual Cortex: Towards a Construction of Physiologically Plausible Model
Diffusion-MPPI: Diffusion Informed Model Predictive Path Integral Method
Using Transformer Towards Cross-Hops Question Answering
TaW-PeRCNN:Time-Adaptive Weights Physics-Encoded Recurrent Convolutional Neural Network for Solving Partial Differential Equations
A Fully Automated Pattern Classification Method of Combining Self-Organizing Map with Generalization Regression Neural Network
Multitask Model for End-to-End Event Coreference Resolution
Exploring the Power of Kernel in Feature Representation for Object Categorization
Packet-Dropouts Compensation for Networked Control System via Deep ReLU Neural Network
Research on Relationship between Saccadic Eye Movements and EEG Signals in the Case of Free Movements and Cued Movements
Pulse-Type Hardware Neural Network with Two Time Windows in STDP
Effective Learning with Heterogeneous Neural Networks
Storm Surge Prediction for Louisiana Coast Using Artificial Neural Networks
The Role of Rhythm in Attending to Auditory Patterns
Domain Adaptation via Identical Distribution Across Models and Tasks
Computing Skyline Probabilities on Uncertain Time Series
An Expanded HP Memristor Model for Memristive Neural Network
Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing
SFINe: Structural-Functional Individual Brain Network Modeling Integrating Group-Level Characteristics
Facial Image Analysis Using Subspace Segregation Based on Class Information
Multi-person 3D Pose Estimation from Monocular Image Sequences
Possibility of Cantor Coding by Spatial Input Patterns
An Integrated Hierarchical Gaussian Mixture Model to Estimate Vigilance Level Based on EEG Recordings
Improvement Algorithm for Approximate Incremental Learning
Category-Embodied Knowledge Embedding
Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees
A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data
Classification Models for Medical Data with Interpretative Rules
DSNet: A Decoupled Siamese Network for ECG Classification
GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning
Personalized Fingerprint Segmentation
Architecture of Behavior-Based Function Approximator for Adaptive Control
Emergence of Highly Nonrandom Functional Synaptic Connectivity Through STDP
Time Series Analysis for Long Term Prediction of Human Movement Trajectories
Towards Accurate Alignment and Sufficient Context in Scene Text Recognition
High-Level Task-Driven Single Image Deraining: Segmentation in Rainy Days
ST-NAS: Efficient Optimization of Joint Neural Architecture and Hyperparameter
A Stealth Security Hardening Method Based on SSD Firmware Function Extension
Temporal Neighborhood Change Centrality for Important Node Identification in Temporal Networks
Outer Synchronization for Multi-derivative Coupled Complex Networks with and without External Disturbance
Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-Shot Intent Detection Approach
Quasi-Orthogonal Maps for Dynamic Language Recognition
Comparative Analysis of Clustering Algorithms Applied to the Classification of Bugs
Hidden Space Neighbourhood Component Analysis for Cancer Classification
Efficient Double Oracle for Extensive-Form Two-Player Zero-Sum Games
Significance for Hippocampal Memory of Context-Like Information Generated in Hippocampal CA3c
Email Personalization and User Profiling Using RANSAC Multi Model Response Regression Based Optimized Pruning Extreme Learning Machines and Gradient Boosting Trees
Braintech'21: Korean Proposal for Creating Artificial Brains from Hint
Multi-Robot Task Allocation Based on Cloud Ant Colony Algorithm
P300 Response Classification in the Presence of Magnitude and Latency Fluctuations
Bayes Rule and Expected Utility Rule: An Unified Axiomatic Approach
Combined Kernel Function for Support Vector Machine and Learning Method Based on Evolutionary Algorithm
An Image Quality Evaluation Method Based on Joint Deep Learning
Promoting Diversity in Particle Swarm Optimization to Solve Multimodal Problems
A Novel Method for Manifold Construction
The Optimal Control of Discrete-Time Delay Nonlinear System with Dual Heuristic Dynamic Programming
Deep Detection for Face Manipulation
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V
GMamba: EEG Representation Learning from Spatiotemporal Perspectives via Graph Mamba
Abstractive Multi-document Summarization with Cross-Documents Discourse Relations
Enhancing LSTM and Fusing Articles of Law for Legal Text Summarization
On the Robustness of Fuzzy-Genetic Colour Contrast Fusion with Variable Colour Depth
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence
Image Periodization for Convolutional Neural Networks
Image Filling-In: A Gestalt Approach
Cortical Coding of Surface Textures and Contour Shapes in the Intermediate-Level Visual Area V4
DSE-Net: Deep Semantic Enhanced Network for Mobile Tongue Image Segmentation
Towards Human-Level Performance in Solving Double Dummy Bridge Problem
Improving Deep Learning by Regularized Scale-Free MSE of Representations
An Improved Modular Neural Network Model for Adaptive Trajectory Tracking Control of Robot Manipulators
Hardware Implementation of PCA Neural Network
Sentiment Analysis of Chinese Microblogs Based on Layered Features
An Efficient Data Extraction Framework for Mining Wireless Sensor Networks
A New Approach to Load Forecasting: Using Semi-parametric Method and Neural Networks
Adaptive Noise Schedule for Denoising Autoencoder
Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External Stimulus
An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses
Application of Improved Kohonen SOFM Neural Network to Radar Signal Sorting
Modeling of Emotion as a Value Calculation System
EEG Classification with BSA Spike Encoding Algorithm and Evolving Probabilistic Spiking Neural Network
Application of SOM to Quantitative Chemical Data Analysis
Automated Log Analysis of Infected Windows OS Using Mechanized Reasoning
Swarm Diversity Based Text Summarization
Functional Human Brain Mapping and Imaging by Transcranial Magnetic Stimulation, Magnetoencephalography, and Direct Current MRI
Aided Diagnosis of Autism Spectrum Disorder Based on a Mixed Neural Network Model
Exploration of Different Attention Mechanisms on Medical Image Segmentation
Temporal Information and Network Organization
Field Support Vector Regression
Spatial Quality Aware Network for Video-Based Person Re-identification
Japanese Hand Sign Recognition System
Online Recommender System Based on Social Network Regularization
A Look-Ahead Fuzzy Back Propagation Network for Lot Output Time Series Prediction in a Wafer Fab
Hybedrized NSGA-II and MOEA/D with Harmony Search Algorithm to Solve Multi-objective Optimization Problems
Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria
Dynamics of Neuronal Responses in the Inferotemporal Cortex Associated with 3D Object Recognition Learning
SegDaemon: Actively Protecting Semantic Segmentation Models Against Intellectual Property Infringement
Time and Rate of Success in Chaotic Search of Cyclic Memories
New Algorithm for Principal Components and Minor Components Extraction
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XV
Emergence of Higher Exploration in Reinforcement Learning Using a Chaotic Neural Network
Pre-trained Extreme Learning Machine
Teacher-Directed Learning with Gaussian and Sigmoid Activation Functions
A Saliency Detection Model Based on Local and Global Kernel Density Estimation
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition
Robust Portfolio Risk Minimization Using the Graphical Lasso
Data Representation and Clustering with Double Low-Rank Constraints
GSNESR: A Global Social Network Embedding Approach for Social Recommendation
ISP-FESAN: Improving Significant Wave Height Prediction with Feature Engineering and Self-attention Network
GACE: Learning Graph-Based Cross-Page Ads Embedding for Click-Through Rate Prediction
Visual Attention and Gaze Control for an Active Vision System
Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions
Exploration on the Generation of Chinese Palindrome Poetry
Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection
Computational Modeling and Analysis of the Role of Physical Activity in Mood Regulation and Depression
On Efficient Federated Learning for Aerial Remote Sensing Image Classification: A Filter Pruning Approach
Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions
Face Tracking Algorithm Based on Mean Shift and Ellipse Fitting
DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer
Recursive Similarity-Based Algorithm for Deep Learning
An Image Representation Method Based on Retina Mechanism for the Promotion of SIFT and Segmentation
P-Order Normal Cloud Model: Walking on the Way between Gaussian and Power Law Distributions
Excitatory-Inhibitory Dynamics in Adaptive Decision-Making
A Pointer-Generator Based Abstractive Summarization Model with Knowledge Distillation
Adaptive Color Space Switching Based Approach for Face Tracking
Combining Active Learning and Semi-supervised Learning Using Local and Global Consistency
Regularizing Variational Autoencoders for Molecular Graph Generation
A Closed-Form Estimator of Fully Visible Boltzmann Machines
Neural Network Based Association Rule Mining from Uncertain Data
Recurrent Neural Network with Adaptive Gating Timescales Mechanisms for Language and Action Learning
Emotion Recognition Model Using Source-Temporal Features and Fuzzy
Real Time Crowd Counting with Human Detection and Human Tracking
A Novel Method of Sparse Least Squares Support Vector Machines in Class Empirical Feature Space
Workpiece Recognition by the Combination of Multiple Simplified Fuzzy ARTMAP
More Than One-Hot: Chinese Macro Discourse Relation Recognition on Joint Relation Embedding
Intra-domain Knowledge Generalization in Cross-Domain Lifelong Reinforcement Learning
A Knowledge Processing Neural Network Based on Automatic Concept Hierarchization
Adaptive Deep Dictionary Learning for MRI Reconstruction
Learning Latent Byte-Level Feature Representation for Malware Detection
SpringNet: Transformer and Spring DTW for Time Series Forecasting
Aligning Users Across Social Networks by Joint User and Label Consistence Representation
Neurodynamical Top-Down Processing during Auditory Attention
Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error Algorithm
A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering
Text-Independent Speaker Verification from Mixed Speech of Multiple Speakers via Using Pole Distribution of Speech Signals
Nonlinear Image Interpolation by Radial Basis Function Networks
Nonlinear Function Generators and Chaotic Signal Generators Based on Pulse-Phase Modulation
Roles of Gap Junctions in Organizing Traveling Waves in a Hippocampal CA3 Network Model
AGRP: A Fused Aspect-Graph Neural Network for Rating Prediction
CoMISI: Multimodal Speaker Identification in Diverse Audio-Visual Conditions Through Cross-Modal Interaction
An Extended Model on Self-Organizing Map
Macro Features Based Text Categorization
Perception of Two-Stroke Apparent Motion and Real Motion
A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization
Physiological Validation of Bimodal Direction Tunings Predicted by a Motion Detection Model in Area MT of Monkey
Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model
Clustering Friendly Dictionary Learning
BEVRoad: A Cross-Modal and Temporary-Recurrent 3D Object Detector for Infrastructure Perception
MON: Multiple Output Neurons
A Unified Framework for Thermal Face Recognition
Artificial Bee Colony Algorithm Based on Neighboring Information Learning
Combining User-Based and Session-Based Recommendations with Recurrent Neural Networks
SODet: A LiDAR-Based Object Detector in Bird's-Eye View
Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm
A Survey of Applying Machine Learning Techniques for Credit Rating: Existing Models and Open Issues
A Divide-and-Conquer Approach to the Pairwise Opposite Class-Nearest Neighbor (POC-NN) Algorithm for Regression Problem
DocNER: A Deep Learning System for Named Entity Recognition in Handwritten Document Images
CNN-LSTM Neural Network Model for Quantitative Strategy Analysis in Stock Markets
Deep Supervised Hashing by Classification for Image Retrieval
Probabilistic Prediction for Text-Prompted Speaker Verification Capable of Accepting Spoken Words with the Same Meaning but Different Pronunciations
Emotion Recognition with Facial Attention and Objective Activation Functions
Pixel-Semantic Revising of Position: One-Stage Object Detector with Shared Encoder-Decoder
