yusuke1997/dblp-id-title huggingface dataset:
A Cooperation Online Reinforcement Learning Approach in Ant-Q
Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network
Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features
A Study on the Feasibility of Using EEG Signals for Authentication Purpose
Detection of Driving Fatigue Based on Grip Force on Steering Wheel with Wavelet Transformation and Support Vector Machine
Data Discretization Using the Extreme Learning Machine Neural Network
Neuron-Synapse Level Problem Decomposition Method for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction
Stock Price Prediction Based on Hierarchical Structure of Financial Networks
Large-Scale Bandit Approaches for Recommender Systems
RepDynaMixer: Dynamic Kernel Fusion and Reparameterization for Lightweight Image Super-Resolution
Bayesian Modeling of Visual Attention
Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator
Performance Improvement via Bagging in Ensemble Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizon
Multi-objective Evolution for Deep Neural Network Architecture Search
A Partitioning Method for Fuzzy Probabilistic Predictors
Gradient Coupled Flow: Performance Boosting on Network Pruning by Utilizing Implicit Loss Decrease
Variable Selection for Multivariate Time Series Prediction with Neural Networks
Hierarchical Sentiment Estimation Model for Potential Topics of Individual Tweets
YOLO-D: Dual-Branch Infrared Distant Target Detection Based on Multi-level Weighted Feature Fusion
Design of an Unsupervised Weight Parameter Estimation Method in Ensemble Learning
Local Feature Learning Algorithm for High Speed Learning
Training Recurrent Connectionist Models on Symbolic Time Series
Multi-Grained Fusion Graph Neural Networks for Sequential Recommendation
Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering
A Review of Electroencephalogram-Based Analysis and Classification Frameworks for Dyslexia
Using Agent Based Modeling and Simulation for Data Mining
Novel Method for Radar Echo Target Detection
Population Coding of Song Element Sequence in the Songbird Brain Nucleus HVC
Automatic Firearm Detection in Images and Videos Using YOLO-Based Model
A Distributed kWTA for Decentralized Auctions
Auditory Images and a Computational Model
Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer
Dynamic Population Variation Genetic Programming with Kalman Operator for Power System Load Modeling
Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach
Possible Neural Correlates of Symmetry Perception
EEG Signal Analysis in 3D Modelling to Identify Correlations Between Task Completion in Design User's Cognitive Activities
A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification
An ELU Network with Total Variation for Image Denoising
Recurrence Quantification Analysis of EEG Predicts Responses to Incision During Anesthesia
Maximum Likelihood Weights for a Linear Ensemble of Regression Neural Networks
A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images
Spectrum Intensity Ratio and Thresholding Based SSVEP Detection
Boundary Iterative Learning Control of an Euler-Bernoulli Beam System
A New Hybrid Approach for Medical Image Intelligent Classifying Using Improved Wavelet Neural Network
TrajAngleNet: Transformer-Based Trajectory Prediction Through Multi-task Learning with Angle Prediction
Human Activity Inference Using Hierarchical Bayesian Network in Mobile Contexts
A Phased Evolutionary Approach for the Timetable Problem: An Initial Study
A Novel Road Traffic Sign Detection and Recognition Approach by Introducing CCM and LESH
Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction
Self-Organized Supervised Learning with Local Projection and Pattern Clustering
Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification
TSIV: A Two-Stage Approach for Identifying Encrypted Video Traffic in Unstable Network
Interpolating Vectors: Powerful Algorithm for Pattern Recognition
Recursive Constrained Maximum Versoria Criterion Algorithm for Adaptive Filtering
Electric Load Modelling with Neural Networks : An Insight into the Black Box
P2ExNet: Patch-Based Prototype Explanation Network
Computational Understanding and Modeling of Filling-In Process at the Blind Spot
Improving Recurrent Neural Network Performance Using Transfer Entropy
Application of Cuckoo Search for Design Optimization of Heat Exchangers
SNEOM: A Sanger Network Based Extended Over-Sampling Method. Application to Imbalanced Biomedical Datasets
Manifold Discriminative Transfer Learning for Unsupervised Domain Adaptation
Multi-task Gated Contextual Cross-Modal Attention Framework for Sentiment and Emotion Analysis
Data-Based Optimal Tracking Control of Nonaffine Nonlinear Discrete-Time Systems
Jointly Extractive and Abstractive Training Paradigm for Text Summarization
Driver Face Detection Based on Aggregate Channel Features and Deformable Part-Based Model in Traffic Camera
A Periodic Chaos Neural Network
Adaptive Dynamic Programming for Direct Current Servo Motor
Multi-strategy Evolutionary Computation for Automated Jigsaw Puzzles
ESTNet: Efficient Spatio-Temporal Network for Industrial Smoke Detection
Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer Perceptrons
Pattern Classification Using Multiple SOMs
Towards Online Handwriting Recognition System Based on Reinforcement Learning Theory
The Effect of Hippocampal Activity to Auditory Evoked Responses in Guinea Pig Revealed by Optical Imaging
Multistable Behaviour in Networks of Integrate-and-Fire Neurons
Binding Mechanism of Frequency-Specific ITD and IID Information in Sound Localization of Barn Owl
Handwritten Digit Recognition by Combining Structure-Adaptive Self-Organizing Maps
Comparison between Mixture of ARMA and Mixture of AR Model with Application to Time Series Forecasting
Fast and Incremental Neural Associative Memory Based Approach for Adaptive Open-Loop Structural Control in High-Rise Buildings
Self-Referential Event Lists for Self-Organizing Modular Reinforcement Learning
Preprocessing of Independent Vector Analysis Using Feed-Forward Network for Robust Speech Recognition
Neural Approach to Time Series Prediction with Noise Addition
Hierarchical Online Multi-person Pose Tracking with Multiple Cues
A New Algorithm for Vector Quantization Based on the Diversity of Learning Areas of Representative Vectors
A Regularized Linear Classifier for Effective Text Classification
Calibrating Independent Component Analysis with Laplacian Reference for Real-Time EEG Artifact Removal
Who is the Writer? Identifying the Generative Model by Writing Style
Decoding Syllables from Human fMRI Activity
Symbolized Particles Store Type Neuron Model and Its Application to Voiced Signals
A Multidimensional Interaction-Focused Model for Ad-Hoc Retrieval
Optimized Fuzzy Decision Tree Using Genetic Algorithm
Decomposing EEG Data into Space-Time-Frequency Components Using Parallel Factor Analysis and Its Relation with Cerebral Blood Flow
Prior Probability Weights, Neural Network Learning
Noninvasive Measurement of Human Brain Activity using Brain-Conductivity Probe
Analysis of a Correlation-Type Associative Memory with One-to-many Associations
The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part IX
Using Bagging and Cross-Validation to Improve Ensembles Based on Penalty Terms
Stable Fast Rewiring Depends on the Activation of Skeleton Voxels
Evolvable Viral Agent Modeling and Exploration
VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images
PSO-Based Hyper-Parameters Selection for LS-SVM Classifiers
A Study on Clustering Method by Self-Organizing Map and Information Criteria
A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm
Forecasting the Flow of Data Packets for Website Traffic Analysis - ASVR-Tuned ANFIS/NGARCH Approach
Dynamic Network Embedding by Time-Relaxed Temporal Random Walk
A Self Organizing Map Based Multi-objective Framework for Automatic Evolution of Clusters
A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns
Design of Modular Neural Network Architectures Using Genetic Algorithms
Label Selection Approach to Learning from Crowds
Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, ICONIP 1997, Volume II, Dunedin, New Zealand, 24-28 November, 1997
Variable-Depth Convolutional Neural Network for Text Classification
An Enhanced Mental Model Elicitation Technique to Improve Mental Model Accuracy
A Hybrid Fuzzy-Genetic Colour Classification System with Best Colour Space Selection under Dynamically-Changing Illumination
E-2DLDA: A New Matrix-Based Image Representation Method for Face Recognition
A Gradient-Based Algorithm to Deceive Deep Neural Networks
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part X
EMG Signal Based Knee Joint Angle Estimation of Flexion and Extension with Extreme Learning Machine (ELM) for Enhancement of Patient-Robotic Exoskeleton Interaction
Challenges of Facial Micro-Expression Detection and Recognition: A Survey
Combining the Global and Local Estimation Models for Predicting PM _10 10 Concentrations
t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom
Detecting Alzheimer's Disease by Exploiting Linguistic Information from Nepali Transcript
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Minimal Addition-Subtraction Chains with Ant Colony
On the Role of Working Memory in Trading-Off Skills and Situation Awareness in Sudoku
How Difficult Is It for Robots to Maintain Home Safety? - A Brain-Inspired Robotics Point of View
Oblique Random Forests on Residual Network Features
Discriminative Isolated Digit Recognition in Noisy Environments Using Multilayer Perceptron Networks
Randomized Algorithm in Embedded Crypto Module
News Thread Extraction Based on Topical N-Gram Model with a Background Distribution
Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain
Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models
PEBTrack: A Performance-Efficiency Balance Tracker for Aerial Scenario
FalconNet: Factorization for the Light-Weight ConvNets
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel Segmentation
An Approach to Pulse Coupled Neural Network Based Vein Recognition
SPBERT: an Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs
Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning
Proposal of Complex-Valued Convolutional Neural Networks for Similar Land-Shape Discovery in Interferometric Synthetic Aperture Radar
An Enhanced Semi-supervised Recommendation Model Based on Green's Function
SMART: A Robustness Evaluation Framework for Neural Networks
Fix-Budget and Recurrent Data Mining for Online Haptic Perception
Spiking Reinforcement Learning for Weakly-Supervised Anomaly Detection
GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis
A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains
Mean Field Approximation in Bayesian Variable Selection
Convolutional Neural Network with Spectrogram and Perceptual Features for Speech Emotion Recognition
Multi-view Stereo by Fusing Monocular and a Combination of Depth Representation Methods
Prompt-Based Learning for Aspect-Level Sentiment Classification
Hierarchical Nearest Neighbor Graphs for Building Perceptual Hierarchies
Automatic Inference of Cabinet Approval Ratings by Information-Theoretic Competitive Learning
A New Expansion of Cooperative Particle Swarm Optimization
PFMF-Net: Progressive Feedback Network with Multi-feature for Image Tampering Localization
Speeding Up SVM in Test Phase: Application to Radar HRRP ATR
Theoretical Analysis and Classification of Training Problem in Neural Networks
A High Accurate Vision Algorithm on Measuring Arbitrary Contour
A Novel Online Ensemble Convolutional Neural Networks for Streaming Data
TFCM: Tuning-Free Facial Concept-Erasure in Text-to-Image Models Through Attention and Sample Modulation
Generalized Category Discovery with Clustering Assignment Consistency
Deep Learning Approaches for Link Prediction in Social Network Services
A Seasonal-Trend Dynamic Interactive Integration Network for Traffic Forecasting
Robust Detection of Anomalies via Sparse Methods
A Genetic Algorithm Approach to Optimization Problems in an Uncertain Environment
Dynamic Optical Topography and the Real-Time PDP Chip: An Analytical and Synthetical Approach to Higher-Order Brain Functions
CNN Based Transfer Learning for Scene Script Identification
Impact of Base Partitions on Multi-objective and Traditional Ensemble Clustering Algorithms
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning
Fine-Grained Scene-Graph-to-Image Model Based on SAGAN
Prediction of Ionospheric Perturbations Using Artificial Neural Network. Application to ISL Instrument Data- DEMETER Mission
Targets Detection Based on the Prejudging and Prediction Mechanism
SAPAG: Self-attention Parts Guidance with Latent Diffusion Models for Anomaly Detection in Microscopy Images
An Analysis of the Interaction Between Transfer Learning Protocols in Deep Neural Networks
Face Basis Selection for Human Face Representation and Identification
GPU Accelerated Spherical K-Means Training
An Information-Spectrum Approach to Analysis of Return Maximization in Reinforcement Learning
Information-Theoretic Competitive and Cooperative Learning for Self-Organizing Maps
Semantic Similarity Measures to Disambiguate Terms in Medical Text
