yusuke1997/dblp-id-title huggingface dataset:
Correction: Enhanced coati optimization algorithm using elite opposition-based learning and adaptive search mechanism for feature selection
A novel algorithm for the vertex cover problem based on minimal elements of discernibility matrix
Improving boosting methods with a stable loss function handling outliers
A novel hybrid approach to detect clients in federated learning for industrial internet of things
Profiling users with tag-enhanced spherical metric learning for recommendation
Rcoco: contrastive collective link prediction across multiplex network in Riemannian space
Adaptive label modification based on uncertainty learning for facial expression recognition in the wild
Quasi-framelets: robust graph neural networks via adaptive framelet convolution
IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
ADET: anomaly detection in time series with linear time
Alpha matting with image pixel correlation
Efficient dual domain image denoising via SURE-based optimization
User feedback based metasearching using neural network
Observer-based control for switched networked control systems with missing data
Adaptive neural nonsingular terminal sliding mode control for MEMS gyroscope based on dynamic surface controller
PD-GLCST: integrating graph learning and sparse attention for accurate Parkinson's disease diagnosis
Sparse and heuristic support vector machine for binary classifier and regressor fusion
Clustered Automated Machine Learning (CAML) model for clinical coding multi-label classification
Periodic frequent subgraph mining in dynamic graphs
Image dehazing using multi-scale recursive networks
Effectiveness of approximation strategy in surrogate-assisted fireworks algorithm
A novel online ensemble approach to handle concept drifting data streams: diversified dynamic weighted majority
Model-agnostic multi-stage loss optimization meta learning
A transplantation of subject-independent model in cross-platform BCI
Stochastic gradient support vector machine with local structural information for pattern recognition
Learning relations in human-like style for few-shot fine-grained image classification
Learning rates of least-square regularized regression with strongly mixing observation
Correction to: Binary domain adaptation with independence maximization
IST-PTEPN: an improved pedestrian trajectory and endpoint prediction network based on spatio-temporal information
Dap-SiMT: divergence-based adaptive policy for simultaneous machine translation
Enhanced toolface angle control of stabilized platform using I_DDPG in rotary steerable system
Privacy-preserving intrusion detection with federated learning: enhancing privacy and efficiency in IoT networks
Dissimilarity measure on intuitionistic fuzzy sets from an optimistic viewpoint of the information and its diverse applications
Three-way n -valued neutrosophic concept lattice at different granulation
'What' and 'Where' both matter: dual cross-modal graph convolutional networks for multimodal named entity recognition
Extraction of entity relationships serving the field of agriculture food safety regulation
A projection-based approach to software quality evaluation from the users' perspectives
Fuzzy neural control of uncertain chaotic systems with backlash nonlinearity
Exponential state estimation for Markovian jumping neural networks with mixed time-varying delays and discontinuous activation functions
A rough set based algorithm for updating the modes in categorical clustering
Diffusion policy with Q-ensemble for offline reinforcement learning
Regularized based implicit Lagrangian twin extreme learning machine in primal for pattern classification
A novel data-free continual learning method with contrastive reversion
A nonlinear least squares quasi-Newton strategy for LP-SVR hyper-parameters selection
Weighted committee-based surrogate-assisted differential evolution framework for efficient medium-scale expensive optimization
Towards exploiting linear regression for multi-class/multi-label classification: an empirical analysis
Problem of knowledge discovery in noisy databases
Fuzzy random bilevel linear programming through expectation optimization using possibility and necessity
Long-term time series forecasting based on Siamese network: a perspective on few-shot learning
Tracking human poses in various scales with accurate appearance
Resident activity recognition based on binary infrared sensors and soft computing
Dominance-based fuzzy rough sets in multi-scale decision tables
Self-representation with adaptive loss minimization via doubly stochastic graph regularization for robust unsupervised feature selection
Adaptive hierarchical hyper-gradient descent
Object-based feature extraction for hyperspectral data using firefly algorithm
Image encoded time series classification of small datasets: an innovative architecture using deep learning ensembles
A fuzzy approach to multicriteria assignment problem using exponential membership functions
Modular transfer learning with transition mismatch compensation for excessive disturbance rejection
A study on unstable cuts and its application to sample selection
Fuzzy Levenberg Marquart optimization algorithm with inexact line search technique to solve imprecisely defined nonlinear unconstrained optimization problems
Pseudo almost periodic solutions for neutral type high-order Hopfield neural networks with mixed time-varying delays and leakage delays on time scales
DE/isolated/1: a new mutation operator for multimodal optimization with differential evolution
Classifying imbalanced data using SMOTE based class-specific kernelized ELM
An efficient three-way clustering algorithm based on gravitational search
The construction of multi-granularity generalized one-sided concept lattices
Causal intervention for knowledge graph denoising in recommender systems
Fault detection of train mechanical parts using multi-mode aggregation feature enhanced convolution neural network
Rotation invariant descriptors for galaxy morphological classification
Improved fuzzy transform based image compression and fuzzy median filter based its artifact reduction: pairFuzzy
A cascaded embedding method with graph neural network for multi-behavior recommendation
Label denoising based on Bayesian aggregation
Enhanced multi-view anomaly detection on attribute networks by truncated singular value decomposition
Correction to: Path-based estimation for link prediction
Stock closing price prediction based on ICEEMDAN-FA-BiLSTM-GM combined model
Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning
A decade's overview of artificial intelligence in diagnosing: a scoping review
Infinite norm large margin classifier
Behavior trajectory prediction for motor vehicle based on human-vehicle-road coupling model
Supervised information granulation strategy for attribute reduction
Optimal revenue-sharing contract based on forecasting effort for uncertain agency problem
A fuzzy taxonomy for e-Health projects
Deep semantic-aware network for zero-shot visual urban perception
Recognition of college students from Weibo with deep neural networks
Text classification methods in the steel e-commerce industry using the large language model and prompt engineering
Multiple birth least squares support vector machine for multi-class classification
Hindsight-aware deep reinforcement learning algorithm for multi-agent systems
Cross-domain transferable discriminant dictionary based sparse representation approach for EEG emotion-level recognition
On derivations of linguistic truth-valued lattice implication algebras
Group decision-making analysis based on linguistic q-rung orthopair fuzzy generalized point weighted aggregation operators
A semantic features-enhanced dispensation network for retrieving remote sensing images
Intrusion detection using a hybrid approach based on CatBoost and an enhanced inception V1
New criteria for stability of fuzzy neutral-type memristive neural networks with mixed delays
Concept learning consistency under three-way decision paradigm
Enhancing ınternet security: a novel ML approach for intrusion detection using RS2FS and cascaded SVM/ANFIS
A new framework of multi-objective evolutionary algorithms for feature selection and multi-label classification of video data
Attention-nested dual-branch network in real-time semantic segmentation
Prediction of the number of students taking make-up examinations using artificial neural networks
Link prediction based on depth structure in social networks
Face hallucination using example-based regularization
Integrate new cross association fuzzy logical relationships to multi-factor high-order forecasting model of time series
A smoothing interval neural networks-based Caputo fractional-order gradient learning algorithm
Observer-based finite-time asynchronous sliding mode control with quantized outputs for hidden Markov jump systems
MADIAT: enhancing conversational aspect-based sentiment quadruple analysis with multi-view adaptive dynamic interaction and adversarial training
Intuitionistic fuzzy filter theory of BL -algebras
Visual tracking of the millennium development goals with a fuzzified self-organizing neural network
Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications
Fast attribute reduction by neighbor inconsistent pair selection for dynamic decision tables
ECODI: a novel evolutionary coreset distillation with LLM-assisted fitness evaluation for encrypted network traffics
Learning deep representation for action unit detection with auxiliary facial attributes
Incremental nonnegative matrix factorization based on correlation and graph regularization for matrix completion
Joint weighted knowledge distillation and multi-scale feature distillation for long-tailed recognition
Early cardiovascular risk detection using gated attention GoogleNet + + and CT imaging
Sustainable competitiveness evaluation of container liners based on granular computing and social network group decision making
From foundational issues in artificial intelligence to intelligent memristive nano-devices
TMscNet: a model with multiple information interaction for COVID-19 X-ray classification
GFD-SSL: generative federated knowledge distillation-based semi-supervised learning
A linguistic intuitionistic multi-criteria decision-making method based on the Frank Heronian mean operator and its application in evaluating coal mine safety
Computing formal concepts in parallel via a workload rebalance approach
Modification of the BWM and MABAC method for MAGDM based on q-rung orthopair fuzzy rough numbers
Multi-period mean-variance portfolio selection with real constraints based on machine learning
YOLO-SDH: improved YOLOv5 using scaled decoupled head for object detection
An adaptive consensus model for managing non-cooperative behaviors in portfolio optimization for large companies
Robust nonparallel support vector machine with privileged information for pattern recognition
Enhancing a machine learning binarization framework by perturbation operators: analysis on the multidimensional knapsack problem
Dynamic optimisation based fuzzy association rule mining method
Fuzzy large margin distribution machine for classification
Risk-Averse support vector classifier machine via moments penalization
Flexible anchor-based multi-view clustering with low-rank decomposition
Human posture recognition based on multiple features and rule learning
Correction to: IntelPVT: intelligent patch-based pyramid vision transformers for object detection and classification
Ff-mat:a model integrating global feature filter and diverse interactions for click-through rate prediction
Interactive learning for joint event and relation extraction
Robust tensor subspace learning for anomaly detection
Automatically synthesizing DoS attack traces using generative adversarial networks
Image enhancement based on fractional directional derivative
Learning from correlation with extreme learning machine
Reduced-reference image quality assessment through SIFT intensity ratio
Knowledge-aware interaction networks for domain-adaptive end-to-end aspect-based sentiment analysis
Interval sets and three-way concept analysis in incomplete contexts
A new case based reasoning diagnosis approach within a possibilistic framework
A general framework for improving cuckoo search algorithms with resource allocation and re-initialization
Hybrid (fuzzy-stochastic) modelling in construction operations management
SGSM: semi-generalist sensing model combining handcrafted and deep learning methods
A group incremental feature selection based on knowledge granularity under the context of clustering
Fast learning complex-valued classifiers for real-valued classification problems
CL-MAX: a clustering-based approximation algorithm for mining maximal frequent itemsets
Accelerating ReliefF using information granulation
Pedestrian trajectory prediction based on spatio-temporal attention mechanism
Word-character attention model for Chinese text classification
A new global robust stability condition for uncertain neural networks with discrete and distributed delays
Consistency-preserving attribute reduction in fuzzy rough set framework
Decision function estimation using intelligent gravitational search algorithm
Wavelet transform-based weighted \(\nu\)-twin support vector regression
Event-triggered adaptive fuzzy echo-state-network control of state constrained nonlinear switched systems with asynchronous switching
Leveraging dataset integration and continual learning for human activity recognition
An active multi-class classification using privileged information and belief function
Gujarati character recognition using adaptive neuro fuzzy classifier with fuzzy hedges
Non-fragile H ∞ state feedback control for singular Markovian jump fuzzy systems with interval time-delay
Cascaded cluster ensembles
Fuzzy clustering with non-local information for image segmentation
QMGR-Net: quaternion multi-graph reasoning network for 3D hand pose estimation
Bat algorithm with triangle-flipping strategy for numerical optimization
Exploiting deep textures for image retrieval
Thinking and methodology of multi-objective optimization
An algorithm based on valuation forecasting for game tree search
A new fast fuzzy Cocke-Younger-Kasami algorithm for DNA strings analysis
Undersampling based on generalized learning vector quantization and natural nearest neighbors for imbalanced data
Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm
Random forest for big data classification in the internet of things using optimal features
Multi-scale multi-label feature selection via fuzzy mutual information
Dual discriminator adversarial distillation for data-free model compression
Weighted multi-deep ranking supervised hashing for efficient image retrieval
A real-valued label noise cleaning method based on ensemble iterative filtering with noise score
Study of the polytope of the \({{\, \mathrm{at \text{-} least}\, }}\) predicate
Recurrence quantification analysis of EEG signals for tactile roughness discrimination
Fuzzy soft set over a fuzzy topological space
Fuzzy entropies for class-specific and classification-based attribute reducts in three-way probabilistic rough set models
3D transfer learning network for classification of Alzheimer's disease with MRI
Fusing sequential minimal optimization and Newton's method for support vector training
Relative entropy-regularized optimal transport on a graph: a new algorithm and an experimental comparison
Toward an efficient fuzziness based instance selection methodology for intrusion detection system
Gformer: a novel spatio-temporal transformer network for accurate traffic flow prediction
FewJoint: few-shot learning for joint dialogue understanding
Simulated annealing with stochastic local search for minimum dominating set problem
Decision-theoretic rough set model of multi-source decision systems
DRA: dynamic routing attention for neural machine translation with low-resource languages
Steadiness analysis of means-end conceptual paths and problem-chains based on concept lattices and similarity measuring
Knowledge representation and reasoning using self-learning interval type-2 fuzzy Petri nets and extended TOPSIS
Prompt-based data labeling method for aspect based sentiment analysis
A fuzzy clustering ensemble selection based on active full-link similarity
Clean-label attack based on negative afterimage on neural networks
Bee: towards a robust attribute reduction
A novel autism spectrum disorder identification method: spectral graph network with brain-population graph structure joint learning
Geometric approach for score and accuracy functions on nPIVFSs and its application in ranking of tourist cities
A decomposition based multiobjective evolutionary algorithm with self-adaptive mating restriction strategy
A multi-level classification and prediction of unbalanced dataset real and fake faces using hybrid CMNV2 and deep learning methods
Pseudo almost periodic high-order cellular neural networks with complex deviating arguments
A further study on biologically inspired feature enhancement in zero-shot learning
Cancer cells population control in a delayed-model of a leukemic patient using the combination of the eligibility traces algorithm and neural networks
Feature augmentation and scale penalty for tiny floating detection
Multi-granulation Multi-scale Relation Network for Abstract Reasoning
Attribute reduction based on directional semi-neighborhood rough set
Structural-damage detection with big data using parallel computing based on MPSoC
A simple and effective outlier detection algorithm for categorical data
Dynamic multi-label feature selection algorithm based on label importance and label correlation
Maximum density minimum redundancy based hypergraph regularized support vector regression
A multi-label image classification method combining multi-stage image semantic information and label relevance
Local positive and negative label correlation analysis with label awareness for multi-label classification
An approach to interval-valued intuitionistic stochastic multi-criteria decision-making using set pair analysis
MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA
Hessian unsupervised extreme learning machine
Towards on-line tuning of adaptive-agent's multivariate meta-parameter
Adaptive condensed fuzzy monotonic K-nearest neighbors for monotonic classification
GLinear: multivariate time series forecasting method towards controllable and efficient grouping
The effect of online reviews on e-tailers' pricing in a dual-channel market with competition
Consensus of nonlinear multi-agent systems with fuzzy modelling uncertainties via state-constraint hybrid impulsive protocols
Underwater image enhancement based on multiscale fusion generative adversarial network
An efficient modified differential evolution algorithm for solving constrained non-linear integer and mixed-integer global optimization problems
Design of custom-made stacked patch antennas: a machine learning approach
Across-task neural architecture search via meta learning
Data sanitization against adversarial label contamination based on data complexity
A knowledge discovery and visualisation method for unearthing emotional states from physiological data
Multi-level preference regression for cold-start recommendations
Multi-scale patch fuzzy decision for face recognition with category information
Reliable social media framework: fake news detection using modified feature attention based CNN-BiLSTM
A new supervised outlier detection method for hybrid data
FRS-SIFS: fuzzy rough set session identification and feature selection in web robot detection
Enhancing Spotted Hyena optimization with fuzzy logic for complex engineering optimization
Composite feature fusion for improved offensive language detection in Tamil social media using MHA-LSTM
A hierarchical reasoning graph neural network for the automatic scoring of answer transcriptions in video job interviews
Geometric aggregation operators with interval-valued Pythagorean trapezoidal fuzzy numbers based on Einstein operations and their application in group decision making
Global contextual attention for pure regression object detection
A multi-granular general evolutionary computation framework by fully utilizing the eliminated particles
Speed control of electric vehicle by using type-2 fuzzy neural network
The generation of band information law and the dynamic hiding of information law
Global-chronological graph interactive networks for multi-domain dialogue state tracking
IMANet: an iterative multi-scale attention network for skin lesion segmentation
A two-stage personalized feedback mechanism considering dynamic interactive behavior under social network in large-group emergency task scheduling schemes selection
Timeliness online regularized extreme learning machine
Lightweight image super-resolution with group-convolutional feature enhanced distillation network
Decomposition methods of formal contexts to construct concept lattices
Fine-grained multimodal named entity recognition with heterogeneous image-text similarity graphs
Structure learning for weighted networks based on Bayesian nonparametric models
A composite contract for coordinating a supply chain with sales effort-dependent fuzzy demand
Efficient identification technique for 2-additive fuzzy measures with consideration of objective relationships among features
Depth estimation from infrared video using local-feature-flow neural network
Certain types of soft coverings based rough sets with applications
A co-training method based on parameter-free and single-step unlabeled data selection strategy with natural neighbors
Multiresolution analysis relying on Beta wavelet transform and multi-mother wavelet network for a novel 3D mesh alignment and deformation technique
Probabilistic characterization of nearest neighbor classifier
Similarity-based attribute reduction in rough set theory: a clustering perspective
Learning deep hierarchical and temporal recurrent neural networks with residual learning
Faster and lighter surface defect detection model for transparent wine bottle
An uncertainty based incremental learning for identifying the severity of bug report
Music-evoked emotion recognition based on cognitive principles inspired EEG temporal and spectral features
A survey on analysis of human faces and facial expressions datasets
Knowledge granularity based incremental attribute reduction for incomplete decision systems
Scalable decision fusion algorithm for enabling decentralized computation in distributed, big data clustering problems
A full variate Gaussian model-based RM-MEDA without clustering process
One-step multi-view spectral clustering by learning common and specific nonnegative embeddings
An inspection method of rail head surface defect via bimodal structured light sensors
Unsupervised extreme learning machine with representational features
Multiple attribute group decision making based on interval neutrosophic uncertain linguistic variables
Discovering the discovery of the hierarchy of formal languages
Multiple attribute group decision making based on generalized power aggregation operators under interval-valued dual hesitant fuzzy linguistic environment
Q-CAD: quantized convolutional accelerated detection via channel concatenation-based quantized inference for faster DDoS attack detection
An improved neural dynamics based approach with territorial mechanism to online path planning of multi-robot systems
Sequential attention layer-wise fusion network for multi-view classification
Dynamic clustering collaborative filtering recommendation algorithm based on double-layer network
Adaptive coefficient-based kernelized network for personalized activity recognition
PDR-SMOTE: an imbalanced data processing method based on data region partition and K nearest neighbors
Sentop: sentence-level prefix prompt for controllable abstractive summarization
Pronunciation guided copy and correction model for ASR error correction
A selective neural network ensemble classification for incomplete data
Matroidal approaches to generalized rough sets based on relations