yusuke1997/dblp-id-title huggingface dataset:
Enhanced Temporal Graph Networks for Fraud Detection in Transactional Blockchain Networks
Particle Propagation for Semantic Path Planning in Continuous Space
Comparison of feature ranking methods based on information entropy
Correlated Equilibrium based Online Real-time Distributed Dynamic Task Scheduler for Multi-agent Systems
A constructive and hierarchical self-organizing model in a non-stationary environment
Building and using a hierarchical representation of space
A system for exploring big data: an iterative k-means searchlight for outlier detection on open health data
Generative models for automatic recognition of human daily activities from a single triaxial accelerometer
Robust Uncertainty Quantification for Factual Generation of Large Language Models
Self organizing maps for class discovery in the quantitative colocalization analysis feature space
A Method for Explainable Medical Abstracts Classification through Transformer Models
Group IF Units with Membrane Potential Sharing for High-Accuracy Low-Latency Spiking Neural Networks
Fabrication and testing of memristive devices
Enhancing Secure Tree Training with Stacking Ensemble Method in Vertical Federated Learning on Non-IID Tabular Data
On the cooperative observability of a continuous-time linear system on an undirected network
Toward an analog VLSI implementation of adaptive resonance theory (ART2)
Selective Feature Network for Object Detection
Cooperation control and enhanced class structure in self-organizing maps
Backpropagation for Population-Temporal Coded Spiking Neural Networks
Maximum entropy ICA constrained by individual entropy maximization employing self-organizing maps
A supervised approach for change detection in data streams
Multi-scale Support Vector Regression
Multi-fault diagnosis of electronic circuit boards using neural networks
Modified learning for discrete multi-valued neuron
Neural network controller for adaptive routing in survivable communications networks
Nonlinear Component Analysis Based on Correntropy
A hierarchical, nonparametric, sequential change-detection test
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis
Noisy Importance Sampling Actor-Critic: An Off-Policy Actor-Critic With Experience Replay
A switch kernel width method of correntropy for channel estimation
Deep Kernel Calibration
Low n-rank tensor log-linear models for classification
Adaptive background estimation using an information theoretic cost for hidden state estimation
Content-based spam filtering
Breaking Static Barriers: Dynamic Post-Training Quantization for Diffusion Models
EyeTransGAN: End-to-End Generation of Corneal Fluorescein Staining Images from Anterior Segment Photography with Unsupervised Semantic Consistency
A Model-Based Federated Semi-Supervised Learning
SAMKR: Bottom-up Keypoint Regression Pose Estimation Method Based On Subspace Attention Module
Multivariate Long Sequence Time Series Forecasting Based on Robust Spatiotemporal Attention
Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots
Neighbor annealing for neural network training
A Hybrid Structured Neural Network Receiver in Digital Communication Systems
Singular spectrum analysis for tracking of P300
SATNet: Upgraded LSTM Network For Mining Time Series Correlation Utilizing The Self-Attention Mechanism
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management
Structuring Multiple Simple Cycle Reservoirs with Particle Swarm Optimization
Bimal: Bipartite matching alignment for the contact map overlap problem
Frequency domain analysis based RBF networks and their applications to function approximations
Generative Adversarial Networks: A Likelihood Ratio Approach
New single neuron structure for solving nonlinear problems
Distributed Adaptive Dynamic Programming Algorithm for Office Energy Control with Multiple Batteries
Phoneme based Domain Prediction for Language Model Adaptation
A neural network made of a Kohonen's SOM coupled to a MLP trained via backpropagation for the diagnosis of malignant breast cancer from digital mammograms
Outlier Detection on Semantic Space for Sentiment Analysis With Convolutional Neural Networks
Camouflaged Object Detection using Multi-Level Feature Cross-Fusion