BEM-DBNet: Bi-Weighted Multi-Level Feature Enhancement for Text Detection
Learning Disentangled Representations with Attentive Joint Variational Autoencoder
Computational Modeling of Risk-Related Eye Movement of Car Drivers
Neural Networks Based Automated Test Oracle for Software Testing
Intelligent Behavior Generation of Benevolent Agents with a Stochastic Model of Emotion
Application of Grammatical Swarm to Symbolic Regression Problem
Vision-Motor Abstraction toward Robot Cognition
Guide-Wire Detecting Based on Speeded up Robust Features for Percutaneous Coronary Intervention
Hybrid Intelligent PID Control for MIMO System
Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals
Simultaneous Learning of Instantaneous and Time-Delayed Genetic Interactions Using Novel Information Theoretic Scoring Technique
STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse
Biclustering and Subspace Learning with Regularization for Financial Risk Analysis
Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part V
Multiobjective Optimization Design of a Hybrid Actuator with Genetic Algorithm
Document Image Classification Method Based on Graph Convolutional Network
Regularly Frequent Patterns Mining from Sensor Data Stream
Multiple Paired Forward-Inverse Models in the Cerebellum
Printed Chinese Optical Character Recognition by Neural Network
An Improved NN Training Scheme Using Two-Stage LDA Features for Face Recognition
Characterisation of Information Flow in an Izhikevich Network
Top-Down Attention Guided Object Detection
The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks
Utilizing Fuzzy-SVM and a Subject Database to Reduce the Calibration Time of P300-Based BCI
Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis
Diversifying Question Recommendations in Community-Based Question Answering
Embedded System for Human Augmented Cognition Based on Face Selective Attention Using Eye Gaze Tracking
Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model
Multi-label Learning with Label-Specific Feature Selection
Neural Network Approach to Surface Finish and Force Estimation in Turning
Consistent Knowledge Distillation Based on Siamese Networks
Investigations into Particle Swarm Optimization for Multi-class Shape Recognition
Gating Echo State Neural Networks for Time Series Forecasting
Layer-Prioritized Influence Maximization in Social Networks
Discrete Sparse Hashing for Cross-Modal Similarity Search
Markovian Models for Electrical Load Prediction in Smart Buildings
Optical Design of Associative Memory Using a Bistable Spatial Light Modulator
Aggregating Class Interactions for Hierarchical Attention Relation Extraction
Modeling User's Neutral Feedback in Conversational Recommendation
Estimation Methods of Presumed Income
FPD: Feature Pyramid Knowledge Distillation
A New Ensemble Clustering Method Based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction
Neural Networks for Feature Selection
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VI
Hydrological Forecasting and Updating Procedures for Neural Network
Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System
CNN-Based Chinese Character Recognition with Skeleton Feature
Semi-supervised Multi-label Linear Discriminant Analysis
Self-Organized Gabor Features for Pose Invariant Face Recognition
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction
Multi-Features Fusion Based Face Recognition
Frequency Decomposition Based Gene Clustering
A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Blind Source Separation Techniques
Data-Driven and Collision-Free Hybrid Crowd Simulation Model for Real Scenario
A Gaussian Process-Based Incremental Neural Network for Online Regression
A Modified Hidden Weight Optimization Algorithm Based Neural Network Model for Permeability Prediction from Well-Logs Data
PoseGate-Former: Transformer Encoder with Trainable Gate for 3D Human Pose Estimation Using Weakly Supervised Learning
Modeling Corrupted Time Series Data via Nonsingleton Fuzzy Logic System
Density Boosting for Gaussian Mixtures
AFLLC: A Novel Active Contour Model Based on Adaptive Fractional Order Differentiation and Local-Linearly Constrained Bias Field