yusuke1997/dblp-id-title huggingface dataset:
\(H_{\infty }\) filter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity
Margin-based active learning for structured predictions
Double-quantitative multi-granularity kernel fuzzy rough sets model and its application in rheumatoid arthritis risk assessment
Online domain description of big data based on hyperellipsoid models
Novel multi-label feature selection via label enhancement and relative maximal discernibility pairs
MCANet: a lightweight action recognition network with multidimensional convolution and attention
Social activity matching with graph neural network in event-based social networks
Aquila coyote-tuned deep convolutional neural network for the classification of bare skinned images in websites
PSO with aging leader and challengers for optimal design of high speed symmetric switching CMOS inverter
Feature selection schema based on game theory and biology migration algorithm for regression problems
Robustness to adversarial examples can be improved with overfitting
Artificial recurrent neural network coordinated secured transmission towards safeguarding confidentiality in smart Industrial Internet of Things
Adaptive factorization rank selection-based NMF and its application in tumor recognition
Redis-based full-text search extensions for relational databases
Clustering based on Steiner points
Chinese-Naxi machine translation method based on Naxi dependency language model
An Atanassov's intuitionistic fuzzy multi-attribute group decision making method based on entropy and similarity measure
Fractional mega trend diffusion function-based feature extraction for plant disease prediction
Interpretable semi-supervised sensor knowledge integration for advancing digital economy
Community detection and co-author recommendation in co-author networks
BART-based contrastive and retrospective network for aspect-category-opinion-sentiment quadruple extraction
Pathological image super-resolution using mix-attention generative adversarial network
Introduction to meta learning for internet of multimedia things
Domain generalization person re-identification via style adaptation learning
Supervised feature selection by constituting a basis for the original space of features and matrix factorization
Semantic rule-based information extraction for meteorological reports
PSO-ECM: particle swarm optimization-based evidential C-means algorithm
An improved biogeography/complex algorithm based on decomposition for many-objective optimization
A novel fairness-aware ensemble model based on hybrid sampling and modified two-layer stacking for fair classification
Two-channel deep recursive multi-scale network based on multi-attention for no-reference image quality assessment
ConvHiA: convolutional network with hierarchical attention for knowledge graph multi-hop reasoning
Character-level text classification via convolutional neural network and gated recurrent unit
Enhancing Language Models with Commonsense Knowledge for Multi-turn Response Selection
A two-stage temporal proposal network for precise action localization in untrimmed video
Dual flow fusion graph convolutional network for traffic flow prediction
N-dimensional ( α , β )-fuzzy H-ideals in hemirings
A hybrid-based method for Chinese domain lightweight ontology construction
Competence-based knowledge space theory from the perspective of formal concept analysis
SPERM: sequential pairwise embedding recommendation with MI-FGSM
A hospitalization mechanism based immune plasma algorithm for path planning of unmanned aerial vehicles
EV charging forecasting exploiting traffic, weather and user information
Deep Boltzmann machine for nonlinear system modelling
Finite-time exponential anti-synchronization of Markovian delayed BAM neural networks with Dirichlet boundary conditions in the space-time discretized frame
Deep reinforcement learning-based centralized control for trajectory tracking of distributed drive electric vehicles
Hybrid-ctunet: a double complementation approach for 3D medical image segmentation
Adaptive algorithms for low-rank and sparse matrix recovery with truncated nuclear norm
GDPC: generalized density peaks clustering algorithm based on order similarity
Single image super-resolution via global aware external attention and multi-scale residual channel attention network
Video anomaly detection based on multi-scale optical flow spatio-temporal enhancement and normality mining
Correction to: Recent advances in multiple criteria decision making techniques
ESTI: an action recognition network with enhanced spatio-temporal information
Evaluation of path stretch in scalable routing system
Data clustering using multivariant optimization algorithm
State estimation for uncertain discrete-time stochastic neural networks with Markovian jump parameters and time-varying delays
Deformation prediction of rock cut slope based on long short-term memory neural network
Uncertain random portfolio optimization via semi-variance
Multi-modal 6-DoF object pose tracking: integrating spatial cues with monocular RGB imagery
Multi-task federated learning with encoder-decoder structure: enabling collaborative learning across different tasks
Feature selection for heterogeneous data based on weighted KNN-neighborhood rough set model and self information
Decision rules acquisition based on interval knowledge granules for incomplete ordered decision information systems
Generating transferable adversarial examples based on perceptually-aligned perturbation
RLGA-FER: reinforcement learning based on genetic algorithm for facial expression recognition enhancing
Improved student dropout prediction in Thai University using ensemble of mixed-type data clusterings
A multi objective approach for placement of multiple DGs in the radial distribution system
Three-way unsupervised anomaly detection of sequential patterns
Fine-art painting classification via two-channel dual path networks
L-fuzzy two-way concept-cognitive learning based on residuated implication from a divergent viewpoint
Guaranteed performance control for delayed Markov jump neural networks with output quantization and data-injection attacks
Applications of repeat degree to coverings of neighborhoods
Exponential input-to-state stability of stochastic neural networks with mixed delays
BUS-net: a bimodal ultrasound network for breast cancer diagnosis
An intelligent hybrid encryption framework for cloud systems in cybernetics using ISSO and Paillier cryptosystem
Weighted Node Network Voronoi Diagram and its application to optimization of chain stores layout
Hybrid generative adversarial network based on a mixed attention fusion module for multi-modal MR image synthesis algorithm
Imbalanced data classification based on diverse sample generation and classifier fusion
A weighted SOM for classifying data with instance-varying importance
Graph embedded subspace clustering with entropy-based feature weighting
Activity awareness for development support based on seamless repository
Local attribute reductions of formal contexts
FETransNet: an enhanced lung disease classification approach combining EfficientNet and transformer with adaptive focal loss
Multi-dynamic residual graph convolutional network with global feature enhancement for traffic flow prediction
An effective fruit fly optimization algorithm with hybrid information exchange and its applications
Group decision making for internet public opinion emergency based upon linguistic intuitionistic fuzzy information
k-Proximal plane clustering
MPKD-DCFI: multi-path knowledge distillation via dynamic contextual feature interaction
Feature fusion network for clothing parsing
Uncertainty measurement for incomplete set-valued data with application to attribute reduction
Semi-supervised dehazing method based on image enhancement and multi-negative contrastive auxiliary learning
Grey stochastic multi-criteria decision-making based on regret theory and TOPSIS
Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning
Establishing ANFIS and the use for predicting sliding control of active railway suspension systems subjected to uncertainties and disturbances
Domain invariant feature extraction against evasion attack
Enhancing semi-supervised medical image segmentation with bidirectional copy-paste and masked image reconstruction
Multi-view document clustering based on geometrical similarity measurement
An ordered clustering algorithm based on K-means and the PROMETHEE method
A new method of trust mirroring estimation based on social networks parameters by fuzzy system
Quick reduct with multi-acceleration strategies in incomplete hybrid decision systems
A new hybrid genetic algorithm for the maximally diverse grouping problem
Deep interactive query design and progressive search for end-to-end detection of tiny object in aerial images
Kernel learning and optimization with Hilbert-Schmidt independence criterion
Multi-strategy fusion pelican optimization algorithm and logic operation ensemble of transfer functions for high-dimensional feature selection problems
Decision making based on AND-logical quantification of uncertainty in pairwise comparisons
Deconfounded classification by an intervention approach
Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain
A new fuzzy twin support vector machine for pattern classification
Tree comprehensive diversity-based pruned deep forest
Complete solution for vehicle Re-ID in surround-view camera system
A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks
Multi-scale frequency domain learning for texture classification
Certain types of intuitionistic fuzzy directed hypergraphs
Interactive image retrieval using M-band wavelet, earth mover's distance and fuzzy relevance feedback
Empowering secure and sustainable healthcare through federated learning and blockchain synergies in a Medical Internet of Things
Some studies on properties of hesitant fuzzy sets
Case2vec: joint variational autoencoder for case text embedding representation
Long-term causal effects estimation across domains: an invariant surrogate representation learning approach
DCSVM: fast multi-class classification using support vector machines
Predicting protein-protein interaction sites using modified support vector machine
An improved reference point based multi-objective optimization by decomposition
Particle swarm optimization with neighborhood-based budget allocation
Multi-label learning based on operator-valued kernels
Multi-task learning for collaborative filtering
Research on dynamic flatness feedback control strategy based on IGWO control efficiency identification for cold tandem rolling mill
Adversarial examples: attacks and defenses in the physical world
An evolutionary feature selection method based on probability-based initialized particle swarm optimization
A novel hybrid time series forecasting model based on neutrosophic-PSO approach
Global attention network for collaborative saliency detection
Exploiting graph neural network with one-shot learning for fault diagnosis of rotating machinery
Towards improving the convolutional neural networks for deep learning using the distributed artificial bee colony method
Spatiotemporal attention enhanced features fusion network for action recognition
Weakly-supervised label distribution feature selection via label-specific features and label correlation
Ensemble of feature selection algorithms: a multi-criteria decision-making approach
Dual graph attention networks for multi-behavior recommendation
Artificial immune based intrusion detection and mitigation system using entropy fluctuation method and deep maxout classifier
Concept drift detection methods based on different weighting strategies
A novel decision making approach based on intuitionistic fuzzy soft sets
Research on the assessment of project-driven immersion teaching in extreme programming with neutrosophic linguistic information
The Interval probabilistic double hierarchy linguistic EDAS method based on natural language processing basic techniques and its application to hotel online reviews
Is the simple assignment enough? Exploring the interpretability for community detection
Fusion k-means clustering and multi-head self-attention mechanism for a multivariate time prediction model with feature selection
Sandwich control systems with impulse time windows
Multi-expert multi-criteria decision making based on the likelihoods of interval type-2 trapezoidal fuzzy preference relations
Global-locality preserving projection for word embedding
Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution
Mass classification of benign and malignant with a new twin support vector machine joint \({l_{2, 1}}\) -norm
Hierarchical extreme learning machine with L21-norm loss and regularization
Dynamic fusion for ensemble of deep Q-network
Model tree pruning
Interaction-based clustering algorithm for feature selection: a multivariate filter approach
SIFT based iris recognition with normalization and enhancement
Empirical study on virtual order of class labels in nominal classification
Correction to: A robust self-weighted SELO regression model
Computational awareness for smart grid: a review
Effective spatio-temporal semantic trajectory generation for similar pattern group identification
International journal of machine learning and cybernetics
Dependency space, closure system and rough set theory
Ensemble with estimation: seeking for optimization in class noisy data
An augmented Lagrangian alternating direction method for overlapping community detection based on symmetric nonnegative matrix factorization
Adaptive guided differential evolution algorithm with novel mutation for numerical optimization
SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches
An improved density-based adaptive p-spectral clustering algorithm
Outlier based intrusion detection in databases for user behaviour analysis using weighted sequential pattern mining
DMMP-Net: diffusion model-based missing part patching network for station air quality data generation completion
A data-driven study for evaluating the compressive strength of high-strength concrete
Fusing micro-preserved representations and item-homogeneous relationships for graph convolution collaborative filtering
Dependence space of topology and its application to attribute reduction
DeepSite: bidirectional LSTM and CNN models for predicting DNA-protein binding
A rough set method for the unicost set covering problem
A review on machine learning techniques for the assessment of image grading in breast mammogram
Global exponential stability of anti-periodic solutions for neutral type CNNs with D operator
Revisiting data reduction for boolean matrix factorization algorithms based on formal concept analysis
Parallel knowledge acquisition algorithms for big data using MapReduce
A heuristic procedure for the outbound container space assignment problem for small and midsize maritime terminals
A learning automata framework based on relevance feedback for content-based image retrieval
Bgman: Boundary-Prior-Guided Multi-scale Aggregation Network for skin lesion segmentation
Probabilistic reliable linguistic term sets applied to investment project selection with the gained and lost dominance score method
DBCGN: dual branch cascade graph network for skin lesion segmentation
Extreme vector machine for fast training on large data
Nonnegative matrix factorization with manifold regularization and maximum discriminant information
Relational semantic-enhanced logic rule learning for knowledge graph completion
Convergence analysis on the deterministic mini-batch learning algorithm for noise resilient radial basis function networks
Research on a multi-classification diagnosis method for anemia text medical records in Traditional Chinese Medicine based on improved pre-trained LERT model
A novel ORESTE approach for MAGDM incorporating probabilistic interval-valued linguistic information: case studies in higher education quality and the energy industry
Link prediction for multi-layer and heterogeneous cyber-physical networks
Sparse group LASSO based uncertain feature selection
Arrow detection in biomedical images using sequential classifier
Robust zero-shot discrete hashing with noisy labels for cross-modal retrieval
Dual-discriminator conditional Giza pyramids construction generative adversarial network based traffic density recognition using road vehicle images
Support to self-diagnosis with awareness
Semi-supervised low rank kernel learning algorithm via extreme learning machine
Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers
Group & reweight: a novel cost-sensitive approach to mitigating class imbalance in network traffic classification
A novel conformal deformation based sparse subspace clustering
Hybrid heuristics for the single machine scheduling problem with quadratic earliness and tardiness costs
Human activity recognition using mixture of heterogeneous features and sequential minimal optimization
Possibilistic biclustering algorithm for discovering value-coherent overlapping δ -biclusters
New concepts of vague graphs
Recent advances in deep learning
Discovering the discovery of the No-Search Approach
Robust stabilization for uncertain T-S fuzzy singular system
New results on convergence of fuzzy cellular neural networks with multi-proportional delays
A dual approach for machine-awareness in indoor environment combining pseudo-3D imaging and soft-computing techniques
Recurrent graph encoder for syntax-aware neural machine translation
Feature engineering based intelligent intrusion detection system for IoT network security
Concept granular computing systems and their approximation operators
A rule-extraction framework under multigranulation rough sets
Influence of dynamical changes on concept lattice and implication rules
Centrosymmetric constrained Convolutional Neural Networks
Pivot selection for metric-space indexing
Multi-task learning for subthalamic nucleus identification in deep brain stimulation
Discernible neighborhood counting based incremental feature selection for heterogeneous data
Dynamic uncertain causality graph based on cloud model theory for knowledge representation and reasoning
Domain-adaptive entity recognition: unveiling the potential of CSER in cybersecurity and beyond
Creating rule-based agents for artificial general intelligence using association rules mining
AI-driven mock interview assessment: leveraging generative language models for automated evaluation
Transfer channel pruning for compressing deep domain adaptation models
Automatic lag selection in time series forecasting using multiple kernel learning
A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors
GRPIC: an end-to-end image captioning model using three visual features
An optimization algorithm guided by a machine learning approach
ASR-Fed: agnostic straggler-resilient semi-asynchronous federated learning technique for secured drone network
Mixed attention hourglass network for robust face alignment
A multi-perspective global-local interaction framework for identifying dialogue acts and sentiments of dialogue utterances jointly
Dual-branch feature fusion dehazing network via multispectral channel attention
Pyramid-KNet: Pyramid Kroneckernet-based lung cancer detection using computed tomography images
A three-way decisions approach based on double hierarchy linguistic aggregation operators of strict t-norms and t-conorms
M k - NN G-DPC: density peaks clustering based on improved mutual K-nearest-neighbor graph
Some distances, similarity and entropy measures for interval-valued neutrosophic sets and their relationship
Decentralized feedback control for wireless sensor and actuator networks with multiple controllers
A kind of approximations of generalized rough set model
Prioritized induced probabilistic operator and its application in group decision making
A game theory-based network rumor spreading model: based on game experiments
Feature selection using neighborhood uncertainty measures and Fisher score for gene expression data classification
Nonsmooth exponential synchronization of coupled neural networks with delays: new switching design
The mean square stability analysis of a stochastic dynamic model for electricity market
Quantum wavefunction optimization algorithm: application in solving traveling salesman problem
Path planning problem solved by an improved black-winged kite optimization algorithm based on multi-strategy fusion
Hybrid architecture for mitigating DDoS and other intrusions in SDN-IoT using MHDBN-W deep learning model
Density peaks clustering based on k-nearest neighbors and self-recommendation
Robust stability analysis of uncertain genetic regulatory networks with mixed time delays
Character-Level Syntax Infusion in Pre-Trained Models for Chinese Semantic Role Labeling
An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments
Managerial flexibility strategies under supply and demand risks: quantity postponement vs. price postponement
Unsupervised and supervised methods for the detection of hurriedly created profiles in recommender systems
An adaptive nonlinear whale optimization multi-layer perceptron cyber intrusion detection framework
Optimization of structure elements for morphological hit-or-miss transform for building extraction from VHR airborne imagery in natural hazard areas
Meticulous fuzzy convolution C means for optimized big data analytics: adaptation towards deep learning
Roughness measure based on description ability for attribute reduction in information system
Considering cross-cultural context in the automatic recognition of emotions
Synchronization of a class of memristive neural networks with time delays via sampled-data control
Improved TODIM method for intuitionistic fuzzy MAGDM based on cumulative prospect theory and its application on stock investment selection
Multi-scale network toward real-world image denoising
Unified deep learning model for multitask representation and transfer learning: image classification, object detection, and image captioning
General fine-grained event detection based on fusion of multi-information representation and attention mechanism
A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment
A new FCA-based method for identifying biclusters in gene expression data
Robust discriminant analysis with adaptive locality preserving
A boundary restricted adaptive particle swarm optimization for data clustering
Sonar image segmentation using a multi-spatial information constraint fuzzy C-means clustering algorithm based on KL divergence
SILTD: Structural Information for LLM-Generated Text Detection
Evolutionary dynamic multi-objective optimization algorithm based on Borda count method
A dual branch network combining detail information and color feature for remote sensing image dehazing
Ant colony optimization for mining gradual patterns
Data augmentation using Heuristic Masked Language Modeling
Hierarchical learning recurrent neural networks for 3D motion synthesis
A novel handover detection model via frequent trajectory patterns mining
Three-way decisions: beyond rough sets and granular computing
Bilateral sensitivity analysis: a better understanding of a neural network
MORE: Toward Improving Author Name Disambiguation in Academic Knowledge Graphs
Generalized Dice measures of single valued neutrosophic type-2 hesitant fuzzy sets and their application to multi-criteria decision making problems
Integrating global semantics and enhanced local subgraph for inductive link prediction
Synchronization of delayed Markovian jump memristive neural networks with reaction-diffusion terms via sampled data control
Dynamic network link prediction based on random walking and time aggregation
Binary African vultures optimization algorithm for various optimization problems