yusuke1997/dblp-id-title huggingface dataset:
A multi-perspective knowledge graph embedding model fusing structural features and textual descriptions of entities
Long-tailed visual classification based on supervised contrastive learning with multi-view fusion
MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images
Development of a method framework to predict network structure dynamics in digital platforms: Empirical experiments based on API networks
Reliable hybrid knowledge distillation for multi-source domain adaptive object detection
Knowledge discovery of consensus and conflict interval-based temporal patterns: A novel group decision approach
Uncertainty-driven ensemble classification exploiting unlabeled data
MSMMIL: Multi-scan Mamba-based Multiple Instance Learning for whole slide image classification
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning
A graph-based approach for traffic prediction using similarity and causal relations between nodes
SDRM: A truncated SVD-based dimensionality reduction approach to efficient edge inference in Multi-head Attention Networks
A quality index for decision tree pruning
Multi-view Semantic Consistency based Information Bottleneck for Clustering
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision
TELS: Learning time-evolving information and latent semantics using dual quaternion for temporal knowledge graph completion
Adaptive aggregation for federated learning using representation ability based on feature alignment
TransPhyX: A data-driven method for dynamic physical field prediction in stochastic load time-series
RNNCTPs: A neural symbolic reasoning method using dynamic knowledge partitioning technology
An uncertain single machine scheduling problem with periodic maintenance
Sector-level sentiment analysis with deep learning
Optimal distributed subsampling for expected shortfall regression via Neyman-orthogonal score
Suggest what to tag: Recommending more precise hashtags based on users' dynamic interests and streaming tweet content
Robust deadline-aware network function parallelization framework under demand uncertainty
Online Adaptive Neural Observer for Prescribed Performance Hyper-Chaotic Systems
Set-CNN: A text convolutional neural network based on semantic extension for short text classification
PV2ES-BiRTM: Variational auto encoder sampling-based deep learning framework for emotion recognition from speech signals
A cost-driven online auto-scaling algorithm for web applications in cloud environments
Partial multi-label feature selection via low-rank and sparse factorization with manifold learning
A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data
Fair swarm learning: Improving incentives for collaboration by a fair reward mechanism
TCRec: A novel paper recommendation method based on ternary coauthor interaction
Attentional Memory Network with Correlation-based Embedding for time-aware POI recommendation
Building granular fuzzy decision support systems
The multi-depot split-delivery vehicle routing problem: Model and solution algorithm
Optimizing fake news detection for Arabic context: A multitask learning approach with transformers and an enhanced Nutcracker Optimization Algorithm
Intuitively interpreting GANs latent space using semantic distribution
A dynamic reward-based incentive mechanism: Reducing the cost of P2P systems
Evolving ensembles using multi-objective genetic programming for imbalanced classification
Personalised soft prompt tuning in pre-trained language models: Bridging multitask transfer learning and crowdsourcing learning
Assessment for hierarchical medical policy proposals using hesitant fuzzy linguistic analytic network process
A multi-method forecasting algorithm: Linear unbiased estimation of combine forecast
A semi-symmetric domain adaptation network based on multi-level adversarial features for meningioma segmentation
A heuristic approach to effective and efficient clustering on uncertain objects
Hierarchical spatial-angular integration for lightweight light field image super-resolution
Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach
Relevance assignation feature selection method based on mutual information for machine learning
Novel joint transfer fine-grained metric network for cross-domain few-shot fault diagnosis
Time-aware trustworthiness ranking prediction for cloud services using interval neutrosophic set and ELECTRE
Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm
SMWE-GFPNNet: A high-precision and robust method for forest fire smoke detection
Local and global context-based pairwise models for sentence ordering
A unified motion planning method for parking an autonomous vehicle in the presence of irregularly placed obstacles
A novel two-archive evolutionary algorithm for constrained multi-objective optimization with small feasible regions
ARETO : A joint entity and relation extraction model for the triple overlapping problem
Towards realistic single image shadow generation: A two-stage method with inharmonious localization and dual-dilated shadow pixel filtering
Deceptive evidence detection of belief functions based on reinforcement learning in partial label environment
A novel physics-aware graph network using high-order numerical methods in weather forecasting model
Designing shape-preserving descriptors for classifying signals with application to vibrations of large mechanical structures
TOPSIS: Finding Top-K significant N-itemsets in sliding windows adaptively
DI-NIDS: Domain invariant network intrusion detection system
Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection
VAOS: Enhancing the stability of cooperative multi-agent policy learning
Personalized Knowledge Distillation for Recommender System
Visual modeling and formal specification of constraints of RBAC using semantic web technology
Characterizing context-aware recommender systems: A systematic literature review
On rule interestingness measures
Fine-grained preference optimization with differentiated token weighting for LLM-based recommendations
Learning knowledge graph embeddings by deep relational roto-reflection
CLSESSP: Contrastive learning of sentence embedding with strong semantic prototypes
Network structural perturbation against interlayer link prediction
An analogy-oriented type hierarchy for linguistic creativity
Personalized recommendation by integrating a neural topic model and Bayesian personalized ranking
Time-interval temporal patterns can beat and explain the malware
Event Causality Identification via Competitive-Cooperative Cognition Networks
JISS: Joint image super-resolution and segmentation of magnetic resonance images via disentangled representation learning
GAR-Net: A Graph Attention Reasoning Network for conversation understanding
Collaborative learning based on centroid-distance-vector for wearable devices
Redundancy reduction based node classification with attribute augmentation
Recursive modal unification for reasoning with knowledge using a graph representation
Sparse representation of guided wave signals with differential norm penalty
Extracting finite structure from infinite language
Unsupervised non-parametric kernel learning algorithm
BitTableFI: An efficient mining frequent itemsets algorithm
Hyperparameter recommendation via automated meta-feature selection embedded with kernel group Lasso learning
A new weakly supervised strategy for surgical tool detection
Creative style transfer for image stylization via learning neural permutation
Conceptual models of drug-drug interactions: A summary of recent efforts
Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks
Document-level relation extraction using evidence reasoning on RST-GRAPH
Transferring Inter-Class Correlation for Teacher-Student frameworks with flexible models
Coarse-to-fine: A dual-view attention network for click-through rate prediction
The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method
Feature-reduction fuzzy co-clustering approach for hyper-spectral image analysis
Probability problems in knowledge acquisition for expert systems
Differential adaptation: An operational approach to adaptation for solving numerical problems with CBR
Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data
Detection and characterization of physiological states in bioprocesses based on Hölder exponent
A framework of global exploration and local exploitation using surrogates for expensive optimization
Texture synthesis quality assessment using perceptual texture similarity
Mutual information-driven self-supervised point cloud pre-training
Deep multi-granularity graph embedding for user identity linkage across social networks
Spatial interaction - modification model and applications to geo-demographic analysis
Figurative messages and affect in Twitter: Differences between #irony, #sarcasm and #not
Uncovering overlapping community structure in static and dynamic networks
Lightweight quantum-resistant image transmission based on compressive sensing
Stand-in Model Protection: Synthetic defense for membership inference and model inversion attacks
Ontology-based approach for the validation and conformance testing of xAPI events
HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning
Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization
RGBT tracking based on prior least absolute shrinkage and selection operator and quality aware fusion of deep and handcrafted features
Dynamic concept-aware network for few-shot learning
OSTOD: One-Step Task-Oriented Dialogue with activated state and retelling response
MAXFormer: Enhanced transformer for medical image segmentation with multi-attention and multi-scale features fusion
TreeC: A method to generate interpretable energy management systems using a metaheuristic algorithm
Dissimilarity-constrained node attribute coverage diversification for novelty-enhanced top- k search in large attributed networks
DKS: A GNN-based method for keyword search on dirty graphs
Deep-attack over the deep reinforcement learning
Inter-class Separable Anchor Concept Factorization on Bipartite Graph
A study about the future evaluation of Question-Answering systems
Cross-modal feature alignment and fusion with contrastive learning in multimodal recommendation
A new indirect transfer fault diagnosis method based on feature separation
Multi-linear interactive matrix factorization
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance
Quality management in GPRS networks with fuzzy case-based reasoning
Advanced computational modeling of malaria using artificial neural networks and stochastic solvers
Computational models and optimal control strategies for emotion contagion in the human population in emergencies
Misunderstanding and the negotiation of meaning using abduction
A novel trust management framework for multi-cloud environments based on trust service providers
A PLS-based pruning algorithm for simplified long-short term memory neural network in time series prediction
RDAM: Domain adaptation under small and class-imbalanced samples
Generative Denoise Distillation: Simple stochastic noises induce efficient knowledge transfer for dense prediction
Deep recurrent neural network for geographical entities disambiguation on social media data
Mining corporate annual reports for intelligent detection of financial statement fraud - A comparative study of machine learning methods
Implementation of meronymic (part-whole) inheritance for semantic networks
Two-level pattern recognition in a class of knowledge-based systems
CORTEX: Cost-sensitive rule and tree extraction method
Overlapping object detection with adaptive Gaussian sample division and asymmetric weighted loss
Enhancements of rule-based models through refinements of Fuzzy C-Means
Solving combinatorial optimization problems with single seekers society algorithm
Topic oriented community detection through social objects and link analysis in social networks
A knowledge-learning-and-transfer-aided differential evolution for nonlinear equation systems
UMAP-SMOTENC: A simple, efficient, and consistent alternative for privacy-aware synthetic data generation
A semantic similarity-based perspective of affect lexicons for sentiment analysis
MGR: An information theory based hierarchical divisive clustering algorithm for categorical data
Two-stage network DEA with shared resources: Illustrating the drawbacks and measuring the overall efficiency
An intelligent metaphor-free spatial information sampling algorithm for balancing exploitation and exploration
A data mining approach to the prediction of corporate failure
Audio classification using attention-augmented convolutional neural network
Sentiment classification with word localization based on weakly supervised learning with a convolutional neural network
Robust twin support vector regression via second-order cone programming
A deep learning based framework for diagnosis of mild cognitive impairment
Forecasting when to forecast: Accelerating diffusion models with confidence-gated taylor
Knowledge-guided distribution alignment for cross-domain few-shot learning
MLNet: An multi-scale line detector and descriptor network for 3D reconstruction
DMAM: Difficulty-enhanced multi-view attention-based model for knowledge tracing
Coupled Global-Local object detection for large VHR aerial images
Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images
KAiPP: An interaction recommendation approach for knowledge aided intelligent process planning with reinforcement learning
Legacy system program transformation by Lyee methodology
A discussion on interpretability of linguistic rule based systems and its application to solve regression problems
DMFP: Dynamic multiscale feature perturbations for transferable adversarial attacks
Multi-view attribute reduction model for traffic bottleneck analysis
Parallel computing of approximations in dominance-based rough sets approach
Multi-expert learning for fusion of pedestrian detection bounding box
Estimating the importance of consumer purchasing criteria in digital ecosystems
Coordinated path planning for autonomous ground vehicles in off-Road environments with 3D rigid terrain and obstacles
Enhancing cross-encoders using knowledge graph hierarchy for medical entity linking in zero- and few-shot scenarios
CANN: An intrusion detection system based on combining cluster centers and nearest neighbors
Dynamic early-warning model of dam deformation based on deep learning and fusion of spatiotemporal features
SASE: Self-Adaptive noise distribution network for Speech Enhancement with Federated Learning using heterogeneous data
Dynamic optimization of fuzzy cognitive maps for time series forecasting
Fixed effects panel interval-valued data models and applications
Anomaly detection method of surveillance video based on global-local information
Semantic Web search based on rough sets and Fuzzy Formal Concept Analysis
DFNet: Decomposition fusion model for long sequence time-series forecasting
An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system
Hybrid-relation dynamic hypergraph attention network for traffic flow prediction
A knowledge-based multi-agent evolutionary algorithm for semiconductor final testing scheduling problem
Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles
Deadly triad matters for offline reinforcement learning
Learning Multiple Criteria Calibration for Generalized Zero-shot Learning
Look back, look around: A systematic analysis of effective predictors for new outlinks in focused Web crawling
Random walk based rank aggregation to improving web search
Bilingual embeddings with random walks over multilingual wordnets
Weakly-supervised entity matching via LLM-guided data augmentation and knowledge transfer
Unsupervised multilingual machine translation with pretrained cross-lingual encoders
Automatic Text Summarization Method Based on Improved TextRank Algorithm and K-Means Clustering
Privacy-preserving indoor localization based on inner product encryption in a cloud environment
Multi-modal graph context extraction and consensus-aware learning for emotion recognition in conversation
Sketch-then-Edit Generative Adversarial Network
Multi-kernel multi-criteria optimization classifier with fuzzification and penalty factors for predicting biological activity
Biomedical-domain pre-trained language model for extractive summarization
Relevant emotion ranking with topic-enhanced emotion transition
Graph-based predictable deep transfer network for soft sensing of dynamic industrial processes
Complete tolerance relation based parallel filling for incomplete energy big data
Unsupervised feature selection based on the Morisita estimator of intrinsic dimension
A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles
Towards adequate prediction of prediabetes using spatiotemporal ECG and EEG feature analysis and weight-based multi-model approach
A novel dictionary attack on ECG authentication system using adversarial optimization and clustering
Heterogeneous modal collaborative training network for human action recognition
Beta distribution-based monogamous pairs genetic algorithm for knowledge transfer in many-task optimization
Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein-protein interaction
GSAM: A simple and General Stereo Alignment Module for multi-view document clustering
UDG-Prom: A unified dense-guided semantic prompting for cross-domain few-shot image segmentation
A two-phase knowledge based hyper-heuristic scheduling algorithm in cellular system
STB-VMM: Swin Transformer based Video Motion Magnification
Association Rules Enhanced Knowledge Graph Attention Network
EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network
Event extraction as machine reading comprehension with question-context bridging
Federated causal structure learning with missing data
Botfip-LLM: An enhanced multimodal scientific computing framework leveraging knowledge distillation from large language models
Measuring inconsistency and deriving priorities from fuzzy pairwise comparison matrices using the knowledge-based consistency index
Graph knowledge tracing in cognitive situation: Validation of classic assertions in cognitive psychology
Adversarial multimodal user-generated contents generation for anti-user identity linkage
Forecasting in FOREX the spot price interval of tomorrow with the same information of today. An analysis of the seven majors using a linear regression model based on interval arithmetic
Weighted automata sequence kernel: Unification and generalization
TSH-FCNet: Triple-source heterogeneous remote sensing images fusion classification network based on feature propagation and perception
A Dynamic Parameter Enhanced Network for distant supervised relation extraction
Four-bar linkage path generation through self-adaptive population size teaching-learning based optimization
Framework for modeling and analysis of distributed problem-solving systems
Framework for knowledge based support in a concurrent engineering environment
Dynamic domain adaptive ensemble for intelligent fault diagnosis of machinery
Density based semi-automatic labeling on multi-feature representations for ground truth generation: Application to handwritten character recognition
Multi-granularity Association Learning for On-the-fly Fine-grained Sketch-based Image Retrieval
Pyramidal structure-correlated refinement for robust face alignment
Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue
Identification of glioblastoma molecular subtype and prognosis based on deep MRI features
Neural population dynamics optimization algorithm: A novel brain-inspired meta-heuristic method
Tensor schatten-p norm guided incomplete multi-view self-representation clustering
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets
Software defect prediction based on correlation weighted class association rule mining
Gradient rectified parameter unit of the fully connected layer in convolutional neural networks
XAI for myo-controlled prosthesis: Explaining EMG data for hand gesture classification
Prompted representation joint contrastive learning for aspect-based sentiment analysis
Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems
Global semantic-guided network for saliency prediction
Mamba based adaptive conformal inference for probabilistic short-term load forecasting
Safe sample screening for regularized multi-task learning
A dynamic adaptive iterative clustered federated learning scheme
Chaotic marine predators algorithm for global optimization of real-world engineering problems
A new contrastive learning framework for reducing the effect of hard negatives
Enhanced evolutionary algorithms for single and multiobjective optimization in the job shop scheduling problem
μ-SATPLAN: Multi-agent planning as satisfiability
Evolutionary and adaptive inheritance enhanced Grey Wolf Optimization algorithm for binary domains
Representations aligned counterfactual domain learning for open-set fault diagnosis under speed transient conditions
Multiple sparse graphs condensation
Adaptive multi-source data fusion vessel trajectory prediction model for intelligent maritime traffic
Dual constraints and adversarial learning for fair recommenders
Dual class representation learning for few-shot image classification
Scalable tri-factorization guided multi-view subspace clustering
Optimizing co-existing multicast routing trees in IP network via discrete artificial fish school algorithm
An application of fuzzy-logic and grey-relational ANP-based SWOT in the ceramic and tile industry
An efficient multi-label learning method with label projection
Granule description based on formal concept analysis
Interval-valued fuzzy set approach to fuzzy co-clustering for data classification
An automated text categorization framework based on hyperparameter optimization
Predictability of diffusion-based recommender systems
Swarm intelligence, social force and multi-agent modeling of heroic altruism behaviors under collective risks
Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series
A non-homogeneous beat-based harmony Markov model
A financial ticket image intelligent recognition system based on deep learning
An adaptive hybrid mutated differential evolution feature selection method for low and high-dimensional medical datasets
Partial multi-label learning via K-means graph transformer
CRATI: Contrastive representation-based multimodal sound event localization and detection
Sequential funding the venture project or not? A prospect consensus process with probabilistic hesitant fuzzy preference information
Success history based adaptive multi-objective differential evolution variants with an interval scheme for solving simultaneous topology, shape and sizing truss reliability optimisation
Multidimensional robustness analysis for optimizing complex systems
A complete pattern recognition approach under Atanassov's intuitionistic fuzzy sets
Balanced self-distillation for long-tailed recognition
Memetic search for the equitable coloring problem
Ensemble of ML-KNN for classification algorithm recommendation