yusuke1997/dblp-id-title huggingface dataset:
Multilevel structure fusion for community detection in heterogeneous graphs via disrupting heterophily
Two-stage multiple kernel learning with multiclass kernel polarization
Complementary label learning with scarce annotated information
Semi-supervised fuzzy clustering: A kernel-based approach
Domain base dynamic convolution and distance map guidance for anterior mediastinal lesion segmentation
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity
Integrated deep learning-based IRACE and convolutional neural networks for chest X-ray image classification
MVCNet: Multi-view contrastive network for motor imagery classification
Astrologer: Exploiting graph neural Hawkes process for event propagation prediction with spatio-temporal characteristics
Exploring the strategy to improve senior citizens' participations on recreational sports
Robust semi-supervised classification based on data augmented online ELMs with deep features
A bio-inspired emergent system for intelligent Web service composition and management
KfreqGAN: Unsupervised detection of sequence anomaly with adversarial learning and frequency domain information
Using argumentation to model and deploy agent-based B2B applications
A lightweight convolutional neural network for road surface classification under shadow interference
Self-adaptive feature learning based on a priori knowledge for facial expression recognition
Weighted feature selection via discriminative sparse multi-view learning
Identifying legitimate Web users and bots with different traffic profiles - an Information Bottleneck approach
Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm
Predicting restaurant survival using nationwide Google Maps data
Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network
Bayesian LDA for mixed-membership clustering analysis: The Rlda package
Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation
A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network
CoFIM: A community-based framework for influence maximization on large-scale networks
ET-HF: A novel information sharing model to improve multi-agent cooperation
A new family of information content models with an experimental survey on WordNet
NearCount: Selecting critical instances based on the cited counts of nearest neighbors
Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning
Robust boosting via self-sampling
What is this Cluster about? Explaining textual clusters by extracting relevant keywords
Active and adaptive ensemble learning for online activity recognition from data streams
Deep Transformer modeling via grouping skip connection for neural machine translation
Software requirement optimization using a multiobjective swarm intelligence evolutionary algorithm
CPLR: Collaborative pairwise learning to rank for personalized recommendation
Segment-level event perception with semantic dictionary for weakly supervised audio-visual video parsing
A semi-supervised label-driven auto-weighted strategy for multi-view data classification
Frame-based Neural Network for Machine Reading Comprehension
A novel deep metric learning model for imbalanced fault diagnosis and toward open-set classification
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis
WEAL: Weight-wise Ensemble Adversarial Learning with Gradient Manipulation
Semi-meta-supervised hate speech detection
An incremental method to detect communities in dynamic evolving social networks
A new optimization approach based on neural architecture search to enhance deep U-Net for efficient road segmentation
New feature attribution method for explainable aspect-based sentiment classification
Large-scale multimodal multiobjective evolutionary optimization based on hybrid hierarchical clustering
Multi-Label Low-dimensional Embedding with Missing Labels
Exploring reliable visual tracking via target embedding network
Extracting non-redundant correlated purchase behaviors by utility measure
High-dimensional feature selection for genomic datasets
Large scale instance matching via multiple indexes and candidate selection
Measures of uncertainty for neighborhood rough sets
Self-supervised risk factor model using dual Recurrent State Space Models
UDNDSNet: A unified deterministic and non-deterministic segmentation network for multi-scene medical image analysis
A new method to determine basic probability assignment using core samples
An MCDM method for cloud service selection using a Markov chain and the best-worst method
Efficient yet secure: An archive knowledge graph-enhanced native sparse attention network for lightweight privacy-preserving recommendation
Search space division method for wrapper feature selection on high-dimensional data classification
Learning graph from graph signals: An approach based on sensitivity analysis over a deep learning framework
Normal forms of rule-based knowledge systems
Bidirectional possibilistic dominance in uncertain decision making
Domain generalized person reidentification based on skewness regularity of higher-order statistics
Interactive fuzzy knowledge distance-guided attribute reduction with three-way accelerator
Self-adapted mixture distance measure for clustering uncertain data
A discrete consensus support model for multiple attribute group decision making
Adversarial domain adaptation network with MixMatch for incipient fault diagnosis of PMSM under multiple working conditions
Sparse neighbor constrained co-clustering via category consistency learning
A class boundary prediction method by self-representation based pattern selection and geometric-constrained diffusion generation
Memory-aware gated factorization machine for top-N recommendation
Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers
SDLFusion: A salient-aware differentiated learning network for infrared and visible image fusion
Self-supervised class-balanced active learning with uncertainty-mastery fusion
The bi-objective quadratic multiple knapsack problem: Model and heuristics
Sequential three-way classifier with justifiable granularity
A line-segment-based non-maximum suppression method for accurate object detection
Parallel search-and-learn technique for solving large scale travelling-salesperson problems
Index-BitTableFI: An improved algorithm for mining frequent itemsets
Multi-view learning via multiple graph regularized generative model
Feature selection for noisy variation patterns using kernel principal component analysis
Nonlinear perturbed label-based graph regularized multi-label learning with missing labels
Enhancing review-based user representation on learned social graph for recommendation
A reliable version of choquistic regression based on evidence theory
Context Based Positive and Negative Spatio-Temporal Association Rule Mining
Hic-KGQA: Improving multi-hop question answering over knowledge graph via hypergraph and inference chain
Topic-level knowledge sub-graphs for multi-turn dialogue generation
An approach for copy-move image multiple forgery detection based on an optimized pre-trained deep learning model
User-centric recommendations on energy-efficient appliances in smart grids: A Multi-task learning approach
A modified CRITIC with a reference point based on fuzzy logic and hamming distance
Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments
Data mining method for listed companies' financial distress prediction
Automatic verification of a knowledge base by using a multi-criteria group evaluation with application to security screening at an airport
Combining contextual, temporal and topological information for unsupervised link prediction in social networks
Pruning-enabled dynamic influence maximization using antlion optimization
IGCDet: Independence guided co-training for sparsely annotated object detection
Bio-inspired optimization of feature selection and SVM tuning for voice disorders detection
SleepECGFusion: a cross-modal deep learning framework for automatic sleep stage classification using single-lead ECG
Protected attribute guided representation learning for bias mitigation in limited data
Improved fireworks algorithm with information exchange for function optimization
Similarity measure for vague sets based on implication functions
Sharpness-Aware Minimization method with momentum acceleration for deep neural networks
Self-paced ARIMA for robust time series prediction
Combining max-min ant system with effective local search for solving the maximum set k-covering problem
Matroidal structure of rough sets and its characterization to attribute reduction
Solving maximum set k-covering problem by an adaptive binary particle swarm optimization method
Evolving graph structure learning for multivariate time series forecasting
Discriminative manifold domain adaptation for cross-domain fault diagnosis of rotating machineries
Multi-order hypergraph convolutional network framework for intracranial brain hemorrhage detection in wearable healthcare systems
Enhancing user creativity: Semantic measures for idea generation
Securing virtualized cloud infrastructures with temporal inductive path neural networks for attack detection
An effective multi-objective evolutionary algorithm for solving the AGV scheduling problem with pickup and delivery
A fuzzy conceptualization model for text mining with application in opinion polarity classification
Human-computer interaction viewed as pseudo-communication
Optimized explicit feature interaction-aware graph neural network approach for intrusion detection systems in modern cloud computing environments
DARE: Deceiving Audio-Visual speech Recognition model
LFE-PointMamba: Point cloud learning via local feature enhancement and state space model
ODDF-Net: Multi-object segmentation in 3D retinal OCTA using optical density and disease features
Towards Context-aware Social Recommendation via Individual Trust
MSSTGNN: Multi-scaled Spatio-temporal graph neural networks for short- and long-term traffic prediction
Learning with noisy labels for robust fatigue detection
Semantics of soft sets and three-way decision with soft sets
Label shift conditioned hybrid querying for deep active learning
Restricted Boltzmann Machine-driven Interactive Estimation of Distribution Algorithm for personalized search
Cross-modal consistency types in multimodal social data
Locating the propagation source in complex networks with a direction-induced search based Gaussian estimator
Development of a KBS for managing bank loan risk
Adversarial correlated autoencoder for unsupervised multi-view representation learning
Reasoning over multiplex heterogeneous graph for Target-oriented Opinion Words Extraction
Collaborative filtering adapted to recommender systems of e-learning
Data mining for exploring hidden patterns between KM and its performance
PCA-based high-dimensional noisy data clustering via control of decision errors
Enhanced Graph Transformer: Multi-scale attention with Heterophilous Curriculum Augmentation
Semantically interpretable soft prompt tuning via projection-guided alignment
Causal representation learning via graph attention mechanism with aggregating causal information
Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace
Fluid models for call centers with delay announcement and retrials
Rapid antenna optimization with restricted sensitivity updates by automated dominant direction identification
Corrigendum to "A novel gray wolf optimizer with RNA crossover operation for tackling the non-parametric modeling problem of FCC process" [Knowl.-Based Syst. 216 (2021) 1-28/106751]
