yusuke1997/dblp-id-title huggingface dataset:
Deep Matrix Factorization on Graphs: Application to Collaborative Filtering
Harmony Search with Multi-Parent Crossover for Solving IEEE-CEC2011 Competition Problems
Proposal of Singular-Unit Restoration by Focusing on the Spatial Continuity of Topographical Statistics in Spectral Domain
VG-RAM WNN Approach to Monocular Depth Perception
A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System
Consensus Based Distributed Reinforcement Learning for Nonconvex Economic Power Dispatch in Microgrids
A Cyclostationarity Analysis Applied to Scaled Images
Mutually Guided Dendritic Neural Models
Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, ICONIP 1997, Volume I, Dunedin, New Zealand, 24-28 November, 1997
Neural Networks That Mimic the Human Brain: Turing Machines versus Machines That Generate Conscious Sensations
Composition and Analysis of Pareto Optimal Compromise Solutions for Multiobjective Robust Controller Using GPC and CAN2s
Structures of Surround Modulation for the Border-Ownership Selectivity of V2 Cells
Deep Structure of Gaussian Kernel Function Networks for Predicting Daily Peak Power Demands
Modeling Dehydriding Behavior of Hydrogen Storage Materials with Neural Networks
Adaptive Blind Equalization Using Bottleneck Networks Implemented by Evolvable Hardware
Convolutional Transform Learning
Vision Transformer-Based Federated Learning for COVID-19 Detection Using Chest X-Ray
An Efficient Feature Selection Using Ant Colony Optimization Algorithm
Set-Similarity Joins Based Semi-supervised Sentiment Analysis
High-Resolution Self-attention with Fair Loss for Point Cloud Segmentation
Exchange Rate Forecasting Using Classifier Ensemble
Mosaic Learning: A New Algorithm for Self Organising Neural Networks to Learn Dynamic Channel Assignment Schemes
Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition
Sensitivity and Uniformity in Detecting Motion Artifacts
Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget
Self-organizing Rhythmic Patterns with Spatio-temporal Spikes in Class I and Class II Neural Networks
Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics
Manufacturing Yield Improvement by Clustering
Impulsion of Movie's Content-Based Factors in Multi-modal Movie Recommendation System
Leverages Based Neural Networks Fusion
Classmates Enhanced Diversity-Self-Attention Network for Dropout Prediction in MOOCs
FPGA Based Hardware Implementation of Simple Dynamic Binary Neural Networks
Office-Space-Allocation Problem Using Harmony Search Algorithm
Language Guided Graph Transformer for Skeleton Action Recognition
Emergency Materials Scheduling in Disaster Relief Based on a Memetic Algorithm
Phase-Dependent Walking Rhythm Reset and Bilateral Leg Coordination during Human Gait
A Context Aware Lung Cancer Survival Prediction Network by Using Whole Slide Images
Learning Phrase Representations Based on Word and Character Embeddings
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach
Induction of the Common-Sense Hierarchies in Lexical Data
Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning
Sound-Based Ranging System in Greenhouse Environment with Multipath Effect Compensation Using Artificial Neural Network
Area-Part Composite Graph Guided Robot Manipulation Reasoning in 3C Assembly
Adaptive Feature Enhancement Network for Semantic Segmentation
T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection
Stress Classification for Gender Bias in Reading
Linear Hyperbolic Diffusion-Based Image Denoising Technique
Hierarchical Parallel PSO-SVM Based Subject-Independent Sleep Apnea Classification
Bottom-Up Transformer Reasoning Network for Text-Image Retrieval
LoRa Indoor Localization Based on Improved Neural Network for Firefighting Robot
A Hybrid Algorithm to Infer Genetic Networks
An Infinite Mixture of Inverted Dirichlet Distributions
Generalization Ability of Universal Learning Network by Optimizing Network Size and Time Delay
Training the Hopfield Neural Network for Classification Using a STDP-Like Rule
Pathway-Based Multi-class Classification of Lung Cancer
WC2FEst-Net: Wavelet-Based Coarse-to-Fine Head Pose Estimation from a Single Image
Asymmetry in Deviation of Rapid-Targeting Eye Movement under the Sensation of Visually Induced Illusory Self-Motion
Neural Information Processing - 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part III
An Improved Visual-Tactile P300 Brain Computer Interface
Learning Pre-grasp Pushing Manipulation of Wide and Flat Objects Using Binary Masks
Evaluation Patterns of Japanese Representative Athletes in the 2008 Beijing Olympic Games: Visualization of Social Expectation and Satisfaction by Use of Self-Organizing Maps
Adaptive Multi-hop Neighbor Selection for Few-Shot Knowledge Graph Completion
Learning to Predict Where People Look with Tensor-Based Multi-view Learning
A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings
Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem
ExtTra: Short-Term Traffic Flow Prediction Based on Extremely Randomized Trees
Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention
Extraction of Dimension Reduced Features from Empirical Kernel Vector
Disturbance Attenuation for Systems Governed by Markov Decision Processes
Digital Dynamical Systems of Spike-Trains
APS: An Adaptive Policy Switching Framework to Improve the Generalization of Branching Policy
A Neural Network Model Based on BP Learning with Stochastic Resonance
Neural Population Coding of Stimulus Features
SATB-Nets: Training Deep Neural Networks with Segmented Asymmetric Ternary and Binary Weights
Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse
Web Documents Categorization Using Neural Networks
Neural Networks for Efficient Nonlinear Online Clustering
Condition-Invariant Physical Adversarial Attacks via Pixel-Wise Adversarial Learning
Robust Soft Semi-supervised Discriminant Projection for Feature Learning
MnRec: A News Recommendation Fusion Model Combining Multi-granularity Information
Privacy-Preserving K-Means Clustering Upon Negative Databases
Detection of Error-Prone Cases for Word Sense Disambiguation
Neural Information Processing - 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part II
Financial Prediction by Finite Mixture GARCH Model
Understanding Individual Play Sequences Using Growing Self Organizing Maps
Interpretation and Knowledge Discovery from the MLP Network that Performs Low Back Pain Classification
A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks
Non-segmented Document Clustering Using Self-Organizing Map and Frequent Max Substring Technique
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III
Parallel Ant Colony Optimizer Based on Adaptive Resonance Theory Maps
Toward Automated Electrode Selection in the Electronic Depth Control Strategy for Multi-unit Recordings
Fractional Backpropagation Algorithm - Convergence for the Fluent Shapes of the Neuron Transfer Function
Active Learning for Open-Set Annotation Using Contrastive Query Strategy
Disparity Estimation Using Convolutional Neural Networks with Multi-scale Correlation
Human-Like Intuitive Playing in Board Games
Towards Robustness to Fluctuated Perceptual Patterns by a Deterministic Predictive Coding Model in a Task of Imitative Synchronization with Human Movement Patterns
AMPCL: Adaptive Meta-path Selection and Contrastive Learning for miRNA-Disease Prediction
Relational Extensions of Learning Vector Quantization
Control Distributed Parameter Systems with Neural Network Based on Orthogonality
Identification of Diffusion Coefficient in Nonhomogeneous Landscapes
Neuro-controllers Using Competitive Associative Nets Requiring Neither Parameterization of Plants Nor Special Training
Brain-Inspired e-Learning System Using EEG
Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers
Evaluation of Deep Models for Real-Time Small Object Detection
Three-Dimensional Vibrations Control Design for a Single Point Mooring Line System with Input Saturation
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network
A Multi-objective Evolutionary Algorithm for Multi-UAV Cooperative Reconnaissance Problem
Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets
Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition
Object Pose Estimation by Locally Linearly Embedded Regression
Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus
Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification
Tree Factored Conditional Restricted Boltzmann Machines for Mixed Motion Style
Vietnamese POS Tagging for Social Media Text
Explicit Center Selection and Training for Fault Tolerant RBF Networks
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II
Improving Student Forum Responsiveness: Detecting Duplicate Questions in Educational Forums
Automatic Partitioning for Multi-Agent Reinforcement Learning
Synaptic Cooperation and Competition in STDP Learning Rule
Bilinear Formulated Multiple Kernel Learning for Multi-class Classification Problem
Partially Enhanced Competitive Learning
