yusuke1997/dblp-id-title huggingface dataset:
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction
Verification of fraudulent PIN holders by brain waves
Real-time Trajectory Tracking of a Quadrotor using Adaptive Backstepping Controller and RNN based Uncertainty Observer
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis
Semi-Autonomous Neural Networks Differential Equation Solver
A novel dual heuristic programming based optimal control of a series compensator in the electric power transmission system
A neural-fuzzy controller with heterogeneous neurons
Information Fusion and Situation Awareness using ARTMAP and Partially Observable Markov Decision Processes
An Ensemble Generation Method Based on Instance Hardness
Analysis and improvement of multiple optimal learning factors for feed-forward networks
High performance spike detection and sorting using neural waveform phase information and SOM clustering
TaDFusion: Infrared and Visible Image Fusion Network Based on The Target Detection Task-driven Method
Facial Expression Recognition with Age-Group Expression Feature Learning
Negative reinforcement and backtrack-points for recurrent neural networks for cost-based abduction
A Multi-task Network with Centerline Supervision for 3D Pelvis Artery Segmentation on CECT images
Associative neural networks as means for low-resolution video-based recognition
A Transformer Model Incorporating Dynamic Chunking Strategy for Multivariate Time Series Classification
Classification of coma etiology using convolutional neural networks and long-short term memory networks
Instance Tumor Segmentation using Multitask Convolutional Neural Network
Novel backpropagation algorithm for reduction of hidden units and acceleration of convergence using artificial selection
A spatial cognition model integrating grid cells and place cells
Fusion of Current and Historical Knowledge for Personalized Federated Learning
A reliable method for recognition of paper currency by approach to local PCA
Bayesian Graph Convolutional Neural Network based Patent Valuation Model
A theory of the brain - the brain uses both distributed and localist (symbolic) representation
Neural Network Algorithm Controlling a Hexapod Platform
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction
Online learning for anomaly detection via subdivisible convex hulls
Towards Efficient Pruning and Multi-Scale Feature Transformations to Uncover Medical Diseases
Attention-Based Graph Neural Network for News Recommendation
Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population
Query expansion for exploratory search with subtopic discovery in Community Question Answering
Session-based Recommendation with Heterogeneous Graph Neural Networks
Legal Document-Based, Domain-Driven Q&A System: LLMs in Perspective
Matrix Factorization with Dynamic Multi-view Clustering for Recommender System
Improving Multileaf Collimator Segment Predictions by Neural Networks with Well-Conditioned Data
TPOT-Clustering
Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification
Automatic Image Labeling with Click Supervision on Aerial Images
EmoAssist: Emotional Assistant for Visual Impairment Community
Generic bi-layered net of the "functional nodes" in process modeling
Aggregation of Reinforcement Learning Algorithms
Relative Gradient Learning for Independent Subspace Analysis
Learning to rank relational objects based on the listwise approach
A modified error-correction learning rule for multilayer neural network with multi-valued neurons
Neural network model for analyzing optic flow
Neural Networks for Lung Cancer Detection through Radiomic Features
Layerwise Approximate Inference for Bayesian Uncertainty Estimates on Deep Neural Networks
SCS-VAE: Generate Style Headlines Via Novel Disentanglement
On-chip contrastive divergence learning in analogue VLSI
A Neural Network Approach to Maximum Likelihood Estimation for Eddy-Current Back-Scattering NDE Data Inversion
Tracking gestures using a probabilistic Self-Organising network
Extracting the knowledge embedded in support vector machines
Dynamic Gesture Recognition Using a Spatio-Temporal Adaptive Multiscale Convolutional Transformer Network
Feature-Based Classification of Prostate Ultrasound Images using Multiwavelet and Kernel Support Vector Machines
Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting
Data-point and feature selection of motor imagery EEG signals for neural classification of cognitive tasks in car-driving
WPNet: Wide Pyramid Network for Recognition of HER2 Expression Levels in Breast Cancer Evaluation
Author Disambiguation through Adversarial Network Representation Learning