SentinelGNN: A Neural Network Architecture for Detecting Anomalies in Attributed Multi-graphs
Dynamic binary neural networks and evolutionary learning
Novel Fast Binary Hash for Content-based Solar Image Retrieval
Thermal Noise Removal of Magnetic Resonance Images: A Deep Learning Approach Based on an Attentive Residue Multi-Dilated Network with Adaptive Filtering and Discrete Cosine Transform
On the Use of Neural Networks in the Generalized Likelihood Ratio Test for Detecting Abrupt Changes in Signals
A Mushroom Bodies inspired spiking network for classification and sequence learning
Private FLI: Anti-Gradient Leakage Recovery Data Privacy Architecture
Firing correlations improve detection of moving bars
Gaussian Splatting-based Scene Reconstruction with Adaptive Sampling and Region-based Rendering
Sequential causal estimation and learning from time-varying images
A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies
Cross-Domain Recommendation with Multiple Sources
Dynamic learning algorithm of multi-layer perceptrons for letter recognition
Low-Consumption Neuromorphic Memristor Architecture Based on Convolutional Neural Networks
Two-level clustering approach to training data instance selection: A case study for the steel industry
Neural network river discharge forecasters: an empirical investigation of hidden unit processing functions based on two different catchments
Continuous-time on-policy neural Reinforcement Learning of working memory tasks
Optimized Computation Combining Classification and Detection Networks with Distillation
STDP-based Associative Memory Model on Spiking Neural Networks
FPGA implementation of a support vector machine for classification and regression
Using Feature Selection from XGBoost to Predict MIC Values with Neural Networks
Particle filters and beamforming for EEG source estimation
Superposition-based order analysis in self-organizing maps
A software development process model for artificial neural networks in critical applications
Deep Learning-based Object Detection for Crop Monitoring in Soybean Fields
Neural network architectures for the forward kinematics problem in robotics
Ranking algorithm based on relational topic model
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
Extraction of Components with Structured Variance
Neuronal avalanche induced by multiplicative spike-timing-dependent plasticity
Data analysis, visualization, and hidden factor discovery by unsupervised learning
FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System
GPNet: Infrared Small Target Detection via Global Information Enhancement and Position Attention Guidance
Feature weighting using neural networks
Piecewise linear networks (PLN) for function approximation
Extracting characteristic words of text using neural networks
A scalable wide area monitoring system using cellular neural networks
Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism
Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model
Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP
Joint Post-Training Pruning and Power-of-Two Quantization for Efficient Edge Computing
An analysis based on F-discrepancy for sampling in regression tree learning
Learning Distributed Coordinated Policy in Catching Game with Multi-Agent Reinforcement Learning
Clarified Aggregation and Predictive Modeling (CAPM): High-Interpretability Framework for Inductive Link Prediction
A neural cascade architecture for document retrieval
Particle with ability of local search swarm optimization: PALSO for training of feedforward neural networks
HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network
Using NNs to retrieve multiple geophysical parameters from satellite data
Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation
ASLR: An Adaptive Scheduler for Learning Rate
How image distortions affect inference accuracy
Direct adaptive control: an echo state network and genetic algorithm approach
Neural architectures for thinking, reasoning and being conscious
RestoreCUFormer: Transformers to Make Strong Encoders via Two-stage Knowledge Learning For Multiple Adverse Weather Removal
An algebraic proof for backpropagation in acyclic neural networks
