yusuke1997/dblp-id-title huggingface dataset:
Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology
Attentive Contextual Network for Image Captioning
A Hubel Wiesel model of early concept generalization based on local correlation of input features
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 6
A temporal-based deep learning method for multiple objects detection in autonomous driving
Nested Hardware Architecture for Self-Organizing Map
Reliability Control in Committee Classifier Environment
HITSQL: Human-In-The-Loop Techniques for Enhancing Text-to-SQL Query Generation with Large Language Models
Fingerprint recognition using modular neural networks and fuzzy integrals for response integration
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
Disentangled Neural Architecture Search
NEGAN: Network Embedding based on Generative Adversarial Networks
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media
Coupling clustering and visualization for knowledge discovery from data
Event Detection Model Based on the Fusion of Hierarchical Syntactic and Type Semantic Features
Offline Model-based Optimization with Fisher Divergence Regularization
Fuzzy c-means clustering with a new regularization term for image segmentation
A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series
ADA: Adaptive Depth Attention Model for Click - Through Rate Prediction
Image-to-Image estimation of Heat Flux in STRIKE tiles Using Convolutional Neural Networks
Modification of correlation kernels in SVM, KPCA and KCCA in texture classification
Out-of-body experiences: False climbs in a supine position?
Vector-Valued Support Vector Regression
3D gesture recognition with growing neural gas
A Transfer Learning Method with Multi-feature Calibration for Building Identification
Nonlinear channel equalization with QAM signal using Chebyshev artificial neural network
Transformed-*: A domain-incremental lifelong learning scenario generation framework
Comparative Evaluation of Continual Learning Methods in Financial and Industrial Time-Series Data
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
Ramp metering based on on-line ADHDP (lambda) controller
The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries
An Iterative Transfer Learning based Classification framework
Contrastive Meta Learning for Soft Prompts Using Dynamic Mixup
Neurocognitive spotlights: Configuring domains for ideation
Sparse Bayesian prediction of disordered residues and disordered regions based on amino-acid composition
Estimation of Effective Fronto-Parietal connectivity during Motor Imagery using partial granger causality analysis
Moderating the outputs of support vector machine classifiers
SVM ensembles for selecting the relevant feature subsets
Fast and Accurate Pose Estimation in Videos based on Knowledge Distillation and Pose Propagation
Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments
Optimization of recursive branching network
Sparse analog associative memory via L1-regularization and thresholding
A Structure-Aware Graph Representation Learning Optimization
Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks
An LMI-neural network based solution to the load balancing problem for heterogeneous local clusters
Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Language
Dyna-PTM: OD-enhanced GCN for Metro Passenger Flow Prediction
Neural Network-based Fast Liver Ultrasound Image Segmentation
Two-Stream Heterogeneous Graph Network with Dynamic Interactive Learning for Video Question Answering
Predicting temporal sequences using an event-based spiking neural network incorporating learnable delays
Disaster Image Classification Using Capsule Networks
Evolving both size and accuracy of RBF networks using Memetic Algorithm
Towards conservative helicopter loads prediction using computational intelligence techniques
Hint Pyramid Learning Via Salient Semantic Mining
Manifold Correlation Graph for Semi-Supervised Learning
Multi-scale Fusion and Global Semantic Encoding for Affordance Detection
Generating Chinese Poetry from Images via Concrete and Abstract Information
Combining different ways to generate diversity in bagging models: An evolutionary approach
Application and Research of PINNs with Cross Network Enhanced Architecture in 3D Linear Elasticity Problems
Seismic Event Detection via Deep Multi-Task Learning
Network Capacity for Latent Attractor Computation
Neural Architecture Search Based on Evolutionary Algorithms with Fitness Approximation
Visualizing Support Vectors and topological data mapping for improved generalization capabilities
A weighted converging and radiating feature pyramid network for object detection
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network
Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing
Building a 2D-Compatible Multilayer Neural Network
Direct torque adaptive vector neural control of a three-phase induction motor
Learning with Noisy Labels: A Novel Meta Label Corrector without Clean Validation Data
Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis
DRGait: Dynamism Reinforced Gait Encoder for Identifying Scoliosis in a Noninvasive Way
Utilization of Question Categories in Multi-Document Machine Reading Comprehension
Robust optimization in support vector machine training with bounded errors
Medical Time-Series Multivariate Interactions Analysis based on Mutual Information
Anchored Constrained Clustering Ensemble
Mask Focal Modulation Network for Gastric Intestinal Metaplasia Segmentation
A Hopfield Neural Network Flow Classifier in IP Switching
Semi-supervised Graph Neural Networks with Incremental Learning for Fraud Detection
Long-term prediction of time series by combining direct and MIMO strategies
C. elegans behavioural response germane to Hardware modelling
Utilizing Generalized Growing and Pruning Algorithm for Radial Basis Function (GGAP-RBF) Network in Predicting IPOs Performance
Postnonlinear blind source separation via linearization identification
The performance of a Recurrent HONN for temperature time series prediction
Joint Heart Sounds Segmentation and Murmur Detection with Masked Loss Function
A computational neurogenetic model of a spiking neuron
Multi-Attention Cascade Model Based on Multi-Head Structure for Image-Text Retrieval
MSCoT: Structured Chain-of-Thought Generation for Multiple Programming Languages
Contextual Self-Learning Approach for Continuous Object Detections in Expansive Visual Domains
Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms
Boolean factors based Artificial Neural Network
3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition
Federated Semi-Supervised Learning Through a Combination of Self and Cross Model Ensembling
Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning
A Neural Network Model of the Connectivity of the Biological Somatic Sensors
MoEFuse: Degradation-Aware Fusion of Infrared and Visible Images Using Mixture of Experts
Physical Perception Network: An Enhanced Dehazing U-Net Framework for Color and Texture Recovery
Application of CAN2 to plane extraction from 3D range images
A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast
Identifying DNS Exfiltration based on Lexical Attributes of Query Name
Learning in deep architectures with folding transformations
Using Language Models for Extracting Legal Decisions from Portuguese Consumer Law Texts
Brain-Voyant: A General Purpose Machine-Learning Tool for Real-Time fMRI Whole-Brain Pattern Classification
A neural network approach for Chinese character recognition
Constrained versus unconstrained learning in generalized recurrent network for image processing
HLA typing using a fuzzy approach
Emotions, language, and Sapir-Whorf hypothesis
Seamless Robot Teleoperation: Intuitive Control through Hand Gestures and Neural Network Decoding
Multilayer perceptron based dimensionality reduction
Physics-Informed Neural Networks for Quantum Eigenvalue Problems
Improved Bayesian MRI reconstruction involving neural priors based on a regularization approach
Image classification using Gradient-Based Fuzzy c-Means with Divergence Measure
Perceptual organization based on temporal dynamics
Case study of Zhang matrix inverse for different ZFs leading to different nets
Neural-PSO second order sliding mode controller for unknown discrete-time nonlinear systems
Zero-shot Heterogeneous Graph Embedding via Aggregating Metapath Semantically
A new clustering-based method for protein structure selection
CactusNets: Layer Applicability as a Metric for Transfer Learning
A divide-and-conquer based radial basis function network with application to recurrent modelling
Nonlinear adaptive flight control using sliding mode online learning
Numerical condition of feedforward networks with opposite transfer functions
SVM classification tree algorithm with application to face membership authentication
Multi-Agent Transformer-based Automated Imbalanced Time Series Classification with Hyperparameter Optimization
FedAFW:Adaptive Feature-Driven Weighting Based Personalized Federated Learning
Pre-training Encoder-Decoder for Minority Language Speech Recognition
The Scalable Version of Probabilistic Linear Discriminant Analysis and Its Potential as A Classifier for Audio Signal Classification
Minimum Description Length Principle applied to structure adaptation for classification under concept drift
Chord recognition using neural networks based on Particle Swarm Optimization
Fine-tuning of the SOMkNN classifier
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization
RAECAE: A Multi-Scale Attention Residual Convolutional Autoencoder-Based Method for Denoising Vibration Signals of Wind Turbine Rolling Bearings
Enhancement of Short-Term Memory with Tilted External Magnetic Field for Spin-Wave Reservoir Computing
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering
Survival prediction in patients undergoing ischemic cardiopathy
Nonlinear Correct and Smooth for Semi-Supervised Learning
A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons
Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information
Compressive Learning of Multi-layer Perceptrons: An Error Analysis
Cascade neural networks in variational methods for boundary value problems
Training Radial Basis Functions by Gradient Descent
Interpretable Res-ViTNet with Multiview Interaction and Multiobjective Optimization for sEMG-based LLMI Recognition
Investigation of Multi-Layer Perceptron with pulse glial chain based on individual inactivity period
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks
Selective Parameter Tuning in Large Language Models for Task Specific Adaptation
META-DES.H: A Dynamic Ensemble Selection technique using meta-learning and a dynamic weighting approach
Efficient Detection and Localization of Acoustic Sources with a low complexity CNN network and the Diagonal Unloading Beamforming
Chaotic dynamics of time-delay neural networks
Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction
Desynchronization in networks of globally coupled neurons: effects of inertia
OLS versus SVM approach to learning of RBF networks
ChaLearn looking at people: A review of events and resources
Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction
MST-GFN: Multimodal Spatiotemporal Graph Fusion Network for Abnormal Gait Recognition Using Wearable Sensors and Skeleton Data
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection
Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition
A Modular Approach to Construction of Spiking Neural Networks
A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition
A Training Rule Which Guarantees Finite-Region Stability of Neural Network Closed-Loop Control: An Extension to Nonhermitian Systems
SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks
On the Volatility of Shapley-Based Contribution Metrics in Federated Learning
Lightweight Adaptive PPO-AHP Enhanced Algorithm for Task Offloading in Vehicular Edge Computing
A bio-inspired approach modeling spiking neural networks of visual cortex for human action recognition
A Semantic-Aware Approach to Image Deraining with Transformer
Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot
Multi-Objective Evolutionary Job-Shop Scheduling Using Jumping Genes Genetic Algorithm
Object recognition in a context-aware application
Creating an ensemble of diverse support vector machines using Adaboost
Visual spike-based convolution processing with a Cellular Automata architecture
A hierarchal classifier for identifying independent components
Attribution Modeling for Deep Morphological Neural Networks using Saliency Maps
Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2
CampusFall: A Multi-Perspective Indoor and Outdoor Fall Detection Dataset Based on Campus Surveillance
Are current gait-related artifact removal techniques useful for low-complexity BCIs?
Simplified SOM-neural model for video segmentation of moving objects
Fusion Subspace Clustering for Incomplete Data
Ensemble Attention For Text Recognition In Natural Images
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks
Modeling of saccadic movements using neural networks
GNG based surveillance system
Seizure prediction through dynamic synchronization measures of neural populations
Mitigating the Curse of Dimensionality in Heart-Disease Risk Prediction Through the Use of Different Feature-Engineering Techniques
Collaboration of Machines and Robots in Cyber Physical Systems based on Evolutionary Computation Approach
Unsupervised transfer learning via Low-Rank Coding for image clustering
A spiking neural network for illuminant-invariant colour discrimination
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks
Identifying causal relationships in an urban information modeling framework
Persistent Representation of Event Camera Output Using Spiking Neural Networks
Unsupervised Learning with Self-Organizing Spiking Neural Networks
Auto-Associative Neural Network Based on New Hybrid Model of SFNN and GRNN
Stability analysis of decentralized motor control
Forecasting exchange rate with deep belief networks
Fast Autonomous Growing Neural Gas
Multi-View User Representation Learning for User Matching Without Personal Information
Ubiquitous deployment configuration of indoor location services
Boundary-Aware Set Abstraction for 3D Object Detection
Fault-tolerant and high reliability space robot design and research
Variable Input Neural Network Ensembles in Generating Synthetic Well Logs
Handwritten digit recognition of Indian scripts: A cascade of distances approach
Improving Communication-Efficient and Byzantine-Robust Distributed Learning with Local Adaptive Momentum
Prediction of convergence dynamics of design performance using differential recurrent neural networks
TechSupportEval: An Automated Evaluation Framework for Technical Support Question Answering
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing
A teacher for every learner: Rising to the challenge with computational intelligence
Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences
Intelligent Prediction System of Coal-Gas Outburst Based on Evolutionary Neural Nets
Curriculum Learning Based Multi-Agent Path Finding for Complex Environments
DCQNet: Collaborative Camouflaged Object Detection Using Cross-Sample and Cross-Scale Network
The spectral radius remains a valid indicator of the Echo state property for large reservoirs
Least relative entropy for voiced/unvoiced speech classification
Automatic Graph Generation for Document-Level Relation Extraction
Efficient design of triplet based Spike-Timing Dependent Plasticity
When Dynamic Causality Comes to Graph-Temporal Neural Network
An Artificial Neural Network approach for user class-dependent off-line sentence segmentation
Improved defect detection using support vector machines and wavelet feature extraction based on vector quantization and SVD techniques
Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology
Implementation of configurable and multipurpose spiking neural networks on GPUs
International Joint Conference on Neural Networks, IJCNN 2025, Rome, Italy, June 30 - July 5, 2025
A Novel Cooperative Neural Learning Algorithm for Data Fusion
Hardware spiking neurons design: Analog or digital?
Iterative Fusion Method Based on Heterogeneous Graph Neural Network for Entity Alignment
Approximate dynamic programming for high dimensional resource allocation problems
A new investment strategy based on data mining and Neural Networks
Prediction of Weather Radar Images via a Deep LSTM for Nowcasting
A novel fuzzy clustering neural network
MF2former: Multi-Feature Fusion Transformer for Traffic Flow Prediction
Deep Diffusion Autoencoders
Detection of Alzheimer's disease using advanced local binary pattern from hippocampus and whole brain of MR images
Explainable Debugger for Black-box Machine Learning Models
Self-Organizing Maps in Adaptive Health Monitoring
Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study
A probability-dynamic Particle Swarm Optimization for object tracking
Coordination dynamics in large-scale cortical networks
EViTIB: Efficient Vision Transformer via Inductive Bias Exploration for Image Super-Resolution
Understanding neural computation in terms of pattern languages
Flood forecasting technology with radar-derived rainfall data using Genetic Programming
A spiking neural network based on temporal encoding for electricity price time series forecasting in deregulated markets
Fast Compressor Map Computation by Utilizing Support Vector Machine and Response Surface Approximation
Analysis of classification performance for Hopfield network with predefined correlated exemplar patterns
Feature Extraction from Color and Stereo Images Using ICA
Robust Deep Multi-task Learning Framework for Cancer Survival Analysis
Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data
On processing three dimensional data by quaternionic neural networks
TATM: Task-Adaptive Token Matching for Few-Shot Transformer
Adaptive Learning Rule for Binary Couplings Networks
Accurate classification of immunomodulatory RNA sequences
SE-GAN: A Swap Ensemble GAN Framework
Sparsity as the Implicit Gating Mechanism for Residual Blocks
Distribution approximation, combinatorial optimization, and Lagrange-Barrier
GTM Mixture through time for sequential data
Recurrent neural networks solving a real large scale mid-term scheduling for power plants
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction
Gated Neural Network with Regularized Loss for Multi-label Text Classification
Semantic segmentation of bioimages using convolutional neural networks
Support vector machine with SOM-based quasi-linear kernel for nonlinear classification
Graph Theory for Metro Traffic Modelling
A New Dataset and Performance Evaluation of a Region-based CNN for Urban Object Detection
Principal Component Analysis using Constructive Neural Networks
Hybrid model for multiagent reinforcement learning
Hierarchical Dual Quaternion-Based Recurrent Neural Network as a Flexible Internal Body Model
On the Analysis of Sigmoid Time Parameters for Dynamic Truncated BPTT Algorithm
Spatio-Temporal Graph Learning for Enhanced Agent Collaboration in Multi-Aircraft Combat
Computing the 2-D image euler number by an Artificial Neural Network
Exploring the Feasibility of End-to-End Large Language Model as a Compiler
Topology preserving dictionary learning for pattern classification
Latent Space-Based Backdoor Attacks Against Deep Neural Networks
A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand
Rotation and Size Independent Face Recognition by the Spreading Associative Neural Network
Position Paper: Quantum Neural Networks - A Paradigm Shift in AI or a Theoretical Promise?
Event-based Row-by-Row Multi-convolution engine for Dynamic-Vision Feature Extraction on FPGA
Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks
A cortex-like model for rapid object recognition using feature-selective hashing
An Enhanced Autism Detection Model Based on Electroencephalogram Signals
A new convolutional map feature extraction for character recognition
Modeling Coverage for Non-Autoregressive Neural Machine Translation
A comparison of artificial neural networks and cluster analysis for typing biometrics authentication
Efficient kernel functions for the general regression and modified probabilistic neural networks
Predictive unsupervised organisation in marine engine fault detection
PNAHN: Parallel Neighbor Aggregation for Heterogeneous Graph Neural Network
Dilated Point Spatio-Temporal Mesh Transformer for mmWave Radar-Based Human Mesh Reconstruction
The use of back propagation neural networks to identify mediator-specific cardiovascular waveforms
Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning
Adaptive Skill Selection for Effective Exploration of Action Space
Applying knowledge engineering methods to didactic knowledge first steps towards an ultimate goal
Density Based Self Organizing Incremental Neural Network for data stream clustering
Application of neural network in the field of target threat evaluation
Prediction of time to event for censored data: ridge regression with linear constraints in kernel space
Improving robot vision models for object detection through interaction
Unsupervised Anomaly Detection for Automotive CAN Bus on the Intel Loihi
Modeling Short Term Interest Rates: A Comparison of Methodologies
Dynamic Margin for Federated Learning with Imbalanced Data
Data Augmentation Ensemble Module based on Natural Guidance for X-ray Prohibited Items Detection
Robust nonnegative matrix factorization with ordered structure constraints
Top-Down Cortical Influences in Visual Expectation
Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion
Gradient Descent Optimizes Normalization-Free ResNets
Xigmoid: An Approach to Improve the Gating Mechanism of RNN
Speech segmentation using probabilistic phonetic feature hierarchy and support vector machines
OCDIB: An Information Bottleneck-Guided Approach for Overlapping Community Detection
Cross validation and MLP architecture selection
A Neurofuzzy Scheme for On-Line Identification of Non-Linear Dynamical Systems with Variable Transfer Function
Polynomial approximation RAM neuron capable of handling true continuous input variables
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
Input Window Size and Neural Network Predictors
Support Vector Clustering Applied to Digital Communications
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning
Aircraft cabin noise minimization via neural network inverse model