yusuke1997/dblp-id-title huggingface dataset:
Semi-supervised feature selection based on pairwise constraint-guided dual space latent representation learning and double sparse graphs discriminant
Global Wasserstein Margin maximization for boosting generalization in adversarial training
Beyond games: a systematic review of neural Monte Carlo tree search applications
Two grouping-based metaheuristics for clique partitioning problem
Sample hardness guided softmax loss for face recognition
L-RCap: RNN-capsule model via label semantics for MLTC
A reusable AI-enabled defect detection system for railway using ensembled CNN
An adaptive over-sampling method for imbalanced data based on simultaneous clustering and filtering noisy
A new population initialization approach based on Metropolis-Hastings (MH) method
Diagnosis of Active Systems by Automata-Based Reasoning Techniques
A fuzzy particle swarm optimization algorithm for computer communication network topology design
EKPN: enhanced knowledge-aware path network for recommendation
Semi-supervised multitask learning using convolutional autoencoder for faulty code detection with limited data
Towards robust stacked capsule autoencoder with hybrid adversarial training
LegalATLE: an active transfer learning framework for legal triple extraction
Cooperative particle swarm optimization for multiobjective transportation planning
Rough sets for adapting wavelet neural networks as a new classifier system
A novel multi-featured metric for adaptive routing in mobile ad hoc networks
Bat4CEP: a bat algorithm for mining of complex event processing rules
Correction To: Dirichlet stochastic weights averaging for graph neural networks
A novel ground truth inference algorithm based on instance similarity for crowdsourcing learning
Small-target ship detection in SAR images based on densely connected deep neural network with attention in complex scenes
Hybrid fuzzy polynomial neural networks with the aid of weighted fuzzy clustering method and fuzzy polynomial neurons
Multi-source medical knowledge adaptive fusion network for combinatorial medication recommendation
RSMformer: an efficient multiscale transformer-based framework for long sequence time-series forecasting
Neural Networks and Structured Knowledge: Knowledge Representation and Reasoning
Multi-granularity representation learning for sketch-based dynamic face image retrieval
NIRN: Self-supervised noisy image reconstruction network for real-world image denoising
A Dual-input Fault Diagnosis Model Based on SE-MSCNN for Analog Circuits
Learning spatiotemporal relationships with a unified framework for video object segmentation
Learning domain invariant and specific representation for cross-domain person re-identification
Spatio-temporal unsupervised individual clustering for operating room videos
Specifying distributed multi-agent systems in chemical reaction metaphor
A hybrid-driven remaining useful life prediction method combining asymmetric dual-channel autoencoder and nonlinear Wiener process
Adaptive differential evolution with directional strategy and cloud model
A framework for choosing an appropriate fuzzy set extension in modeling
Generalizing predicates with string arguments
Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis
Temporality and Context for detecting adverse drug reactions from longitudinal data
Weighted mean field reinforcement learning for large-scale UAV swarm confrontation
Robust expected model change for active learning in regression
Effective sanitization approaches to protect sensitive knowledge in high-utility itemset mining
Using Character Motives to Drive Plot Resolution in Interactive Stories
Retraction Note: A DES-based group decision model for group decision making with large-scale alternatives
Picture inference system: a new fuzzy inference system on picture fuzzy set
Multi-scale spatiotemporal normality learning for unsupervised video anomaly detection
Financial time series forecasting based on momentum-driven graph signal processing
Spatial-temporal synchronous graphsage for traffic prediction
Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing
Local structure consistency and pixel-correlation distillation for compact semantic segmentation
TGR: Neural-symbolic ontological reasoner for domain-specific knowledge graphs
Service recommendation driven by a matrix factorization model and time series forecasting
An improved graph attention network combined with reinforcement learning for capacitated vehicle routing problem
HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity
TRSD: tensor spatial reconstruction and spectral metric decision fusion for hyperspectral anomaly detection with noise
Simple yet effective 3D ego-pose lift-up based on vector and distance for a mounted omnidirectional camera
Self-supervised learning for intelligent disease diagnosis using audio signals: beyond copd to a spectrum of diseases
Continual learning via region-aware memory
Using Disruptive Selection to Maintain Diversity in Genetic Algorithms
LExCI: A framework for reinforcement learning with embedded systems
Weighted mean of vectors algorithm with neighborhood information interaction and vertical and horizontal crossover mechanism for feature selection
Screening goals and selecting policies in hierarchical reinforcement learning
Unsupervised anomaly detection based method of risk evaluation for road traffic accident
Efficient GA Based Techniques for Classification
Clustering-based attack detection for adversarial reinforcement learning
Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability
Online reviews-oriented hotel selection: A large-scale group decision-making method based on the expectations of decision makers
Multi-objective breast cancer classification by using multi-expression programming
A multilevel object pose estimation algorithm based on point cloud keypoints
CMCTS: A Constrained Monte Carlo Tree Search framework for mathematical reasoning in large language model
Incorporating structured emotion commonsense knowledge and interpersonal relation into context-aware emotion recognition
A flexible edge matching technique for object detection in dynamic environment
Efficient algorithms to mine concise representations of frequent high utility occupancy patterns
Weight grouping operators selection strategy for a multiobjective evolutionary algorithm based on decomposition
CMMTSE: Complex Road Network Map Matching Based on Trajectory Structure Extraction
Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI
Intelligent forecasting algorithm of power industry expansion based on time series and entropy weight method
Editorial for the special issue: Knowledge-based systems and data science
Membership score machine for highly nonlinear classification for small data
Extreme learning machine optimized by multi-strategy improved weighted mean of vectors algorithm for intrusion detection classification
Rule reductions of decision formal context based on mixed information
3D object detection algorithm based on multi-sensor segmental fusion of frustum association for autonomous driving
A multi-modal dataset for gait recognition under occlusion
A multimodal fusion-based deep learning framework combined with local-global contextual TCNs for continuous emotion recognition from videos
Many-objective optimization based path planning of multiple UAVs in oilfield inspection
Neural Nets Trained by Genetic Algorithms for Collision Avoidance
Hiding collaborative recommendation association rules
Temporal probabilistic measure for link prediction in collaborative networks
Probabilistic approach for QoS-aware recommender system for trustworthy web service selection
Automated diagnosis of cervical spine physiological curvature based on deep neural networks with transformer by using nmODE
A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters
A transfer-based decision-making method based on expert risk attitude and reliability
BARS: a benchmark for airport runway segmentation
LAMR: learning automata based multicast routing protocol for multi-channel multi-radio wireless mesh networks
Detecting small group activities from multimodal observations
Learning vision based autonomous lateral vehicle control without supervision
Dynamic Kernel CNN-LR model for people counting
Active object tracking using context estimation: handling occlusions and detecting missing targets
WMFusion: a W-shaped dual encoder and single decoder network for multimodal medical image fusion
Evaluation on the effect of water environment treatment -A new exploration considering time based on the RCS
A robust interactive entertainment robot for robot magic performances
A review on the effectiveness of recent approaches to few-shot learning for image analysis
A diverse/converged individual competition algorithm for computationally expensive many-objective optimization
ClotheDreamer: Text-guided garment generation with 3D gaussians
A coevolution algorithm based on two-staged strategy for constrained multi-objective problems
A large scale group decision making with expert guidance via discrete conditional variational autoencoder
A new multivariate decomposition-ensemble approach with denoised neighborhood rough set for stock price forecasting over time-series information system
Simulated Evolution and Learning: An Introduction
An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing
A density estimation approach for detecting and explaining exceptional values in categorical data
SentimentMapper: A framework for mapping of sentiments towards disaster response using social media data
SEIAQRDT model for the spread of novel coronavirus (COVID-19): A case study in India
Improvement and application of hybrid real-coded genetic algorithm
A novel approach for predicting the spread of APT malware in the network
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Multi-agent platform to support trading decisions in the FOREX market
FedUTN: federated self-supervised learning with updating target network
Multi-view learning based on product and process metrics for software defect prediction
A hybrid fuzzy filtering - fuzzy thresholding technique for region of interest detection in noisy images
Adaptive inverse multilayer fuzzy control for uncertain nonlinear system optimizing with differential evolution algorithm
Searching sharing relationship for instance segmentation decoder
Behaviour based on decision matrices for a coordination between agents in a urban traffic simulation
A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness
Firefighting multi strategy marine predators algorithm for the early-stage Forest fire rescue problem
Fuzzy Inductive Learning Strategies
Restoration of turbulence-degraded images using the modified convolutional neural network
A probability estimation-based feature reduction and Bayesian rough set approach for intrusion detection in mobile ad-hoc network
TPE-MM: Thumbnail preserving encryption scheme based on Markov model for JPEG images
Convolutional neural networks for accurate identification of mining remains from UAV-derived images
Dual-relational attention network for vehicle re-identification
Multi-criteria expertness based cooperative method for SARSA and eligibility trace algorithms
A personalized recommendation framework through exploiting jump-enhanced random walk based multiple heterogeneous graph neural networks
A fast divisive community detection algorithm based on edge degree betweenness centrality
QUBICS: A General Quantity Base Management System
Graph attention network-optimized dynamic monocular visual odometry
HFADE-FMD: a hybrid approach of fireworks algorithm and differential evolution strategies for functional module detection in protein-protein interaction networks
A novel deep learning approach for intelligent bearing fault diagnosis under extremely small samples
Bilingual attention based neural machine translation
Optimal distributed parallel algorithms for deep learning framework Tensorflow
Fusion of local and global features for effective image extraction
Fusion of energy sensors with missing values
A two-stage knowledge graph completion based on LLMs' data augmentation and atrous spatial pyramid pooling
Leveraging BiLSTM-GAT for enhanced stock market prediction: a dual-graph approach to portfolio optimization
Semi-supervised node classification via graph learning convolutional neural network
Deep dependence in hydroclimatological variables
Dynamic ridge polynomial neural network with Lyapunov function for time series forecasting
A hybrid and scalable multi-agent approach for patient scheduling based on Petri net models
A new hybrid localization approach in wireless sensor networks based on particle swarm optimization and tabu search
Multimodal contextual transformer augmented fusion for emotion recognition
Employing sensor repositioning to refine spatial reasoning in an industrial robotic environment
Can digital games help us identify our skills to manage abstractions?
An integrated decision framework for evaluating and recommending health care services
An optimized hybrid algorithm in term of energy and performance for mapping real time workloads on 2d based on-chip networks
A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groups
WMBAL: weighted minimum bounds for active learning
Ant colony algorithm for satellite control resource scheduling problem
Residual learning based densely connected deep dilated network for joint deblocking and super resolution
ADSCNet: asymmetric depthwise separable convolution for semantic segmentation in real-time
Interpreting the black box of supervised learning models: Visualizing the impacts of features on prediction
Guest Editorial: Artificial Intelligence and Environmental Applications
Developing a BERT based triple classification model using knowledge graph embedding for question answering system
Computer Generated Holograms for Optical Neural Networks
Applied artificial intelligence framework for smart evacuation in industrial disasters
Graph fusion network for multi-oriented object detection
Global-local neighborhood based network representation for citation recommendation
Optimal data fusion based on information quality function
Open-world knowledge embedding in a low-text resource environment
Semantic schema theory for genetic programming
FSfRT: Forecasting System for Red Tides
A multi-population differential evolution with best-random mutation strategy for large-scale global optimization
Symbolical Reasoning about Numerical Data: A Hybrid Approach
MRS-Net: an image inpainting algorithm with multi-scale residual attention fusion
A Grey-Based Nearest Neighbor Approach for Missing Attribute Value Prediction
Discretisation of Continuous Commercial Database Features for a Simulated Annealing Data Mining Algorithm
Rough sets-based tri-trade for partially labeled data
Slither: finding local dense subgraphs measured by average degree
Multi-objective decomposition optimization algorithm based on adaptive weight vector and matching strategy
Survey on Tabular Data Privacy and Synthetic Data Generation in Industry 4.0
A cross-granularity feature fusion method for fine-grained image recognition
Authorship Attribution with Support Vector Machines
Retraction Note: Online education satisfaction assessment based on cloud model and fuzzy TOPSIS
Stochastic variance reduced gradient with hyper-gradient for non-convex large-scale learning
HOB-net: high-order block network via deep metric learning for person re-identification
Knowledge workers mental workload prediction using optimised ELANFIS
Nested hybrid evolutionary model for traffic signal optimization
Granularity-driven trisecting-and-learning models for interval-valued rule induction
Multiple instance learning with hierarchical discrimination and smoothing attention for histopathological diagnosis
The property analysis of evolutionary algorithms applied to spanning tree problems
A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories
Two-stage single image reflection removal with reflection-aware guidance
Exploring refined boundaries and accurate pseudo-labels for semi-supervised medical image segmentation
Cross-language font style transfer
Optimal transport-based fusion of two-stream convolutional networks for action recognition
Joint user mention behavior modeling for mentionee recommendation
Self-supervised reflectance-guided 3d shape reconstruction from single-view images
DESAC: differential evolution sample consensus algorithm for image registration
An Intelligent Man-Machine Dialogue System Based on AI Planning
Zero-small sample classification method with model structure self-optimization and its application in capability evaluation
Forecasting Model for the Number of Breeding Sows Based on Pig's Months of Age Transfer and Improved Flower Pollination Algorithm-Back Propagation Neural Network
DeepMC: DNN test sample optimization method jointly guided by misclassification and coverage
Recognizing unknowns: a survey on visual open-set recognition
Unsupervised meta-learning via spherical latent representations and dual VAE-GAN
ISWP: Novel high-fidelity adversarial examples generated by incorporating invisible and secure watermark perturbations
An emotional preference ensemble clustering based on directional increment and non-linear cosine adaptive crossover and mutation
A temporal-spatial encoder convolutional network model for multitasking prediction
Approximation of CIEDE2000 color closeness function using Neuro-Fuzzy networks
Chemical reaction optimization for RNA structure prediction
Privacy constrained fairness estimation for decision trees
Image robust recognition based on feature-entropy-oriented differential fusion capsule network
A computer-aided diagnosis system using Tchebichef features and improved grey wolf optimized extreme learning machine
Correction to: Heterogeneous ensemble algorithms for function optimization
Ontology-based computational intelligent multi-agent and its application to CMMI assessment
Adaptive local recalibration network for scene recognition
Dynamic feature selection method with minimum redundancy information for linear data
Using composite attribute similarity multi-graph convolutional network for recommendation
Discovering periodic cluster patterns in event sequence databases
A neighborhood weighted-based method for the detection of outliers
Self attention mechanism of bidirectional information enhancement
GAEMTBD: Genetic algorithm based entity matching techniques for bibliographic databases
Fuzzy clustering algorithm for outlier-interval data based on the robust exponent distance
Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies
Two novel style-transfer palmprint reconstruction attacks
Maximizing winning trades using a novel RSPOP fuzzy neural network intelligent stock trading system
Anomaly detection using piecewise aggregate approximation in the amplitude domain
Feature selection under budget constraint in medical applications: analysis of penalized empirical risk minimization methods
An ensemble algorithm based on adaptive chaotic quantum-behaved particle swarm optimization with weibull distribution and hunger games search and its financial application in parameter identification
An improved conflicting-evidence combination method based on the redistribution of the basic probability assignment
Nash equilibrium inspired greedy search for solving flow shop scheduling problems
Spatial-temporal multi-factor fusion graph neural network for traffic prediction
Plan merging by reuse for multi-agent planning
Ant colony algorithm with Stackelberg game and multi-strategy fusion
Bayesian inference based learning automaton scheme in Q-model environments
Application of improved bat algorithm in optimal power flow problem
Fault diagnosis of diesel engine information fusion based on adaptive dynamic weighted hybrid distance-taguchi method (ADWHD-T)
Ternary symmetric fusion network for camouflaged object detection
An intelligent method to block e-mail bombs
Spatial-temporal graph neural network based on gated convolution and topological attention for traffic flow prediction
A data-centric framework for combating domain shift in underwater object detection with image enhancement
Three-dimensional DenseNet self-attention neural network for automatic detection of student's engagement
Using convolutional neural networks for character verification on integrated circuit components of printed circuit boards
MOGOA algorithm for constrained and unconstrained multi-objective optimization problems
MultiGranDTI: an explainable multi-granularity representation framework for drug-target interaction prediction
A new evolutionary neural networks based on intrusion detection systems using multiverse optimization
Cross-modal guides spatio-temporal enrichment network for few-shot action recognition
Multi-layer noise reshaping and perceptual optimization for effective adversarial attack of images
Automatic and robust hand gesture recognition by SDD features based model matching
Optimized Bayesian adaptive resonance theory mapping model using a rational quadratic kernel and Bayesian quadratic regularization
SIVLC: improving the performance of co-training by sufficient-irrelevant views and label consistency
An affective learning agent with Petri-net-based implementation
Dual projection learning with adaptive graph smoothing for multi-label classification
TransDiff: medical image segmentation method based on Swin Transformer with diffusion probabilistic model
Design and implementation of a web-based fuzzy expert system for diagnosing depressive disorder
Credible nodes selection in mobile crowdsensing based on GAN
An adaptive boosting algorithm based on weighted feature selection and category classification confidence
Intelligent stock trading system with price trend prediction and reversal recognition using dual-module neural networks
Graph reconstruction and attraction method for community detection
MFNet: Multi-level fusion aware feature pyramid based multi-view stereo network for 3D reconstruction
Make aspect-based sentiment classification go further: step into the long-document-level
Reinforced cuckoo search algorithm-based multimodal optimization
The Hopfield-Tank neural network applied to the mobile agent planning problem
Enhancing histopathological image classification through multi-view momentum encoding learning
Self-supervised learning radiomics nomogram integrating anatomical structures can identify cerebellar hypoplasia in prenatal ultrasound
Explainable deep neural networks for novel viral genome prediction
Discrete-valued belief structures combination and normalization using evidential reasoning rule
Improved data-driven model-free adaptive control method for an upper extremity power-assist exoskeleton
An improved distance-based total uncertainty measure in belief function theory
Big data fusion with knowledge graph: a comprehensive overview
Optimal transport strategy-based meta-attention network for fault diagnosis of rotating machinery with zero sample
Structural attention network for graph
A repetitive feature selection method based on improved ReliefF for missing data
Common-possible concept analysis: A granule description viewpoint
HT-STNet: a hierarchical Tucker decomposition and spatio-temporal LSTM network for accurate and efficient shared mobility demand forecasting on sparse data
An efficient implicit regularized Lagrangian twin support vector regression
A non-parametric method to determine basic probability assignment for classification problems
A gamma type-2 defuzzification method for solving a solid transportation problem considering carbon emission
Supply Estimation Using Coevolutionary Genetic Algorithms in the Spanish Electrical Market