yusuke1997/dblp-id-title huggingface dataset:
VQStarGAN: An Unseen-to-Unseen, Zero-Shot, Non-Parallel, Unsupervised Voice Conversion
ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation
Identification of thyroid nodules in infrared images by convolutional neural networks
TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS
Acquisition of adaptive walking behaviors using machine learning with Central Pattern Generator
Neuron mechanism of human languages
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Text-mining protein-protein interaction corpus using concept clustering to identify intermittency
The impact of longstanding messages in micro-blogging classification
Speed-up Implicit Graph Neural Diffusion Model: A Simplified and Robust Strategy
Text to Image Synthesis based on Multi - Perspective Fusion
An optimal sphere and two large margins approach for novelty detection
Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions
A Multimodal Classification of Noisy Hate Speech using Character Level Embedding and Attention
Cross-Architecture Intemet-of-Things Malware Detection Based on Graph Neural Network
An analysis of associative chaotic neurodynamics by using surrogate neurons
Comparison of feedforward and feedback neural network architectures for short term wind speed prediction
Rumor Detection Based on Depth and Breadth with Tree-Structured Recursive Neural Networks
Restricted Boltzmann Machines for the Prediction of Trends in Financial Time Series
Unsupervised Learning of Eye Gaze Representation from the Web
Opportunistic spectrum access in cognitive radio networks
Deep searching for parameter estimation of the linear time invariant (LTI) system by using Quasi-ARX neural network
Solving discrete-time nonlinear servomechanism problem with feedforward neural networks
Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer
B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling
Evolving Spiking Neural Networks of artificial creatures using Genetic Algorithm
Implementation of a neural network based visual motor control algorithm for A 7 DOF redundant manipulator
Personalized Federated Learning with Auction-Based Client Selection and Edge-Enhanced Model Accuracy
BiCon : Bi-Branch Network with Contour-Enhanced Features for Class Incremental Learning
ABRMS-Net: An Attention-Based Residual Multi-Scale CNN for image classification
Solving convex optimization problems using recurrent neural networks in finite time
SSRNAS: Search Space Reduced One-shot NAS by a Recursive Attention-based Predictor with Cell Tensor-flow Diagram
Nonlinear independent component analysis by homomorphic transformation of the mixtures
Modeling Diverse and Feasible Retrosynthesis via a Layer-Wise Conditional Variational Transformer
Neural Radiance Fields with Regularizer Based on Differences of Neighboring Pixels
Model-Free Temporal Difference Learning for Non-Zero-Sum Games
Autonomous integrate-and-fire model with vibration
Brain-inspired self-organizing model for incremental learning
Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points
Modifying the learning rate of FLNG dealing with imbalanced datasets
STDP produces robust oscillatory architectures that exhibit precise collective synchronization
DRM-Yolov8 Pedestrian Detection Method for Nighttime Complex Scenarios
Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting
AdvLensPolluter: Object-oriented Adversarial Camera Contamination Attack
IJCNN 2025 Competition: Learning with Noisy Graph Labels
A review of open-source machine learning algorithms for twitter text sentiment analysis and image classification
NPS: a neural network programming system
An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem
Depressive Disorders Recognition by Functional Connectivity Using Graph Convolutional Network Based on EEG Microstates
Speaker identification using speech and lip features
Nonlinear Logistic Regression Model Based On Simplex Basis Function
Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent
A neural network trained to select aircraft maneuvers during air combat: a comparison of network and rule based performance
A Second-Order Tensor Network Model for Understanding Time-varying QoS Data
Learning objects on the fly - object recognition for the here and now
Transfer Learning with Graph Attention Networks for Team Recommendation
A kernel-based feature weighting for text classification
Identification of moving limb using near infrared spectroscopic signals for brain activation
Plant recognition based on intersecting cortical model
A Distortion Free Learning Algorithm for Feedforward BSS and ITS Comparative Study with Feedback BSS
AdaptParse: Adaptive Contextual Aware Attention Network for Log Parsing via Word Classification
Visual and Linguistic Double Transformer Fusion Model for Multimodal Tweet Classification
Application of dynamic financial time-series prediction on the interval Artificial Neural Network approach with Value-at-Risk model
Enhancing Diabetic Retinopathy Detection Through Transformer Based Knowledge Distillation and Explainable AI
Compressing Deep Neural Network: A Black-Box System Identification Approach
Raman spectra calibration, extraction and neural network based training for sample identification
Exploiting the virtue of redundancy
Priority ordered architecture of neural networks
Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection
Incremental learning from several different microarrays
SCRAM: statistically converging recurrent associative memory
A Multi-task Learning Governed Temporal Convolutional Network for Predicting Rare HVAC Compressor Faults
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
Video analysis for view-based painful expression recognition
Quantum Morphogenetic System in image recognition
Exploring Reconstructed AMR Graph for Generative Event Extraction
Clustering of symbolic data through a dissimilarity volume based measure
Robust Neural Architecture Search under Long-Tailed Distribution
Two-dimensional spectral image calibration based on feed-forward neural network
ConsE: Consistency Exploitation for Semi-Supervised Anomaly Detection in Graphs
Visual Relationship Attention for Image Captioning
A Novel Approach for Cross-Selling Insurance Products Using Positive Unlabelled Learning
Measuring the engagement level in encrypted group conversations by using temporal networks
DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for Pattern Classification
Effective identification of a turbogenerator in a SMIB power system using Fuzzy Neural Networks
Convolutional Neural Network based Eye Recognition from Distantly Acquired Face Images for Human Identification
Solar Image Hashing by Intermediate Descriptor and Autoencoder
Power transformer disturbance classification based on the wavelet transform and artificial neural networks
Growing Hierarchical Trees for Data Stream clustering and visualization
Discriminating classes collapsing for Globality and Locality Preserving Projections
Developmental Learning of Value Functions in a Motivational System for Cognitive Robotics
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
LMLSTM: Extract Event-Oriented Keyphrase From News Stream
Optimization of an electro-optical representation of the C. elegans connectome through neural network cluster analysis
Error whitening criterion for linear filter estimation
Analogical mapping and inference with binary spatter codes and sparse distributed memory
An ensemble approach to variable selection for classification of DNA microarray data
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder
Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring
Convex local sensitive low rank matrix approximation
Recurrent auto-associative networks and sequential processing
Black-box modeling for temperature prediction in weather forecasting
Hetero Chaotic Associative Memory for Successive Learning with Multi-Winners Competition
Optimizing neural-network learning rate by using a genetic algorithm with per-epoch mutations
DSMN: A Personalized Information Retrieval Algorithm Based on Improved DSSM
CLEverReg: A CNN-LSTM based Linear Regression Technique for Temporal Fire Event Modelling
Development of a Simulation Experiment to Investigate In-Flight Startle using Fuzzy Cognitive Maps and Pupillometry
Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation
Orthogonal PSO algorithm for optimal dispatch of power of large-scale thermal generating units in smart power grid under power grid constraints
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift
Classification of eukaryotic and prokaryotic cells by a backpropagation network
An Application of Category-Theoretic Design Methods to the Control of a Simulated Robot
MAGC-YOLO:Small Object Detection in Remote Sensing Images based on Multi-scale Attention and Graph Convolution
Implementing neural networks into modern technology
A new pulse mode self organizing map hardware with digital phase locked loops
Collaborative Enhancement of Long-term and Short-term Interests with Diffusion Optimization for Conversational Recommendation
The Separability of Visual Sensitivity into Spatial Frequency and Motion Velocity Based on Properties of Natural Images
Using EBGAN for Anomaly Intrusion Detection
Talking to the Mona Lisa? LLM-based Role-playing Agent Enables Artworks in Virtual Exhibitions to Speak
An incremental affinity propagation algorithm and its applications for text clustering
A Q-Learning Inspired Context-Aware Dynamic Resource Matchmaking Scheme for Critical Electric Vehicle Infrastructure
Time series analysis based on the smoothness measure of mapping in the phase space of attractors
A variable structure neural network model for mid-term load forecasting of Iran national power system
A Multi-label feature selection algorithm based on multi-objective optimization
The optimization of radial basis probabilistic neural networks based on genetic algorithms
Lithium-Ion Battery Aging Estimation Through Deep Learning Techniques
Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes
Complex Encoding
Emotion Recognition under Sleep Deprivation Using a Multimodal Residual LSTM Network
Multi-Modal Adversarial Example Detection with Transformer
Unified control Liapunov function based design of neural networks that aim at global minimization of nonconvex functions
Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks
Measuring Human Involvement in AI-Generated Text: A Case Study on Academic Writing
10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention
A quantum-inspired hybrid methodology for financial time series prediction
A bi-directional associative memory used in a pattern recognition system
Semi-GD: Graph-Level Consistency Regularization and Dynamic Threshold Boosted Semi-Supervised Learning
Robust Visual Recognition with High-Order Gaussian Synapses Networks
Mobile robot vision-based navigation using self-organizing and incremental neural networks
Using adaptive resonance theory networks and fuzzy matching to recognize target features in thermal images
Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks
Distilling Calibration via Conformalized Credal Inference
Logic Consistency Makes Large Language Models Personalized Reasoning Teachers
ICA for Noisy Neurobiological Data
Coarse-to-Fine Recurrently Aligned Transformer with Balance Tokens for Video Moment Retrieval and Highlight Detection
An Extension Neural Network and Genetic Algorithm for Bearing Fault Classification
Attn-VAE-GAN:Text-Driven High-Fidelity Image Generation Model with Deep Fusion of Self-Attention and Variational Autoencoder
Low-rank representation based action recognition
Prototype-based Clustering for Relational Data using Barycentric Coordinates
An efficient SpiNNaker implementation of the Neural Engineering Framework
An alternative approach to solve convergence problems in the backpropagation algorithm
A decision boundary hyperplane for the vector space of conics using a polinomial kernel in m-Euclidean space
Focus on your Geometry: Exploiting the Potential of Multi-Frame Stereo Depth Estimation Pre-training for 3D Object Detection
A geometric proof of the equivalence between AUC_ROC and Gini index area metrics for binary classifier performance assessment
An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods
Practical method for blind inversion of Wiener systems
Neural network model for integration and visualization of introgressed genome and metabolite data
Improving question retrieval in community question answering with label ranking
A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction
MCCVM: Multi-Scale Cross-axes Conv-VMamba for Medical Image Classification
Attention-SSM Network for Predicting Springback Error in Single Point Incremental Forming
SpiNNaker: Mapping neural networks onto a massively-parallel chip multiprocessor
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition
MSR-DARTS: Minimum Stable Rank of Differentiable Architecture Search
Theoretical analysis of the Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering
Study of Learning Entropy for onset detection of epileptic seizures in EEG time series
A dynamical neural network model of sensorimotor transformations in the leech
Data-Driven Learning of Frequency Droop Curves for Critical Power System Infrastructure with Utility-Scale PV Plant
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Design of experiments by committee of neural networks
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images
Discriminative Pruning Networks for Visual Tracking with Adaptive Foreground Prediction
Training multi-loop networks
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
Intelligent face mask prediction system
Microcalcification enhancement and classification on mammograms using the wavelet transform
Graph Learning by Dynamic Sampling
Ultra-Short-Term Prediction Method of Photovoltaic Power Generation Based on Improved GRNN-LSTM Combination Model
Low-Rank Decomposition Assisted Quantization and Inference Compensation for Quality Large Language Model Inference
Airport noise simulation using neural networks
An identifying function approach for determining structural identifiability of parameter learning machines
Neural block control for a synchronous electric generator
Joint Graph Based Embedding and Feature Weighting for Image Classification
Prototype-based One-Class-Classification Learning Using Local Representations
Parallel tempering is efficient for learning restricted Boltzmann machines
A new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons
FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images
An Easily Calculated Bound on Condition for Orthogonal Algorithms
MalSE: Malware Detection Based on Multi-Dimensional API Call Sensitivity Estimation
Tackling class imbalance with ranking
Pedestrian detection with dilated convolution, region proposal network and boosted decision trees
A Unified Brain Signal Decoder Based on Multi-Branch Architecture
SCProtoNet: Spatial and Channel Reconstruction Prototype Network for Real Time instance Segmentation
A novel, geometric supervised learning scheme using linear programming approach
The Parzen kernel approach to learning in non-stationary environment
Federated Prompt Tuning for News Framing: A Community-Aware Approach to Narrative Exploitability
Keyword-guided Topic-oriented Conversational Recommender System
Combining datasets to improve model fitting
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution
Learning control of population transfer between subspaces of quantum systems using an adaptive target scheme
Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis
Enhanced Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning
A 5-chunk developmental brain-mind network model for multiple events in complex backgrounds
Modified time-based multilayer perceptron for sensor networks and image processing applications
DMP-DETR: Dilation Multi-Scale and Partial Channel Gated Fusion Attention For Steel Defect Detection
Domain adaptation bounds for multiple expert systems under concept drift
Building a Better Lie Detector with BERT: The Difference Between Truth and Lies
Local and global criticality within oscillating networks of spiking neurons
Anomaly User Detection via Comprehensive Keystroke Features Optimization
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge
Dynamic Cognitive Bias: Hallucination and Forgetting in the Cognitive Dynamics of LLMs
Neural Architecture Search-Based Meta-Reinforcement Learning in Robotic Simulation Environments
Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series
Federated Adaptive Contrastive Prototype Learning for Heterogeneous Settings on Large-scale Data
Mixing Habits and Planning for Multi-Step Target Reaching Using Arbitrated Predictive Actor-Critic
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back to Life
A computational model of multi-sensory perception and its application to investigating the controversy around learning styles
Implementation of universal computation via small recurrent finite precision neural networks
Geodesic Nonlinear Mapping Using the Neural Gas Network
Image stitching with single-hidden layer feedforward neural networks
LCCN: A Lightweight Capture Context Network for Image Super-Resolution
Improving OPT-GAN by Smooth Scale Mapping and Adaptive Exploration
Investigating the impacts of epilepsy on EEG-based person identification systems
Obtaining an optimal gas injection rate for an oil production system via neural networks
Crowd-Aware Robot Navigation for Scenario Generalization via Deep Reinforcement Learning and Knowledge Distillation
Improving the quality of enzyme prediction by using feature selection and dimensionality reduction
Generating Diverse Extended Summaries of Scientific Articles
FedLinked: A client-wise distilled representation based semi-supervised collaborative multitask learning scheme
A fast approximation algorithm for 1-norm SVM with squared loss
A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles
Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer
An initial performance evaluation of unsupervised learning with ALIAS
Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting
A novel meta database for relationships between Bioinformatics databases
A multi-layer neural network classifier for radar clutter
Weakly Supervised Segmentation of Plasma Cells in Bone Marrow via Scribble Annotations
Tensor Decomposition for Compressing Recurrent Neural Network
Feature-Aware Noise Contrastive Learning For Unsupervised Red Panda Re-Identification
Multi-source Multi-label Feature Selection
An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection
A novel constructive algorithm for CANet
A Multi-Modal Approach for the Detection of Account Anonymity on Social Media Platforms
Neighborhood induced stochastic resonance
Pruning of Dendritic Neuron Model with Significance Constraints for Classification
A Very Small Chaotic Neural Net
Cognitive Neural Network Driving DoF-Scalable Limbs in Time-Evolving Situations
Design of a silicon cochlea system with biologically faithful response
Learning and forgetting - how they should be balanced in SOM algorithm
An accurate localization for mobile robot using extended Kalman filter and sensor fusion
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift
Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy
A Self-Organizing Neural Fuzzy Inference Network
One class support vector machine based non-relevance feedback document retrieval
MH-CL: Self-Supervised Action Recognition Method Based on Multi-view Hypergraphic Contrastive Learning for Intangible Cultural Heritage Dance
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering
IBCL: Integrating Information Bottleneck and Multi-Level Contrastive Learning for Accurate Multimodal Sentiment Analysis
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation
Incremental Dictionary Learning With Sparsity
Automatic detection of drowsiness using in-ear EEG
A reconfigurable parallel architecture for SVM classification
Event Coreference Resolution based on Convolutional Siamese network and Circle Loss
Multi-label Classification of Gene Function using MLPs
Improving Super-Resolution Reconstruction with Regularized Extreme Learning Machine Networks
NH-YOLOv5: An Improved YOLOv5 for Real-Time Traffic Sign Detection
Detection and classification of power quality disturbances in time domain using probabilistic neural network
Trustworthy and Reliable AI for Heart Disease Diagnosis: Advancing Ethical and Explainable Healthcare Decision-Making
Hierarchical Tree Long Short-Term Memory for Sentence Representations
A neural network model for the formation of topographic maps in the CNS: development of receptive fields
Filter-based Online Neuro-Fuzzy Model Learning using Noisy Measurements
Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM
A SOM combined with KNN for classification task
Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware
Deep Salient Object Detection with Fuzzy Superpixel Extraction and Controlled Filter Convolution
Design of artificial neural networks using a modified Particle Swarm Optimization algorithm
Digital implementation of a bio-inspired neural model for motion estimation
Effects of the short-cut connection on the dynamics of a delayed ring neural network
Chaotic phenomena of an active axon
Word sense disambiguation: an evaluation study of semi-supervised approaches with word embeddings
Multi-Perspective Protein Representation Learning for Protein-Protein Interaction Prediction
A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface
Mathematics of Trust: Controlled and Uncontrolled Influence in Social Systems
Benchmarking Energy and Latency in TinyML: A Novel Method for Resource-Constrained AI
Forensic application of a novel hybrid neural network
Audio-Visual Weakly Supervised Approach for Apathy Detection in the Elderly
Tree Echo State Autoencoders with Grammars
SOAR: A Learned Join Order Selector with Graph Attention Mechanism
Dimensionality reduction based on minimax risk criterion for face recognition
A new model for measuring the accuracies of majority voting ensembles
Spatial-Temporal Attention Network for Malware Detection Using Micro-architecture Features
The role of orientation diversity in binocular vergence control
Aggregation-Assisted Proxyless Distillation: A Novel Approach for Handling System Heterogeneity in Federated Learning
New block recursive MLP training algorithms using the Levenberg-Marquardt algorithm
Enhancing Offline Reinforcement Learning via Dynamics-Aware Mixup
Towards Accurate Federated Learning under Heterogeneous Local Models via Global Model Decoupling
How Can the [MASK] Know? The Sources and Limitations of Knowledge in BERT
Target Adaptation to Improve the Performance of Least-Squared Classifiers
Distantly Supervised Relation Extraction based on Non-taxonomic Relation and Self-Optimization