yusuke1997/dblp-id-title huggingface dataset:
Deep Multimodal Reconstruction of Retinal Images Using Paired or Unpaired Data
Cyclo-VGAE: Dual-Mechanism Approach to GNN Robustness Against Noisy Labels
Quantitative Trading on Stock Market Based on Deep Reinforcement Learning
Comparison of two different PNN training approaches for satellite cloud data classification
Multi-view Feature Fusion Based on Self-attention Mechanism for Drug-drug Interaction Prediction
High-Throughput Privacy-Preserving GRU Network with Homomorphic Encryption
Deep Hybrid Real-Complex-Valued Convolutional Neural Networks for Image Classification
Rotor flux and torque estimator for vector controlled induction drive using ANN
A Multiscale Dynamic Temporal Convolution Network For Continuous Dimensional Emotion Recognition
Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning
Analysis and Improvement of convergence speed in kernel adaptive filters with nonlinear even cost function and pre-tuned dictionary
Electric Power Grids Meet High-dimensional Statistics: a Short Survey
Choosing in Support Vector Regression with Different Noise Models: Theory and Experiments
Stabilization of Neural Activity in Brain Circuit Model of Cerebral Cortex-Basal Ganglia by Chaotic Resonance Control
Unsupervised mining of under-resourced speech corpora for tone features classification
Learning to Cluster for Proposal-Free Instance Segmentation
Simple Legal Compliance: Automating Regulatory Audits with Explainable LLMs
Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines
Distributed Emergent Agreements with Deep Reinforcement Learning
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
Progressively introducing quantified biological complexity into a hippocampal CA3 model
CNN-based Prediction of Network Robustness With Missing Edges
Deep Target Session Interest Network for Click-Through Rate Prediction
Environmental informatics - long-lead flood forecasting using Bayesian neural networks
Your Eyes Say You're Lying: An Eye Movement Pattern Analysis for Face Familiarity and Deceptive Cognition
Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network
Top-Down Person Re-Identification With Siamese Convolutional Neural Networks
Feature selection using Deep Neural Networks
Multi-resolution support vector machine
Protein secondary structure prediction with a hybrid RNN/HMM system
A neural sorting network with O(1) time complexity
Revealing the Unseen: Explainable AI-Driven Masked Face Recognition
Neural network-based event-triggered control design of nonlinear continuous-time systems with variable sampling
CSF-DSRE:A Distantly Supervised Relation Extraction Model Based on Contextual Semantic Fusion
Model selection for k-nearest neighbors regression using VC bounds
Velotopic maps in well-log inversion
UTD-SCnet: Underwater Target Detection in Sonar Image based on Spatial and Channel Attention Net
DeepSqueezeNet-CRF: A Lightweight Deep Model for Semantic Image Segmentation
Efficacy of memristive crossbars for neuromorphic processors
Rolling Bearing Fault Diagnosis under Variable Working Conditions Based on Joint Distribution Adaptation and SVM
B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm
An Estimate of the Number of Samples to Convergence for Critic Algorithms
Balanced and Efficient Spiking Neural Networks
MSGIM: A Multi-grained Syntactic Graph Interaction Model for Multi-intent Spoken Language Understanding
Hierarchical federated learning based on ordinal patterns for detecting sedentary behavior
Clustered ensemble neural network for breast mass classification in digital mammography
Similarity Michaelis-Menten law pre-processing descriptor for face recognition
Directional Attention based Video Frame Prediction using Graph Convolutional Networks
Sabiá in Action: An Investigation of its Abilities in Aspect-Based Sentiment Analysis, Hate Speech Detection, Irony Detection, and Question-Answering
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering
A study on artificial neural network generalization capability
CSSD: Cascade Single Shot Face Detector
End-to-End Visuomotor Learning of Drawing Sequences using Recurrent Neural Networks
A privacy attack that removes the majority of the noise from perturbed data
Finite element analysis based Hopfield neural network model for solving nonlinear electromagnetic field problems
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution
Hardware system for biologically realistic, plastic, and real-time spiking neural network simulations