Spatial-Enhanced Temporal Graph Networks for Credit Risk Prediction to Cold-Start Users
Increased swimming control with evolved lamprey CPG controllers
Neurohydrodynamics as a heuristic mechanism for cognitive processes in decision-making
Rain rate retrieval by processing the observations of the 85V and 85H GHz channels of the SSM/I and TMI passive microwave sensors
A self-learning map-seeking circuit for visual object recognition
Convolutional decoders based on artificial neural networks
A stochastic neural model for fast classification of binary images
Autoassociative Pyramidal Neural Network for face verification
Neural network designed volume holographic wavelet correlator for pattern recognition
Separating Spectral and Spatial Feature Aggregation for Demosaicking
Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps
Exploiting Multi-View Clues for Context-Aware Unified Lumbar MRI Identification and Diagnosis
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction
Towards Modeling Auditory Restoration in Noisy Environments
Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge
A self-organizing scale-sensitive neural network
Exploring the Relation between Dataset Complexity and AutoML Fitness Landscape Metrics
Saliency Map Explainability for Breast Ultrasounds
The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles
Information State: A Representation for Dynamic Processes Using Information Theory
Solar radiation forecast under convex piecewise linear cost functions
Hybrid learning based on Multiple Self-Organizing Maps and Genetic Algorithm
Risk Prediction for Imbalanced Data in Cyber Security : A Siamese Network-based Deep Learning Classification Framework
Attention-Driven Driving Maneuver Detection System
A fast algorithm for estimating overcomplete ICA bases for image windows
Image Redundancy Reduction for Neural Network Classification Using Discrete Cosine Transforms
Q-PGD: A Stealthy and Effective Speaker Recognition Adversarial Attacks Based on Quantized Projected Gradient Descent
Approximation of chaotic shapes with tree-structured neural networks
Defense Against Reconstruction Attacks in Split Federated Learning Through Decreasing Correlation Between Inputs and Activations
Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning
Initial species discrimination experiments with riverine salmonids
An automatic method to detect missing components in manufactured products
An analysis of the convergence time of Hamming memory networks
Composite kernel based SVM for hierarchical multi-label gene function classification
A motor learning neural model based on Bayesian network and reinforcement learning
Discrete-time systems neuro-Riccati equation solution
SpreadOut: A Kernel Weight Initializer for Convolutional Neural Networks
Game-theoretic tracking control for actuator attack attenuation in cyber-physical systems
Deep Representation Learning for Code Smells Detection using Variational Auto-Encoder
Deep neural network bottleneck features for bird species verification
Online reinforcement learning by Bayesian inference
Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding
Attentive Relation Network for Object based Video Games
Conformal Prediction Enhanced SVMs for Swarm Behavior Classification
Tighter Perceptron with improved dual use of cached data for model representation and validation
Adaptive Window Strategy for Topic Modeling in Document Streams
Investigation on Diversity in Homogeneous and Heterogeneous Ensembles
Training Coordination Proxy Agents
Neuro-cognitive model of move location in the game of Go
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series
Support vector regression performance analysis and systematic parameter selection
LSTM-Based Quantitative Trading Using Dynamic K-Top and Kelly Criterion
Multi-class AUC metrics and weighted alternatives
Grouped Federated Meta-Learning for Privacy-Preserving Rare Disease Diagnosis
Eliminating Retrieval Knowledge Conflicts: Cross-Validation Re-ranking with Large Language Models
Adaptation of facial feature extraction and rule generation in emotion-analysis systems
A fuzzy inference neural network based method for short-term load forecasting
SAFE Natural Language Processing
Survey on Automated End-to-End Data Science?