Hopfield-Type Associative Memory with Sparse Modular Networks
Learning Sparse Representations Using a Parametric Cauchy Density
Self-Organising Neural Networks: Their Application to "Real-World" Problems
Adaptively Incremental Self-organizing Isometric Embedding
Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation
Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea
Detecting Anomaly Features in Facial Expression Recognition
A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization
A Consideration of Perceptual-Motor Coordination with Active and Passive Movements
Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer
Quantum Autoencoder Frameworks for Network Anomaly Detection
Sparse Graphic Attention LSTM for EEG Emotion Recognition
A Novel Split-and-Merge Technique for Error-Bounded Polygonal Approximation
More Efficient and Locally Enhanced Transformer
Contextual Bandit for Active Learning: Active Thompson Sampling
LSReGen: Large-Scale Regional Generator via Backward Guidance Framework
Constrained ICA Based Ballistocardiogram and Electro-Oculogram Artifacts Removal from Visual Evoked Potential EEG Signals Measured Inside MRI
Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World
The Effect of Stemming and Stop-Word-Removal on Automatic Text Classification in Turkish Language
Visualization Tools for Firing Correlation Based on the Joint-PSTH
Composite Color Invariant Feature H′ Applied to Image Matching
Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction
Controller Design Method of Gene Networks by Network Learning and Its Performance Evaluation
TFTN: A Time-Frequency Integrated Transformer Network with Multi-scale Feature Extraction for Time Series Classification
An Estimation of Cell Forces with Hierarchical Bayes Approach Considering Cell Morphology
Analysis of Packet Traffics and Detection of Abnormal Traffics Using Pareto Learning Self Organizing Maps
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes
A Generative Face Completion Method Based on Associative Memory
Evolving Pictures in Image Transition Space
Permutation Elementary Cellular Automata: Analysis and Application of Simple Examples
Towards Hardware-Friendly and Robust Facial Landmark Detection Method
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VIII
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases
Attention Estimation for Input Switch in Scalable Multi-display Environments
Enabling Imagination: Generative Adversarial Network-Based Object Finding in Robotic Tasks
A Retino-Morphic Hardware System Simulating the Graded and Action Potentials in Retinal Neuronal Layers
Three Dimensional Surface Temperature Measurement System
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
Implicit Neural Network for Implicit Data Regression Problems
A Portable System of Visual Fatigue Evaluation for Stereoscopic Display
Distance Metrics for Time-Series Data with Concentric Multi-Sphere Self Organizing Maps
Exponential Stability of Neural Networks with Distributed Time Delays and Strongly Nonlinear Activation Functions
Blind Signal Separation with a Flexible Non-Linearity
A Graph Community and Bag of Categorized Visual Words Based Image Retrieval
Neural Network Closed-Loop Control Using Sliding Mode Feedback-Error-Learning
Top-Down Biasing and Modulation for Object-Based Visual Attention
A Feature Selection Approach to Visual Domain Adaptation in Classification
A Complex Network-Based Anytime Data Stream Clustering Algorithm
Modeling of Cortical Signals Using Optimized Echo State Networks with Leaky Integrator Neurons
AA-RPN: Adaptive Anchor-Based Region Proposal Network for Remote Sensing Object Detection
Q Value-Based Dynamic Programming with Boltzmann Distribution by Using Neural Network
A Theory of the Cerebral Cortex
Correlated Inhibitory Firing and Spike-Timing-Dependent Plasticity
Towards Private and Fair Machine Learning: Group-Specific Differentially Private Stochastic Gradient Descent with Threshold Optimization
Computational Efficacy of GPGPU-Accelerated Simulation for Various Neuron Models
Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources
Cognitive Process of Emotion Under Uncertainty
Semi-supervised Learning with Conditional GANs for Blind Generated Image Quality Assessment
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise
Decoding Action Observation Using Complex Brain Networks from Simultaneously Recorded EEG-fNIRS Signals
Intelligent Trajectory Tracking Control of Unmanned Parafoil System Based on SAC Optimized LADRC
