yusuke1997/dblp-id-title huggingface dataset:
Data Driven System Identification Using Evolutionary Algorithms
Approximately Similarity Measurement of Web Sites
A Modified Joint Geometrical and Statistical Alignment Approach for Low-Resolution Face Recognition
Defend from Scratch: A Diffusion-Based Proactive Defense Method for Unauthorized Speech Synthesis
Efficient Domain Action Classification Using Neural Networks
Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation
An Effective Martin Kernel for Time Series Classification
Generating Adversarial Examples by Distributed Upsampling
Induced Exploration on Policy Gradients by Increasing Actor Entropy Using Advantage Target Regions
Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics
Adaptive State Space Formation in Reinforcement Learning
Interactive Clothes Design Support System
Machine Unlearning with Affine Hyperplane Shifting and Maintaining for Image Classification
Ensemble Joint Approximate Diagonalization by an Information Theoretic Approach
Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
Explaining Neural Network Results by Sensitivity Analysis for Deception Detection
Can Random Generation Measure the Human Brain?
Seq-LSTM-Conv: Multi-Sequence Aggregated Forecasting Using LSTM and Convolutional Neural Networks
Natural Conjugate Gradient in Variational Inference
A Method to Deal with Prospective Risks at Home in Robotic Observations by Using a Brain-Inspired Model
Improvement of Image Modeling with Affinity Propagation Algorithm for Semantic Image Annotation
Geometric Mean Metric Learning for Label Distribution Learning
T-GET3D: A Generative Model of High-Quality 3D Textured Shapes Guided by Texts
FedSpam: Privacy Preserving SMS Spam Prediction
An Effectiveness of Model-Based Development with User Model in Consideration of Human
A Hybrid Model for Symbolic Interval Time Series Forecasting
Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons
Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets
PANNS - A Parallelized Artificial Neural Network Simulator
A New ART-LMS Neural Network for the Image Restoration
Active Learning with Weak Supervision for Gaussian Processes
Segment Anything Model for Semi-supervised Medical Image Segmentation via Selecting Reliable Pseudo-labels
Policy Gradient Learning of Cooperative Interaction with a Robot Using User's Biological Signals
Generalization in Learning Multiple Temporal Patterns Using RNNPB
Vision Based Mobile Robot for Indoor Environmental Security
Heterogeneous Graph Representation for Knowledge Tracing
Importance Resides in Activations: Fast Input-Based Nonlinearity Pruning
Stress Recognition with EEG Signals Using Explainable Neural Networks and a Genetic Algorithm for Feature Selection
GoatPose: A Lightweight and Efficient Network with Attention Mechanism
Learning, Storing, and Disentangling Correlated Patterns in Neural Networks
A Malware Collection and Analysis Framework Based on Darknet Traffic
WD3-MPER: A Method to Alleviate Approximation Bias in Actor-Critic
New Neuron Model for Blind Source Separation
Improving Mongolian-Chinese Machine Translation with Automatic Post-editing
Multi-document Summarization Based on Sentence Clustering
Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks
On-line Algorithm for Extraction of Specific Signals with Temporal Structure
Effect of Parameter Tuning at Distinguishing Between Real and Posed Smiles from Observers' Physiological Features
Visualization Method of Viewpoints Latent in a Dataset
Deep Vision System for Clinical Gait Analysis in and Out of Hospital
Key Factors of Email Subject Generation
HumanBoost: Utilization of Users' Past Trust Decision for Identifying Fraudulent Websites
Low-Shot Multi-label Incremental Learning for Thoracic Diseases Diagnosis
CPG: Channel Pruning with DFS Guided Grouping for Efficient Medical Image Segmentation
A Mathematical Investigation for Oligosaccharide Analysis Using Neural Network for Better Diagnosis
Introducing Reordering Algorithms to Classic Well-Known Ensembles to Improve Their Performance
LBRFL: Lightweight Privacy-Preserving Federated Learning with Byzantine-Robustness
MelMAE-VC: Extending Masked Autoencoders to Voice Conversion
Recognizing Facial Expressions of Occluded Faces Using Convolutional Neural Networks
Boxless Action Recognition in Still Images via Recurrent Visual Attention
Multi-stream with Deep Convolutional Neural Networks for Human Action Recognition in Videos
A Digital Hardware Architecture of Self-Organizing Relationship (SOR) Network
Towards Understanding Spoken Tunisian Dialect
Estimation of Driving Phase by Modeling Brake Pressure Signals
Online Training of an Opto-Electronic Reservoir Computer
A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma
Feature and Signal Enhancement for Robust Speaker Identification of G.729 Decoded Speech
Rethinking Binary Hyperparameters for Deep Transfer Learning
Modelling the Interplay of Emotions, Beliefs and Intentions within Collective Decision Making Based on Insights from Social Neuroscience
A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks
Proposal of Carrier-Wave Reservoir Computing
A PD Controller of Flexible Joint Manipulator Based on Neuro-Adaptive Observer
Towards Sentic-Aware Multimodal Models for Cyberbullying Detection in Thai Memes
Regularized Multiset Neighborhood Correlation Analysis for Semi-paired Multiview Learning
On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration
Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model
Modularity Maximization for Community Detection Using Genetic Algorithm
Event-Related Desynchronisation/Synchronisation of Spontaneous Motor Actions
Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization
MLLM-Driven Semantic Enhancement and Alignment for Text-Based Person Search
Myoelectric Control System of Lower Limb Exoskeleton for Re-training Motion Deficiencies
Apparent Volitional Behavior Selection Based on Memory Predictions
The Inhibition beyond the Receptive Field of Visual Cortical Neuron
Automatically Generating Storylines from Microblogging Platforms
Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms
Color Image Segmentation Based on Regional Saliency
The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm
Consensus Clustering Using Spectral Theory
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I
Learning Feature Weights for Similarity Measures
Dual-Level Contrastive Learning Framework
Real-Time Optical Imaging Provides "Dynamic Map of Brain Activity"
Drinking Water Demand Using an Hourly Timestep
New Intelligent Interactive Automated Systems for Design of Machine Elements and Assemblies
Recent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm
Identification of Different Sets of Biomarkers for Diagnostic Classification of Cancers
CDIG: Customizable Dual Interaction Graph Module for News Recommendation
Time Variant Causality Model Applied in Brain Connectivity Network Based on Event Related Potential
AudioFormer: Channel Audio Encoder Based on Multi-granularity Features
Training RBF Neural Network Via Quantum-Behaved Particle Swarm Optimization
Feed-Forward Optimization With Delayed Feedback for Neural Network Training
A Two Stage Approach for High School Timetabling
Non-negative Spectral Learning for Linear Sequential Systems
Residual Spatial Attention Network for Retinal Vessel Segmentation
Risk-Aware Recommender Systems
Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification
Hierarchical Text Classification Incremental Learning
Automated Book Drawing for Audiobook Production: A Benchmark and Comparative Study from Heuristics to LLMs
A Lightweight Multi-scale Feature Fusion Network for Real-Time Semantic Segmentation
An Intelligent Network Routing Algorithm by a Genetic Algorithm
LFMAC: Low-Frequency Multi-Agent Communication
Sampling-Based Gradient Regularization for Capturing Long-Term Dependencies in Recurrent Neural Networks
Image Reconstruction Using Genetic Algorithm in Electrical Impedance Tomography
Scene Text Reconstructor: A Contextual-Aware Masking Framework for Pre-training Text Detectors
Optical Imaging of Plastic Changes Induced by Fear Conditioning in the Auditory Cortex of Guinea Pig
MRCE: A Multi-Representation Collaborative Enhancement Model for Aspect-Opinion Pair Extraction
A New Version of the Dendritic Cell Immune Algorithm Based on the K-Nearest Neighbors
Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition
MIRU: A Novel Memory Interaction Recurrent Unit
Know-GNN: An Explainable Knowledge-Guided Graph Neural Network for Fraud Detection
HPointLoc: Point-Based Indoor Place Recognition Using Synthetic RGB-D Images
Accurate Latency Prediction of Deep Learning Model Inference Under Dynamic Runtime Resource
A Multi-cascaded Deep Model for Bilingual SMS Classification
Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization
Linear Periodic Discriminant Analysis of Multidimensional Signals
CMGH:Label Co-occurrence-Enhanced Contrastive Multi-granularity Hashing Cross-Modal Retrieval
MatchMaker: Aspect-Based Sentiment Classification via Mutual Information
Sample Filtering Relief Algorithm: Robust Algorithm for Feature Selection
Hybrid Learning Algorithm for Curvature Smoothing
The Performance of the Stochastic DNN-kWTA Network
A Modified Soft-Shape-Context ICP Registration System of 3-D Point Data
Modular Network SOM: Theory, Algorithm and Applications
A Comparison of Facial Features and Fusion Methods for Emotion Recognition
Style-Aware Music-to-Dance Generation via Multi-Stage Unit Decomposition and Recombination
An Analysis of Synaptic Transmission and its Plasticity by Glutamate Receptor Channel Kinetics Models and 2-Photon Laser Photolysis
Future Perspective of 'Creating Brain' Program
Improving SLDS Performance Using Explicit Duration Variables with Infinite Support
Learning Spatiotemporal and Geometric Features with ISA for Video-Based Facial Expression Recognition
A Genetic-Inspired Multicast Routing Optimization Algorithm with Bandwidth and End-to-End Delay Constraints
Incrementally Built Dictionary Learning for Sparse Representation
How Legal Knowledge Graph Can Help Predict Charges for Legal Text
FTR-NAS: Fault-Tolerant Recurrent Neural Architecture Search
Data-Driven Nonlinear Adaptive Optimal Control of Connected Vehicles
Modelling Temporal Aspects of Situation Awareness
Medical Image Thresholding Using Online Trained Neural Networks
Implicit Camera Calibration by Using Resilient Neural Networks
Heterogeneous Dyadic Multi-task Learning with Implicit Feedback
PUD: Social Spammer Detection Based on PU Learning
Remote Sensing Image Segmentation by Combining Feature Enhanced with Fully Convolutional Network
An LSTM Based Deep Learning Method for Airline Ticket Price Prediction
Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting
Knowledge Agency and Knowledge Networks
Neural Network Model of Forward Shift of CA1 Place Fields Towards Reward Location
ConvCaps: Multi-input Capsule Network for Brain Tumor Classification
Dynamic Surface Sliding Mode Algorithm Based on Approximation for Three-Dimensional Trajectory Tracking Control of an AUV
Image Super-Resolution with Fast Approximate Convolutional Sparse Coding
Local-Global Semantic Fusion Single-shot Classification Method
Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization
An Efficient Manifold Density Estimator for All Recommendation Systems
Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization
Sequence Variability and Long-Range Dependence in DNA: An Information Theoretic Perspective
Tongue Coating Classification Based on Multiple-Instance Learning and Deep Features
An Ensemble Method with Plans-Managed Policy for Proximal Policy Optimization
ICA for Separation of Respiratory Motion and Heart Motion from Chest Surface Motion
Recognition of Voluntary Blink and Bite Base on Single Forehead EMG
Imbalanced Equilibrium: Emergence of Social Asymmetric Coordinated Behavior in Multi-agent Games
Obtaining Single Document Summaries Using Latent Dirichlet Allocation
Optimism in Active Learning with Gaussian Processes
Local Sparse Representation Based Interest Point Matching for Person Re-identification
Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System
Denoising by Anisotropic Diffusion of Independent Component Coefficients
Control of an Inverted Pendulum Using the NeuraBase Network Model
Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets
Fusion of Multi-view Multi-exposure Images with Delaunay Triangulation
Prediction of Refactoring-Prone Classes Using Ensemble Learning
Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition
Using Evolutionary Algorithms for Hyperparameter Tuning and Network Reduction Techniques to Classify Core Porosity Classes Based on Petrographical Descriptions
iGAPK: Improved GAPK Algorithm for Regulatory DNA Motif Discovery
Fuzzy Deep Neural Network for Classification of Overlapped Data
Cross-Layer Convolutional Siamese Network for Visual Tracking
A Defense Method Based on Natural Scene Statistics and Autoencoders to Enhance the Robustness of Darknet Traffic Classifiers
Human-Guided Transfer Learning for Autonomous Robot
Agglomeration Detection in Gas-Phase Ethylene Polymerization Based on Multi-scale Convolutional Neural Network
Attention Based Shared Representation for Multi-task Stance Detection and Sentiment Analysis
Using Biologically-Inspired Visual Features To Model The Restorative Potential Of Scenes
A Feedback PCA Network with Powered Correlation Memory
Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction
Saliency Detection Framework Based on Deep Enhanced Attention Network
Fast Affine Invariant Shape Matching from 3D Images Based on the Distance Association Map and the Genetic Algorithm
LPI-Net: Lightweight Inpainting Network with Pyramidal Hierarchy
CARU: A Content-Adaptive Recurrent Unit for the Transition of Hidden State in NLP
Deep Contrastive Multi-view Subspace Clustering
Color Gamut Mapping Based on Mutual Color Conversion by Neural Networks
Investigating Gender Differences of Brain Areas in Emotion Recognition Using LSTM Neural Network
A Cooperative Coevolutionary Algorithm for the Composite SaaS Placement Problem in the Cloud
Multi-sensor Fusion for Localization and Mapping in Complex Environments
Word Embedding Based on Low-Rank Doubly Stochastic Matrix Decomposition
Understanding Deep Neural Network by Filter Sensitive Area Generation Network
Image Feature Extraction and Similarity Evaluation Using Kernels for Higher-Order Local Autocorrelation
Face Hallucination and Recognition Using Kernel Canonical Correlation Analysis
EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields
Multi-label Linear Discriminant Analysis with Locality Consistency
Efficient Collaboration via Interaction Information in Multi-agent System
DPSO Based on Random Particle Priority Value and Decomposition Procedure as a Searching Strategy for the Evacuation Vehicle Routing Problem
Convolutional Gated Recurrent Units Fusion for Video Action Recognition
DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method Based on Graph Attention Networks
Semi-Naïve Bayesian Method for Network Intrusion Detection System
Feature Extraction via Balanced Average Neighborhood Margin Maximization
A Morphological Associative Memory Employing a Reverse Recall
Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification
Separable Recursive Training Algorithms with Switching Module
TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis
Construction of Algebra of Fuzzy Numbers by Optical Holography
Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization
Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering
Using Generalization Error Bounds to Train the Set Covering Machine
Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space
Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity
Revdbscan and Flexscan - O(nlog n) Clustering Algorithms
High-Order Markov Kernels for Network Intrusion Detection
Opinion Based Search Ranking
Generating Self-organized Saliency Map Based on Color and Motion
Obstacle Categorization Based on Hybridizing Global and Local Features
Conformal Adversarial Generative Ensemble
A Universal Visual Dictionary Learned from Natural Scenes for Recognition
A Weight Averaging Neural Network for Semi-supervised Data Stream Learning
A Proof of Convergence of Asynchronous Boltzmann Machine
Fuzzy ARTMAP with Explicit and Implicit Weights
General Adaptive Transfer Functions Design for Volume Rendering by Using Neural Networks
Towards Applying Associative Classifier for Genetic Variants
Linear Dimensionality Reduction for Time Series
Fuzzy Time Series Prediction Method Based on Fuzzy Recurrent Neural Network
A Local Area where Polysynaptic LTP is Induced in Longitudinal Rat Hippocampal CA3 Slices is Highly Responsive to Weak Stimulation
A Multi-class Object Classifier Using Boosted Gaussian Mixture Model
Deep Learning Model for Sentiment Analysis in Multi-lingual Corpus
Evolvable Hardware - A Short Introduction
Robust ICA Neural Network and Application on Synthetic Aperture Radar (SAR) Image Analysis
RTS: A Regional Time Series Framework for Brain Disease Classification
Intrusion Detection Using Convolutional Neural Networks for Representation Learning
Semi Supervised Autoencoders: Better Focusing Model Capacity during Feature Extraction
Siamese Network Based Feature Learning for Improved Intrusion Detection
Policy Learning for Motor Skills
Improving RBF Networks by a Two-Step Feature Selection Approach
A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification
Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level
Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels
SphereCF: Sphere Embedding for Collaborative Filtering
Active Contour with Neural Networks-Based Information Fusion Kernel
Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning
Glomerulus Detection on Light Microscopic Images of Renal Pathology with the Faster R-CNN
Acquisition of Product Purchasing Behavior by Robots Based on Problem Decomposition and Parallel Reinforcement Learning
Population-Based Automatic Programming - Part 2: Performance on Some Example Problems
fNIRS Approach to Pain Assessment for Non-verbal Patients
Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks
A Quantum-Inspired Evolutionary Algorithm for Optimization Numerical Problems
Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part II
Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer
Bayesian Variable Selection in Neural Networks for Short-Term Meteorological Prediction
Accelerating Deep Q Network by Weighting Experiences
ANFIS-Based Model for Improved Paraphrase Rating Prediction
Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator
Occlusion-Robust Face Recognition Using Iterative Stacked Denoising Autoencoder
A One-Layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints
Transformer-DW: A Transformer Network with Dynamic and Weighted Head
Hierarchical Attribute-Based Encryption Scheme Supporting Computing Outsourcing and Time-Limited Access in Edge Computing
A Continuous LTP and LTD Model
Dual-Domain Learning for JPEG Artifacts Removal
A Neural Learning Rule for CCA Approximation
Perception of Visual Flow Composed of Texture of Different Attributes and its Neural Representation
A Supervised Learning Algorithm for Learning Precise Timing of Multispike in Multilayer Spiking Neural Networks
Motif Iteration Model for Network Representation
Oscillator Networks for Image Segmentation and Their Circuits Using Pulse Modulation Method
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology
Event-Aware Document-Level Event Extraction via Multi-granularity Event Encoder
Personalized Modeling Based Gene Selection for Microarray Data Analysis
ResWCAE: Biometric Pattern Image Denoising Using Residual Wavelet-Conditioned Autoencoder
Enforcing Individual Fairness via Rényi Variational Inference
Designing Serious Games for Adult Students with Cognitive Disabilities
Image Generation with the Enhanced Latent Code and Sub-pixel Sampling
Relative Association Rules Based on Rough Set Theory
Behavior Analysis of Long-term Cyber Attacks in the Darknet
Spatial-Temporal Graph Transformer for Skeleton-Based Sign Language Recognition
Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances
Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention
Word-Level Error Correction in Non-autoregressive Neural Machine Translation
Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score
Are You a Social Conformer?
Bio-Inspired Hybrid Framework for Multi-view Face Detection
A SSA-Based Attention-BiLSTM Model for COVID-19 Prediction
Deep Learning Models with Time Delay Embedding for EEG-Based Attentive State Classification
The Analysis and Classify of Sleep Stage Using Deep Learning Network from Single-Channel EEG Signal
Multi-stage Gradient Compression: Overcoming the Communication Bottleneck in Distributed Deep Learning
Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition
A Restriction Training Recipe for Speech Separation on Sparsely Mixed Speech
Orthogonal Frequency-Spatial Gradient Fusion Attack for Boosting Adversarial Transferability
Wirtinger Calculus Based Gradient Descent and Levenberg-Marquardt Learning Algorithms in Complex-Valued Neural Networks
Discrete Particle Swarm Optimization and EM Hybrid Approach for Naive Bayes Clustering
Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios
A Token-Wise CNN-Based Method for Sentence Compression
Stochastic Resonance Imaging - Stochastic Resonance Therapy: Preliminary Studies Considering Brain as Stochastic Processor
Automatic Image Annotation Exploiting Textual and Visual Saliency
Analysis, Classification and Marker Discovery of Gene Expression Data with Evolving Spiking Neural Networks
Grouped Echo State Network with Late Fusion for Speech Emotion Recognition
FIA: Frequent Itemsets Mining Based on Approximate Counting in Data Streams
Online Vigilance Analysis Combining Video and Electrooculography Features
Link Prediction Based on the Sub-graphs Learning with Fused Features
Large Scale Image Classification Based on CNN and Parallel SVM
Deep Reinforcement Learning: From Q-Learning to Deep Q-Learning
Progress in Unsupervised Neural Nets for Blind Communication De-Mixing
Ensembles of Randomized Neural Networks for Pattern-Based Time Series Forecasting
Interpolation and Extrapolation of Motion Patterns in the Proto-symbol Space
Policy Gradient Reinforcement Learning for I/O Reordering on Storage Servers