Spatial filter adaptation based on geodesic-distance for motor EEG classification
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency
Offline Reinforcement Learning with Uncertainty Critic Regularization Based on Density Estimation
Application of four-layer neural network on information extraction
An increasing hybrid morphological-linear perceptron with pseudo-gradient-based learning and phase adjustment for financial time series prediction
A Unified Binary Embedding Framework for Image Retrieval
A Symbolic-Neural Reasoning Model for Visual Question Answering
Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms
New Avenues in Mobile Tourism
Singer Identification for Metaverse with Timbral and Middle-Level Perceptual Features
An ETF Trading Decision Support System by Using Neural Network and Technical Indicators
Text Independent Speaker Verification Using Modular Neural Network
Decoupled Non-Local Attention for Single Image Super-Resolution
Autocorrelation and partial autocorrelation functions to improve neural networks models on univariate time series forecasting
Unsupervised context-based learning of multiple temporal sequences
Extracting Prerequisite Relations Among Concepts in Wikipedia
Study on the Vision Reading Algorithm based on Template Matching and Neural Network
A modified PD control of robot manipulator using neural network compensator
Supervised radar signal classification
Causal Influences Decouple From Their Underlying Network Structure In Echo State Networks
A novel approach to fault classification using sparse sets of exemplars
An insect brain inspired neural model for object representation and expectation
Spatiotemporal feature extraction based on invariance representation
Application of self-organizing network and MLP for fuzzy rule extraction
Adaptive dynamic programming for discrete-time systems with infinite horizon and ELEMENT OF -error bound in the performance cost
An Investigation of Replay-based Approaches for Continual Learning
Pulmonary Nodule Classification with Multi-View Convolutional Vision Transformer
Refacing Defaced MRI with PixelCNN
Spatio-Temporal Fusion Network for Video Super-Resolution
On the hybrid of genetic algorithm and particle swarm optimization for evolving recurrent neural network
Selecting Bankruptcy Predictors Using a Support Vector Machine Approach
Stealthy Backdoor Attack against Object Detection
A hierarchical Bayesian learning scheme for autoregressive neural networks: application to the CATS benchmark
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation
Fingerprint recognition using wavelet transform and probabilistic neural network
High-Level Attention Meta-Learner for Class Incremental Learning
Automatic Road Sign Recognition Using Neural Networks
Recognition of 3D arm movements using neural networks
LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection
Token Selection Acceleration: A Structure-Guided Approach for Diffusion Transformer Model
RBPSum: An extractive summarization approach using Bi-Stream Attention and Position Residual Connection
A modular hierarchical neural network for machine vision
Enhance the prior knowledge in Bayesian learning with semantic similarity for few-shot image classification
Towards a More Efficient Sinkhorn Distance Computation in Neural Topic Models
Class representative autoencoder for low resolution multi-spectral gender classification
Neural Network Initialization with Prototypes - Function Approximation in Engineering Mechanics Applications
Statistical process monitoring using independent component analysis based disturbance separation scheme
Testing olfactory models with an artificial experimental platform
Atmospheric Data Compression and Reconstruction Using Spherical GANs
Dimensionality reduction assisted tensor clustering
Analyzing dividend events with neural network rule extraction
Nonlinear adaptive Neuro-PID controller design for greenhouse environment based on RBF network
ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning
Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands
Small-catchment flood forecasting and drainage network extraction using computational intelligence
Visualizing Communication between Neurons in the Lamina Ganglionaris of Musca domestica
Network-traffic anomaly detection with incremental majority learning
Multi-Branch Spatial-Temporal Decoupling Neural Network for Traffic Forecasting
Sparse maximum entropy deep belief nets
RGB-Event Fusion with Self-Attention for Collision Prediction
Entropic Out-of-Distribution Detection
Extending traffic light recognition: Efficient classification of phase and pictogram
Face expression recognition with a 2-channel Convolutional Neural Network
Affective computation on EEG correlates of emotion from musical and vocal stimuli
Adaptive controller for PMSG wind turbine systems with back-to-back PWM converters
Turing machine simulation using hard-limiter neurons
Evolutionary Adaptive Self-Generating Prototypes for imbalanced datasets
FSAD:Few-Shot Object Detection via Aggregation and Disentanglement
Deep MLPs for Imbalanced Classification
Time Series Trend Detection and Forecasting Using Complex Network Topology Analysis
Decoding of information from distributed motor maps
Unsupervised Dual-discriminative Graph Neural Network for Anomaly Detection
Identification of Low Back Injury from EMG Signals using a Neural Network Model
Percept-related cortical induced activity during bistable perception
Stochastic gradient based iterative identification algorithm for a class of dual-rate Wiener systems
Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud
Quaternion-valued short term forecasting of wind profile
Self-organizing neural networks for efficient clustering of gene expression data
Using complex-valued Levenberg-Marquardt algorithm for learning and recognizing various hand gestures
A Reinforcement Learning Method for Continuous Domains Using Artificial Hydrocarbon Networks
Using scout clusters for motion planning
Residential Energy Management with Deep Reinforcement Learning
Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering
HiCAN: Hierarchical Cross-Modal Attention Fusion Network for Rumor Detection
A Constructive RBF Neural Network for Estimating the Probability of Defects in Software Modules
Deeply-supervised CNN for prostate segmentation
Topology optimization for artificial neural networks using differential evolution
Rumour Detection on Social Media with Long-Tail Strategy
Emitter number estimation from pulse envelope using information theoretic criterion
A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods
Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation
Airport detection from remote sensing images using transferable convolutional neural networks
Sparse Bayesian learning and the relevance multi-layer perceptron network
Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia ® CUDA™
Qubit Inspired Neural Network towards Its Practical Applications
A management framework for device-free localization
Evaluation of active position detection in Vehicular Ad Hoc Networks
A dynamic neural network for syllable recognition
The piecewise linear neural network: training and recognition
Adaptive Estimation of Multiple Fading Factors Based on RGAM Model
Multi-source Multi-view Clustering via discrepancy penalty
UGTransformer: Unsupervised Graph Transformer Representation Learning
A Hybrid Model of Bidirectional GRU and Graph Neural Network for Multivariate Temporal Data Interpolation
Stein Variational Gradient Descent with Variance Reduction
Unsupervised similarity-based feature selection using heuristic Hopfield neural networks
Optimizing exchange confidence during collaborative clustering
Full-Dimensional Optimizable Network: A Channel, Frame and Joint-Specific Network Modeling for Skeleton-Based Action Recognition
Probabilistic Neural Network Models for Sequential Data
Enhanced U-Net Models with Hybrid Attention Elements for Medical Image Segmentation
A New PTS for PAPR Reduction by Local Search in GA
Sensitivity Analysis for Conic Section Function Neural Networks
Generating High-Fidelity Images with Disentangled Adversarial VAEs and Structure-Aware Loss
SDAPNet: End-to-End Multi-task Simultaneous Detection and Prediction Network
KutralNet: A Portable Deep Learning Model for Fire Recognition
A regularized formulation for spectral clustering with pairwise constraints
Attention Based Double Layer LSTM for Chinese Image Captioning
Feed-forward network training using optimal input gains
Non-homogenous structures in neural networks with chaotic recursive nodes: dealing with diverse multi-assemblies architectures, connectivity and arbitrary bifurcating nodes
A biologically inspired neuronal model of reward prediction error computation
Redundancy in Convolutional Neural Networks: Insights on Model Compression and Structure
A connectionist approach to airliner safety
Probability density function estimation based over-sampling for imbalanced two-class problems
TRUST-TECH Based Neural Network Training
Attribute-Enhanced Hypergraph Neural Networks for Session-based Recommendation
Distribution and Knowledge Alignment-based Single-cell Multi-omics Cell Type Annotation
Adaptive local subspace classifier in on-line recognition of handwritten characters
Modeling Zero-Shot Relation Classification as a Multiple-Choice Problem
Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features
Fast Training and Model Compression of Gated RNNs via Singular Value Decomposition
A P-SVM and chaos based model for high-technology manufacturing labor productivity
Gene regulatory networks with variable-order dynamic Bayesian networks
An implementation of a theorem prover in symmetric neural networks
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks
A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation
NPMTiny: A Group-Decision-Oriented Non-Performing Mind Benchmark
Verification of continuity, using temporal code
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions
Introduction to CircuitML: Modeling Local Processing Units in the drosophila brain
Efficient diminished-1 modulo 2 n +1 multiplier architectures
Enhanced Fracture Diagnosis Based on Critical Regional and Scale Aware in YOLO
Intelligent Facial Analysis and Expression Recognition
Using the Q-learning algorithm in the constructive phase of the GRASP and reactive GRASP metaheuristics