Potential and Sampling Based RRT Star for Real-Time Dynamic Motion Planning Accounting for Momentum in Cost Function
Validation Based Sparse Gaussian Processes for Ordinal Regression
PyraBiNet: A Hybrid Semantic Segmentation Network Combining PVT and BiSeNet for Deformable Objects in Indoor Environments
Signal Separation Method Using Independent Component Analysis
PLS Mixture Model for Online Dimension Reduction
Semantics of Dichotomous Probabilistic Databases
Traffic Data Recovery and Outlier Detection Based on Non-negative Matrix Factorization and Truncated-Quadratic Loss Function
Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants
Investigation of Chronic Stress Differences between Groups Exposed to Three Stressors and Normal Controls by Analyzing EEG Recordings
Analysis of Key Face Parts to Detect Emotional Expression Using a Neural Network Model
Optimality of Kernel Density Estimation of Prior Distribution in Bayes Network
Spatial Attention in Early Vision Alternates Direction-of-Figure
A Bi-directional Optimization Network for De-obscured 3D High-Fidelity Face Reconstruction
Compositional Committees of Tiny Networks
Early-Vision-Inspired Method to Distinguish between Handwritten and Machine-Printed Character Images Using Hough Transform
Robot Arm Control Using Reward-Modulated Hebbian Learning
POI Recommendation Based on Double-Level Spatio-Temporal Relationship in Locations and Categories
Emotion Prediction from User-Generated Videos by Emotion Wheel Guided Deep Learning
Virtual Command Allocation: Enhancing Hexapod Robot Locomotion Through Goal-Conditioned Reinforcement Learning
Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection
Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field for Image Segmentation
Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks
A New Blind Image Quality Assessment Based on Pairwise
Synchronization in Networks of Nonidentical Discrete-Time Systems with Directed Graphs
Epileptogenic ECoG Monitoring and Brain Stimulation Using a Multifunctional Microprobe for Minimally Invasive Brain Microsurgery
Contrastive Hierarchical Gating Networks for Rating Prediction
Solving Multiprocessor Real-Time System Scheduling with Enhanced Competitive Scheme
An Incremental Class Boundary Preserving Hypersphere Classifier
A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements
Incremental Face Recognition: Hybrid Approach Using Short-Term Memory and Long-Term Memory
Inpainting with Sketch Reconstruction and Comprehensive Feature Selection
Make Spoken Document Readable: Leveraging Graph Attention Networks for Chinese Document-Level Spoken-to-Written Simplification
Deep Belief Networks for Financial Prediction
Evaluation of Comprehensive Learning Particle Swarm Optimizer
Weighting Based Approach for Semi-supervised Feature Selection
Decouple Adversarial Capacities with Dual-Reservoir Network
Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects
Sleep Stage Prediction Using Respiration and Body-Movement Based on Probabilistic Classifier
Improving Deep Crowd Density Estimation via Pre-classification of Density
Direct Robust Adaptive NN Tracking Control for Double Inverted Pendulums
Gender Classification by Combining Facial and Hair Information
Application of the Dynamic Binary Neural Network to Switching Circuits
A General-Purpose Model Translation System for a Universal Neural Chip
Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial Cortexes
Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach
On the Importance of Regularisation and Auxiliary Information in OOD Detection
EnsembleRegNet: A Multi-ROIs Ensemble Network for Classification of Parkinson's Disease Using MRI Data
End-to-end Saliency-Guided Deep Image Retrieval
MFCA: Multimodal Object Detection Based on Feature Calibration and Aggregation
A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Features
Depth-Estimation and the Construction of the Cyclopean View
Multi-scale Spatial Feature Aggregation For Efficient Super Resolution
Generalised Support Vector Machine for Brain-Computer Interface
DedustNet:A Large-Scale Benchmark and Baseline for Sand Dust Video Enhancement
A Neuropsychologically-Inspired Computational Approach to the Generalization of Cerebellar Learning
A Design Method of an MLP Minimizing the Quantization Effect of the Weights and the Neuron Outputs
Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part III
Paragraph-Level Hierarchical Neural Machine Translation
