yusuke1997/dblp-id-title huggingface dataset:
Differential evolution and meta-learning for dynamic ensemble of neural network classifiers
Recognizing Human Emotion from Partial Facial Features
Prediction of nonlinear dynamical system output with multilayer perceptron and radial basis function neural networks
A new technique for optimizing and smoothing randomized paths
Prediction of histologic grade in breast cancer using an artificial neural network
Stochastic Adversarial Learning for Domain Adaptation
A method for selective color images compression
Type-2 Fuzzy Systems for Improving Training Data and Decision Making in Modular Neural Networks for Image Recognition
A competitive network for multi-object selection
Effect of neural network input span on phoneme classification
Hierarchical Federated Learning in MEC Networks with Knowledge Distillation
SimDet: Cross Similarity Attention for One-shot Object Detection
Multi-granularity Autonomous Intelligent Method for Operation Optimization of Integrated Coal Mine Energy Systems
Classification of Storm Events Using a Fuzzy Encoded Multilayer Perceptron
Using unreliable data for creating more reliable online learners
Automatic Job Safety Report Generation using RAG-based LLMs
Parallel incremental SVM for classifying million images with very high-dimensional signatures into thousand classes
Kernel ridge regression classification
Computational models of emotion
An architecture for an adaptive associative memory system based on autonomous reactions between images
Towards Explainable Skin Cancer Diagnosis: A Vision Transformer Approach with Grad-CAM Visualization
A Hierarchical Generative Model for Overcomplete Topographic Representations in Natural Images
On the design of an ellipsoid ARTMAP classifier within the fuzzy adaptive system ART framework
The rule-extraction through the preimage analysis
Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data
Clustering iOS executable using self-organizing maps
DPFN: Dual-Path Fusion Network for Lightweight Single Image Super-Resolution
Structure and Randomness in Planning and Reinforcement Learning
Genome-wide germline single nucleotide polymorphisms for cancer classification in the Framingham Heart Study
Locally interconnected layered neural network for path optimization
MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting
Self-Organizing Maps of Massive Document Collections
Boosting the Transferability of Adversarial Examples via Adaptive Attention and Gradient Purification Methods
Integrating Cognitive Processing Signals into Language Models: A Review of Advances, Applications and Future Directions
Supervised classification via constrained subspace and tensor sparse representation
Predicting the future with the appropriate embedding dimension and time lag
The McCulloch-Pitts model
A two-stage community search method based on seed replacement and joint random walk
Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network
MMI-based training for a probabilistic neural network
Application of Bayesian neural network in electrical impedance tomography
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation
DRL-BPSD: Deep Reinforcement Learning-Enhanced Blockchain Phishing Scam Detection Method
Learning using privileged information (LUPI) for modeling survival data
Multi-topographic neural network communication and generalization for multi-viewpoint analysis
From ranking and clustering of evolving networks to patent citation analysis
An Auto Encoder For Audio Dolphin Communication
Neural controller for PTZ cameras based on nonpanoramic foreground detection
Self organising neural place codes for vision based robot navigation
Scene Image Classification Based on Improved VLAD Reprensentation
An empirical comparison of individual machine learning techniques and ensemble approaches in protein structural class prediction
MOA-Net: Multilevel Object Aware Network for Remote Sensing Image Semantic Segmentation
An Unsupervised Domain Adaptation Being Aware of Domain-specific and Label Information
A Mixed Parallel Perceptron Classifier and Several Application problems
A self-organizing radial basis function network combined with ART II
Using latent attractors to discern temporal order
Direction-basis-function neural networks
Asymmetric Spatial Pattern for EEG-based emotion detection
Multi-Granularity Dual-Aware Contrastive Learning for Few-shot Named Entity Recognition
AppFineGraph: Hierarchical Mobile Encrypted Traffic Classification at Multi-Granularities via a Branch Graph Neural Network
Towards Real-time Video Content Detection in Resource Constrained Devices
Hierarchical Multi-Task Learning for Healthy Drink Classification
A novel intelligent system for speech recognition
On the Use of Aggregation Functions for Semi-Supervised Network Embedding
Neural network based finite horizon optimal control for a class of nonlinear systems with state delay and control constraints
NanoHydra: Energy-Efficient Time-Series Classification at the Edge
RegionSparse: Leveraging Sparse Coding and Object Localization to Counter Adversarial Attacks
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video Face Recognition
On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition
Deep Tree Echo State Networks
Label Distribution Learning Based on Square Root Pearson
Anomaly Detection for Visual Quality Control of 3D-Printed Products
Text clustering with NTSO (neural text self organizer)
Mental non-motor imagery tasks classifications of brain computer interface for wheelchair commands using genetic algorithm-based neural network
Integrating a Flexible Representation Machinery in a Model of Human Concept Learning
Remote Sensing Image Object Detection by Fusing Multi-Scale Contextual Features and Channel Enhancement
A Developer Recommendation Method Based on Code Quality
Large-scale image classification using fast SVM with deep quasi-linear kernel
Rule induction based on an incremental rough set
Fixed-Weight learning Neural Networks on Optical Hardware
L-Yolov5: A multi-scale channel attention-based method for real-time safety helmet detection of electrical construction workers
Applying neural networks to determine vibration parameters in a turbine
Explicit feature mapping via multi-layer perceptron and its application to Mine-Like Objects detection
Learning multiple correct classifications from incomplete data using weakened implicit negatives
Gödel vs. aristotle: Algorithmic complexity, models of the Mind, and top representations
An hierarchical approach towards road image segmentation
Multi-Scale Depth-Aware Unsupervised Domain Adaption in Semantic Segmentation
SF-MVSNet: Siamese-like Fusion For Multi-View Stereo
Adaptive Spatio-Temporal Graph Convolutional Neural Network for Remaining Useful Life Estimation
Multi-instance graphical transfer clustering for traffic data learning
Putting more brain-like intelligence into the electric power grid: What we need and how to do it
Impact of ratio k on two-layer neural networks with dynamic optimal learning rate
Improvement of the reliability of bank note classifier machines
State-space control of nonlinear systems identified by ANARX and Neural Network based SANARX models
Memory encoding of object relocation in a hierarchical associative network with theta phase coding
Learning Characteristics of Reverse Quaternion Neural Network
A Transformer-based Knowledge Graph Embedding Model Combining Graph Paths and Local Neighborhood
A Texture-Based Neural Network Classifier for Biometric Identification using Ocular Surface Vasculature
Person re-identification based on deep spatio-temporal features and transfer learning
Inverse system identification of nonlinear systems using least square support vector machine based on FCM clustering
SSR-RAG: A smart Retrieval-Augmented Generation Framework with Rollback Mechanisms for Safer and More Accurate Answers
Vertebra shape classification using MLP for content-based image retrieval
Face recognition improvement with distortions of images in training set
A Study on the Effectiveness of GPT-4V in Classifying Driver Behavior Captured on Video Using Just a Few Frames per Video
Parallel genetic algorithms for optimization of Modular Neural Networks in pattern recognition
CourseLRec: Leveraging Large Language Models for Personalized Course Recommendations
A New Particle Competition Model for Community Detection with Application in Functional Brain Networks
Parametric model-based anomaly detection for locomotive subsystems
Stability of direct heuristic dynamic programming for nonlinear tracking control using PID neural network
Model Selection in an Ensemble Framework
An Analog Vision Chip Applicable to Real-Time Image Processings in Indoor Illumination
The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation
Theory of functional systems, adaptive critics and neural networks
Natural gradient based blind multi user detection in QPSK DS-CDMA system
Object oriented approach to combined learning of decision tree and ADF GP
Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation
Greedy rule generation from discrete data and its use in neural network rule extraction
AdaBoost with Neural Networks for Yield and Protein Prediction in Precision Agriculture
Ranked centroid projection: a data visualization approach for self-organizing maps
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification
Trimmed affine projection algorithms
A deep learning framework based on U-shaped networks with multi-scale feature perception and attention for retinal vessel segmentation
Uncertainty-Guided Curriculum Design: robust policy learning with adversarial environment
Learning to Rank by Maximizing AUC with Linear Programming
Analysis and Learning of Capsule Networks Robust for Small Image Deformation
The generalized eigen-decomposition approach to blind source problems
Nonlinear methods for clustering and reduction of dimensionality
TPC-NAS for ViTs: A Systematic Approach to Improve Vision Transformer Performance with Total Path Count
On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay
Deciphering the contributions of episodic and working memories in increasingly complex decision tasks
Domain-Aware Federated Social Bot Detection with Multi-Relational Graph Neural Networks
Sliding Hierarchical Recurrent Neural Networks for Sequence Classification
Generic Application of Deep Learning Framework for Real-Time Engineering Data Analysis
Response learning
Neocortical frame-free vision sensing and processing through scalable Spiking ConvNet hardware
Power system state evaluation by structured neural network
Neural networks with chaotic recursive nodes: design of associative memories, performance analysis, and contrast with traditional Hopfield architectures
A new approach for fuzzy feature extraction based on pixel's brightness
Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning
Label Distribution Learning by Mining Local Label Correlations in Self-regulating Clusters Independent of Sample Distance
Enhancing Aspect Category Sentiment Analysis for Skier Satisfaction Evaluation: Leveraging Semantic Knowledge in Aspect Labels
Optimization of Task Offloading Strategy based on Lyapunov and Deep Reinforcement Learning in Multi MEC Systems
Modular adaptive RBF-type neural networks for letter recognition
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor
An emergent attractors model for idea generation process
Improving kNN classification under Unbalanced Data. A New Geometric Oversampling Approach
Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures
SRVul: A High-Quality Self-Restrained Vulnerable Code Dataset for Vulnerability Detection
An Improved Spray and Wait Algorithm Based on Q-learning in Delay Tolerant Network
RefBERT: Compressing BERT by Referencing to Pre-computed Representations
Generalized Alignment for Multimodal Physiological Signal Learning
Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates
Function approximation for large markov decision processes using self-organizing neural networks
Periodic and partly periodic oscillation in Hopfield recurrent neural networks with time-varying input and delays
Characterization of the temporal pattern of cerebral blood flow oscillations
A Brain-Computer Interface for classifying EEG correlates of chronic mental stress
Robust Support Vector Machine
Ensemble of classifiers based incremental learning with dynamic voting weight update
SVM+ regression and multi-task learning
A hierarchical approach to represent relational data applied to clustering tasks
Psychological Effects of Compliment Expressions by Communication Robots on Humans
Reinforcement learning based adaptive rate control for delay-constrained communications over fading channels
YOLO and Morphing-based Method for 3D Individualised Bone Model Creation
A cognitive fault-detection design architecture
Neural networks for computing invariant clustering of a large open set of DNA-PCR-primers generated by a feature-knowledge based system
Image segmentation based on motion/luminance integration and oscillatory correlation
Research on Community Search Based on Representation Learning and Latent Relationships
Patterns, Hypergraphs and Embodied General Intelligence
Optimisation of network structure using genetic techniques
Digital Camera Representations for Forensic Identification
Sequential Data Imputation with Evolving Generative Adversarial Networks
Predicting Physical Object Properties from Video
Computational Effects of Free-Flowing Ion Concentrations in Spiking Neural Networks
Higher-order Semantic-aware Adaptive Graph Contrastive Learning
LBurst: Learning-Based Burst Features for Low-Light 3D Reconstruction
Efficient algorithm for training neural networks with one hidden layer
MSFF-SNet: An End-to-end Object Sorting Model with Multi-head Self-attention and Multi-scale Feature Fusion
Group buying in social coupon: Myths or facts
Improving Speaker Identification Rate Using Fractals
Video-Based Disguise Face Recognition Based on Deep Spiking Neural Network
Fault-tolerant PLA-style circuit design for failure-prone nanometer CMOS and quantum device technologies
Learning Arithmetic Operations With A Multistep Deep Learning
Ind-MSA: Bridging the Linguistic Gap for Inductive Multilingual Sentiment Analysis with Graph Neural Networks
Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels
FG-UAP: Feature-Gathering Universal Adversarial Perturbation
Metamodeling for large-scale optimization tasks based on object networks
Adaptive fuzzy Kohonen clustering network for image segmentation
DL-PRO: A novel deep learning method for protein model quality assessment
Bayesian network scores based text localization in scene images
Deep Self-Organizing Map for visual classification
TriAnomalyNet: A Microservice Anomaly Detection Model Based on Multi-Stream Encoders
Brownian motion theory as a physical foundation for feedback neural networks
Learning relationships between audio signals based on reservoir networks
Unsupervised multimodal feature learning for semantic image segmentation
Using regularized fisher discriminant analysis to improve the performance of Gaussian supervector in session and device identification
Piecewise Wiener filter model based on fuzzy partition of local wavelet features for image restoration
Assembling neural networks for modelling of large nonlinear dynamic systems
A Fast Feature Extraction Algorithm for Image and Video Processing
Imbalanced pattern recognition: Concepts and evaluations
Koopformer: Robust Multivariate Long-Term Prediction via Mixed Koopman Neural Operator and Spatial-Temporal Transformer
Enhancement of categorizing and learning module (CALM) - embedded detection of signal change
Technique of Learning Rate Estimation for Efficient Training of MLP
Supervised learning in Spiking Neural Networks with limited precision: SNN/LP
Water Inflow Forecasting using the Echo State Network: a Brazilian Case Study
Modeling nonsynaptic communication between neurons in the lamina ganglionaris of Musca domestica
Dynamic logic of phenomena and cognition
Ring Reservoir Neural Networks for Graphs
Dynamic coordination of multi-robots by Bayesian modeling
Real-time Night Surveillance Video Retrieval through Calibrated Denoising and Super-resolution
Cluster-based Curriculum Learning for Vision-and-Language Navigation
Learning Latent Variable for Logical Reasoning in Table-Based Fact Verification
A root location training method for polynomial cellular neural networks that implements totalistic cellular automata
Adaptive problem decomposition in cooperative coevolution of recurrent networks for time series prediction
A Model of Human Category Learning with Dynamic Multi-Objective Hypotheses Testing with Retrospective Verifications
Adaptive Weight Learning with PSO for Filter Pruning in Deep Learning Models
House Layout Generation via Diffusion Model with Relative Room Area Ranking
Adaptive Missing Data Imputation with Incremental Neuro-Fuzzy Gaussian Mixture Network (INFGMN)
Near-optimal online control of uncertain nonlinear continuous-time systems based on concurrent learning
An FPGA-based SOM circuit architecture for online learning of 64-QAM data streams
MVBMR: Multi-View Breast Mass Recognition Network
Modeling melody recognition using a sequence recognition neural network with meta-level processes
Bone fracture healing assessment using a neural network
Characterization of climatic variations in Spain at the regional scale: A computational intelligence approach
Long-term forecasting in financial stock market using accelerated LMA on neuro-fuzzy structure and additional fuzzy C-Means clustering for optimizing the GMFs
A Self-Organizing Modular Neural Network for Nonlinear System Modeling
Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning
Development of a mix-design based Rapid Chloride Permeability assessment model using neuronets
Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection
Enhancing Spatial-Temporal Neural Networks with Long-Term Temporal Features for Traffic Prediction
IC-CViT: Inverse-Consistent Convolutional Vision Transformer for Diffeomorphic Image Registration
Sharing deep generative representation for perceived image reconstruction from human brain activity
DccGraph: Detecting Criminal Communities with Augmented Criminal Network Construction and Graph Neural Network
Bi-Causal Recurrent Cascade Correlation
Discovering Frequent Closed Episodes from an event sequence
Automatic translation of constraints for solving optimization problems by neural networks
Forecasting Economic Time Series Using Modular Neural Networks and the Fuzzy Sugeno Integral as Response Integration Method
Muscle Vectors as Temporally Dense "Labels"
Recurrently connected silicon neurons with active dendrites for one-shot learning
Protein fold class prediction using neural networks with tailored early-stopping
Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection
Connectivity graphs and the performance of sparse associative memory models
Detection of Electric Component Based on Improved Faster-RCNN
Predictive Random Graph Ranking on the Web
SA-MPF: A Status-Aware Mask Prediction Framework for Online Disease Diagnosis
partial-FORCE: A fast and robust online training method for recurrent neural networks
Joint Action Language Modelling for Transparent Policy Execution
Factors of overtraining with fuzzy ARTMAP neural networks
MLMVN as an intelligent image filter
Multi-modal Sign Language Recognition with Enhanced Spatiotemporal Representation
An instantaneous topological mapping model for correlated stimuli
DCTF: Data Complementary Training Framework for Unsupervised Domain Adaptive Person Re-Identification
A Neural Network Approach to Hyphenating Norwegian
A novel application of Hoeffding's inequality to decision trees construction for data streams
Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator
Are Horses Always Strong and Donkeys Dumb? Animal Bias in Vision Language Models
Every Hop Etched in Memory: Tokenized Graph Mamba Meets Directed Graph Learning
Fast deep neural network based on intelligent dropout and layer skipping
Socrates-D 2.0: A Low Power High Throughput Architecture for Deep Network Training
MATN: Multi-model Attention Network for Gait Prediction from EEG
Self-learning recursive neural networks for structured data classification
The Exchange Monte Carlo Method for Bayesian Learning in Singular Learning Machines
Recurrent Autoassociative Networks and Holistic Computations
Biological information fusion using a PCNN and belief filtering
Brain Melody Informatics: Analysing Effects of Music on Brainwave Patterns
SBN: Scale Balance Network for Accurate Salient Object Detection
SigD: A Cross-Session Dataset for PPG-based User Authentication in Different Demographic Groups
Using GNG on 3D Object Recognition in Noisy RGB-D data
Model Selection and Assessment Using Cross-indexing
Verification-friendly Networks: the Case for Parametric ReLUs
Collaborative Multi-View Attributed Networks Mining
Application of Extreme Learning Machines and Echo State Networks to Seismic Multiple Removal
A time-based self-organising model for document clustering
Evolutionary programming for training neural networks
An Empirical Analysis of Vision Transformers Robustness to Spurious Correlations in Health Data
Hybrid Clustering Solutions Fusion based on Gated Three-way Decision
Organization Component Analysis: The method for extracting insights from the shape of cluster
A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases
Evaluation of Generative Adversarial Networks for Time Series Data
Rate of synchrony in locally coupled chains of relaxation oscillators
Transductive support vector machines for classification of microarray gene expression data
On intrinsic generalization of low dimensional representations of images for recognition
Intelligent vehicle power management through neural learning
Knowledge representation and acquisition for large-scale semantic memory
Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series
Bio-DETR: A Transformer-based Network for Pest and Seed Detection with Hyperspectral Images
A disagreement-based active matrix completion approach with provable guarantee
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics
Association Learning based Hybrid Model for Cloud Workload Prediction
Evolving high capacity associative memories with efficient wiring
Mahalanobis distance metric learning algorithm for instance-based data stream classification
Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term
Continuous on-line identification of nonlinear plants in power systems with missing sensor measurements
Small-World Model of Associative Memory
Detecting Communities in Networks Using Competitive Hopfield Neural Network
A new evaluation measure for learning from imbalanced data
Cross-Document Fact Verification Based on Evidential Graph Attention Network
Multimodal Rumor Detection via Multimodal Prompt Learning
Influences of target discrimination capability on hand tracking
On the memory properties of recurrent neural models
DGAN-TRL: Deep Graph Attention Network Based Trajectory Representation Learning
Image restoration using L1-norm regularization and a gradient-based neural network with discontinuous activation functions
Adaptive Multi-Level Firing for Direct Training Deep Spiking Neural Networks
Nonlinear cluster transformations for increasing pattern separability
AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition