yusuke1997/dblp-id-title huggingface dataset:
Textual similarity calculation techniques in the medical field: a retrospective review
FedIBD: a federated learning framework in asynchronous mode for imbalanced data
A Coevolutionary Algorithm for Balancing and Sequencing in Mixed Model Assembly Lines
Multi-instance cancellable biometrics schemes based on generative adversarial network
Mitigating sparsity using Bhattacharyya Coefficient and items' categorical attributes: improving the performance of collaborative filtering based recommendation systems
Manifold proximal support vector machine for semi-supervised classification
Reasoning About Distance Based on Fuzzy Sets
On enhancing serial fusion based multi-biometric verification system
A closed-loop supply chain configuration considering environmental impacts: a self-adaptive NSGA-II algorithm
NPGCL: neighbor enhancement and embedding perturbation with graph contrastive learning for recommendation
Correction to: Batch mode active learning via adaptive criteria weights
Fast multi-resolution occlusion: a method for explaining and understanding deep neural networks
MSDCNet: Multi-stage and deep residual complementary multi-focus image fusion network based on multi-scale feature learning
Link prediction on signed social networks based on latent space mapping
JDF-DE: a differential evolution with Jrand number decreasing mechanism and feedback guide technique for global numerical optimization
Structured 3D gaussian splatting for novel view synthesis based on single RGB-LiDAR View
Estimating bus boarding stops under missing key fields in smart card transaction data
Knee-cartilage segmentation from MR images using Multi-view Hypergraph Convolutional Neural Networks
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
An intrusion detection and alert correlation approach based on revising probabilistic classifiers using expert knowledge
Feature redundancy term variation for mutual information-based feature selection
DMFusion: LiDAR-camera fusion framework with depth merging and temporal aggregation
Interpretable semantic textual similarity of sentences using alignment of chunks with classification and regression
Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification
Brain-computer interface for human-multirobot strategic consensus with a differential world model
A fast algorithm for mining high average-utility itemsets
MDIF: A multimodal dynamic inference framework for traffic video question answering
Location-based deep factorization machine model for service recommendation
Parameters security strategy formulated by hyperchaos in federal learning
Approximating the Semantics of Logic Programs by Recurrent Neural Networks
Incrementally updating the high average-utility patterns with pre-large concept
A Neural Network Parallel Algorithm for Meeting Schedule Problems
Belief-peaks clustering based on fuzzy label propagation
SiamPCF: siamese point regression with coarse-fine classification network for visual tracking
Similarity Analysis of Video Sequences Using an Artificial Neural Network
RELight: a random ensemble reinforcement learning based method for traffic light control
A chaotic teaching learning based optimization algorithm for clustering problems
An answer set programming encoding of Prioritized Removed Sets Revision: application to GIS
GeSe: Generalized static embedding
A distributed task reassignment method in dynamic environment for multi-UAV system
Multi-scale residual based siamese neural network for writer-independent online signature verification
A consensus group decision making method for hotel selection with online reviews by sentiment analysis
Label prompt for multi-label text classification
Hierarchical feature selection based on relative dependency for gear fault diagnosis
Numerical computation of ocean HABs image enhancement based on empirical mode decomposition and wavelet fusion
A many-objective evolutionary algorithm with adaptive convergence calculation
Trajectory outlier detection approach based on common slices sub-sequence
X modality assisting RGBT object tracking
Creating a robot localization monitor using particle filter and machine learning approaches
Interpretable systems based on evidential prospect theory for decision-making
Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data
FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks
Fitting and sharing multi-task learning
TBDRI: block decomposition based on relational interaction for temporal knowledge graph completion
Using a modified counter-propagation algorithm to classify conjoined data
Semantic feature-guided and correlation-aggregated salient object detection
ERCP: speedup path planning through clustering and presearching
GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains
FMFO: Floating flame moth-flame optimization algorithm for training multi-layer perceptron classifier
UnseenSignalTFG: a signal-level expansion method for unseen acoustic data based on transfer learning
A genetic algorithm-based dendritic cell algorithm for input signal generation
A classification method using a hybrid genetic algorithm combined with an adaptive procedure for the pool of ellipsoids
Efficient Part-of-Speech Tagging with a Min-Max Modular Neural-Network Model
STGs: construct spatial and temporal graphs for citywide crowd flow prediction
An efficient algorithm for optimal routing applied to convoy merging manoeuvres in urban environments
The analysis of data metamodels' extensional layer via extended generalized graph
Relative order constraint for monocular depth estimation
Laplacian regularized deep low-rank subspace clustering network
Epsilon-nonparallel support vector regression
Correction to: Dynamic interactive weighted feature selection using fuzzy interaction information
Efficient seizure detection by lightweight Informer combined with fusion of time-frequency-spatial features
Channel-augmented joint transformation for transferable adversarial attacks
Nonrigid 3D shape retrieval using deep auto-encoders
A large-scale group decision-making approach for quality function deployment based on Dempster-Shafer evidence theory and hierarchical clustering algorithm
Improving temporal knowledge graph embedding using tensor factorization
An integrated interpretation and clustering model based on attribute grouping
A genetic algorithm(GA)-based method for the combinatorial optimization in contour formation
Independent Component Analysis for Solid-State Chemical Sensor Arrays
Topological Fusion Model for Molecular Property Prediction
Autonomous and connected intersection crossing traffic management using discrete-time occupancies trajectory
Efficient perception, planning, and control algorithm for vision-based automated vehicles
Microblog summarization using self-adaptive multi-objective binary differential evolution
Generalized logical operations among conditional events
Robust and adaptive subspace learning for fast hyperspectral image denoising
Geometric relation-based feature aggregation for 3D small object detection
Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network
Neural network adaptive terminal sliding mode trajectory tracking control for mechanical leg systems with uncertainty
A framework for benchmarking uncertainty in deep regression
PIEED: Position information enhanced encoder-decoder framework for scene text recognition
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
Strict approximate pattern matching with general gaps
Transformer-based two-source motion model for multi-object tracking
A dissimilarity measure for mixed nominal and ordinal attribute data in k-Modes algorithm
Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization
Integrated microblog sentiment analysis from users' social interaction patterns and textual opinions
Multi-domain perspective trajectory prediction for autonomous driving
A connected network-regularized logistic regression model for feature selection
Determining topological relations of uncertain spatiotemporal data based on counter-clock-wisely directed triangle
Random vector functional link network with subspace-based local connections
Content-aware point-of-interest recommendation based on convolutional neural network
A robust self-training algorithm based on relative node graph
FLORAS: urban flash-flood prediction using a multivariate model
Case studies in high-dimensional classification
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions
Genetic operators for combinatorial optimization in TSP and microarray gene ordering
Dynamic radiomics: A new methodology to extract quantitative time-related features from tomographic images
HRMG-EA: Heterogeneous graph neural network recommendation with multi-level guidance based on enhanced-attributes
A hybrid evolutionary approach to the registration area planning problem
Automatic rib segmentation and sequential labeling via multi-axial slicing and 3D reconstruction
Feature attenuation reinforced recurrent neural network for diffusion prediction
3D Salt-net: a method for salt body segmentation in seismic images based on sparse label
Outlier detection for incomplete real-valued data via information entropy and class-consistent technology
Three dimensional path planning using Grey wolf optimizer for UAVs
Multi-circle detection on images inspired by collective animal behavior
Co-attention fusion based deep neural network for Chinese medical answer selection
Improving the performance of the lip identification through the use of shape correction
Realization of superhuman intelligence in microstrip filter design based on clustering-reinforcement learning
An Endosymbiotic Evolutionary Algorithm for Optimization
Spatio-temporal attention on manifold space for 3D human action recognition
Pseudo-parallel chaotic self-learning antelope migration algorithm based on mobility models
Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network
The incremental learning algorithm with support vector machine based on hyperplane-distance
Feature selection based on fuzzy rough fitting model with nominal distribution metric
CCF-LRU: hybrid storage cache replacement strategy based on counting cuckoo filter hot-probe method
Enhance understanding and reasoning ability for image captioning
Neural Learning from Unbalanced Data
A novel spatiotemporal multigraph convolutional network for air pollution prediction
Consensus models with aggregation operators for minimum quadratic cost in group decision making
Graph Neural Network with RNNs based trajectory prediction of dynamic agents for autonomous vehicle
Hybrid credit ranking intelligent system using expert system and artificial neural networks
On evolutionary computing in multi-ship trajectory planning
Parallel recurrent neural network with transformer for anomalous trajectory detection
The utility of hyperplane angle metric in detecting financial concept drift
LinGraph: a graph-based automated planner for concurrent task planning based on linear logic
Adaptive multi-context cooperatively coevolving in differential evolution
Deformation prediction of arch dams by coupling STL decomposition and LSTM neural network
Transfer learning for temporal nodes Bayesian networks
ABiNE-CRS: course recommender system in online education using attributed bipartite network embedding
Correction to: Edge artificial intelligence-based affinity task offloading under resource adjustment in a 5G network
Discrepant mutual learning fusion network for unsupervised domain adaptation on person re-identification
Parallelized extreme learning machine for online data classification
Robust dynamic spatio-temporal graph neural network for traffic forecasting
Improving image classification of one-dimensional convolutional neural networks using Hilbert space-filling curves
SSRFD: single shot real-time face detector
Design of fault diagnosis algorithm for electric fan based on LSSVM and Kd-Tree
ABNGrad: adaptive step size gradient descent for optimizing neural networks
Collision avoiding decentralized sorting of robotic swarm
Attention mechanism fusion neural network for typhoon path prediction
Occluded person re-identification based on differential attention siamese network
A framework of granular-ball generation for classification via granularity tuning
Multi-task learning with helpful word selection for lexicon-enhanced Chinese NER
A multi-objective bat algorithm for community detection on dynamic social networks
Generalized and group-based generalized intuitionistic fuzzy soft sets with applications in decision-making
Hierarchical Integration of Sensor Data and Contextual Information for Automatic Target Recognition
Fast newton method to solve KLR based on multilevel circulant matrix with log-linear complexity
CateReg: category regularization of graph convolutional networks based collaborative filtering
Sandpiper optimization algorithm: a novel approach for solving real-life engineering problems
Automated asset management based on partially cooperative agents for a world of risks
An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa
SSSA: low data sentiment analysis using boosting semi-supervised approach and deep feature learning network
Low-rank tensor completion via combined Tucker and Tensor Train for color image recovery
Physics-informed autoencoder for feature extraction from multidimensional sensor measurement data
A novel method based on deep learning for aligned fingerprints matching
PBDE: an effective post-processing method based on box density for object detection
Unsupervised learning with physics informed graph networks for partial differential equations
Semantic image segmentation with shared decomposition convolution and boundary reinforcement structure
Reliability-aware label distribution learning with attention-rectified for facial expression recognition
An expert target recognition system using a genetic wavelet neural network
Exploring the application of ChatGPT in scientific topic analysis: a novel paradigm for enhanced analysis and efficiency
An efficient approach for measuring semantic relatedness using Wikipedia bidirectional links
An enhanced Support Vector Machine classification framework by using Euclidean distance function for text document categorization
Oriented-tooth recognition using a five-axis object-detection approach
Robust low-rank representation with adaptive graph regularization from clean data
A polynomial kernel neural network classifier based on random sampling and information gain
An improved spatial temporal graph convolutional network for robust skeleton-based action recognition
Advancing suspicious object detection in unconstrained environments using computer vision
Robust kernel ensemble regression in diversified kernel space with shared parameters
Software fault prediction using Nonlinear Autoregressive with eXogenous Inputs (NARX) network
A new perspective for understanding generalization gap of deep neural networks trained with large batch sizes
Bloat-aware GP-based methods with bloat quantification
Preference and attitude in parameterized knowledge measure for decision making under uncertainty
Semi-supervised multi-view binary learning for large-scale image clustering
A second-order cone programming formulation for twin support vector machines
Leveraging meta-data of code for adapting prompt tuning for code summarization
Cross-attention fusion and edge-guided fully supervised contrastive learning network for rail surface defect detection
Anomaly detection in crowd scenes via cross trajectories
Local sharpness failure detection of camera module lens based on image blur assessment
Distributed Reinforcement Learning Control for Batch Sequencing and Sizing in Just-In-Time Manufacturing Systems
A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm
Towards continuous consistency axiom
Core-guided method for constraint-based multi-objective combinatorial optimization
Hybridizing metric learning and case-based reasoning for adaptable clickbait detection
Anchor-free multi-orientation text detection in natural scene images
ConvNet frameworks for multi-modal fake news detection
Group channel pruning and spatial attention distilling for object detection
A ν-twin support vector machine based regression with automatic accuracy control
Fast Micro-Expression recognition method based on Bi-Directional optical flow
Dual-channel context-aware contrastive learning graph neural networks for session-based recommendation
A community detection algorithm based on Quasi-Laplacian centrality peaks clustering
Automation of observational gait assessment through an optical 3D motion system and transformers
A missing value filling model based on feature fusion enhanced autoencoder
Evolutionary based ensemble framework for realizing transfer learning in HIV-1 Protease cleavage sites prediction
ADD: a new average divergence difference-based outlier detection method with skewed distribution of data objects
Human mental search: a new population-based metaheuristic optimization algorithm
Fusion of visual odometry and place recognition for SLAM in extreme conditions
A divide-and-unite deep network for person re-identification
Combining modified inverted generational distance indicator with reference-vector-guided selection for many-objective optimization
A relation based algorithm for solving direct current circuit problems
Link traffic speed forecasting using convolutional attention-based gated recurrent unit
Knowledge discovery assistants for crash simulations with graph algorithms and energy absorption features
Uncertainty awareness with adaptive propagation for multi-view stereo
Hostility measure for multi-level study of data complexity
Random permutation principal component analysis for cancelable biometric recognition
MemGCN: memory-augmented graph neural network for predict conduction disturbance after transcatheter aortic valve replacement
Enhancing frame-level student engagement classification through knowledge transfer techniques
COTS products selection using fuzzy chance-constrained multiobjective programming
New method for emergency decision making with an integrated regret theory-EDAS method in 2-tuple spherical linguistic environment
DGTAD: decomposition GAN-based transformer for anomaly detection in multivariate time series data
Scene text image super-resolution using multi-scale convolutional neural network with skip connections
An evolutionary simulation-optimization approach for the problem of order allocation with flexible splitting rule in semiconductor assembly
Interactive visualization-based surveillance video synopsis
A Formalism for Representing and Reasoning with Temporal Information, Event and Change
Image quality enhancement of 4D light field microscopy via reference impge propagation-based one-shot learning
Multi-scale feature map fusion encoding for underwater object segmentation
A task allocation algorithm based on reinforcement learning in spatio-temporal crowdsourcing
Learning to program using hierarchical model-based debugging
A generalized soft likelihood function in combining multi-source belief distribution functions
Rapid deployment of digital twin for life prediction of rolling bearings
Extracting Phonetic Knowledge from Learning Systems: Perceptrons, Support Vector Machines and Linear Discriminants
Transfer learning based hybrid 2D-3D CNN for traffic sign recognition and semantic road detection applied in advanced driver assistance systems
Dynamic vehicle routing using genetic algorithms
You are what your feeds make you: A study of user aggressive behavior on Twitter
A multi-task learning model with graph convolutional networks for aspect term extraction and polarity classification
Supervised methods for regrouping attributes in fuzzy rule-based classification systems
Elite quantum ant colony algorithm based on double chain encoding for static optimization problems
Deep multi-model fusion network based real object tactile understanding from haptic data
Sim-to-real transfer and reality gap modeling in model predictive control for autonomous driving
Graph-based substructure pattern mining with edge-weight
Similarity modifiers for enhancing the recommender system performance
Finding the input features that reduce the entropy of a neural network's prediction
An enhanced particle swarm optimization algorithm to solve probabilistic load flow problem in a micro-grid
Parallel multi-swarm optimizer for gene selection in DNA microarrays
Memory-based cognitive modeling for robust object extraction and tracking
A high-speed D-CART online fault diagnosis algorithm for rotor systems
The error sample feature compensation method for improving the robustness of underwater classification and recognition models
A deep ensemble learning method for colorectal polyp classification with optimized network parameters
An efficient ACO-based algorithm for scheduling tasks onto dynamically reconfigurable hardware using TSP-likened construction graph
Enterprise risk assessment model based on graph attention networks
Heuristically mining the top-k high-utility itemsets with cross-entropy optimization
Probabilistic Pattern Matching and the Evolution of Stochastic Regular Expressions
Research on fast text recognition method for financial ticket image
Single-source unsupervised domain adaptation for cross-subject MI-EEG classification based on discriminative information
Joint learning networks of low-level and high-level features for multi-label ship recognition in complex backgrounds
Intuitionistic fuzzy multi-view support vector machines with universum data
FAHC: frequency adaptive hypergraph constraint for collaborative filtering
Multi-level difference information replenishment for medical image fusion
Label distribution feature selection based on label-specific features
LADPSO: using fuzzy logic to conduct PSO algorithm
Reinforcement learning infused intelligent framework for semantic web service composition
Deep network compression with teacher latent subspace learning and LASSO
Multi-scale spatiotemporal graph convolution network for air quality prediction
A new semi-supervised hierarchical active clustering based on ranking constraints for analysts groupization
Neural network-based adaptive reinforcement learning for optimized backstepping tracking control of nonlinear systems with input delay
Game theory and MCDM-based unsupervised sentiment analysis of restaurant reviews
Intuitive distance for intuitionistic fuzzy sets with applications in pattern recognition
A reinforced final belief divergence for mass functions and its application in target recognition
Retinal artery/vein classification by multi-channel multi-scale fusion network
Stabilizing and improving federated learning with highly non-iid data and client dropout
View-relation constrained global representation learning for multi-view-based 3D object recognition
A fuzzy-weighted Gaussian kernel-based machine learning approach for body fat prediction
A streaming sampling algorithm for social activity networks using fixed structure learning automata
A granular XGBoost classification algorithm
DynaQ: online learning from imbalanced multi-class streams through dynamic sampling
Privacy-preserving semi-decentralized matrix factorization for personalized recommendations with grouping and random transmission
Detecting smoky vehicles from traffic surveillance videos based on dynamic features
Automatic choroid layer segmentation in OCT images via context efficient adaptive network
A novel online sequential extreme learning machine with L 2, 1 -norm regularization for prediction problems
A lightweight intelligent network intrusion detection system using OCSVM and Pigeon inspired optimizer
Dual-channel graph-level anomaly detection method based on multi-graph representation learning
Mining web access patterns with super-pattern constraint