Debiasing Medication Recommendation with Counterfactual Analysis
Scalable Data Clustering: A Sammon's Projection Based Technique for Merging GSOMs
Activity and Flight Trajectory Monitoring of Mosquito Colonies for Automated Behaviour Analysis
Intra-Modality Feature Interaction Using Self-attention for Visual Question Answering
A Computational Model That Enables Global Amodal Completion Based on V4 Neurons
Anti-interference Zeroing Neural Network Model for Time-Varying Tensor Square Root Finding
Evaluation of Prediction Capability of Non-recursion Type 2nd-order Volterra Neuron Network for Electrocardiogram
A Hybrid Cancer Prognosis System Based on Semi-Supervised Learning and Decision Trees
Nearest Neighbor Classifier with Margin Penalty for Active Learning
CA Based Document Compression Technology
Gradient Learning in Networks of Smoothly Spiking Neurons
Non-contact Respiratory Flow Extraction from Infrared Images Using Balanced Data Classification
Paper Recommendation with Multi-view Knowledge-Aware Attentive Network
A Novel Method for Progressive Multiple Sequence Alignment Based on Lempel-Ziv
Adaptive Learning in Incremental Learning RBF Networks
Cancellable Iris Recognition Scheme Based on Inversion Fusion and Local Ranking
Enhancing Prompt Tuning with Multitask Embedding Reparameterization
To Augment or Not to Augment? Data Augmentation in User Identification Based on Motion Sensors
An Altered Kernel Transformation for Time Series Classification
The Effect of Chaotic Stimulation to Induce Long-Term Potentiation in The Hippocampal CA1 Area
HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction
Analysis of Texture Representation in Convolution Neural Network Using Wavelet Based Joint Statistics
Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction
Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection
Psychophysiological Evaluation of Task Complexity and Cognitive Performance in a Human Computer Interface Experiment
Spectral Domain Noise Suppression in Dual-Sensor Hyperspectral Imagery Using Gaussian Processes
Learning and Recollection of Human Faces by Association Cortex to Entorhinal-Hippocampal Neural Network Model
Educational and Non-educational Text Classification Based on Deep Gaussian Processes
Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis
MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions
Sign Language Recognition for Low Resource Languages Using Few Shot Learning
ISSD-NET: Intra-student Self-distillation with Adaptive q-vMF Loss for Enhanced Semi-supervised Medical Segmentation
A Reinforcement Learning-Based Controller Designed for Intersection Signal Suffering from Information Attack
Detecting Online Fake Reviews via Hierarchical Neural Networks and Multivariate Features
Building the Interface: A Comparison of Three Approaches to Early Interface Development
MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection
Adaptive Neuromechanical Control for Robust Behaviors of Bio-Inspired Walking Robots
Nearest Neighbor with Multi-feature Metric for Image Annotation
Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm
Three-Way Nonparametric Bayesian Clustering for Handwritten Digit Image Classification
Dynamic Phasor Modeling of a Hybrid AC/DC Microgrid
Multi-Island Competitive Cooperative Coevolution for Real Parameter Global Optimization
Stock Price Prediction with Attention-Based Framework by Integrating LLM-Generated Features
Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers
Path Planning with Slime Molds: A Biology-Inspired Approach
Two-Stage Multilayer Perceptron Hawkes Process
TiedGAN: Multi-domain Image Transformation Networks
Diverse Evolutionary Neural Networks Based on Information Theory
QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment
Generative Adversarial Domain Generalization via Cross-Task Feature Attention Learning for Prostate Segmentation
A Fuzzy Approach to Fault-Tree Construction
An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-Ray CT Image Reconstruction
Addressing Capture Bias in Tomato Disease Classification with Deep Transfer Learning
Unsupervised Semantic Mask-Guided Image Animation with Fused Cross-Attention
Bottom-Up Visual Saliency Using Binary Spectrum of Walsh-Hadamard Transform
Designing Multiplier-Less JPEG Luminance Quantisation Matrix
Machine Learning Techniques for Classification of Livestock Behavior
Dynamically Connected Graph Representation for Object Detection
A Hybrid Method to Improve the Reduction of Ballistocardiogram Artifact from EEG Data