yusuke1997/dblp-id-title huggingface dataset:
Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data
Integrating word embeddings and traditional NLP features to measure textual entailment and semantic relatedness of sentence pairs
Comparison of neural networks-based ANARX and NARX models by application of correlation tests
Including multi-objective abilities in the Hybrid Intelligent Suite for decision support
Cooperative Autonomous Driving Control among Vehicles of Different Sizes Using Deep Reinforcement Learning
Schatten p-norm based Image-to-Video Adaptation for Video Action Recognition
APOLONN brings us to the real world: learning nonlinear dynamics and fluctuations in nature
Texture-Aware StarGAN for CT data harmonization
Implementation of Artificial Neural Network for Real Time Applications Using Field Programmable Analog Arrays
FaCTQA:Detecting and Localizing Factual Errors in Generated Summaries Through Question and Answering from Heterogeneous Models
Work Together to Keep Fresh: Hierarchical Learning for UAVs-assisted Data Time-Sensitive IoT
A spiking neuron representation of auditory signals
A Prediction-Sampling-Based Latent Factorization of Tensors Model for Learning Accurate Representation to Academic Network
Intelligent Decoupled Control for Linear Induction Motor Drive
DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection On Graphs
Global exponential stability of delayed Hopfield neural network on time scale
A novel, fast-learning, non-iterative neural network used in pattern recognition
Neural inverse optimal control for a linear induction motor
Creating health typologies with random forest clustering
Learning in asymptotically behaving neural networks
Early integration of vision and manipulation
A Deep Bidirectional Highway Long Short-Term Memory Network Approach to Chinese Semantic Role Labeling
Neural maps for mobile robot navigation
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
BIBNet: An Efficient Super Resolution with Bottleneck-In-Bottleneck
Predicting Credit Spreads of Chinese Municipal Bonds: A Hybrid Model of Wavelet Transform, Random Forest, and SAM-GRU
Improved Attributed Graph Clustering with Representation and Structure Augmentation
Bio-inspired categorization using event-driven feature extraction and spike-based learning
Solar power forecasting using weather type clustering and ensembles of neural networks
Vision-based vehicle detecting and counting for traffic flow analysis
Generating Questions via Unexploited OCR Texts: Prompt-Based Data Augmentation for TextVQA
Bootstrap Methods for Foreign Currency Exchange Rates Prediction
Comparison between backpropagation and RPROP algorithms applied to fault classification in transmission lines
U3PNet: Three-Branch Spatial-Spectral Fusion for Super-Resolution with Prompt Tuning
Estimation with two hidden layer neural nets
Weighted vote algorithm combination technique for anomaly based Smart Grid Intrusion Detection systems
Cross Layer Weakly Supervised Data Augmentation Network for Offline Signature Verification
Unimodality-Supervised Contrastive Learning and Inference Enhancement Method for Medical Visual Question Answering
A committee of MLP with adaptive slope parameter trained by the quasi-Newton method to solve problems in hydrologic optics
Improving Chinese Spelling Correction by Ranking
Recurrent Neural Identification on Xilinx system generator using V7 FPGA for a 2DOF robot manipulator
Personalized Destination Prediction Using Transformers in a Contextless Data Setting
Fourier neural networks
An algorithm for finding reliably schedulable plans
An adaptive sub-space filter model
Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training
Pulse coupled neural network for motion detection
A binary classification and online vision
New designs for universal stability in classical adaptive control and reinforcement learning
Explanations for Graph Neural Networks using A Game-theoretic Value
Complexity suppression of neural networks for PAPR reduction of OFDM signal and its FPGA implementation
Boosting the performance of weightless neural networks by using a postprocessing transformation of the output scores
Text classification and minimal-bias training vectors
Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions
Predicting human cortical connectivity for language areas using the Conel database
A solution of mixed integer linear programming for obstacle-avoided pursuit problem
Spatial-Temporal Constraint Learning for Cross-Subject EEG-Based Emotion Recognition
Enhancing the structure and parameters of the centers for BBF Fuzzy Neural Network classifier construction based on data structure
A neural architecture for visual recognition of general stationary objects by machines
Revisit the Scalability of Deep Auto-Regressive Models for Graph Generation
Fast Co-operative Modular Neural Processors for Human Face Detection
MPSSD: Multi-Path Fusion Single Shot Detector
Phoneme recognition with a time-delay neural network
Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records
Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast
A stochastic model based on neural networks
Joint Content semantic relation Learning with Mamba for Multimodal Recommendation
LJ-DETR: LightWeight RT-DETR Algorithm with Joint Encoder for Steel Surface Defect Detection
Where-What Network 5: Dealing with scales for objects in complex backgrounds
Adversarial mRMR against Evasion Attacks
Unsupervised cluster analysis and mortality risk in the Digitalis Investigation Group (DIG) trial of heart failure
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning
Reconfiguration of Electric Power Distribution Networks using Unineuron and Nullneuron
CtnR: Compress-then-Reconstruct Approach for Multimodal Abstractive Summarization
An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering
Computational Analysis of Learned Representations in Deep Neural Network Classifiers
Online Class-incremental Continual Learning with Maximum Entropy Memory Update
Optimal Control of a Photovoltaic Solar Energy System with Adaptive Critics
MuSeRA: Multiple Selectively Recursive Approach towards imbalanced stream data mining
PAV-Net: Point-wise Attention Keypoints Voting Network for Real-time 6D Object Pose Estimation
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
Attitude Estimation of Unmanned Aerial Vehicle Based on LSTM Neural Network
A soft label based linear discriminant analysis for semi-supervised dimensionality reduction
Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval
The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction
A weighted voting model of associative memory: theoretical analysis
Weather Radar Estimates of Rainfall Adjusted to Rain Gauge Measurements Using Neural Networks
First-person Activity Recognition by Modelling Subject - Action Relevance
One-step Predictive Encoder - Gaussian Segment Model for Time Series Anomaly Detection
Structure embedding for knowledge base completion and analytics
Comparing data assimilation filters for parameter estimation in a neuron model
Exogenous control and dynamical reduction of echo state networks
On-chip training of recurrent neural networks with limited numerical precision
ReconGait: Giant Panda Gait Recognition Based on Spatio-Temporal Feature Reconstruction
Representative Evolution: A Simple and Efficient Algorithm for Artificial Neural Network Evolution
Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters
PAC learnability versus VC dimension: A footnote to a basic result of statistical learning
Classification of Four Types of Common Murmurs using Wavelets and a Learning Vector Quantization Network
Comparison of a SOM based sequence analysis system and naive Bayesian classifier for spam filtering
Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks
Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators
A neural network method for prediction of 2006 World Cup Football Game
SOLIS: Autonomous Solubility Screening using Deep Neural Networks
Regularization and Feedforward artificial neural network training with noise
DR-TiST: Disentangled Representation for Time Series Translation Across Application Domains
Eyes Attribute Editing Assisted by Dual-Coordinate System and Multi-Probability Fusion Prediction
Conceptual Explanations of Neural Network Prediction for Time Series
Improved Lagrange Nonlinear Programming Neural Networks for Inequality Constraints
A new approach to robust k-Means clustering based on fuzzy principal component analysis
A self-organizing neural network for locus-addressable associative memory
Improving Face Recognition Methods Using Generative Models
Multi-modal Feature Enhancement and Prototype Optimization for Few-Shot Segmentation
On the choice of Vector Symbolic Architectures for Time Series Classification with HDC-MiniROCKET
Multi-patch deep features for power line insulator status classification from aerial images
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
Triplet-contrastive Periodical Siamese Graph Networks for Travel Time Estimation
Centroid neural network with Chi square distance measure for texture classification
Machine learning approaches for the prediction of obesity using publicly available genetic profiles
Associative Memory for Online Incremental Learning in Noisy Environments
Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function
Network-Structured Particle Swarm Optimizer considering neighborhood relationships
Random subspaces of the instance and principal component spaces for ensembles
Semantic Image Synthesis via Hierarchical Structure Features
Learning Vector Quantization with adaptive prototype addition and removal
Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification
Optimizing view generation in classification datasets
Neural responses to natural sounds in the auditory midbrain: A model comparison
ATCE: Adaptive Temporal Context Exploitation for Weakly-Supervised Temporal Action Localization
Improved Concentration Bound for CVaR
Advances in 3D-Based Face Recognition
Interpretable Transformers for Alzheimer Disease Diagnosis on Multi-modal Data
Using Domain Adapter and Prompt Learner for Few-Shot Teaching Action Recognition in videos
Graph Models of Neurodynamics to Support Oscillatory Associative Memories
Diffusion Variational Generative Adversarial Model for Collaborative Filtering
Multi-step-ahead forecasting using kernel adaptive filtering
OPSeg: Adapting Segment Anything Model 2 with Prompts for Efficient Instance Shadow Detection
Multi-view ANNs for Multi-relational Classification
Diversity in task decomposition: A strategy for combining mixtures of experts
Deep neural networks for kitchen activity recognition
A fast and reliable routing algorithm based on Hopfield Neural Networks optimized by Particle Swarm Optimization
Pruning Broad Learning System based on Adaptive Feature Evolution
A neural implementation of conceptual hierarchies with Bayesian reasoning
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines
MFWNet: Optimizing UAV-based Detection of Wheat Fusarium Head Blight Using Multi-scale Feature Fusion and Wavelet Convolution
Federated Reservoir Computing Neural Networks
Feature maps based weight vectors for spatiotemporal pattern recognition with neural nets
Dual-Encoding Y-ResNet for generating a lens flare effect in images
Challenges for the policy representation when applying reinforcement learning in robotics
Molecular electronics and neural network functions
Mixture Density Networks for Tropical Cyclone Tracks Prediction in South China Sea
Underwater object detection using Invert Multi-Class Adaboost with deep learning
A Bio-Inspired Computational Astrocyte Model for Spiking Neural Networks
Adaptive-Weighted Convolutional Filters: A Depth Discrepancy-Focused Approach to Defocus Estimation
An association architecture for the detection of objects with changing topologies
Projection Vector Machine: One-stage learning algorithm from high-dimension small-sample data
Direct kernel least-squares support vector machines with heuristic regularization
DAPID: A Differential-adaptive PID Optimization Strategy for Neural Network Training
Top-down Gamma Saliency - Learning to Search for Objects in Complex Scenes
Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions
On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches
Mnemonic Dictionary Learning for Intrinsic Motivation in Reinforcement Learning
A Lightweight sequence-based Unsupervised Loop Closure Detection
NRAdapt: Noise-Robust Adaptive Text to Speech Using Untranscribed Data
Exploiting PCA classifiers to speaker recognition
Inverse optimal nonlinear recurrent high order neural observer
A virtual exploring mobile robot for left ventricle contour tracking
On-line bagging Negative Correlation Learning
Recurrent and Non-Recurrent Dynamic Network Paradigms: A Case Study
The Hodgkin-Huxley Neuristor
A constrained optimization algorithm for training locally recurrent globally feedforward neural networks
Efficient Subgraph Pruning & Embedding for Multi-Relation QA over Knowledge Graph
Mutual information for measuring independence of STLmax time series in the epileptic brain
Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks
Machine Learning to Identify Gender via Hair Elements
A hybrid model combining neural networks and decision tree for comprehension detection
Democratic Learning: A Distributed Machine Learning Framework with Collaborative Voting and Model Pruning for Privacy and Security
A Spiking Neural Network with Distributed Keypoint Encoding for Robust Sound Recognition
Automated topological co-clustering using fuzzy features partition
Stochastic Gradient Langevin Dynamics with Variance Reduction
Meta-learning from Learning Curves: Challenge Design and Baseline Results
Patch Trajectories for Visual Odometry in Dynamic scenes
Top-down strategies for hierarchical classification of transposable elements with neural networks
Hybrid and non-uniform quantization methods using retro synthesis data for efficient inference
Leveraging the Manycore Architecture of the Loihi Spiking Processor to Perform Quasi-Complete Constraint Satisfaction
ECA-SLAM: A Visual SLAM Utilizing Depth Features and Attention Mechanism
On a Possible Quantum Variational Autoencoder Circuit
DRAMA: A Dynamic Packet Routing Algorithm using Multi-Agent Reinforcement Learning with Emergent Communication
Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors
Training-Free Deepfake Detection: An Identity-Guided Approach Using Facial Embeddings
Implantable biomimetic microelectronics for the replacement of hippocampal memory function lost due to damage or disease
Support vector approaches for engine knock detection
Estimation of prediction intervals for the model outputs using machine learning
ANSWER: An unsupervised attractor network method for detecting salient words in text corpora
A Behavioral Recognition-Based Federated Learning Framework for IoT Environments
Generative Dual Representations Fusion Network for Document-level Event Argument Extraction
A novel statistical based feature extraction approach for the inner-class feature estimation using linear regression
MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging
Semantic facial features and expression manipulation using multi-level IC-DGAN framework
An Instance-Level Motion-Aware Graph Model for Multi-target Multi-camera Tracking
Emotion recognition in natural scene images based on brain activity and gist
Probabilistic Self-Organizing Maps for multivariate sequences
Multi-Label classifier based on Kernel Random Vector Functional Link Network
Goal Recognition in Latent Space
Overdispersed variational autoencoders
LGWAE: Label-Guided Weighted Autoencoder Network for Flexible Targeted Attacks of Deep Hashing
Sigma-pi implementation of a nearest neighbor classifier
How Image Corruption and Perturbation Affect Out-of-Distribution Generalization and Calibration
A Combination of LERT and CNN-BILSTM Models for Chinese Music Named Entity Recognition
Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems
Self-organizing map hardware accelerator system and its application to realtime image enlargement
Kernelized Constrained Gaussian Fields and Harmonic Functions for Semi-supervised Learning
Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification
Projection-based gradient descent training of radial basis function networks
LAPC: Large Language Model-Powered Adaptive Parameter Control for Evolutionary Algorithms
CECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing
Using permutations instead of student's t distribution for p-values in paired-difference algorithm comparisons
User Alignment Across Social Networks Based On ego-Network Embedding
Bots trained to play like a human are more fun
Relevance-Aware Anomalous Users Detection in Social Network via Graph Neural Network
Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation
Analyzing the Impact of Domain Similarity: A New Perspective in Cross-Domain Recommendation
Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging
Analysis of disease association and susceptibility for SNP data using emotional neural networks
A new transfer learning Boosting approach based on distribution measure with an application on facial expression recognition
A new mixed-signal feed-forward neural network with on-chip learning
CLMP: Cross Learning Multi-head Prediction Guided Source-Free Domain Adaptation for Medical Image Segmentation
Unified losses for multi-modal pose coding and regression
Trust-region learning for ICA
Protection ellipsoids for stability analysis of feedforward neural-net controllers
MD2VO: Enhancing Monocular Visual Odometry through Minimum Depth Difference
Generating Chinese Typographic and Handwriting Fonts from a Small Font Sample Set
A self-organizing map-based method for multi-label classification
SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems
MSPLD: Shilling Attack Detection Model Based on Meta Self-Paced Learning
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs
Investigating the possibility of applying EEG lossy compression to EEG-based user authentication
A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32
Iris recognition by a rotation spreading neural network
Learning dynamic weights for an ensemble of deep models applied to medical imaging classification
Spike train decoding scheme for a spiking neural network
DCT-GMM-FedSeg: Multimodal Medical Image Segmentation in a Federated Learning Framework
Neural networks based NARX models in nonlinear adaptive control
Kernel discriminant analysis using composite vectors
Inner-product implementations of optical associative memories
Feature Map Transform Coding for Energy-Efficient CNN Inference
Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation
Immune Systems Inspired Approach to Anomaly Detection and Fault Diagnosis for Engines
Beyond Augmentation: Empowering Model Robustness under Extreme Capture Environments
Adaptive selective kernel learning algorithms
Singular Value Maximization and Suppression: Addressing Imbalanced & Indistinct Classes for Domain Generalization
Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines
LSTM-Based Market-Driven Multi-Scale Time Fusion for Stock Price Forecasting
AMNET: Attention-Base Multiscale Network for Image-Text Matching
Decentralized indirect adaptive Fuzzy-Neural Multi-Model control of a distributed parameter bioprocess plant
Sample Self-Revised Network for Cross-Dataset Facial Expression Recognition
Design and stabilization of sampled-data neural-network-based control systems
Grey-Box Neural Network System Identification with Transfer Learning on Ball and Beam System
Few-Shot Action Recognition with A Transductive Maximum Margin Classifier
Multi-Task Modular Backpropagation For Dynamic Time Series Prediction
Nonmonotone methods for backpropagation training with adaptive learning rate
Transfer Learning for Temporal Link Prediction
A Novel Sequential Recommendation Model Based on the Filter and Model Augmentation
Enhanced forecasting approach: an integration of NGARCH and hybrid BPNN-weighted grey-C3LSP
Increased Reinforcement Learning Performance through Transfer of Representation Learned by State Prediction Model
Improving SVM based multi-label classification by using label relationship
Bayesian Training of Mixture Density Networks
HITS: Hierarchical Interpretable Time Series Classification via Multiple Instance Learning
A study of AdaBoost with SVM based weak learners
Application of PSO and MPSO in project scheduling of the first mining face in coal mining
A Hippocampal Model of Visually Guided Navigation as Implemented by a Mobile Agent
An Efficient Method based on Multi-view Semantic Alignment for Cross-view Geo-localization
Relationship between depth of decision trees and boosting performance
Integrated approach using neural networks for fault detection and diagnosis
Incorporating Forgetting in a Category Learning Model
Fast parallel simulated annealing for traveling salesman problem
Memorizing hierarchical temporal patterns in analog neuron networks
International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024
Mobi-Trans: A Hybrid Network with Attention Mechanism for Myocardial Infarction Localization
A Semi-supervised Based Framework for Data Stream Classification in Non-Stationary Environments
A maximum channel reuse scheme with Hopfield Neural Network based static cellular radio channel allocation systems
An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach
SDFDA: Modeling Spectral Distribution for Time-Series Forecasting Domain Adaptation
A Review of Mongolian Neural Machine Translation from the Perspective of Training
Transfer learning between texture classification tasks using Convolutional Neural Networks
Clustering-Aware Multiple Graph Matching with Cycle Consistency
Combining attributes to improve the performance of Naive Bayes for Regression
Confident Interpretations of Black Box Classifiers
Neural networks for web page classification based on augmented PCA
Beyond the Power of Mere Repetition: Forms of Social Communication on Twitter through the Lens of Information Flows and Its Effect on Topic Evolution
Combing genetic algorithm with neural network technique for protein inter-residue spatial distance prediction
Image Compression using an Enhanced Self Organizing Map Algorithm with Vigilance Parameter
Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational Transformers
Anomaly detection using data clustering and neural networks
Chebyshev Functional Link Neural Network-based modeling and experimental verification for photovoltaic arrays
Empirical Mode Decomposition - an introduction
Modelling working memory in neuron-astrocyte network
Scene Recognition via Object-to-Scene Class Conversion: End-to-End Training
A New Method for Response Integration in Modular Neural Networks using Type-2 Fuzzy Logic for Biometric Systems
Quality and Robustness of Generative Watermarking on Biomedical Data
A probabilistic and dynamic chart pattern recognition hybrid system applied to foreign exchange rate prediction
Disk Failure Prediction with Multiple Channel Convolutional Neural Network