Intelligent Multi-agent Based Genetic Fuzzy Ensemble Network Intrusion Detection
A Developer Recommendation Method Based on Disentangled Graph Convolutional Network
Adaptive Location for Multiple Salient Objects Detection
A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets
Label Distribution Learning Based on Ensemble Neural Networks
A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning
New Predefined-Time Stability Theorem and Applications to the Fuzzy Stochastic Memristive Neural Networks with Impulsive Effects
Towards Simulating Foggy and Hazy Images and Evaluating Their Authenticity
LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
A Novel Bi-environmental Intuitionistic Fuzzy C-Means Clustering Algorithm
Improving the Stability of a Convolutional Neural Network Time-Series Classifier Using SeLU and Tanh
Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning
A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development
Growing Greedy Search and Its Application to Hysteresis Neural Networks
Knowledge Extraction Based Multilayer Feedforward Neural Networks
Reflex Contributions to the Directional Tuning of Arm Stiffness
Bi-Lp-Norm Sparsity Pursuiting Regularization for Blind Motion Deblurring
An Explainable Error Detection Approach for Machine Learning
Training Lightweight yet Competent Network via Transferring Complementary Features
A Multilayered Scheme of Bidirectional Associative Memory for Multistable Perception
AUPro: Multi-label Facial Action Unit Proposal Generation for Sequence-Level Analysis
Effects of Orientation and Spatial Frequency on Monocular and Binocular Rivalry
A Hybrid Model Based on the Rating Bias and Textual Bias for Recommender Systems
A Partheno-genetic Algorithm for Combinatorial Optimization
Solving the Online SLAM Problem with an Omnidirectional Vision System
Clustering Analysis for Bacillus Genus Using Fourier Transform and Self-Organizing Map
A Reinforcement Learning Approach for Abductive Natural Language Generation
Improved Kernel Density Estimation Self-organizing Incremental Neural Network to Perform Big Data Analysis
Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine
Measuring Self-monitoring Using Facebook Online Data Based on Snyder's Psychological Theories
Unified Mask Graph Modeling for Incomplete Tabular Learning
Free-Form Image Inpainting with Separable Gate Encoder-Decoder Network
Fuzzy Particle Swarm Optimization for Intrusion Detection
Real-Time Simulation of Phosphene Images Evoked by Electrical Stimulation of the Visual Cortex
Temporal State Prediction and Sequence Recovery for Multi-agent Reinforcement Learning
Research on Deep Learning-Based Intelligent Diagnosis Algorithms for OCT Medical Images of Macular Edema
Heterogeneous Dual Teacher-Student Mutual Learning with Shape Awareness for Semi-Supervised Medical Image Segmentation
Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units
Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations
Does Social Network Always Promote Entrepreneurial Intentions? Part I: Theoretical Model
Attention Network for Product Characteristics Prediction Based on Reviews
MPEG Video Traffic Modeling and Classification Using Fuzzy C-Means Algorithm with Divergence-Based Kernel
Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure
Robust Fast Online Multivariate Non-parametric Density Estimator
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game
The Rough Set-Based Algorithm for Two Steps
A Meta Learning-Based Training Algorithm for Robust Dialogue Generation
Data-Free Knowledge Distillation with Positive-Unlabeled Learning
The Application of Wavelet Neural Network Optimized by Particle Swarm in Localization of Acoustic Emission Source
Pattern Sequence Neural Network for Solar Power Forecasting
Meta-Adaptive Hilbert Framework for Continual Cross-Subject Neural Decoding in BCIs
Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors
Estimation of Missing Precipitation Records Using Modular Artificial Neural Networks
Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering
Asynchronous Value Iteration Network
Self-Organization of Feature Columns and its Application to Object Classification
Modeling the Respiratory Central Pattern Generator with Resonate-and-Fire Izhikevich-Neurons
PSO-Enabled Federated Learning for Detecting Ships in Supply Chain Management
Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I
Learning TSP Combinatorial Search and Optimization with Heuristic Search
Privacy-Preserving Naive Bayes Classification Using Fully Homomorphic Encryption
An Approach to Distance Estimation with Stereo Vision Using Address-Event-Representation
Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV
A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction
An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning
Neural Networks for Optimization Problem with Nonlinear Constraints
Text Categorization with Semantic Commonsense Knowledge: First Results
Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition
HMM Training Using Incremental Neural Network on Speech Recognition
Finding all Solutions of a Hysteresis Associative Memory
RoMA: A Method for Neural Network Robustness Measurement and Assessment
Brain Inspired Cognitive System for Learning and Memory
Diachronic Named Entity Disambiguation for Ancient Chinese Historical Records
Chaotic Behaviors of a Single Neuron Model for Signal Processing Elements
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks
Speed Up Spatial Pyramid Matching Using Sparse Coding with Affinity Propagation Algorithm
An Incremental Network with Local Experts Ensemble
Visual Cortex Inspired Junction Detection
Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map
Resonance Phenomena in the Response of Chaotic Neural Networks
Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data
Currency Options Volatility Forecasting with Shift-Invariant Wavelet Transform and Neural Networks
SpikeComp: An Evolving Spiking Neural Network with Adaptive Compact Structure for Pattern Classification
Multi-label Classification of Hyperspectral Images Based on Label-Specific Feature Fusion
Image Blending Algorithm with Automatic Mask Generation
Prediction Interval-Based Control of Nonlinear Systems Using Neural Networks
Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples
RE-CNN: A Robust Convolutional Neural Networks for Image Recognition
Knowledge Distillation Method for Surface Defect Detection
A Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms for Protein Structure Prediction Problem
Evolutionary Action Selection for Gradient-Based Policy Learning
New Neural Network Architectures Based on Fractional Fourier Transforms for Large-Scale Optical Implementations
Fuzzy Adaptive Particle Filter Algorithm for Mobile Robot Fault Diagnosis
A Hierarchical Algorithm for Classification and its Tuning by Genetic Algorithms
Frontal Cortex Neural Activities Shift Cognitive Resources Away from Facial Activities in Real-Time Problem Solving
Learning Team Cooperation
On the Model Selection for Linear Combination of Step-Type Basis Functions
Sharing ConvNet Across Heterogeneous Tasks
A Novel Muscle Coordination Method for Musculoskeletal Humanoid Systems and Its Application in Bionic Arm Control
Waveform Classification by Memristive Reservoir Computing
A Novel Image-Based Malware Classification Model Using Deep Learning
Emergence of Leadership in Evolving Robot Colony
Stock Price Prediction Based on a Network with Gaussian Kernel Functions
MonkeyDroid: Detecting Unreasonable Privacy Leakages of Android Applications
Parallel State Space Search for SAT with Lagrange Programming Neural Network
Learn to Swing Up and Balance a Real Pole Based on Raw Visual Input Data
Improved Robust Kalman Filtering for Uncertain Systems with Missing Measurements
MultiTune: Adaptive Integration of Multiple Fine-Tuning Models for Image Classification
Dynamic Neuro-Fuzzy Decision Making System
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
Cross-Modal Method Based on Self-Attention Neural Networks for Drug-Target Prediction
Identify Website Personality by Using Unsupervised Learning Based on Quantitative Website Elements
Event-Based Target Tracking Control for a Snake Robot Using a Dynamic Vision Sensor
Empowering Healthcare Time-Series Reasoning by Reinforcement Learning-Enhanced Large Language Models
Stable Deep Reinforcement Learning Method by Predicting Uncertainty in Rewards as a Subtask
An Information Theoretic Approach to Joint Approximate Diagonalization
A Recurrent Multimodal Network for Binding Written Words and Sensory-Based Semantics into Concepts
Selection of Histograms of Oriented Gradients Features for Pedestrian Detection
ONEI: Unveiling Route and Phase of Breathing from Snoring Sounds
Hybrid Online Non-negative Matrix Factorization for Clustering of Documents
Privacy-Preserving Federated Learning for Pneumonia Diagnosis