Weighted Adaptive Clustering Attention for Efficient Image Super-Resolution
Color image segmentation using rival penalized controlled competitive learning
Discourse Parsing on Multi-Granularity Interaction
Complex-valued multistate associative memory with nonlinear multilevel functions for gray-level image reconstruction
The benefits of synthetic data for action categorization
DCF-Net: A Dual-Coding Fusion Network based on CNN and Transformer for Biomedical Image Segmentation
A PARTAN-accelerated Frank-Wolfe algorithm for large-scale SVM classification
Power system security evaluation using ANN: feature selection using divergence
A language-independent hybrid approach for multi-word expression extraction
A variational Bayesian method for rectified factor analysis
Non-negative sparse coding for motion extraction
Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm
On improving recurrent neural network for image classification
Decorrelating parametrical neural network
Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression
Ncfm: Accurate handwritten digits recognition using Convolutional Neural Networks
Genetic Imitation Learning by Reward Extrapolation
Traffic signal optimization using Ant Colony Algorithm
A Unified Multimodal Multi-Granularity Pre-Training Framework for Fine-Grained Medical Image Analysis
An Answer Driven Model For Paragraph-level Question Generation
Hidden Design Principles in Zero-Cost Performance Predictors for Neural Architecture Search
Long-Term Prediction of Small Time-Series Data Using Generalized Distillation
Reservoir Computing optimization with a hybrid method
Self-supervised scale and affine invariant network for image corner detection and description
One-shot Training of Polynomial Cellular Neural Networks and applications in image processing
GNG-SVM framework - classifying large datasets with Support Vector Machines using Growing Neural Gas
Improved Compression of Artificial Neural Networks through Curvature-Aware Training
A location-independent direct link neuromorphic interface
Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction
A new algorithm for graph mining
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification
Formation Control with Collision Avoidance through Deep Reinforcement Learning
Adversarial Action Data Augmentation for Similar Gesture Action Recognition
A Causal Stacking Hidden Markov Model for Time Series Forecasting
Shortcut Detection With Variational Autoencoders
An Indirect Adaptive Neural Control of Nonlinear Plants
A comparison of radial basis function networks and fuzzy neural logic networks for autonomous star recognition
Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering
Implicit de-noising in hybrid recurrent nets for meta knowledge abduction
Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification
A traffic sign detection pipeline based on interest region extraction
Preliminary Results on Noise Detection and Data Selection for Vector Quantization
Intragroup sparsity for efficient inference
Spatial Event Prediction via Multivariate Time Series Analysis of Neighboring Social Units using Deep Neural Networks
Numerical solution of elliptic partial differential equation by growing radial basis function neural networks
Adaptive-critic-based control of a synchronous generator in a power system using biologically inspired artificial neural networks
Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression
Exploring Multi-aspect Information for Knowledge Graph Completion with Large Language Model
Measuring sleep quality from EEG with machine learning approaches
Scene Text Image Super-Resolution via Content Perceptual Loss and Criss-Cross Transformer Blocks
Multi-depth transfer learning-based approaches via generative models for foveal avascular zone segmentation in OCTA images
A modified sparse distributed memory model for extracting clean patterns from noisy inputs
Tension identification of two-motor system based on neural network left-inverse
GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effects
PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination
Dynamic island model based on spectral clustering in genetic algorithm
Variance Stabilizing Regression Ensembles for Environmental Models
An Improved Remote Sensing Object Detection Model Based on YOLOv8s
Time coding output neurons in digital artificial neural networks
Structural hierarchies, theta rhythm, hippocampal function
Label-Free Topic-Focused Summarization Using Query Augmentation
On evaluating the online local pool generation method for imbalance learning
Non-singular Terminal sliding mode control for landing on asteroids based on RBF neural network
Hy-Deft: A Hybrid Defense Technique for Vision Transformers against Adversarial Attacks in Medical Imaging
Comparison of an efficient direct storage BAM model with traditional neural bidirectional memories
Feature selection for intrusion detection: an evolutionary wrapper approach
DHA: Lidar and Vision data Fusion-based On Road Object Classifier
Mining Oriented Information for Semi-Supervised Object Detection in Remote Sensing Images
TurboLog: A Turbocharged Lossless Compression Method for System Logs via Transformer
Neural network estimation of photovoltaic I-V curves under partially shaded conditions
Feature Selection via Mutual Information: New Theoretical Insights
Less is more: Low-precision feature selection for wearables
Saliency Time-Series Anomaly Detection Service for AIOps
Artificial Swarm Intelligence vs human experts
SFMM: Semantic-to-Frame Matching with Multi-Classifier for Few-shot Action Recognition
Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering
Accelerating Learning in multi-objective systems through Transfer Learning
Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss
Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines
Study of XAI-capabilities for early diagnosis of plant drought
Is Translation Helpful? An Exploration of Cross-Lingual Transfer in Low-Resource Dialog Generation
Visual Transformer for Resilience to Adversarial Attacks in OCT Retinal Images
Power Normalized Cepstral Coefficients based supervectors and i-vectors for small vocabulary speech recognition
Intent-Aware Graph Neural Networks for Session-based Recommendation
Multi-Label Learning with Missing Labels via Common and Label-Specific Features
Computational implications of microcircuit specializations in forebrain circuits for motivated action selection
Exploring the impact of zero-cost proxies for Hybrid Vision Transformers
3DSEAVNet: 3D-Squeeze-and-Excitation Networks for Audio-Visual Saliency Prediction
Pre-training Language Model for Mongolian with Agglutinative Linguistic Knowledge Injection
A neuron-output-significant-index-based self-organization pruning algorithm for S-LINN
Towards More Effective Statute Retrieval for Non-Professionals: A Comparative Study of Generation-Augmented Retrieval Strategies with LLMs
The role of the quaternion Fourier descriptors for preprocessing in neuralcomputing
An FPGA Implementation of a Competitive Hopfield Neural Network for Use in Histogram Equalization
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
An enhanced dominant sets clustering method
Sleep stages classification based on temporal pattern recognition in neural network approach
Improving Conversational Recommendation Systems through Analysis of Biased User History Samples
A Model for COVID-19 Prediction Based on Spatio-temporal Convolutional Network
Three-step DTZNN algorithm for time-varying linear matrix inequality solving
Optical flame detection using large-scale artificial neural networks
Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites
Efficient single image dehazing via scene-adaptive segmentation and improved dark channel model
Adaptive Activation Network for Low Resource Multilingual Speech Recognition
Flexible Source-free Domain Generalization via Domain Prompt-Discriminator Collaborative Learning
Architectural distortion detection from mammograms using support vector machine
An investigation into the use of subspace methods for face detection
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network
Non-Intrusive Appliance Load Monitoring in an Intelligent Device at the Edge layer
Polyp-GSAM: A Graph Attention-Guided Hybrid SAM Architecture Model for Precise Polyp Segmentation
Automatic factorization of biological signals by using Boltzmann non-negative matrix factorization
Enhancing Long-Tailed Recognition with Skill-specialized Experts and Bootstrap Latent Consistency
TBAC: Transformers Based Attention Consensus for Human Activity Recognition
Batch self-organizing maps for mixed feature-type symbolic data
Identifying Health Inequalities Using Artificial Neural Networks (WHO Data)
End-to-end spoofing speech detection and knowledge distillation under noisy conditions
Sensor characterization for supporting de-noising and auto-calibration of sensor data
On the use of hybrid neural networks and non-linear invariants for prediction of electrocardiograms
Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results
LCINet: Local Cross-position Interaction Network for Oracle Bone Inscriptions Recognition
Independent subspace analysis shows emergence of phase and shift invariant features from natural images
R-Net: Robustness Enhanced Financial Time-Series Prediction with Differential Privacy
Orienting learning by exploiting sociality: An evolutionary robotics simulation
Spin torque nano-oscillator based Oscillatory Neural Network
Independent component analysis and neural approaches to the extraction of features from NDT/NDE
Mel-frequency cepstrum coefficients extraction from infant cry for classification of normal and pathological cry with feed-forward neural networks
SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields
Recognition system for EMG signals by using non-negative matrix factorization
SO-PERM: Pose Estimation and Robust Measurement for Small Objects
Independent Component Analysis of Body Surface Potential Mapping Recordings with Atrial Fibrillation
Intelligent integral backstepping sliding mode control using recurrent neural network for magnetic levitation system
A Heterogeneous Graph and Multi-Feature Fusion Based Framework for Smart Contract Vulnerability Detection
Design of the Self-Constructing Fuzzy Neural Network controller for a sliding door system
Three new ZNN models with economical dimension and exponential convergence for real-time solution of moore-penrose pseudoinverse
Nearest Neighbor Distributions for imbalanced classification
Ternary multiway switch and its implementation by neuron-like element
Complex situation modeling in distributed sensor networks
The adaptable buffer algorithm for high quantile estimation in non-stationary data streams
Do Adversarial Perturbations Truly Mitigate Gradient Inversion in Federated Learning?
Echo-state conditional variational autoencoder for anomaly detection
On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers
Brazilian Soil Bulk Density Prediction Based on a Committee of Neural Regressors
Multi-scale Harmonic Mean Time Surfaces for Event-based Object Classification
The Low-rank Double-scale Convolutional Neural Network for Parameter Identification of DC Bus Capacitor in Smart Transformer
A Graph-based U-Net Model for Predicting Traffic in unseen Cities
Adaptive density estimation based on self-organizing incremental neural network using Gaussian process
Debiasing Event Causality Identification in Large Language Models via Back-Door Adjustment
MILES: Modality-Informed Learning Rate Scheduler for Balancing Multimodal Learning
Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm
Parallel self-organization map using multiple stimuli
Compressed representation learning for fluid field reconstruction from sparse sensor observations
Efficient on-line learning with diagonal approximation of loss function Hessian
Personalized Digital Customer Services for Consumer Banking Call Centre using Neural Networks
Exploring Data Preprocessing and Machine Learning Methods for Forecasting Worldwide Fertilizers Consumption
Anti-swing control for overhead crane with neural compensation
Multimedia recommendation system using Adaptive Resonance Theory neural model for digital storytelling
Scale Invariant Feature Transform Flow trajectory approach with applications to human action recognition
Temporal neural networks for downscaling climate variability and extremes
Dual-Branch Knowledge Distillation for Long-Tailed Recognition
Mask Region-oriented Diabetic Retinopathies Detection in Ophthalmic Medical Images via Non-local Attention
Hybrid algorithms of multi-agent control of mobile robots
A Novel Blending Hilbert -Kolmogorov Approach for Epileptic Seizures detection
Spying on chaos-based cryptosystems with reservoir computing
A web-based tool for segmentation and automatic transcription of historical documents
Transductive modeling with GA parameter optimization
Bound Propagation meets Constraint Simplification: Improving Logic-based XAI for Neural Networks
A Simplified Deep Network Architecture on Optic Cup and Disc Segmentation
The Hopfield model and its role in the development of synthetic biology
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
To Join or Not to Join: A Study on the Impact of Joint or Unimodal Representation Learning on Audio-Visual Emotion Recognition
Projected clustering via robust orthogonal least square regression with optimal scaling
Automatic Detection of Violence in Video Scenes
Forecasting the weather of Nevada: A deep learning approach
Multi-Channel Graph Fusion Representation for Tabular Data Imputation
GA-PAT-KNN: Framework for time series forecasting
Use of artificial neural network to help the valuation of football referees' physical fitness
Reservoir Computing-Based Model of Action Planning: Emulating Prefrontal Cortex Functions with Dynamic Synapses and Reward-Based Learning
A computational model for motor learning in insects
Generative System Dynamics in Recurrent Neural Networks
Fuzzy multi-hidden Markov predictor in electric load forecasting
Optimal operation via a recurrent neural network of a wind-solar energy system
Are Bounded Support Vectors Harmful to Stable Classification
Application of a post-processing algorithm for improved human face recognition
MMFF-DDI:An Efficient Multi-Modal Multi-Granularity Feature Fusion Framework for Drug-Drug Interaction Prediction
Confidence-clustering supervised radial basis function neural networks
Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning
Monitoring of distributed parameter systems based on a sensor network and ANFIS
Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction
Summarizing uncertain transaction databases by Probabilistic Tiles
Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering
MMFI-Net: Multilevel Multimodal Feature Injection Network for Infrared and Visible Image Fusion
On the benefits for model regularization of a variational formulation of GTM
Adaptive neural network based power system stabilizer design
Developing Constrained Neural Units Over Time
Performance and features of Multi-Layer Perceptron with impulse glial network
Towards Consistent Predictive Confidence through Fitted Ensembles
Skip The Question You Don't Know: An Embedding Space Approach
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
A Novel Distilled Generative Essay Polish System via Hierarchical Pre-Training
PointMLFF: Robust Point Cloud Analysis Based on Multi-Level Feature Fusion
Regularization Based Classification Models
Towards mining bilingual lexicons and parallel phrases from large-scale monolingual corpora
Addressing Over-Squashing in GNNs with Graph Rewiring and Ordered Neurons
Representation of white- and black-box adversarial examples in deep neural networks and humans: A functional magnetic resonance imaging study
Parallel algorithms for tensor product-based inexact graph matching
Quasi-Newton learning methods for complex-valued neural networks
The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling
Training MLPs layer-by-layer with the information potential
Committee of NAS-based models
Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networks
Face recognition with manifold-based kernel discriminant analysis
Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting
Acquired sensorimotor coordinated signal transformation in a bi-directional neural network model
TNT-Net++: Point Cloud Completion by Transformer in Transformer with Dynamic Seed Generator
Flow estimation using an Elman networks
Predicting public bicycle rental number using multi-source data
A Neural Network Model for Planning Force and Posture in Three-digit Object Holding
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting
A dynamic neural controller for adaptive optimal control of permanent magnet DC motors
Neural circuitry mediating locomotion in C. elegans : molecular correlates of inhibitory motor neurons
xLSRec: xLSTM for Sequential Recommendation
Latent Space Semantic Alignment Network Based on Momentum Contrast for Image-Text Retrieval
Haptic material classification with a multi-channel neural network
Learning spatial navigation using chaotic neural network model
Condela-3: A language for neural networks
Kernel Partial Least-Squares Regression
A genetic-based approach to features selection for ensembles using a hybrid and adaptive fitness function
Spatio-Temporal Action Detector with Self-Attention
Dynamic Multi-Source Domain Transfer Learning for Robust Ultra-Short-Term Wind Power Forecasting with Echo State Networks
An Artificial Bee Colony Algorithm Based On Neighborhood Search For Portfolio Optimization
Event - Driven Tactile Learning with Location Spiking Neurons
Forms of adapting patterns to Hopfield neural networks with larger number of nodes and higher storage capacity
Understanding presumption system from facial images
A neurocomputational model implemented on humanoid robot for learning action selection
Discrete Structure Aggregation and Global-region Query-located Network for Fine-grained Visual Classification
Implicit Neural Alignment Network for Arbitrary-scale Space-Time Video Super-Resolution
DeBUGCN - Detecting Backdoors in CNNs Using Graph Convolutional Networks
HIV-1 Protease Cleavage Site Prediction using Stacked Autoencoder with Ensemble of Classifiers
Enhancing Branching Policy Generalization through Self-Supervised Adversarial Instance Augmentation