yusuke1997/dblp-id-title huggingface dataset:
Retraction Note: A framework to evaluate the barriers for adopting the internet of medical things using the extended generalized TODIM method under the hesitant fuzzy environment
Joint local structure preservation and redundancy minimization for unsupervised feature selection
Confidence-adapted meta-interaction for unsupervised person re-identification
The relationship among some special concepts from the perspective of formal context restoration
Multi-view stereo network with point attention
A perception-enhancement network for accurate multi-person 2D pose estimation
Automatic fabric defect detection using a wide-and-light network
Taxi demand forecasting based on the temporal multimodal information fusion graph neural network
Consensus of a new multi-agent system with impulsive control which can heuristically construct the communication network topology
MSDM: multi-space diffusion with dynamic loss weight
Domain adaptive person re-identification with memory-based circular ranking
Enhanced θ dominance and density selection based evolutionary algorithm for many-objective optimization problems
A behavior-selection based Rao algorithm and its applications to power system economic load dispatch problems
An innovative deep learning-driven technique for restoration of lost high-density surface electromyography signals
SCSA: Evaluating skyline queries in incomplete data
A recommendation approach for programming online judges supported by data preprocessing techniques
Local feature extraction network with high correspondences for 3d point cloud registration
A trust evaluation scheme for complex links in a social network: a link strength perspective
Mining clique frequent approximate subgraphs from multi-graph collections
Multiscale feature aggregation network for aspect sentiment triplet extraction
Explainable deep learning for image-driven fire calorimetry
A hybrid discriminant embedding with feature selection: application to image categorization
Evidential fully convolutional network for semantic segmentation
Soft computing techniques applied to finance
A new irregular cellular learning automata-based evolutionary computation for time series link prediction in social networks
Graph convolutional networks: analysis, improvements and results
A novel robust adaptive subspace learning framework for dimensionality reduction
A new hybrid stability measure for feature selection
Cell modeling with reusable agent-based formalisms
Multichannel environmental sound segmentation
A time series long-short term codec for compression and representation
Neural-FCM: a deep learning approach for weight matrix optimization in Fuzzy Cognitive Map classifiers
A binarization approach to model interactions between categorical predictors in Generalized Linear Models
Efficiently mining frequent itemsets applied for textual aggregation
Occluded object tracking using object-background prototypes and particle filter
TBTF: an effective time-varying bias tensor factorization algorithm for recommender system
Unsupervised feature learning based on autoencoder for epileptic seizures prediction
Similarity measuring strategy of image patterns based on fuzzy entropy and energy variations in intelligent robot's manipulative task
Efficient multi-view clustering networks
Online deep learning based on auto-encoder
Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry
A symmetric neural cryptographic key generation scheme for Iot security
Multimodal prompt learning with selective feature fusion: towards robust cross-modal alignment
Joint spatial-frequency deepfake detection network based on dual-domain attention-enhanced deformable convolution
Logic of Association Rules
A robust formulation for twin multiclass support vector machine
BatchedGreedy: A batch processing approach for influence maximization with candidate constraint
Trajectory planning with multiplatform spacetime RRT
Domain adaptive segmentation method for mechanical assembly based on iterative loops
Low-light image enhancement via an attention-guided deep Retinex decomposition model
Fuzzy-time-series network used to forecast linear and nonlinear time series
An improved genetic algorithm for numerical function optimization
Image super-resolution with densely connected convolutional networks
Bird eye-view to street-view: A survey
Deformable and residual convolutional network for image super-resolution
LiteSpiralGCN: Lightweight 3D hand mesh reconstruction via spiral graph convolution
A recurrent neural network for urban long-term traffic flow forecasting
Enhanced decision framework for two-player zero-sum Markov games with diverse opponent policies
CLA-DE: a hybrid model based on cellular learning automata for numerical optimization
Meta-reinforcement learning based few-shot speech reconstruction for non-intrusive speech quality assessment
Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting
Artificial electric field algorithm with inertia and repulsion for spherical minimum spanning tree
Long-tailed classification by efficient contrast learning with high quality and high relevance latent features
A Model of Partially Observable State Game and its Optimality
An overview of probabilistic preference decision-making based on bibliometric analysis
Enhanced spatial-temporal freedom for video frame interpolation
Support vector machine classification over encrypted data
Online learning from capricious data streams via shared and new feature spaces
A document image classification system fusing deep and machine learning models
Dynamic-boosting attention for self-supervised video representation learning
An LSTM approach to predict emergency events using spatial features
EFM: evolutionary fuzzy model for dynamic activities recognition using a smartphone accelerometer
Concept factorization with adaptive graph learning on Stiefel manifold