A new validity index of feature subset for evaluating the dimensionality reduction algorithms
Document-level relation extraction with three channels
Improved trust-aware recommender system using small-worldness of trust networks
Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks
GenSMILES: An enhanced validity conscious representation for inverse design of molecules
Nonnegative matrix factorization for clustering ensemble based on dark knowledge
Sampling algorithms for stochastic graphs: A learning automata approach
No Free Lunch in imbalanced learning
MD-MBPLS: A novel explanatory model in computational social science
FractalMM architecture: Fractal feature fusion for privacy-preserved multimodal depression recognition
Role-based network embedding via structural features reconstruction with degree-regularized constraint
Node-depth based Genetic Algorithm to solve Inter-Domain path computation problem
A bio-inspired hybrid deep learning model for network intrusion detection
EfficientNet-based universum-inspired supervised contrastive learning and transfer learning for in-vehicle intrusion detection systems
Towards efficiently mining closed high utility itemsets from incremental databases
Deep learning-based surrogate modeling via physics-informed artificial image (PiAI) for strongly coupled multidisciplinary engineering systems
Initialization method for grammar-guided genetic programming
Dynamic randomization and domain knowledge in Monte-Carlo Tree Search for Go knowledge-based systems
A review of deep learning with special emphasis on architectures, applications and recent trends
Forum latent Dirichlet allocation for user interest discovery
Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement
Searching for the best student architecture in a knowledge distillation framework
FedAGA: A federated learning framework for enhanced inter-client relationship learning
A reinforcement learning approach to edge suggestion for fair information access on social networks
Open asynchronous dynamic cellular learning automata and its application to allocation hub location problem
Exploring ubiquitous relations for boosting classification and localization
GTMFuse: Group-attention transformer-driven multiscale dense feature-enhanced network for infrared and visible image fusion
An adaptable, high-performance relation extraction system for complex sentences
KG-prompt: Interpretable knowledge graph prompt for pre-trained language models
PRADA: Prompt-guided Representation Alignment and Dynamic Adaption for time series forecasting
Emergent media environment for idea creation support
Multi-model fusion metric learning for image set classification
Geometric Bonferroni means with their application in multi-criteria decision making
Hybrid meta-heuristics for the unrelated parallel machine scheduling problem with setup times
Constructing negative samples via entity prediction for multi-task knowledge representation learning
Trustiness-based hierarchical decentralized federated learning
Approximate weighted frequent pattern mining with/without noisy environments
WFFS - An ensemble feature selection algorithm for heterogeneous traffic accident data analysis
Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup
Similarity-learning information-fusion schemes for missing data imputation
Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information
Monitoring online reviews for reputation fraud campaigns
SRR-DDI: A drug-drug interaction prediction model with substructure refined representation learning based on self-attention mechanism
FGCAN: Filter-based Gated Contextual Attention Network for event detection
Adaptive and large-scale service composition based on deep reinforcement learning
Analysis of cross-price effects on markdown policies by using function approximation techniques
Determining the direction of the local search in topological ordering space for Bayesian network structure learning
A fuzzy ontology for semantic modelling and recognition of human behaviour
Compacted decision tables based attribute reduction
Rule-based program specialization to optimize gradually typed code
Anomaly intrusion detection based on PLS feature extraction and core vector machine
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off
Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection
A unified knowledge compiler to provide support the scientific community
Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines
A hybrid generative/discriminative method for semi-supervised classification
Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition
Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices
A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making
Differentially private publication of database streams via hybrid video coding
An automatic detection of focal EEG signals using new class of time-frequency localized orthogonal wavelet filter banks
Progressive de-preference task-specific processing for generalizable person re-identification
On the analytic hierarchy process and decision support based on fuzzy-linguistic preference structures
Randomly Attracted Rough Firefly Algorithm for histogram based fuzzy image clustering
Discriminative sparse coding on multi-manifolds
Robust two-stage instance-level cost-sensitive learning method for class imbalance problem
Gated and attentive neural collaborative filtering for user generated list recommendation
Target-level sentiment analysis for news articles
SCA-InceptionUNeXt: A lightweight Spatial-Channel-Attention-based network for efficient medical image segmentation
SpatialIE: Towards adaptive floating waste detection in unpredictable weather
An end-to-end functional spiking model for sequential feature learning
An integrated interval type-2 fuzzy technique for democratic-autocratic​ multi-criteria decision making
A penalty-based aggregation operator for non-convex intervals
Online shop location optimization using a fuzzy multi-criteria decision model - Case study on Taobao.com
DeepWind: a heterogeneous spatio-temporal model for wind forecasting
RIMNet: Recommendation Incentive Mechanism based on evolutionary game dynamics in peer-to-peer service networks
Link prediction in multiplex networks: An evidence theory method
Long-term evolutionary patterns matter: Self-supervised anomaly detection on dynamic graphs
A case-based classifier for hypertension detection
Active layered topology mapping driven by road intersection
A novel adaptive marker segmentation graph convolutional network for aspect-level sentiment analysis
An evolutionary multi-agent reinforcement learning algorithm for multi-UAV air combat
DriveFL: A dynamic reputation incentive mechanism for federated learning in dense internet of vehicles
A personalised TV listings service for the digital TV age
CAFNet: Circular Attention Fusion for medical image segmentation
HEFT: A History-Enhanced Feature Transfer framework for incremental event detection
An improved brain-motivated network for forecasting day-ahead stock prices of electricity companies
A Dynamic Multi-modal deep Reinforcement Learning framework for 3D Bin Packing Problem
Multimodal representation fusion method for dense video captioning
High performance visual tracking with circular and structural operators
Ranking and selection of unsupervised learning marketing segmentation
Don't overlook any detail: Data-efficient reinforcement learning with visual attention
Robust and discriminative 3D point cloud zero-watermarking scheme based on multi-feature attentional fusion
Time-dependent frequent sequence mining-based survival analysis
Using extreme prior probabilities on the Naive Credal Classifier
Decision-theoretic rough set: A multicost strategy
VLSG-SANet: A feature matching algorithm for remote sensing image registration
Unsupervised domain adaptation with Joint Adversarial Variational AutoEncoder
Learning unseen visual prototypes for zero-shot classification
Few-shot online anomaly detection and segmentation
Multi-task learning with graph attention networks for multi-domain task-oriented dialogue systems
Multiple-element joint detection for Aspect-Based Sentiment Analysis
A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models
A generalization of universal integrals by means of level dependent capacities
A novel double deep ELMs ensemble system for time series forecasting
Efficient small object detection based on multi-level implicit feature enhancement and presence region mask guidance
Link prediction in weighted networks via motif predictor
Decision support systems for adoption in dental clinics: A survey
A local spline regression-based framework for semi-supervised sparse feature selection
Failing of Dempster's combining rule of interval-given probabilities
NSDH: A Nonlinear Supervised Discrete Hashing framework for large-scale cross-modal retrieval
Unifying heterogeneous and homogeneous relations for personalized compatibility modeling
Multi-Relation Learning Network for audio-visual event localization
A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning
Mining event logs to support workflow resource allocation
PATNet: Patch-to-pixel attention-aware transformer network for RGB-D and RGB-T salient object detection
Variational co-embedding learning for attributed network clustering
Fuzzy treed Gaussian process for nonstationary regression with large-scale datasets
DPER: Direct Parameter Estimation for Randomly missing data
An end-to-end learning approach for enhancing intrusion detection in Industrial-Internet of Things
MV-ReID: 3D Multi-view Transformation Network for Occluded Person Re-Identification
A method for multiple attribute decision making with incomplete weight information in linguistic setting
The RDF virtual machine
A unified cross-source context enhancement model for multi-source fake news detection
Unsupervised conversion method of high bit-depth remote sensing images using contrastive learning
Zero tolerance cue angle analysis and its effect on successive sink rate of a low cost billiard reposition control tutoring system
Horizontal and vertical features fusion network based on different brain regions for emotion recognition
Item-based top-N recommendation resilient to aggregated information revelation
Probabilistic distance based abnormal pattern detection in uncertain series data
An auction based task dispatching and pricing mechanism in bike-sharing
A novel consensus model for multi-attribute large-scale group decision making based on comprehensive behavior classification and adaptive weight updating
SemCaDo: A serendipitous strategy for causal discovery and ontology evolution
Knowledge discovery in social networks by using a logic-based treatment of implications
Multivariate time series generation based on dual-channel Transformer conditional GAN for industrial remaining useful life prediction
RuleKit: A comprehensive suite for rule-based learning
Vision model fine-tuning based on two-level prompts fusion
Aspect extraction for opinion mining with a deep convolutional neural network
Intention action anticipation model with guide-feedback loop mechanism
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation
A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering
Towards sophisticated decision models: Nonadditive robust ordinal regression for preference modeling
Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors