yusuke1997/dblp-id-title huggingface dataset:
Adaptive weighting function for weighted nuclear norm based matrix/tensor completion
A fast algorithm for training support vector regression via smoothed primal function minimization
Double feature selection algorithm based on low-rank sparse non-negative matrix factorization
Knowledge representation and reasoning with industrial application using interval-valued intuitionistic fuzzy Petri nets and extended TOPSIS
Blood glucose prediction for type 1 diabetes based on self attention-TCN module
Robust adaptive nonsingular terminal sliding mode control of MEMS gyroscope using fuzzy-neural-network compensator
A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization
Special issue on small data analytics
Logic could be learned from images
Improved D3QN with graph augmentation for enhanced multi-UAV cooperative path planning in urban environments
A data reduction method in formal fuzzy contexts
Weight-sharing multi-stage multi-scale ensemble convolutional neural network
Study on the relationship between prefix caching and path stretch ratio
Dual-stream modality prompt network for individual cattle identification
A theoretical study on object-oriented and property-oriented multi-scale formal concept analysis
RSGNN: residual structure graph neural network
Correction: Landmark based guidance for reinforcement learning agents under partial observability
Remaining useful life prediction of rolling bearing with determined first predicting time by transfer clustering learning and stochastic configuration networks
DRCW-FRkNN-OVO: distance-based related competence weighting based on fixed radius k nearest neighbour for one-vs-one scheme
ART: group recommendation approaches for automatically detected groups
Normal neutrosophic frank aggregation operators and their application in multi-attribute group decision making
Application of fuzzy analytic hierarchy process in the risk assessment of dangerous small-sized reservoirs
Building semi-supervised decision trees with semi-cart algorithm
Double-quantitative multigranulation rough fuzzy set based on logical operations in multi-source decision systems
Special issue on semantic data analytics and bioinformatics
An extensive experimental study on segmenting online time series with error bound guarantee
Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms
An alternative to face image representation and classification
CNN-LDNF: an image feature representation approach with multi-space mapping
On selective learning in stochastic stepwise ensembles
BiL-FaND: leveraging ensemble technique for efficient bilingual fake news detection
Observer-based mixed H ∞ and passive control for T-S fuzzy semi-Markovian jump systems with time-varying delay via sliding mode method
Structural vibration suppression by using neural classifier with genetic algorithm
Hierarchical feature selection based on knowledge and data correlation
Plm-pos sponsored transformer-based ancient Chinese-English neural machine translation
Graph neural network based time estimator for SAT solver
Path-based estimation for link prediction
Fault diagnosis of biological systems using improved machine learning technique
A graph-powered large-scale fraud detection system
Prototype completion and dynamic loss in few-shot classification network
Routing protocol for low power and lossy network-load balancing time-based
Enhancing network security in industrial IoT environments: a DeepCLG hybrid learning model for cyberattack detection
Deep hashing via multi-scale and multi-directional pooling for image retrieval
Fedmpo : federated optimization based on multidimensional especially 3-dimensional proximal operator
A hybrid model for opinion mining based on domain sentiment dictionary
Constrained nonnegative matrix factorization-based semi-supervised multilabel learning
A novel semantic feature enhancement network for extracting lake water from remote sensing images
A projection and contraction method for circular cone programming support vector machines
State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble
A self-adaptive exhaustive search optimization-based method for restoration of bridge defects images
A robust spectral clustering algorithm based on grid-partition and decision-graph
Bat algorithm with principal component analysis
Domain adaptive knowledge tracing
Emerging trends in federated learning: from model fusion to federated X learning
Consistency regularization for deep semi-supervised clustering with pairwise constraints
Gait symmetry measurement method based on a single camera
Human activity recognition using pre-trained network with informative templates
Semi-supervised incremental domain generalization learning based on causal invariance
Mixed H 2 /H ∞ pitch control of wind turbine generator system based on global exact linearization and regional pole placement
A generalized tri-factorization method for accurate matrix completion
Learning number reasoning for numerical table-to-text generation
Large language models for medicine: a survey
The probabilistic ordered weighted continuous OWA operator and its application in group decision making
Simultaneous feature selection and clustering of micro-array and RNA-sequence gene expression data using multiobjective optimization
Proposing a delay in payment contract for coordinating a two-echelon periodic review supply chain with stochastic promotional effort dependent demand
BSSFS: binary sparrow search algorithm for feature selection
Flexible robust principal component analysis
A dynamic multi-swarm cooperation particle swarm optimization with dimension mutation for complex optimization problem
Kernel alignment-based three-way clustering on attribute space and its application in stroke risk identification
Interval-valued fuzzy planar graphs
Stochastic trust region inexact Newton method for large-scale machine learning
Incorporating user experience into critiquing-based recommender systems: a collaborative approach based on compound critiquing
Weighted fuzzy clustering approach with adaptive spatial information and Kullback-Leibler divergence for skin lesion segmentation
LAR-SiCo: recommending law articles based on multi-label text classification
Learning to refine source representations for neural machine translation
Local Community Detection Based on Core Nodes using Deep Feature Fusion
Do gradient-based explanations tell anything about adversarial robustness to android malware?
A feature selection technique based on rough set and improvised PSO algorithm (PSORS-FS) for permission based detection of Android malwares
Large-Scale Stream k-means based on Product-Quantized codes
Implicit social recommendation algorithm based on multilayer fuzzy perception similarity
On-line and dynamic time warping for time series data mining
Hesitant fuzzy linguistic linear programming technique for multidimensional analysis of preference for multi-attribute group decision making
A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images
DroFormer: temporal action detection with drop mechanism of attention
Connections between two-universe rough sets and formal concepts
Data-driven decision-making with weights and reliabilities for diagnosis of thyroid cancer
Twin support vector machines based on fruit fly optimization algorithm
Correction: Multi-strategy dung beetle optimizer for global optimization and feature selection
Integration of incremental filter-wrapper selection strategy with artificial intelligence for enterprise risk management
Novel face anti-spoofing by integration of data augmentation, selective feature learning, and LaSupCon loss
Underdetermined blind source separation of speech mixtures unifying dictionary learning and sparse representation
Adaptive safety degree-based safe semi-supervised learning
An Adaptive neuro-fuzzy backstepping sliding mode controller for finite time stabilization of fractional-order uncertain chaotic systems with time-varying delays
An adjustable multigranulation fuzzy rough set
Two-dimensional PLSR with manifold optimization based CNN for image classification
A shadowed set-based three-way clustering ensemble approach
MapReduce-based fuzzy c-means clustering algorithm: implementation and scalability
Assessment of patients with Parkinson's disease based on federated learning
Fusing lane-level flow inference and multi-step RL for adaptive traffic signal coordination
A two ensemble system to handle concept drifting data streams: recurring dynamic weighted majority
Exploring of alternative representations of facial images for face recognition
Multiformer-based hybrid learning with outlier re-assignment for unsupervised person re-identification
Multiplication fusion of sparse and collaborative-competitive representation for image classification
A novel binary many-objective feature selection algorithm for multi-label data classification
A mathematical modeling of detection capability of PDT with planar thickness sector field of view and projectile signal recognition algorithm
Knowledge reduction of dynamic covering decision information systems caused by variations of attribute values
Evidence theory based optimal scale selection for multi-scale ordered decision systems
Ordered smooth representation clustering
Streamer temporal action detection in live video by co-attention boundary matching
A deep reinforcement learning approach incorporating genetic algorithm for missile path planning
A self-organized consensus-reaching model considering personalized individual semantic continuous learning for LSGDM: application for medical consumables assessment
Minimum-cost based hidden Markov model with speed constraint for intruder trajectory recovery in utility tunnels
Dynamic feature selection combining standard deviation and interaction information
BPSO-SLM: a binary particle swarm optimization-based self-labeled method for semi-supervised classification
A joint extraction model of entities and relations based on relation decomposition
Knowledge-enhanced recommendation via dynamic co-attention and high-order connectivity
Grouping attributes: an accelerator for attribute reduction based on similarity
Imperceptible watermark for a game-theoretic watermarking system
DaCFN: divide-and-conquer fusion network for RGB-T object detection
A novel prior-based real-time click through rate prediction model
Optimal design of low power high gain and high speed CMOS circuits using fish swarm optimization algorithm
DISCERN: diversity-based selection of centroids for k-estimation and rapid non-stochastic clustering
Gradient-guided swin transformer with edge-aware fusion for enhanced image super-resolution
Ensemble subspace clustering of text data using two-level features
Research on a hierarchical intervention algorithm for violent crime based on CLGA-Net
Microbial data augmentation combining feature extraction and transformer network
Knowledge-based and data-driven underground pressure forecasting based on graph structure learning
Minimum class variance support vector ordinal regression
Cognitive concept learning from incomplete information
A survey of the state-of-the-arts on neutrosophic sets in biomedical diagnoses
Perturbation-based oversampling technique for imbalanced classification problems
Fuzzy rough clustering for categorical data
Dynamic pricing in profit-driven task assignment: a domain-of-influence based approach
An ELM based local topology preserving hashing
Multi-class feature selection via Sparse Softmax with a discriminative regularization
An efficient microaneurysms detection approach in retinal fundus images
Fractional-Grey Wolf optimizer-based kernel weighted regression model for multi-view face video super resolution
The processing for label noise based on attribute reduction and two-step method
A novel multiple attribute decision-making approach for evaluation of emergency management schemes under picture fuzzy environment
Data-driven quantification and intelligent decision-making in traditional Chinese medicine: a review
A robust semi-supervised deep learning approach for emotion recognition using EEG signals
Hierarchical multi-attention networks for document classification
A fast decision making method for mandatory lane change using kernel extreme learning machine
MAGDM in hesitant interval-valued Pythagorean linguistic Z-number based on combined score function and entropy
Fuzzy K-means clustering with reconstructed information
The fusion feature wavelet pyramid based on FCIS and GLCM for texture classification
TL-LFF Net: transfer learning based lighter, faster, and frozen network for the detection of multi-scale mixed intracranial hemorrhages through genetic optimization algorithm
CovidViT: a novel neural network with self-attention mechanism to detect Covid-19 through X-ray images
Coarse-to-fine domain adaptation object detection with feature disentanglement
MS-NET: modular selective network
On multigranulation rough sets in incomplete information system
Linear discriminant analysis for the small sample size problem: an overview
Froth image clustering with feature semi-supervision through selection and label information
Projective synchronization for two nonidentical time-delayed fractional-order T-S fuzzy neural networks based on mixed \({H_\infty }\) /passive adaptive sliding mode control
Self-supervised learning-leveraged boosting ultrasound image segmentation via mask reconstruction
Textures and dynamic relational systems
Stability for a class of generalized reaction-diffusion uncertain stochastic neural networks with mixed delays
hier2vec: interpretable multi-granular representation learning for hierarchy in social networks
A brief review of modeling approaches based on fuzzy time series
Iterative filter pruning with combined feature maps and knowledge distillation
Adversarial attack method based on enhanced spatial momentum
Dictionary learning with the \({{\ell }_{1/2}}\) -regularizer and the coherence penalty and its convergence analysis
State estimation for memristor-based neural networks with time-varying delays
Special issue on evolutionary multi-objective optimization (EMO): theory and applications
Visual music score detection with unsupervised feature learning method based on K-means
Enhancing knowledge tracing with fine-grained session modeling
Localizing pedestrians in indoor environments using magnetic field data with term frequency paradigm and deep neural networks
Effects of artificially intelligent tools on pattern recognition
Effective weight function in graphs-based discriminant neighborhood embedding
An improvement to linear regression classification for face recognition
TAGNet: a tiny answer-guided network for conversational question generation
Privacy-preserving matrix factorization for recommendation systems using Gaussian mechanism and functional mechanism
Entropy regularized fuzzy nonnegative matrix factorization for data clustering
A hybrid method for increasing the speed of SVM training using belief function theory and boundary region
Cross kernel distance minimization for designing support vector machines
SCMP-IL: an incremental learning method with super constraints on model parameters
Advances in neural network based learning
Progressive image dehazing network based on dual feature extraction modules
Network embedding based on deep extreme learning machine
Transferring variational autoencoders with coarse-and-fine alignment for open set broad classification
Detection and localization of crowd behavior using a novel tracklet-based model
Unsupervised deep hashing with multiple similarity preservation for cross-modal image-text retrieval
Generalized linear discriminant analysis based on euclidean norm for gait recognition
Concept acquisition approach of object-oriented concept lattices
Interval twin support vector regression algorithm for interval input-output data
MVACL: joint multiple semantic-views and adaptive contrastive learning for graph classification
Improving landmark detection accuracy for self-localization through baseboard recognition
An ordered clustering algorithm based on fuzzy c-means and PROMETHEE
Entropy based optimal scale selection and attribute reduction in multi-scale interval-set decision tables
AC-EIC: addressee-centered emotion inference in conversations
Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data
TSLOD: a coupled generalized subsequence local outlier detection model for multivariate time series
MSLID-TCN: multi-stage linear-index dilated temporal convolutional network for temporal action segmentation
DP-U-Net++: inter-layer feature fusion for colorectal gland image segmentation
A Data-centric graph neural network for node classification of heterophilic networks
A multi-strategy hybrid cuckoo search algorithm with specular reflection based on a population linear decreasing strategy
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT
A novel multi-scale and sparsity auto-encoder for classification
KAMTFENet: a fall detection algorithm based on keypoint attention module and temporal feature extraction
Android malware adversarial attacks based on feature importance prediction
Dynamic path planning fusion algorithm with improved A* algorithm and dynamic window approach
Efficient low-light image enhancement with model parameters scaled down to 0.02M
Tripm: a multi-label deep learning SCA model for multi-byte attacks
CIRAN: extracting crowd interaction with residual attention network for pedestrian trajectory prediction
Global exponential stability of uncertain memristor-based recurrent neural networks with mixed time delays
Extreme learning machine with hybrid cost function of G-mean and probability for imbalance learning
An optimal control method for fuzzy supplier switching problem
Person detector for different overhead views using machine learning
TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm
A novel metaheuristic optimisation approach for text sentiment analysis
Fusing collaborative transformation with temporally aware target interaction networks for sequential recommendation
An experimental study on symbolic extreme learning machine
A multi-agent collaborative algorithm for task-oriented dialogue systems
Detection of adversarial examples through chaos quantification in time-series analysis
Machine translation using deep learning for universal networking language based on their structure
Reinforced multi-modal cyberbullying detection with subgraph neural networks
L p -norm probabilistic K-means clustering via nonlinear programming
Graph-regularized multi-view semantic subspace learning
Attribution reduction based on sequential three-way search of granularity
Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework
Uncovering hidden patterns: low-rank label correlations for multi-label weak-label learning
Multi-label feature selection via spectral clustering-based label enhancement and manifold distribution consistency
HOGFormer: high-order graph convolution transformer for 3D human pose estimation
MSIF: multi-spectrum image fusion method for cross-modality person re-identification
Joint feature fusion hashing for cross-modal retrieval
Improved particle swarm optimization based approach for bilevel programming problem-an application on supply chain model
Design your own universe: a physics-informed agnostic method for enhancing graph neural networks
An improved adaptive ORB-SLAM method for monocular vision robot under dynamic environments
Sampled-data state estimation for delayed neural networks with discontinuous activations
Deep feature network with multi-scale fusion for highly congested crowd counting
Formative semi-supervised learning based on adaptive combined model for brain-computer interface
Approximation of polygonal fuzzy neural networks in sense of Choquet integral norms
Analyze EEG signals with extreme learning machine based on PMIS feature selection
Multi-scale fusion transformer based weakly supervised hashing learning for instance retrieval
Multi-modality deep forest for hand motion recognition via fusing sEMG and acceleration signals
Deep-HybridUNet: an accurate polyp segmentation method for colonoscopy images based on deep hybrid attention network
Bayesian network structure training based on a game of learning automata
A few-shot fine-grained image classification method leveraging global and local structures
Meta-path-based heterogeneous graph neural networks in academic network
Improving world models for robot arm grasping with backward dynamics prediction
Predicting algal appearance on mortar surface with ensembles of adaptive neuro fuzzy models: a comparative study of ensemble strategies
Solving large-scale global optimization problems and engineering design problems using a novel biogeography-based optimization with Lévy and Brownian movements
Towards an optimally pruned classifier ensemble
An ORESTE approach for multi-criteria decision-making with probabilistic hesitant fuzzy information
Granulation selection and decision making with multigranulation rough set over two universes
Robust graph neural networks with Dirichlet regularization and residual connection
Multiple attribute group decision making based on generalized trapezoid fuzzy linguistic prioritized weighted average operator
Non-local tensor sparse representation and tensor low rank regularization for dynamic MRI reconstruction
Gas concentration prediction based on ED-SLSTM model under the framework of Trend Prediction-Time Point Prediction
DPCG: an efficient density peaks clustering algorithm based on grid
Boosting graph contrastive learning via adaptive graph augmentation and topology-feature-level homophily
Adaptive robust local online density estimation for streaming data
Relevance-aware visual entity filter network for multimodal aspect-based sentiment analysis
Probabilistic multiplicative unbalanced linguistic term set and its application in matrix games
A co-training approach for sequential three-way decisions
A framework for Chinese event semantic constraint predicates and their generation using PEFT LLM and RAG
Iterative joint classifier and domain adaptation for visual transfer learning
Research on fuzzy dynamic route choice model and algorithm of wargame
Recursive noisy label learning paradigm based on confidence measurement for semi-supervised depth completion
Diversity collaboratively guided random drift particle swarm optimization
A novel intuitionistic fuzzy three-way decision model based on an intuitionistic fuzzy incomplete information system
Identification of subtypes in digestive system tumors based on multi-omics data and graph convolutional network
Parity symmetrical collaborative representation-based classification for face recognition
Multi-distance metric network for few-shot learning
Optimal scale selection based on three-way decisions with decision-theoretic rough sets in multi-scale set-valued decision tables
Neural network observer-based leader-following consensus of heterogenous nonlinear uncertain systems
Adaptive multimodal prompt-tuning model for few-shot multimodal sentiment analysis
Learning discriminative feature via a generic auxiliary distribution for unsupervised domain adaptation
Class-weighted neural network for monotonic imbalanced classification
Frequency domain self-attention network with contrastive learning for sequential recommendation
Triplet-object loss for large scale deep image retrieval
Feature selection based on generalized variable-precision \((\vartheta , \sigma )\) -fuzzy granular rough set model over two universes
An accelerator for support vector machines based on the local geometrical information and data partition
AIDCOR: artificial immunity inspired density based clustering with outlier removal
Structural entropy minimization combining graph representation for money laundering identification
BICA: a binary imperialist competitive algorithm and its application in CBIR systems
Method for three-way decisions using similarity in incomplete information systems