yusuke1997/dblp-id-title huggingface dataset:
Nonparallel Support Vector Machine with L2-norm Loss and its DCD-type Solver
Meta-Heuristic Based Deep Learning Model for Leaf Diseases Detection
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs
øverline pin-TSVM: A Robust Transductive Support Vector Machine and its Application to the Detection of COVID-19 Infected Patients
Orthogonal RBF Neural Network Approximation
Pseudo Almost Automorphic Solutions of Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays
OTIEA:Ontology-Enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignment
Rethinking Regularization with Random Label Smoothing
Editorial for Special Issue on ICONIP 2013
A Novel Self-Creating Neural Network for Learning Vector Quantization
An Optimization Technique for Solving a Class of Ridge Fuzzy Regression Problems
Low-Light Image Enhancement via Regularized Gaussian Fields Model
Sparse RBF Networks with Multi-kernels
Improving Open Information Extraction with Distant Supervision Learning
Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines
Neural Combinatorial Optimization with Explanation
The Sampled-data Exponential Stability of BAM with Distributed Leakage Delays
PP-SPA: Privacy Preserved Smartphone-Based Personal Assistant to Improve Routine Life Functioning of Cognitive Impaired Individuals
Convergence Problems due to an RBF Classifier's Learning Process
Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems
Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures
Synchronization of Stochastic Complex Dynamical Networks with Mixed Time-Varying Coupling Delays
New Results on Robust Finite-Time Passivity for Fractional-Order Neural Networks with Uncertainties
Impulsive Stabilization and Synchronization of Fractional-Order Complex-Valued Neural Networks
H ∞ State Estimation of Static Neural Networks with Mixed Delay
Ensemble of Efficient Minimal Learning Machines for Classification and Regression
Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression
Constrained PSO Based Center Selection for RBF Networks Under Concurrent Fault Situation
Moving Object Detection in Video Sequences Based on a Two-Frame Temporal Information CNN
Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images
Learning with Nearest Neighbour Classifiers
Mutated Cleavages of Images for Stealth Disclosure: A Hopfield Neural Network Attractor (HNNA) Approach
Constructive Approximation of Discontinuous Functions by Neural Networks
A New Convolutional Neural Network Architecture for Automatic Segmentation of Overlapping Human Chromosomes
A Weakly Connected Memristive Neural Network for Associative Memory
Feature Selection Method Based on Differential Correlation Information Entropy
Efficient Deep Feature Based Semantic Image Retrieval
RT-Net: Region-Enhanced Attention Transformer Network for Polyp Segmentation
RII-GAN: Multi-scaled Aligning-Based Reversed Image Interaction Network for Text-to-Image Synthesis
Kernel Extreme Learning Machine with Discriminative Transfer Feature and Instance Selection for Unsupervised Domain Adaptation
Feature Selection for Adaptive Dual-Graph Regularized Concept Factorization for Data Representation
Neural Recognition of Human Pointing Gestures in Real Images
Region Centric Minutiae Propagation Measure Orient Forgery Detection with Finger Print Analysis in Health Care Systems
An Accurate Measure for Multilayer Perceptron Tolerance to Weight Deviations
A Survey of Algorithmic and Hardware Optimization Techniques for Vision Convolutional Neural Networks on FPGAs
Point Cloud Registration Network Based on Convolution Fusion and Attention Mechanism
The Kernel Recursive Least Squares CMAC with Vector Eligibility
Design of an Integrated Model for Gait Identification Using DDPG, Sparse Group Lasso, and Stacked Generalization
A Robust TrafficSignNet Algorithm for Enhanced Traffic Sign Recognition in Autonomous Vehicles Under Varying Light Conditions
Quasi-Synchronization and Complete Synchronization of Fractional-Order Fuzzy BAM Neural Networks Via Nonlinear Control
Sensitivity Analysis for Decision Boundaries
A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks
Rethinking Position Embedding Methods in the Transformer Architecture
NRIC: A Noise Removal Approach for Nonlinear Isomap Method
Evaluation of the Explanatory Power Of Layer-wise Relevance Propagation using Adversarial Examples
The Evolving Tree - A Novel Self-Organizing Network for Data Analysis
Security Event-Triggered Filtering for Delayed Neural Networks Under Denial-of-Service Attack and Randomly Occurring Deception Attacks
Computation of CNN's Sensitivity to Input Perturbation
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity
Periodic Solution for ∇ -Stochastic High-Order Hopfield Neural Networks with Time Delays on Time Scales
A Novel Paraphrase Generation Model Using Semantically and Syntactically Controlled Structures
Privacy Enhanced Cloud-Based Facial Recognition
The Neural Solids; For optimization problems
Neural-Network-Based Adaptive Consensus Control for Nonlinear Multiagent Systems Subject to Time Delays and Unknown Disturbance
Passivity Analysis of Dynamic Neural Networks with Different Time-scales
Entropy-Based Fuzzy Least Squares Twin Support Vector Machine for Pattern Classification
Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach
Neuro-Skins: Dynamics, Plasticity and Effect of Neuron Type and Cell Size on Their Response
A Multi-strategy Improved Sparrow Search Algorithm and its Application
Compressive Sensing of Multichannel EEG Signals Based on Graph Fourier Transform and Cosparsity
SpanEffiDet: Span-Scale and Span-Path Feature Fusion for Object Detection
Solving Emden-Fowler Equations Using Improved Extreme Learning Machine Algorithm Based on Block Legendre Basis Neural Network
Label Propagation Based on Bipartite Graph
Stability and Bifurcation Analysis on a Fractional Model of Disease Spreading with Different Time Delays
Syncretic Feature Selection for Machine Learning-Aided Prognostics of Hepatitis
Computational Intelligence Methods for Time Series Analysis and Forecasting: Special Issue of IWANN 2017
Exploitation of Contributions to Information Gain, from Learning Analysis to Architecture Synthesis
Self-coloring-Driven Plume Source Localization Strategy for Multiple Robots Using Dirichlet Process Gaussian Mixture Model and Mutation Random Salp Swarm Algorithm
Sparse and Truncated Nuclear Norm Based Tensor Completion
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets
A Random Focusing Method with Jensen-Shannon Divergence for Improving Deep Neural Network Performance Ensuring Architecture Consistency
AAM Based Face Sketch Synthesis
DFGR: Diversity and Fairness Awareness of Group Recommendation in an Event-based Social Network
Feature Extraction via Sparse Fuzzy Difference Embedding (SFDE) for Robust Subspace Learning
Supervised Learning Probabilistic Neural Networks
Learning Multi-level Deep Representations for Image Emotion Classification
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks
Fast-Convergent Fully Connected Deep Learning Model Using Constrained Nodes Input
Improving Feature Extraction Using a Hybrid of CNN and LSTM for Entity Identification
Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model
Semantic Multiclass Segmentation and Classification of Kidney Lesions
Glowworm Swarm Optimization for Dispatching System of Public Transit Vehicles
Functional Segmentation of Renal DCE-MRI Sequences Using Vector Quantization Algorithms
CAM R-CNN: End-to-End Object Detection with Class Activation Maps
Error Graph Regularized Nonnegative Matrix Factorization for Data Representation
On EM Estimation for Mixture of Multivariate t -Distributions
Predictive Coding in the Visual Cortex by a Recurrent Network with Gabor Receptive Fields
Brain Tumor Segmentation Using Deep Learning and Fuzzy K-Means Clustering for Magnetic Resonance Images
Advanced neural network systems for solving complex real problems
A Domain Adaptive Semantic Segmentation Method Using Contrastive Learning and Data Augmentation
An Adaptive Unsupervised Neural Network Based on Perceptual Mechanism for Dynamic Object Detection in Videos with Real Scenarios
Joint Spectral Clustering based on Optimal Graph and Feature Selection
Active Selection Transfer Learning Algorithm
On Robust Exponential Periodicity of Interval Neural Networks with Delays
Incomplete Multi-view Learning via Consensus Graph Completion
A New Conjugate Gradient Method with Smoothing L 1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks
Multi-dimensional Topological Association Strengthening Clustering Network
Parameters Sharing in Residual Neural Networks
Conditional Embedding Pre-Training Language Model for Image Captioning
Merging of Neural Networks
FCA-LJP: A Method Based on Formal Concept Analysis for Case Judgment Prediction
Neural Mechanism of Corticofugal Modulation of Tuning Property in Frequency Domain of Bat's Auditory System
Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning
Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function
Constructive Backpropagation for Recurrent Networks
LMI-Based Synchronization Conditions to R-L Fractional Time-Varying Delayed Neural Networks with Parametric Uncertainty
Image Captioning with Dense Fusion Connection and Improved Stacked Attention Module
An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks
Exponential Stability of Stochastic Time-Delay Neural Networks with Random Delayed Impulses
Distributed Fault Detection in Sensor Networks using a Recurrent Neural Network
Multitask Classification Method Based on Label Correction for Breast Tumor Ultrasound Images
Learning Temporally Encoded Patterns in Networks of Spiking Neurons
Feature Extraction Using Fractional-Order Embedding Direct Linear Discriminant Analysis
Finite Time Synchronization of Delayed Quaternion Valued Neural Networks with Fractional Order
Exponential Convergence for HCNNs with Oscillating Coefficients in Leakage Terms
A new scheme for incremental learning
State-Space Recurrent Fuzzy Neural Networks for Nonlinear System Identification
New Least Squares Support Vector Machines Based on Matrix Patterns
Histo-Quartic Graph and Stack Entropy-Based Deep Neural Network Method for Brain and Tumor Segmentation
Disentangled Variational Autoencoder for Social Recommendation
Robust Non-rigid Registration Based on Affine ICP Algorithm and Part-Based Method
Input Feature Extraction for Multilayered Perceptrons Using Supervised Principal Component Analysis
Towards a Self-Learning Agent: Using Ranking Functions as a Belief Representation in Reinforcement Learning
Correction: Detecting Bitcoin Sentiment: Leveraging Language Model Applications in Sentiment Analysis for Bitcoin Price Prediction
Meta-Heuristic Algorithms-Tuned Elman vs. Jordan Recurrent Neural Networks for Modeling of Electron Beam Welding Process
TSCF: An Improved Deep Forest Model for Time Series Classification
MAFD: Multiple Adversarial Features Detector for Enhanced Detection of Text-Based Adversarial Examples
Feature Fusion Using Multiple Component Analysis
FEFM-YOLO11: Underwater Object Detection Algorithm Based on Improved YOLO11
Do Kernel and Neural Embeddings Help in Training and Generalization?
The Intermittent Control Synchronization of Complex-Valued Memristive Recurrent Neural Networks with Time-Delays
Constraint Score Evaluation for Spectral Feature Selection
Shape From Shading by Using Neural Based Colour Reflectance Model
A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting
On-line Successive Synthesis of Wavelet Networks
CSA-Net: Deep Cross-Complementary Self Attention and Modality-Specific Preservation for Saliency Detection
Chebyshev Functional Link Artificial Neural Network Based on Correntropy Induced Metric
Synchronization of Stochastic Multi-Weights Complex Networks with Lévy Noise and Markovian Switching
Evaluation of Physical Electrical Experiment Operation Process Based on YOLOv5 and ResNeXt Cascade Networks
Online Hard Region Mining for Semantic Segmentation
Complex Fuzzy Concept Lattice
Homogenous Spiking Neural P Systems with Inhibitory Synapses
Fixed-Time Synchronization of Coupled Discontinuous Neural Networks with Nonidentical Perturbations
Design of Delay-Dependent Exponential Estimator for T-S Fuzzy Neural Networks with Mixed Time-Varying Interval Delays Using Hybrid Taguchi-Genetic Algorithm
Separately Guided Context-Aware Network for Weakly Supervised Temporal Action Detection
Global Minima Analysis of Lee and Seung's NMF Algorithms
Finite-Time Stability for Caputo-Katugampola Fractional-Order Time-Delayed Neural Networks
Some New Gronwall-Type Integral Inequalities and their Applications to Finite-Time Stability of Fractional-Order Neural Networks with Hybrid Delays
A Novel Binary Artificial Jellyfish Search Algorithm for Solving 0-1 Knapsack Problems
Retraction Note: A Hybrid Approach Using the Fuzzy Logic System and the Modified Genetic Algorithm for Prediction of Skin Cancer
Global Asymptotic Robust Stability and Global Exponential Robust Stability of Neural Networks with Time-Varying Delays
An Effective Principal Singular Triplets Extracting Neural Network Algorithm
Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer's Disease: A Comprehensive Review
A New Attention-Based LSTM for Image Captioning
Improved Summation Inequality Based State Estimation for Stochastic Semi-Markovian Jumping Discrete-Time Neural Networks with Mixed Delays and Quantization
Salp Swarm Optimizer for Modeling Software Reliability Prediction Problems
Stability and Bifurcation of a Class of Discrete-Time Cohen-Grossberg Neural Networks with Discrete Delays
FLSVR: Solving Lagrangian Support Vector Regression Using Functional Iterative Method
Blind Source Separation Using Quadratic form Innovation
Simplified-Boosting Ensemble Convolutional Network for Text Classification
Exponential Stabilization for Hybrid Recurrent Neural Networks by Delayed Noises Rooted in Discrete Observations of State and Mode
Leader-Following Consensus of Non-linear Multi-agent Systems with Interval Time-Varying Delay via Impulsive Control
Temporal Diversity-Aware Micro-Video Recommendation with Long- and Short-Term Interests Modeling
Character-to-Word Representation and Global Contextual Representation for Named Entity Recognition
A Comparative Study of Suitability of Certain Features in Classification of Bharatanatyam Mudra Images Using Artificial Neural Network
Adaptive Agents in Changing Environments, the Role of Modularity
Fixed-Time Adaptive Control for Nonstrict-Feedback Nonlinear Systems with Input Delay and Unknown Backlash-Like Hysteresis
Reduced Multi-class Contour Preserving Classification
Path Integration Mechanism with Coarse Coding of Neurons
Input Multiplexing in Artificial Neurons Employing Stochastic Arithmetic
Active Sonar Image Classification Using Deep Convolutional Neural Network Evolved by Robust Comprehensive Grey Wolf Optimizer
A General Learning Scheme for CMAC-based Controller
Rethinking Zero-DCE for Low-Light Image Enhancement
Quaternion Based Maximum Margin Criterion Method for Color Face Recognition
A Hybrid Modeling Method Based on Linear AR and Nonlinear DBN-AR Model for Time Series Forecasting
Accurate Low-Bit Length Floating-Point Arithmetic with Sorting Numbers
A Feature Selection Method for Projection Twin Support Vector Machine
GPU Accelerated Self-Organizing Map for High Dimensional Data
ELMAENet: A Simple, Effective and Fast Deep Architecture for Image Classification
Speed Up the Training of Neural Machine Translation
Extraction of Competitive Factors in a Competitor Analysis Using an Explainable Neural Network
Multi-step Transfer Learning in Natural Language Processing for the Health Domain
Application of Supervised Machine Learning Methods on the Multidimensional Knapsack Problem
Synchronizing Chaotic Systems with Uncertain Model and Unknown Interference Using Sliding Mode Control and Wavelet Neural Networks
Discriminant Kernel Learning Using Hybrid Regularization
Multi-Classification by Using Tri-Class SVM
The Metric Structure of Weight Space
Path Capsule Networks
Contrastive Learning with Dynamic Weighting and Jigsaw Augmentation for Brain Tumor Classification in MRI
Robust Exponential Stability for Discrete-Time Quaternion-Valued Neural Networks with Time Delays and Parameter Uncertainties
Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm
Correction to: Modeling Axonal Plasticity in Artificial Neural Networks
Adaptive Multi-layer Contrastive Graph Neural Networks
Multi-agent Architecture for Corporate Operating Performance Assessment
A Novel Matching Operator for Visual Object Tracking
A Relaxation Algorithm for Estimating the Domain of Validity of Feedforward Neural Networks
A Non-invasive Approach to Identify Insulin Resistance with Triglycerides and HDL-c Ratio Using Machine learning
Sampled-Data State Estimation of Neutral Type Neural Networks with Mixed Time-Varying Delays
Dynamic Feature Attention Network for Remote Sensing Image Dehazing
No-reference Video Quality Assessment Based on Spatio-temporal Perception Feature Fusion
Automatic Medical Image Registration Based on an Integrated Method Combining Feature and Area Information
Ill-posed Echo State Network based on L-curve Method for Prediction of Blast Furnace Gas Flow
A People-Counting System Using a Hybrid RBF Neural Network
Superpixels Features Extractor Network (SP-FEN) for Clothing Parsing Enhancement
Selective Embedding with Gated Fusion for 6D Object Pose Estimation
A Chaotic Annealing Neural Network with Gain Sharpening and Its Application to the 0/1 Knapsack Problem
Deep Temporal Conv-LSTM for Activity Recognition
Deep Dual-Stream Network with Scale Context Selection Attention Module for Semantic Segmentation
Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks
On the Performance of new Higher Order Transformation Functions for Highly Efficient Dense Layers
Advances in Artificial Neural Networks and Computational Intelligence - Special Issue of IWANN 2013
Multi-scale Learning for Multimodal Neurophysiological Signals: Gait Pattern Classification as an Example
Asymptotic performances of a constructive algorithm
A Novel Focal Ordinal Loss for Assessment of Knee Osteoarthritis Severity
Information Maximization in a Linear Manifold Topographic Map
An Adaboost Support Vector Machine Based Harris Hawks Optimization Algorithm for Intelligent Quotient Estimation from MRI Images
Interfacing PDM MEMS Microphones with PFM Spiking Systems: Application for Neuromorphic Auditory Sensors
Optimization of Propofol Dose Estimated During Anesthesia Through Artificial Intelligence by Genetic Algorithm: Design and Clinical Assessment
MixNet: A Robust Mixture of Convolutional Neural Networks as Feature Extractors to Detect Stego Images Created by Content-Adaptive Steganography
Stability Analysis on Cohen-Grossberg Neural Networks with Saturated Impulse Inputs
Cost-sensitive Dictionary Learning for Software Defect Prediction
W-FENet: Wavelet-based Fourier-Enhanced Network Model Decomposition for Multivariate Long-Term Time-Series Forecasting
Convergence Analysis of Möller Algorithm for Estimating Minor Component
Cluster Synchronization for Stochastic Coupled Neural Networks with Nonidentical Nodes via Adaptive Pinning Control
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
Associative Memory Design via Path Embedding into a Graph
Approximation of functions by perceptrons: a new approach
Multi-view Representation Induced Kernel Ensemble Support Vector Machine
Finite-Time Synchronization of Fractional-Order Quaternion-Valued Delayed Cohen-Grossberg Neural Networks
Differential Evolution Training Algorithm for Feed Forward Neural Networks
Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error Surfaces
Fixed-Size Objects Encoding for Visual Relationship Detection
Dynamic Goal Tracking for Differential Drive Robot Using Deep Reinforcement Learning
An Improved Neural Network with Random Weights Using Backtracking Search Algorithm
Estimating the Depth of Anesthesia During the Induction by a Novel Adaptive Neuro-Fuzzy Inference System: A Case Study
Learning Feedback Linearization Using Artificial Neural Networks
Multi-geometric Sparse Subspace Clustering
Ant Colony Optimization Inspired Algorithm for 3D Object Segmentation into its Constituent Parts
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
A Polishing Model for Machine-Generated Ancient Chinese Poetry
Consistent Discriminant Correlation Analysis
Improving the Polarity of Text through word2vec Embedding for Primary Classical Arabic Sentiment Analysis
Intuitionistic Fuzzy Proximal Support Vector Machines for Pattern Classification
Deep Convolutional Neural Network Compression Method: Tensor Ring Decomposition with Variational Bayesian Approach
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches
Stability of Reaction-Diffusion Recurrent Neural Networks with Distributed Delays and Neumann Boundary Conditions on Time Scales
New Results on Finite/Fixed-Time Stabilization of Stochastic Second-Order Neutral-Type Neural Networks with Mixed Delays
A Finite-Time Convergent Neural Network for Solving Time-Varying Linear Equations with Inequality Constraints Applied to Redundant Manipulator
Learning the Graph Edit Costs Based on a Learning Model Applied to Sub-optimal Graph Matching
Correlated Initialization for Correlated Data
Global Output Convergence of a Class of Recurrent Delayed Neural Networks with Discontinuous Neuron Activations
Global Exponential Stability and Global Convergence in Finite Time of Neural Networks with Discontinuous Activations
Observer-based Adaptive Funnel Dynamic Surface Control for Nonlinear Systems with Unknown Control Coefficients and Hysteresis Input
EFRNet: Efficient Feature Reuse Network for Real-time Semantic Segmentation
A Clustering Pruning Method Based on Multidimensional Channel Information
Translation Invariance in the Polynomial Kernel Space and Its Applications in kNN Classification
Neural Block Control via Integrator Backstepping for a Robotic Arm in Real-Time
Prescribed-Time Synchronization of Coupled Memristive Neural Networks with Heterogeneous Impulsive Effects
SRK-Augment: A self-replacement and discriminative region keeping augmentation scheme for better classification
A New Relaxation Procedure in the Hopfield Network for Solving Optimization Problems
Design of Controllers for Finite-Time Robust Stabilization of Inertial Delayed Neural Networks with External Disturbances
Feature-Based Learning in Drug Prescription System for Medical Clinics
Synchronization Analysis of Multi-Order Fractional Neural Networks Via Continuous and Quantized Controls
Toward a Cluttered Environment for Learning-Based Multi-Scale Overhead Ground Wire Recognition
Passivity Analysis of Stochastic Memristor-Based Complex-Valued Recurrent Neural Networks with Mixed Time-Varying Delays
A Feature Selection Method Using Conditional Correlation Dispersion and Redundancy Analysis
Long Short Term Memory Based Self Tuning Regulator Design for Nonlinear Systems
Automatic Classification of Biological Particles from Electron-microscopy Images Using Conventional and Genetic-algorithm Optimized Learning Vector Quantization
Stack-based Scale-recurrent Network for Face Image Deblurring
Multi-attribute Graph Convolution Network for Regional Traffic Flow Prediction
Handwritten Digit Recognition by a Mixture of Local Principal Component Analysis
Completion-Attention Ladder Network for Few-Shot Underwater Acoustic Recognition
aiTPR: Attribute Interaction-Tensor Product Representation for Image Caption
Multi-decoding Network with Attention Learning for Edge Detection