Golden ball: a novel meta-heuristic to solve combinatorial optimization problems based on soccer concepts
Multi-view denoising contrastive learning for bundle recommendation
Identification of uncertainty and decision boundary for SVM classification training using belief function
WOLIF: An efficiently tuned classifier that learns to classify non-linear temporal patterns without hidden layers
Multilevel thresholding image segmentation using meta-heuristic optimization algorithms: comparative analysis, open challenges and new trends
Object detection based on knowledge graph network
Flexible data representation with feature convolution for semi-supervised learning
A constrained non-linear optimization model for fuzzy pairwise comparison matrices using teaching learning based optimization
Intelligent team formation and player selection: a data-driven approach for football coaches
Power-GNN: a graph over-sampling method to mitigate power-law distribution in graph neural networks
Multi swarm optimization algorithm with adaptive connectivity degree
Generating clusters of similar sizes by constrained balanced clustering
CLCFE: complementary loss coupling for feature-enhanced few-shot fine-grained visual recognition
A new uncertainty processing method for trajectory prediction
Proformer: a scalable graph transformer with linear complexity
Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data
A novel design method for dual-passband IIR digital filters
Incomplete multi-view clustering via self-attention networks and feature reconstruction
Instance-Based Regression by Partitioning Feature Projections
Using artificial intelligence techniques for COVID-19 genome analysis
Statistical initialization of intrinsic K-means clustering on homogeneous manifolds
Learning a spatial-temporal symmetry network for video super-resolution
A novel bilevel model and solution algorithms for multi-period interdiction problem with fortification
Double enhancement learning for explicit internal representations: unifying self-enhancement and information enhancement to incorporate information on input variables
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
VFE: A large-scale video future event description dataset for evaluating video temporal prediction
A new medical diagnosis method based on Z-numbers
Pearson correlation coefficient-based pheromone refactoring mechanism for multi-colony ant colony optimization
New fast feature selection methods based on multiple support vector data description
Formation control of multiple mecanum-wheeled mobile robots with physical constraints and uncertainties
Spatial dynamic graph convolutional network for traffic flow forecasting
New evolutionary optimization method based on information sets
Novel multimodal contrast learning framework using zero-shot prediction for abnormal behavior recognition
Model and algorithm of quantum-inspired neural network with sequence input based on controlled rotation gates
Mining frequent closed inter-sequence patterns efficiently using dynamic bit vectors
Decomposition-based multiobjective evolutionary algorithm with density estimation-based dynamical neighborhood strategy
A synthesis approach of fast robust MPC with RBF-ARX model to nonlinear system with uncertain steady status information
Integrated Fault Detection and Isolation: Application to a Winery's Wastewater Treatment Plant
Design and analysis of a large-scale COVID-19 tweets dataset
Feature selection based on term frequency deviation rate for text classification
Statistical limitations of sensitive itemset hiding methods
Deep reinforcement learning for imbalanced classification
Taxonomy-aware collaborative denoising autoencoder for personalized recommendation
Exploring complex multivariate probability distributions with simple and robust bayesian network topology for classification
Transformer-based few-shot object detection in traffic scenarios
Joint pyramid attention network for real-time semantic segmentation of urban scenes
Multi-start team orienteering problem for UAS mission re-planning with data-efficient deep reinforcement learning
A novel personalized recommendation algorithm by exploiting individual trust and item's similarities
DDSPNet: A Two-stage defect detection and severity prediction model for industrial products
Applying temporal dependence to detect changes in streaming data
Multi-variable distributed backtracking with sessions
Ontology-based user profile learning
MPBE: Multi-perspective boundary enhancement network for aspect sentiment triplet extraction
Retraction Note: Three-way selection random forest algorithm based on decision boundary entropy
Efficient cancellable multi-biometric recognition system based on deep learning and bio-hashing
BILEAT: a highly generalized and robust approach for unified aspect-based sentiment analysis
A Recency Inference Engine for Connectionist Knowledge Bases
Dynamic uncertain causality graph based on Intuitionistic fuzzy sets and its application to root cause analysis
Deep reinforcement learning portfolio model based on mixture of experts
Automatic detection of obstructive sleep apnea through nonlinear dynamics of single-lead ECG signals
On a system of understanding assembly illustrations in an assembly manual
Link prediction in co-authorship networks based on hybrid content similarity metric
A new dual weights optimization incremental learning algorithm for time series forecasting
Interpretable fracturing optimization of shale oil reservoir production based on causal inference
A multiple classifiers time-serial ensemble pruning algorithm based on the mechanism of forward supplement
Robust Geometric Reconstruction of RGB-D Data Based on Gaussian Splatting
Hierarchical multi-scale parametric optimization of deep neural networks
A survey on local transport mode detection on the edge of the network
A CNN-based methodology for cow heat analysis from endoscopic images
Local commute-time guided MDS for 3D non-rigid object retrieval
Scene text recognition based on two-stage attention and multi-branch feature fusion module
Nonlinear neurons with human-like apical dendrite activations
Improving the one-against-all binary approach for multiclass classification using balancing techniques
Video object segmentation based on temporal frame context information fusion and feature enhancement
Fine-grained gaze estimation based on the combination of regression and classification losses
Self-supervised group meiosis contrastive learning for EEG-based emotion recognition
A hierarchical learning based artificial bee colony algorithm for numerical global optimization and its applications
Vehicle trajectory prediction on highways using bird eye view representations and deep learning
Imitation learning-driven approximation of stochastic control models
PHD: an efficient data clustering scheme using partition space technique for knowledge discovery in large databases
Improving the transferability of adversarial samples with channel switching
VGPCNet: viewport group point clouds network for 3D shape recognition
Fuzzy granularity entropy-based incremental attribute reduction for dynamic incomplete real-valued decision systems
JointCTR: a joint CTR prediction framework combining feature interaction and sequential behavior learning
A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation
Dynamic-scale grid structure with weighted-scoring strategy for fast feature matching
Improved image representation and sparse representation for image classification
Item-region-based style classification network (IRSN): a fashion style classifier based on domain knowledge of fashion experts
Solving security constrained optimal power flow problems: a hybrid evolutionary approach
Selection of key features for PM2.5 prediction using a wavelet model and RBF-LSTM
Zero-day Ransomware Attack Detection using Deep Contractive Autoencoder and Voting based Ensemble Classifier
Image super-resolution reconstruction based on instance spatial feature modulation and feedback mechanism
A multi-layer image operator learning based on sample structure for staff lines removal
An intrusion detection approach based on improved deep belief network
Multimodal graph inference network for scene graph generation
Observation of sales trends by mining emerging patterns in dynamic markets
A discrete modified fireworks algorithm for community detection in complex networks
NetNMSP: Nonoverlapping maximal sequential pattern mining
River runoff causal discovery with deep reinforcement learning
Coupled locality discriminant analysis with globality preserving for dimensionality reduction
SpringBoard: game-agnostic tool for scenario editing with meta-programming support
Newborns prediction based on a belief Markov chain model
An analysis of accuracy-diversity trade-off for hybrid combined system with multiobjective predictor selection
Dynamic FDB selection method and its application: modeling and optimizing of directional overcurrent relays coordination
FSRM-DDIE : few-shot learning methods based on relation metrics for the prediction of drug-drug interaction events
The design of soft recoding-based strategies for improving error-correcting output codes
A weighted SVM ensemble predictor based on AdaBoost for blast furnace Ironmaking process
Green supplier selection based on probabilistic dual hesitant fuzzy sets: A process integrating best worst method and superiority and inferiority ranking
Learning-enhanced simulated annealing: method, evaluation, and application to lung nodule registration
AMCNN: attention-based multi-column neural network for multivariate multi-step time series prediction
A segmentation method based on boundary fracture correction for froth scale measurement
Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics
Prediction of fault evolution and remaining useful life for rolling bearings with spalling fatigue using digital twin technology
Gradient-based adaptive particle swarm optimizer with improved extremal optimization
Semi-supervised learning method based on predefined evenly-distributed class centroids
PointCoCa: Point contrastive captioner pre-trained with prompt-driven datasets generation enhances point cloud shape understanding
Flexible control in expert systems for construction tasks
A multi-relational neighbors constructed graph neural network for heterophily graph learning
DropMismatch: removing mismatched UI elements for better pixel to code generation
Learning hash index based on a shallow autoencoder
Multi-granularity decision information integration network for hierarchical classification via local and global constraints
A clustering algorithm with affine space-based boundary detection
An imperialist competition algorithm using a global search strategy for physical examination scheduling
Semantic web technology for agent interoperability: a proposed infrastructure
Stochastic online decisioning hyper-heuristic for high dimensional optimization
Dynamic connection pruning for densely connected convolutional neural networks
A multi-task attention tree neural net for stance classification and rumor veracity detection
Temporal graphs anomaly emergence detection: benchmarking for social media interactions
EKEMAS, an agent-based geo-simulation framework to support continual planning in the real-word
MTS-Net: research on multi-modal, multi-task, multi-stage tumor segmentation model for PET/CT
Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems
Querying Temporal Constraint Networks: A Unifying Approach
A new block matching algorithm based on stochastic fractal search
Local differential privacy protection for trajectory data based on three-way decisions
Z-number linguistic term set for multi-criteria group decision-making and its application in predicting the acceptance of academic papers
A robust newton iterative algorithm for acoustic location based on solving linear matrix equations in the presence of various noises
Improving the reliability of heuristic multiple fault diagnosis via the EC-based Genetic Algorithm
Enhancing vitiligo stage diagnosis through a reliable multimodal model with uncertainty calibration
Cyber intrusion detection through association rule mining on multi-source logs
Discriminative identification of redundant features for multi-label feature selection
Differential evolution algorithm directed by individual difference information between generations and current individual information
A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak
An improved ID3 algorithm based on variable precision neighborhood rough sets
EGSANet: edge-guided sparse attention network for improving license plate detection in the wild
MST-HGCN: a minimum spanning tree hyperbolic graph convolutional network
Dynamic maintenance model for high average-utility pattern mining with deletion operation
Domain adaptation for improving automatic airborne pollen classification with expert-verified measurements
A novel clustering ensemble model based on granular computing
Feature semantic space-based sim2real decision model
A fast prototype reduction method based on template reduction and visualization-induced self-organizing map for nearest neighbor algorithm
Deep learning-based visual slam for indoor dynamic scenes
Agent systems verification : systematic literature review and mapping
Attention augmented multi-scale network for single image super-resolution
Induction in database systems: A bibliography
An effective method using clustering-based adaptive decomposition and editing-based diversified oversamping for multi-class imbalanced datasets
A knowledge-based architecture for the management of patient-focused care pathways
Reinforcement learning algorithm for non-stationary environments
GSLDA: LDA-based group spamming detection in product reviews
Twin support vector machine based on improved artificial fish swarm algorithm with application to flame recognition
Securing IP in edge AI: neural network watermarking for multimodal models
Algorithm Recognition for Programming Tutoring Based on Flow Graph Parsing
Graph-based multi-label feature selection with dynamic graph constraints and latent representation learning
The Hypercube Separation Algorithm: A Fast and Efficient Algorithm for On-Line Handwritten Character Recognition
A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentation
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game
Towards Effective Parsing with Neural Networks: Inherent Generalisations and Bounded Resource Effects
Multi-modal parameter-efficient fine-tuning via graph neural network
A bio-inspired hierarchical clustering algorithm with backtracking strategy
Few-shot domain adaptation through compensation-guided progressive alignment and bias reduction
Dense depth estimation from multiple 360-degree images using virtual depth
Image-text interaction graph neural network for image-text sentiment analysis
Discriminative-region attention and orthogonal-view generation model for vehicle re-identification
Sentiment analysis of Chinese stock reviews based on BERT model
Unsupervised anomaly detection and imputation in noisy time series data for enhancing load forecasting
Automatic evolution of bi-clusters from microarray data using self-organized multi-objective evolutionary algorithm
A simple teacher behavior recognition method for massive teaching videos based on teacher set
Evaluation of interpretability methods for multivariate time series forecasting
Autonomous underwater vehicle visual enhancement using area-to-point kriging and multi-color spaces embedding
TADSRNet: A triple-attention dual-scale residual network for super-resolution image quality assessment
A Behavioral Choice Model When Computational Ability Matters
A multi-domain feature alignment and hierarchical cross feature enhancement network for under-sampled magnetic image reconstruction
Modelling flight trajectories with multi-modal generative adversarial imitation learning
Anomalous variable-length subsequence detection in time series: mathematical formulation and a novel evolutionary algorithm based on clustering and swarm intelligence
Temperate fish detection and classification: a deep learning based approach
On repeated stackelberg security game with the cooperative human behavior model for wildlife protection
Multi-swarm bat algorithm for association rule mining using multiple cooperative strategies
An efficient treatment method of scrap intelligent rating based on machine vision
Evaluating students' answerscripts using vague values
Style transformed synthetic images for real world gaze estimation by using residual neural network with embedded personal identities
Deep learning based adaptive Ryu controller model for quality of experience issues in multimedia streaming for software defined vehicular networks
Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature review
Application of Bayesian Network Learning Methods to Waste Water Treatment Plants
TransGait: Multimodal-based gait recognition with set transformer
Short-term traffic flow prediction based on spatial-temporal attention time gated convolutional network with particle swarm optimization
Special Issue on Emerging Artificial Intelligence Applications and Innovations: Papers from AIAI 2006
Enhancing 3D hand pose estimation using SHaF: synthetic hand dataset including a forearm
A Two-phase evolutionary algorithm framework for multi-objective optimization
Correction to: An incomplete probabilistic linguistic multi-attribute group decision making method based on a three-dimensional trust network
TBNF:A Transformer-based Noise Filtering Method for Chinese Long-form Text Matching
AFQN: approximate Q n estimation in data streams
High-utility and diverse itemset mining
An improved large-scale sparse multi-objective evolutionary algorithm using unsupervised neural network
TSPIN: mining top-k stable periodic patterns