yusuke1997/dblp-id-title huggingface dataset:
H2C-Scheduler: An Efficient and Scalable Job Scheduling Method for Hybrid Heterogeneous AI Computing Clusters
Cluster Analysis using Growing Neural Gas and Graph Partitioning
Max-dependence regression
Convergence of Kohonen's learning vector quantization
Classification of Infrasound Surf Events Using Parallel Neural Network Banks
Cortical aperiodic shutter enabling phase transitions at theta rates
A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction
Refining and adaption: multi-modal learning in wear debris analysis
Multiple Back Propagation Network and Metric Fusion for Person Re-identification
Synchronous Weight Quantization-Compression for Low-Bit Quantized Neural Network
A Mobile Application for Speed Bump Sign Detection Using Neural Networks
The Phenomenon of Correlated Representations in Contrastive Learning
GPU-based fast parameter optimization for phenomenological spiking neural models
The effect of finite sample size on the holdout error probability estimator of homoscedastic multi-class Gaussian classification problems
Representation of material behavior: neural network-based models
MDCNN-SID: Multi-scale Dilated Convolution Network for Singer Identification
EndoDUM: Unsupervised Endoscopic Depth Estimation with Uncertainty Mask
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability
Pattern classification using self-organizing feature maps
Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining
A robust learning algorithm for the extended AM neural network
Reinforcement learning and dimensionality reduction: A model in computational neuroscience
GraphLIP: Graph-Enhanced Lightweight Indoor Positioning Model Leveraging Channel State Information
Out-of-Distribution Detection in Deep Learning Models: A Feature Space-Based Approach
On the approach to synthesis of forecasting Markov networks
Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network
Self-supervised Feature Representation Distillation for Esophageal Cancer Screening
Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding
Competitive self-organization and combinatorial optimization: applications to traveling salesman problem
An iterative algorithm for singular value decomposition on noisy incomplete matrices
Multi-agent system for dynamic scheduling
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
Automated Machine Learning for Enhanced Digital Image Forgery Detection
Mining textual data from primary healthcare records: Automatic identification of patient phenotype cohorts
A Training Method with Small Computation for Classification
Domain transfer nonnegative matrix factorization
Synthesis of neural networks with linear programs
HTMLPhish: Enabling Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis
Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery
Herb: Privacy-preserving Random Forest with Partially Homomorphic Encryption
2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
Interventional Prompt-Tuning for Relation Extraction
Pinning dynamic complex networks by time-varying controller-vertex set
CS-CL: A Flocking Model That Incorporates The Bio-inspired Chorus-Line Effect
CAMFeND: Credibility-Aware Multimodal Fake News Detection with Rotational Attention
Semi-optimal hierarchical regression models and ANNs
A multi-core learning algorithm for Boolean neural networks
A novel piece-wise constant analog spiking neuron model and its neuron-like excitabilities
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition
A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision
Open-Set Face Identification with Sequential Analysis and Out-of-Distribution Data Detection *
Stochastic Multiple Choice Learning for Acoustic Modeling
r-SVMT: Discovering the knowledge of association rule over SVM classification trees
Comparison of Conventional, Fuzzy Logic and Neural Based HBPWM Current Controllers
Synthesis of Pulsed-Coupled Neural Networks in FPGAs for Real-Time Image Segmentation
An Anchor-Semantics-Aware Neural Preference Propagation Model for Session-based Recommendation
A Hierarchical Korean-Chinese Machine Translation Model Based on Sentence Structure Segmentation
Calibration of the Multiple Choice Machine Reading Comprehension
GAFE: Enhancing Fraud Detection Performance in Multi-Relational Heterogeneous Graphs through Grouping Aggregation and Feature Extraction
Asynchronous Brain Computer Interfaces Using Echo State Networks
Modular general fuzzy hyperline segment neural network
TCoD: A Traveling Companion Discovery Method Based on Clustering and Association Analysis
Conditional information and information loss for flexible feature extraction
A self-organizing model for affective memory
An end-to-end algorithm for predicting missing load data based on waveGAIN
A novel reservoir network of asynchronous cellular automaton based neurons for MIMO neural system reproduction
PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback
MofN rule extraction from neural networks trained with augmented discretized input
A Place Cell Model for Spatio-Temporal Navigation Learning with LSTM
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation
Learning orthogonal sparse representations by using geodesic flow optimization
Reservoir-computing-based, biologically-inspired artificial neural network for modeling of a single machine infinite bus power system
Neural networks and the search for a quadratic residue detector
Multi-Part Adaptive Graph Convolutional Network for Skeleton-Based Action Recognition
Neural networks in 2-D continuous time
Real-time surface meshing through HRBF networks
Neurocontrol of Triple Coupled Inductor Based Multi-Channel LED Driver
Weighted support vector machine for data classification
Empirical study of effect of grouping strategies for large scale optimization
Early diagnosis of heart disease using classification and regression trees
Training Three-Layer Neural Network Classifiers by Solving Inequalities
Approximation to a Compact Set of Functions by Feedforward Neural Networks
Grammatical Error Detection with Self Attention by Pairwise Training
Structured trainable networks for matrix algebra
A likelihood-based decision feedback system for multi-aspect classification of underwater targets
A forecasting approach for stock index future using grey theory and neural networks
A biologically inspired computational vision front-end based on a self-organised pseudo-randomly tessellated artificial retina
Spiking Neural Networks for Signal Classification with Digital and Analog Neuromorphic Systems: A Comparative Study
Training recurrent neural networks with noisy input measurements
PARTCAT: A Subspace Clustering Algorithm for High Dimensional Categorical Data
Getting parameters in power systems based on adaptive linear neural network
Explanation based Bias Decoupling Regularization for Natural Language Inference
User daily activity pattern learning: A multi-memory modeling approach
Neural architecture for complex scene recognition based on rank-order features of IT neurons
Lightweight Super-Resolution for Chinese Scene Images Incorporating Textual Semantic Priors
GRNN with Double Clustering
Nonlinear predictive control for oxygen supply of a fuel cell system
An ANFIS Based System Identification Procedure for Modeling Electrochemical Cells
Resting state neural networks and energy metabolism
Correntropy: A Localized Similarity Measure
Efficient clustering approach using incremental and hierarchical clustering methods
An observer-based neural networks control scheme for nonlinear systems
Selective Information Acquisition with Application to Pattern Classification
Synchronization control of hybrid-coupled heterogeneous complex networks
A Time-Surface Enhancement Model for Event-based Spatiotemporal Feature Extraction
A hybrid machine learning approach to automatic plant phenotyping for smart agriculture
Object localization in 2D images based on Kohonen's self-organization feature maps
AEGAN: A Novel Machine Learning Model to Attribute Network Community Detection
Propagation Delays in the Development of SOMs and Abnormal Brain Growth in Autism
On adaptive pinning consensus for dynamic multi-agent networks with general connected topology
Choosing a starting configuration for particle swarm optimization
SGBMN: Symplectic Group Bayesian Manifold Network for Few-shot Classification
Deep Predictive Network for Inference and Dynamic Optimization of Task Goals during Human-Robot Collaboration
President's Welcome
Local Density Estimation based Clustering
Variations to incremental growing neural gas algorithm based on label maximization
Committee of spherical probabilistic principal surfaces
Community-aware graph debiased contrastive representation learning
A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning
Using Classifier diversity to handle label noise
Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data
Adaptive Feature Representation Based On Contrastive Learning For Few-Shot Classification
A study on visual interpretation of network in network
Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction
Predicting marital dissolutions using radial basis function neural networks
Targeted Attacks in Hierarchical Settings via Convex Programming
Online Topological Mapping for Embedded Computers with Growing Neural Gas
Distribution Features Based on Normalizing Flow for Anomaly Detection
Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images
Neural Network for Travel Demand Forecast Using GIS and Remote Sensing
Discriminative Domain Adaptation Network for Fine-grained Disease Severity Classification
Tag correlation and user social relation based microblog recommendation
Electricity Theft Detection Scheme Based on CNN-AE-LSTM Hybrid Model Against Evasion Attacks
Novel heuristic and SVM based optimization algorithm for improving distribution feeder performance
Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of Neurons
Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy
Platform performance comparison of PALM network on Pentium 4 and FPGA
Design Method of Limit Cycle Generator by Hysteresis Neural Networks
Applying the Coral Reefs Optimization algorithm to clustering problems
Human skeleton matching for e-learning of dance using a probabilistic neural network
Clustering-based Augmentation for Effective Self-supervised Learning in Sleep Staging
Multi-circle detection for bladder cancer diagnosis based on artificial immune systems
Pose estimation for vertebral mobility analysis using eXclusive-ICA based boosting (XICABoost) algorithm
Yet faster method to optimize SVR hyperparameters based on minimizing cross-validation error
A New Method for Tracking Modulations in Tonal Music in Audio Data Format
Compact floating-gate learning array with STDP
Fast diagnosis of bowel activities
Reservoir-based techniques for speech recognition
The convergence rate of linearly separable SMO
Fast feedforward non-parametric deep learning network with automatic feature extraction
Predicting missing links in social networks with hierarchical dirichlet processes
Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification
A multi-pheromone stigmergic distributed robot coordination strategy for fast surveillance task execution in unknown environments
Spatial Separable Multi-scale Feature Net: A 3D Reconstruction Method with More Features but Fewer Parameters
Simulating the effects of cortical feedback in the superior colliculus with topographic maps
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection
LisaCLIP: Locally Incremental Semantics Adaptation towards Zero-shot Text-driven Image Synthesis
A Neural Field Model for Supervised and Unsupervised Learning of the MNIST Dataset
Artificial Consciousness Algorithm for an Autonomous System
Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator
MBANet: A Multi-Branch Deep Learning Model for Giant Panda Age Estimation
Learning of an XOR problem in the presence of noise and redundancy
Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing
A Triplet Deviation Network Framework: Boosting Weakly-supervised Anomaly Detection By Ensemble Learning
Kernel spectral clustering for dynamic data using multiple kernel learning
A Self Fixing Intelligent Ant Clustering Algorithm For Graphs
Interpretable GAN for Alzheimer's Disease Progression Identification Based on Gene Expression and sMRI
Wiener-NN models and robust identification
Combined Online and Offline Inverse Dynamics Learning for a Robot Manipulator
Recognition model of cerebral cortex based on approximate belief revision algorithm
Palmprint Recognition: Two level Structure Matching
FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization
Incremental 2-directional 2-dimensional linear discriminant analysis for multitask pattern recognition
Rotorcraft Acoustic Noise Estimation and Outlier Detection
Ranking and selecting clustering algorithms using a meta-learning approach
Semantic Data Augmentation Enhanced Invariant Risk Minimization for Medical Image Domain Generalization
Evolving fuzzy neural networks applied to odor recognition in an artificial nose
Train-spotting: building classifiers for microarrays
One-Shot Learning for Surveillance Anomaly Recognition using Siamese 3D CNN
Word and Character Semantic Fusion by Pretrained Language Models for Text Classification
COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation
SUSing: SU-net for Singing Voice Synthesis
Learning-data composition and recognition using fractal parameters
Short-term Traffic Flow Forecasting Using Transfer Ratio and Road Similarity
One-Shot Domain Incremental Learning
Delay-induced order in pulse-coupled bifurcating neurons
CNN-GRU Based Deep Learning Model for Demand Forecast in Retail Industry
Remote Sensing Change Detection via Graph Compression and Adaptive Feature Fusion
Support vector visualization and clustering using self-organizing map and vector one-class classification
Dendritic processing in hippocampal pyramidal cells and its modulation by inhibitory interneurons
Investigation of alternative strategies and quality measures for controlling the growth process of the growing hierarchical self-organizing map
The effect of biologically-inspired mechanisms in spiking neural networks for neuromorphic implementation
Transformer-Based High-Resolution μCT Image Reconstruction for Cement Hydration
Orthogonal transformation of output principal components for improved tolerance to error
MASNet: A Simple Neural Network Approach to Solve Multidimensional Array Search
Second-order networks for wall-building agents
Direct conversion from facial myoelectric signals to speech using Deep Neural Networks
Neural-symbolic monitoring and adaptation
Out-of-Distribution Data Monitoring Framework Based on KENN-Driven Graph Data Synthesis and Adaptive Encoder Network
Traffic flow prediction using orthogonal arrays and Takagi-Sugeno neural fuzzy models
Fair Post-Pruning Decision Tree
Input-Side Training in Constructive Neural Networks Based on Error Scaling and Pruning
A procedure for training recurrent networks
A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection
A hybrid sequential feature selection approach for the diagnosis of Alzheimer's Disease
Robust experimental design and feature selection in signal transduction pathway modeling
The role of the RKH space F in the analysis and design of recurrent neural networks
ESOFCMAC: Evolving Self-Organizing Fuzzy Cerebellar Model Articulation Controller
Real-coded genetic algorithm with average-bound crossover and wavelet mutation for network parameters learning
Online sequential classification of imbalanced data by combining extreme learning machine and improved SMOTE algorithm
Generate Desired Images from Trained Generative Adversarial Networks
Dynamic feature fusion in the self organising tree map-applied to the segmentation of biofilm images
MIMO SVMs for 3D object classification
Dog Identification using Soft Biometrics and Neural Networks
Fast pedestrian detection based on object proposals and HOG
Think Before Retrieving: Query-Response Relevance Retrieval Augmented Generation
A Sound Localization and Recognition System using Pulsed Neural Networks on FPGA
A unifying framework for spectral analysis based dimensionality reduction
Nonlinear Hebbian Learning for noise-independent vehicle sound recognition
An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface
3D spatial analysis of fMRI data: a comparison of ICA and GLM analysis on a word perception task
Faster Convergence for Transformer Fine-tuning with Line Search Methods
Pattern Extraction Learning for Cooperative Multi-Agent Reinforcement Learning
Improving Speech Separation with Adversarial Network and Reinforcement Learning
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation
Mitigating Spurious Correlations in Named Entity Recognition Models Through Counterfactual Data Augmentation
Robust Control for Biped Robot Using Cerebellar Model Articulation Controller
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples
Theoretical Analysis of Synchronization Phenomena in Two Pulse-Coupled Resonate-and-Fire Neurons
A particle swarm optimization-based neural network for detecting nocturnal hypoglycemia using electroencephalography signals
SVM-based blind beamforming of constant modulus signals
Heterogeneous Bayesian ensembles for classifying spam emails
Face detection and identification using a hierarchical feed-forward recognition architecture
Visual Global Localization Based on Deep Neural Netwoks for Self-Driving Cars
AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation
Restoring high frequency spectral envelopes using neural networks for speech bandwidth extension
Analog hardware implementation of spike-based delayed feedback reservoir computing system
Theoretical analysis of quantized Hopfield network for integer programming
Cross-Domain Transformation for Outlier Detection on Tabular Datasets
Evolutionary optimization of radial basis function networks for intrusion detection
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors
TESANet: Self-attention network for olfactory EEG classification
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns
Fuzzy cluster ensemble and its application on 3D head model classification
Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation
Abstraction hierarchy in deep learning neural networks
A Bayesian perspective on classical control
Quantum One-class Classification With a Distance-based Classifier
A Neuro-Genetic Approach to Real-Time Visual Grasp Synthesis
Sky/Ground Segmentation Using Different Approaches
RTFormer: Re-parameter TSBN Spiking Transformer
Weakly Labeled Semi-Supervised Sound Event Detection with Multi-Scale Residual Attention
Axis projection for Kidney-Region-Of-Interest detection in computed tomography
SAMPLE: Spatiotemporal-Aware Microservice Pre-deployment with LLMs for Edge Computing
New Word Extraction Utilizing Google News Corpuses for Supporting Lexicon-based Chinese Word Segmentation Systems
MCF: Multi-scale Context Fusion for Strip Steel Surface Detection
A study on association rule mining of darknet big data
Adaptive Critic Design for Intelligent Steering and Speed Control of a 2-Axle Vehicle
Biologically plausible VLSI neural network implementation with asynchronous neuron and spike-based synapse
SWR-BIDeN: An Improved BIDeN Model for Severe Weather Removal in Image Processing
A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code
Eigenposes: Using principal components to describe body configuration for analysis of postural control dynamics
Support Vector Machines Based on a Semantic Kernel for Text Categorization
Improved training of cellular SRN using Unscented Kaiman Filtering for ADP
Spatial and Temporal Aware Graph Convolutional Network for Flood Forecasting
Sparse kernel feature analysis using FastMap and its variants
Retinal vessel segmentation based on possibilistic fuzzy c-means clustering optimised with cuckoo search
A comparison of neural ICA algorithms using real-world data
Implicant Network: an associative memory model
Application of Particle Swarm Optimization to PMSM Stator Fault Diagnosis
Emotion-Aware Text Generation for Instructing Audio-Visual Emotion Recognition
Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory
Multi-view unsupervised feature selection by cross-diffused matrix alignment
Automatic target recognition using new support vector machine
DeepCADD: A Deep Learning Architecture for Automatic Detection of Coronary Artery Disease
A Neural Network-Based Driver Gaze Classification System with Vehicle Signals
Differentiation between Normal and Interictal EEG Using Multitaper Spectral Classifiers
Applying the self-training semi-supervised learning in hierarchical multi-label methods
A new sensitivity-based pruning technique for feed-forward neural networks that improves generalization
Asymmetric multiagent reinforcement learning in pricing applications
Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks
Stable-yet-switchable (SyS) attractor networks
Towards Lightweight and Robust MCMT Tracking: Dual-Retrieval Knowledge Distillation and Scene-Aware Fusion
The Ersatz Brain Project: Neural Inspiration, Cognitive Application
SONNET: a self-organizing neural network that classifies multiple patterns simultaneously
Non-Destructive Test by the Hopfield Network
High Resolution Face Privacy-Enhancing method based on Latent Optimization with Identity-Preserving Facial Masking
A feature extraction technique for online handwriting recognition
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery
Forecasting Early with Meta Learning
A Hybrid System for Signature Verification
A combined genetic optimization and multilayer perceptron methodology for efficient digital fingerprint modeling and evaluation in secure communications
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
Artificial Intelligence for Critical Infrastructure Systems: Past, Present and Future
Sequential Patterns Unveiled: A Novel Hypergraph Convolution Approach for Dynamic User Preference Analysis
Dual Cost-sensitive Graph Convolutional Network
A Full-Granularity Anomaly Detection Model Based on Attribute-Enhanced Sampling
A KALDI-DNN-based ASR system for Italian
Constraining Logits by Bounded Function for Adversarial Robustness
Experiments with Safe ARTMAP and Comparisons to Other ART Networks
Exploring Attribute Space with Word Embedding for Zero-shot Learning
Region Contrast Distillation for Medical Image Segmentation
Multi-Label Auto-Encoder based Electrical Load Disaggregation
MHCP-RCNN: Multi-Human Color Parsing Segmentation using Multi-Task Network
NBWAB: A Model for Text Sentiment Analysis With BERT and ChatGPT
Multiple Instance Learning with Fine-grained Causal Intervention for Histopathological Diagnosis
Long- and Short-term Attention Network for Knowledge Tracing