Building meta-learning algorithms basing on search controlled by machine complexity
Using artificial neural networks to improve hardware branch predictors
Enhancing Mandarin Lip Reading with a Multimodal Conformer and Structured State-Space Decoder
PTCR-PJF: A Person-Job Fit Model for Structured Resumes
Identifying fiber bundles with regularised к-means clustering applied to the grid-based data
Robust short term prediction using combination of linear regression and modified probabilistic neural network model
Generation of composed musical structures through recurrent neural networks based on chaotic inspiration
Bi-directional Modularity to Learn Visual Servoing Tasks
Collaborative clustering with heterogeneous algorithms
Confidence-Driven Semi-Supervised Partial Label Learning
Continuous Geodesic Self-Attention Models with Gated Fusion for Trajectory Prediction
Multi-Objective Data Clustering using Variable-Length Real Jumping Genes Genetic Algorithm and Local Search Method
A hybrid prognostics methodology for electronic products
Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies
COX-2 activity prediction in Chinese medicine using neural network based ensemble learning methods
Variable selection for regression problems using Gaussian mixture models to estimate mutual information
Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
I think therefore I feel: Possible neural mechanisms for knowledge-based pleasure
Character-Aware Convolutional Recurrent Networks with Self-Attention for Emotion Detection on Twitter
DeepOrigin: End-To-End Deep Learning For Detection Of New Malware Families
DTCR: Enhanced Graph Diffusion Models Alignment by Policy Gradient Regularization
K-associated optimal network for graph embedding dimensionality reduction
Rethinking Generalized Long-Tailed Classification: A Constrained Optimization Formulation and Exact Penalty Method
Clustering-based Evaluation Framework of Feature Extraction Approaches for ECG Biometric Authentication
Improved psi-APEX Algorithm for Digital Image Compression
Software quality prediction using Affinity Propagation algorithm
NEURO-BRA: A Bird Removal Approach for Wind Profiler Data Based on Quantum Neural Networks
Towards Ethical Dermatology: Mitigating Bias in Skin Condition Classification
Interpretation of river main-flow from remote sensing images: Studying on dynamic transmission cross-correlation method
Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection
Periodic Stacked Transformer-based Framework for Travel Time Prediction
Artificial agents perceiving and processing time
HADFF: Composed Image Retrieval Based on Hybrid-Attention and Dynamic Feature Fusion
Rethinking Benchmarks for Neuromorphic Learning Algorithms
WTM: Weighted Temporal Attention Module for Group Activity Recognition
DAV: An Adaptive Defense Framework for Model Extraction Attacks
Competitive Online Generalised Linear Regression with Multidimensional Outputs
Graph Transformer Networks for Predicting Anti-HIV Active Molecules
End-to-End Supervised Lung Lobe Segmentation
Ethics vs. Regulation: Converging Frameworks for Trustworthy Human-Centered AI in Biomedical Research
DRIP: DRop unImportant data Points - Enhancing Machine Learning Efficiency with Grad-CAM-Based Streaming Data Prioritization for On-Device Training
A Fuzzy Convolutional Neural Network for the Classification of Aerosol Particle Mass Spectral Patterns Generated by Single-Particle Mass Spectrometry
Simulated annealing for hierarchical pattern detection and seismic applications
Image Inpainting Network Combining Multi-granularity Discrimination and U-transformer
Novel algorithm for Bayesian network parameter learning with informative prior constraints
A neural architecture to address Reinforcement Learning problems
Mining Formative Evaluation Rules Using Learning Portfolios for Web-based Learning Systems
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry
First-order logic learning in Artificial Neural Networks
Abstractive Summarization with Keyword and Generated Word Attention
Three-MLP Ensemble Re-RX algorithm and recent classifiers for credit-risk evaluation
Differences in the subthreshold dynamics of leaky integrate-and-fire and Hodgkin-Huxley neuron models
TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs
Local Frequency Domain Transformer Networks for Video Prediction
Hubness-based Sampling Method for Nyström Spectral Clustering
EBAMQ: Exposure Bias Alleviation via Moment Matching for Question Generation
Disentangling Interest and Conformity Representation to Mitigate Popularity Bias for Sequential Recommendation
A new criterion of NN structure selection for financial forecasting
Single layer feedforward neural network based on lattice algebra
Thermal Ablation Treatment Detection by means of Machine Learning
Fast Competition Approach using Self Organizing Map for Lip-Reading Applications
Deciphering the Complex Characterization of Coding LncRNA
Topological Message Passing for Higher - Order and Long - Range Interactions
Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems
Affinity-Weighted RandAugment for Problem-Oriented Augmentation
A predictive model for recognizing human behaviour based on trajectory representation
Realizing Video Time Decoding Machines with recurrent neural networks
A Piecewise Linear Network Classifier
A Transformer-Based Hybrid Model for Multi-Indicator Numerical Prediction of Marine Environment
An EEG-Based brain-computer interface for emotion recognition
Fractional-Order Learning Systems
Protein flexibility modeling using kernel based methods
Deep learning price momentum in US equities
TGAT-DGL: Triple Graph Attention Networks on Dual-Granularity Level for Multi-party Dialogue Reading Comprehension
Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction
DMIMHD: Dynamic Modality Interaction for Multi-Modal Human Desire Understanding
DSD-GAN: Double-Scale Discriminators GAN for Enhanced Chinese Brush Baimiao Painting Colorization
Unsupervised Synthesis of Anomalies in Videos: Transforming the Normal
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
Adaptive Iterative Learning for Classification based on Feature Selection and Combination Voting
GAE-ISUMM: Unsupervised Graph-based Summarization for Indian Languages
Learning in Bi-level Markov Games
A Novel SVM-Based Blind Super-Resolution Algorithm
Challenge Training to Simulate Inference in Machine Translation
Multivariate k-nearest neighbour regression for time series data - A novel algorithm for forecasting UK electricity demand
A novelty detection approach to identify the occurrence of leakage in smart gas and water grids
TopoLink: Topology-enhanced Graph Transformer with Extended Persistent Homology For Link Prediction
Fake News Detection from Data Streams
Domain adaptation of POS taggers without handcrafted features
NP4Q: Nice Point for Post-training Quantization of Object Detection Models
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
The treatment of image boundary effects in CMAC networks
Joint Extraction of Entities and Relationships from Cyber Threat Intelligence based on Task-specific Fourier Network
AKD: Using Adversarial Knowledge Distillation to Achieve Black-box Attacks
A Comparative Study of Quaternion-Based Fusion Filtering Under Two Packet Dropout Models with Properness Conditions
Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee
Robust affine iterative closest point algorithm based on correntropy for 2D point set registration
A novel clustering oriented closeness measure based on neighborhood chain
A generalized asynchronous digital spiking neuron: Theoretical analysis and compartmental model
CRNN: Integrating classification rules into neural network
Fair and Efficient Federated Learning Client Selection via Dynamic Contribution Evaluation
Enhancing Neural Fictitious Self-Play for Symmetric Team Games: A Two-Stage Training Framework
Tensor Neural Controlled Differential Equations
Covariance descriptor based convolution neural network for saliency computation in low contrast images
A symbolic approach to the solution of F-classification problems
Sequence learning using the adaptive suffix trie algorithm
Bootstrap Gaussian Process classifiers for rotating machinery anomaly detection
A one-layer recurrentneural network for convex programming
Binary-perspective Asymmetrical Twin Gain: a Novel Evaluation Method for Question Generation
Reverse Engineering Algorithm for Neural Networks Applied to the Subthalamopallidal Network of the Basal Ganglia
Constrained Extreme Learning Machine: A novel highly discriminative random feedforward neural network
Designing a Muscle like System Based on PID Controller and Tuned by Neural Network
Executive function, rule selection, and probability judgment
Use of true-complement optical images for efficient associative memory implementation
On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems
The effects of training algorithms in MLP network on image classification
Deformable Dual-Path Networks for Chronic Obstructive Pulmonary Disease Staging in CT Images
An evolutionary method for creating ensembles with adaptive size neural networks for predicting hourly solar irradiance
FAformer: Exploring Frequency and Attention in Transformers for Long-Term Time Series Forecasting
An genetic approach to Support Vector Machines in classification problems
Orthogonal learning network for constrained principal component problem
MiDream: Multi-Domain Retrieval Enhancement with Mixture-of-Experts
Relevance feedback with active learning for document retrieval
The controlled conjugate gradient type trajectory-following neural net for minimization of nonconvex functions
A neurocontrol for automatic reconstruction of facial displays
Adaptive delay learning in SpikeProp based on delay convergence analysis
Efficient Framework with Pruning and Factorization for Vision Transformer
Improving Sociable Conversational Recommender Systems via Topic-related Preference Graph
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
Synthesis of Self-Replication Cellular Automata Using Genetic Algorithms
Rules for information maximization in spiking neurons using intrinsic plasticity
A new approach for event detection using k-means clustering and neural networks
Combining Multi-Head Attention and Sparse Multi-Head Attention Networks for Session-Based Recommendation
Spikemoid: Updated Spike-based Loss Methods for Classification
Scene Text Recognition by Attention Network with Gated Embedding
Grid-Based RFID Localization Using Tag Read Count And Received Signal Strength
TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers
LoFT: LoRA-Based Efficient and Robust Fine-Tuning Framework for Adversarial Training
Context-aware knowledge modelling for decision support in e-health
A Synchro-phasor Assisted Optimal Features Based Scheme for Fault Detection and Classification
Dynamics of lateral interaction networks
User Recognition of Devices on the Internet based on Heterogeneous Graph Transformer with Partial Labels
Fourier fuzzy neural network for clustering of visual objects based on their gross shape and its application to handwritten character recognition
GCN-based End-to-End Model for Comparative Opinion Quintuple Extraction
An optic-fiber fence intrusion recognition system using the optimized curve fitting model based on the SVM method
Frontal Alpha Asymmetry as an Index of Willingness to Interact with Virtual Agents in Users with Depressive Symptoms
Multigrid-Inspired Graph Neural Networks for Selection of Solvers and Preconditioners in Sparse Linear Systems
IDF: Individual Difference-aware Framework for Cross-Patient Image Segmentation
Design and simulation of adaptive wavelet neuro control with UUB stability
Visualising large-scale neural network models in real-time
Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device
Evolving recurrent neural networks are super-Turing
Hypergraph Neural Networks with Logic Clauses
Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer?
Dirichlet Mixture of Gaussian Processes with Split-kernel: An Application to Predicting Disease Course in Multiple Sclerosis Patients
Domain Generalization via Maximum Intra-class Average Diameter Minimization
Odor recognition in an attractor network model of the mammalian olfactory cortex
DH-YOLO: Double-Head YOLO for Detecting Refrigerant Leakage Smoke in Air Conditioners
A simple probabilistic spiking neuron model with Hebbian learning rules
Panoramic background modeling for PTZ cameras with competitive learning neural networks
Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers
Optimization of a Convolutional Neural Network Using a Hybrid Algorithm
A GPU based Parallel Hierarchical Fuzzy ART clustering
Unbiased Learning for Hierarchical Models
From "What" to "When" - a Spiking Neural Network Predicting Rare Events and Time to their Occurrence
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework
Faster and Simpler SNN Simulation with Work Queues
Uncertainty in the Output of Artificial Neural Networks
Classifying impulse radar waveforms using principle components analysis and neural networks
Retrieval Augmentation for Deep Neural Networks
Medical Image Compression by 'Neural-Gas' Network and Principal Component Analysis
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction
Pluralistic ignorance: Emergence and hypotheses testing in a multi-agent system
Layered neural network training with model switching and hidden layer feature regularization
Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties
A Method of Path Planning and Intelligent Exploration for Robot Based on Deep Reinforcement Learning
Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training
PoseTalker:Talking Head Synthesis via Pose-Driven 3D Gaussian Splatting
Transferred correlation learning: An incremental scheme for neural network ensembles
On-Line Learning Control by Association and Reinforcement
Training the SOFM efficiently: an example from intrusion detection
Uncorrelated transferable feature extraction for signal classification in brain-computer interfaces
Denoising GER: A Noise-Robust Generative Error Correction with LLM for Speech Recognition
Hierarchical neural net for learning control of a robot's arm and gripper
Gaussian processes of nonlinear diffusion filtering
A Feature Fusion Analysis Model of Heterogeneous Data Based on Tensor Decomposition
Investigating the influence of RePART in ensemble systems designed by boosting
Prediction of electric power consumption for commercial buildings
Global behavior of neural error correction
Stable Network Morphism
Analysis of fMRI Time Series with Mixtures of Gaussians
Low-cost volume estimation by two-view acquisitions: A computational intelligence approach
Semantic Subspace Learning with conditional significance vectors
Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network
Contribution of data complexity features on dynamic classifier selection
HAVEN: From Human Guidance to Assistant by Evolution Network in Vision-and-Language Navigation
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand
Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network
DNWHCN: Dynamic Node Weights-based Hypergraph Convolution Network for Neurodevelopmental Disorder Classification
Protein sequence classification using extreme learning machine
Supervised topic regression via experts
Real-Time Assessment of Trust using EEG and Artificial Neural Network
Multi-Agent Self-Motivated Learning via Role Representation
Geometry-Guided Behavior Pattern Adaptation for Trajectory Prediction in Unseen Scenes
Vector quantized radial basis function neural network with embedded multiple local linear models for financial prediction
k-Odd One Clear (k-OOC), A Novel GPU Kernel That Improves Quantization Accuracy And Speed Of GPTQ Algorithm
Comparison between theory and simulation for the two-level decoupled Hamming associative memory
A first approach using neural network to estimating soil bulk density of Urucu basin in Central Amazon-Brazil
Beyond-Visual-Range Air Combat Tactics Auto-Generation by Reinforcement Learning
A neural network for optimum Neyman-Pearson classification
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve
Two-Stage Loss and Anaphor Information Fusion for Document-Level Relation Extraction
HSViT: Horizontally Scalable Vision Transformer
Structural Complexity and Performance of Support Vector Machines
Mimicking the worm - An adaptive spiking neural circuit for contour tracking inspired by C. Elegans thermotaxis
Convolutive non-negative sparse coding
Approximate policy iteration with unsupervised feature learning based on manifold regularization
Fast Interactive Video Object Segmentation with Graph Neural Networks
Fixed-size Pegasos for hinge and pinball loss SVM
Clustered Neural Dynamics Identify Motifs for Chemotaxis in Caenorhabditis elegans
Near Optimal Output-Feedback Control of Nonlinear Discrete-time Systems in Nonstrict Feedback Form with Application to Engines
Convolutional Neural Networks applied in the monitoring of metallic parts
On Fooling Facial Recognition Systems using Adversarial Patches
Training cost-sensitive Deep Belief Networks on imbalance data problems
Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach
Enhancing bidirectional association between deep image representations and loosely correlated texts
Forest Fire Control with Learning from Demonstration and Reinforcement Learning
Otem-IGCD: An Optimal Transport-based EM Framework for Imbalanced Generalized Category Discovery
Bidirectional Multitask Learning for Non-Autoregressive Machine Translation
Multivariable Adaptive Control of Nonlinear Unknown Dynamic Systems Using Recurrent Neural-Network
The evolving tree, a hierarchical tool for unsupervised data analysis
Evaluating deep learning in chum prediction for everything-as-a-service in the cloud
A Simplified ICA Based Denoising Method
Evolving granular classification neural networks
A quantum information retrieval approach to memory
An Unsupervised Approach for Simultaneous Visual Odometry and Single Image Depth Estimation
Exploring the Trade-Off between Model Complexity and Numerical Precision for Efficient Edge AI Inference
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier