yusuke1997/dblp-id-title huggingface dataset:
Mining application-aware community organization with expanded feature subspaces from concerned attributes in social networks
Two-stage supervised ranking for emotion cause extraction
A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms
Evaluation of analogical proportions through Kolmogorov complexity
Collaborative annealing power k-means++ clustering
Argument-based learning communities
Development of a knowledge-based design support system
A domain adaptation approach for resume classification using graph attention networks and natural language processing
A cross-domain transfer learning model for author name disambiguation on heterogeneous graph with pretrained language model
Erratum to "Efficiently planning coherent visual discourse" [Knowledge-Based Systems 10 (1998) 275-286]
A filter model for intrusion detection system in Vehicle Ad Hoc Networks: A hidden Markov methodology
Toward profundity and precision: Reinventing knowledge retrieval capabilities guided by human cognition
Auto-weighted collective matrix factorization with graph dual regularization for multi-view clustering
Fast neighborhood reconstruction with adaptive weights learning
A new method for point cloud registration: Adaptive relation-oriented convolution and recurrent correspondence-walk
Attribute reduction in fuzzy concept lattices based on the T implication
Fuzzy analytic hierarchy process with interval type-2 fuzzy sets
Automatic update strategy for real-time discovery of hidden customer intents in chatbot systems
An ensemble design of intrusion detection system for handling uncertainty using Neutrosophic Logic Classifier
Robust stock trend prediction via volatility detection and hierarchical multi-relational hypergraph attention
Mitigating imbalances in heterogeneous feature fusion for multi-class 6D pose estimation
A coarsening method for bipartite networks via weight-constrained label propagation
An explainable hybrid fuzzy-machine learning framework for multi-crop suitability classification using agro-environmental data
Output-based transfer learning in genetic programming for document classification
Hybrid method for the analysis of time series gene expression data
Hierarchical dual graph convolutional network for aspect-based sentiment analysis
To be global or personalized: Generalized federated learning with cooperative adaptation for data heterogeneity
Multi-query frequency prompting for physiological signal domain adaptation
A comprehensive active learning method for multiclass imbalanced data streams with concept drift
Single-input interpretation of a deep classification neural network
Transition-based semantic role labeling with pointer networks
Image rain removal and illumination enhancement done in one go
Efficient text chunking using linear kernel with masked method
Modeling group-level public sentiment in social networks through topic and role enhancement
A Metadatabase-supported shell for distributed processing and systems integration
Robust semi-supervised extreme learning machine
MAdaKron: A mixture-of-AdaKron adapters
Optimizing dyslexia intervention through an adaptive sequential recommender system
An intelligent zero-day attack detection system using unsupervised machine learning for enhancing cyber security
WaveState: A parallel selective state-space attention model with class-adaptive time-frequency features for multivariate time series classification
Long kernel distillation in human activity recognition
Distributed agent-based deep reinforcement learning for large scale traffic signal control
Balancing efficiency vs. effectiveness and providing missing label robustness in multi-label stream classification
Trust-based Friend Selection Algorithm for navigability in social Internet of Things
Reinforcement learning-driven dynamic obstacle avoidance for mobile robot trajectory tracking
k-CEVCLUS: Constrained evidential clustering of large dissimilarity data
Multi-objective optimization of the scheduling of a heat exchanger network under milk fouling
DECO 3 R: A Differential Evolution-based algorithm for generating compact Fuzzy Rule-based Classification Systems
Smooth Soft-Balance Discriminative Analysis for imbalanced data
On the interrelation between Dempster-Shafer Belief Structures and their Belief Cumulative Distribution Functions
Joint resource allocation and congestion-aware routing based on hybrid optimization in IoT
A Halton enhanced solution-based Human Evolutionary Algorithm for complex optimization and advanced feature selection problems
Generalized deep aerial Multi-view Stereo network based on gradient balance masked representation learning
Stochastic adaptive CL-BFGS algorithms for fully complex-valued dendritic neuron model
ADS-detector: An attention-based dual stream adversarial example detection method
Training fuzzy inference system-based classifiers with Krill Herd optimization
Self-supervised heterogeneous graph learning with iterative similarity distillation
Utility and occupancy driven pattern analysis for processing dynamic data streams in damped window control
What does the language system look like in pre-trained language models? A study using complex networks
Hierarchical full-attention neural architecture search based on search space compression
Assessment of affective state in distance learning based on image detection by using fuzzy fusion
Allocation of fresh water recourses in China with nested probabilistic-numerical linguistic information in multi-objective optimization
The optimal treatment alternatives selection of integrated TCM and Western medicine based on dynamic conflict group decision-making models
AutoEnergy: An automated feature engineering algorithm for energy consumption forecasting with AutoML
A new classifier for imbalanced data with iterative learning process and ensemble operating process
Guest Editorial: Big Social Data Analysis
Gaussian processes for missing value imputation
Cross-frequency aware network for camouflaged object detection with octave-transformer
MOEO-EED: A multi-objective equilibrium optimizer with exploration-exploitation​ dominance strategy
HEPM: High-efficiency pattern mining
Enhancing sparse triplet overlapping relation extraction using triaxial syntactic fusion approach
Binary Golden Eagle Optimizer with Time-Varying Flight Length for feature selection
Temporal constraint reasoning mechanisms for microprocessor systems diagnosis
A multi-view network for real-time emotion recognition in conversations
Differential Evolution for learning the classification method PROAFTN
Inductive Logic Programming : S Muggleton (Ed.)
A data mining approach based on machine learning techniques to classify biological sequences
Fuzzy sets and applications: selected papers by L A Zadeh, R R Yager, S Ovchinikov, R M Tong, H T Nguyen (eds) John Wiley and Sons Inc, £45.85, ISBN 0 471 85710 6, 684pp
Unified feature extraction framework based on contrastive learning
Research on the multi-source causal feature selection method based on multiple causal relevance
Hierarchical reinforcement learning for dynamic collision avoidance of autonomous ships under uncertain scenarios
FCAT: Federated causal adversarial training
A smart TV system with body-gesture control, tag-based rating and context-aware recommendation
Affective awareness in neural sentiment analysis
Goal-driven blackboard control architecture based on extending partially complete general goal trees
Mathematical programming methods for consistency and consensus in group decision making with intuitionistic fuzzy preference relations
An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions
Continual learning via inter-task synaptic mapping
A multimodal approach for improving market price estimation in online advertising
Continuous leakage-resilient certificateless public key encryption with CCA security
Weighted meta paths and networking embedding for patent technology trade recommendations among subjects
Discriminative deep asymmetric supervised hashing for cross-modal retrieval
SA-UCBSS: Sparsity-Based Adaptive Underdetermined Convolutive Blind Source Separation
SFD-ViT: Spatial-Frequency dual-Stream transformer with patch embedding for face forgery detection
Asymmetric slack contrastive learning for full use of feature information in image translation
Contrastive learning based on linguistic knowledge and adaptive augmentation for text classification
Enhancing experience reuse and learning
DMHC: Device-free multi-modal handwritten character recognition system with acoustic signal
Data-driven approach for selection of on-chain vs off-chain carbon credits data storage methods
Link prediction of time-evolving network based on node ranking
CKE-Former: A clinical knowledge-enhanced transformer for disease classification in telemedicine
Improving distributed anti-flocking algorithm for dynamic coverage of mobile wireless networks with obstacle avoidance
PM-ARNN: 2D-TO-3D reconstruction paradigm for microstructure of porous media via adversarial recurrent neural network
A flexible semantic inference methodology to reason about user preferences in knowledge-based recommender systems
Enhanced tensor low-rank representation for clustering and denoising
Learning document representation via topic-enhanced LSTM model
MoDeST: A dataset for Multi Domain Scientific Title Generation
A novel discrete firefly algorithm for Bayesian network structure learning
Dronetology: A domain ontology for UAS applications
Concept formation from design cases: why reusing experience and why not
On-line fast palmprint identification based on adaptive lifting wavelet scheme
SAW-GAN: Multi-granularity Text Fusion Generative Adversarial Networks for text-to-image generation
Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning
Diversity and consistency graph learning guided multi-view unsupervised feature selection
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images
LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks
Fully used reliable data and attention consistency for semi-supervised learning
Context-aware adaptive reinforcement learning for multi-hop knowledge graph reasoning in few-shot scenarios
A Pareto-based discrete particle swarm optimization for parallel casting workshop scheduling problem with fuzzy processing time
Joint Gaussian mixture model for versatile deep visual model explanation
Computational environments supporting creativity in the context of lifelong learning and design
A QFD-enabled product conceptualisation approach via design knowledge hierarchy and RCE neural network
Deep reinforcement learning based on transformer and U-Net framework for stock trading
Gamma distribution-based sampling for imbalanced data
Missing data imputation for traffic congestion data based on joint matrix factorization
Community aware random walk for network embedding
A hierarchical co-clustering approach for entity exploration over Linked Data
Joint sparse regularization based Sparse Semi-Supervised Extreme Learning Machine (S3ELM) for classification
Note on "Hesitant fuzzy prioritized operators and their application to multiple attribute decision making"
D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis
An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation
Existential rigidity and many modalities in order-sorted logic
Reusing JessTab rules in Protégé
Contrastive Transformer Network for Long Tail Classification
Building a Twitter opinion lexicon from automatically-annotated tweets
Attention Guided Filter and Refinement Feature Network for image semantic segmentation
Development and application of Quantum Entanglement inspired Particle Swarm Optimization
VAERHNN: Voting-averaged ensemble regression and hybrid neural network to investigate potent leads against colorectal cancer
Graph transformer network with temporal kernel attention for skeleton-based action recognition
Service skill improvement for home robots: Autonomous generation of action sequence based on reinforcement learning
Blockchain-based service recommendation and trust enhancement model
Continuous-time transformer with large language model for temporal knowledge graph forecasting
Establishment of rule dictionary for efficient XACML policy management
A rough set approach for selecting clustering attribute
An evolutionary framework for machine learning applied to medical data
Constructing three-way concept lattices based on apposition and subposition of formal contexts
Flexible job-shop scheduling via gated recurrent unit and deep reinforcement learning
On concept reduction based on some graph properties
A new method for image super-resolution with multi-channel constraints
Unification of probabilistic graph model and deep reinforcement learning (UPGMDRL) for multi-intersection traffic signal control
Specifying fault tolerance in mission critical intelligent systems
CATrack: Condition-aware multi-object tracking with temporally enhanced appearance features
A learning orientation detection system and its application to grayscale images
Automatic dominant character identification in fables based on verb analysis - Empirical study on the impact of anaphora resolution
Correlation concept-cognitive learning model for multi-label classification
Taylor's theorem: A new perspective for neural tensor networks
A hybrid model for rule discovery in data
Complex expressional characterizations learning based on block decomposition for temporal knowledge graph completion
A membrane algorithm based on chemical reaction optimization for many-objective optimization problems
Heterogeneous graph convolutional network with local influence
Reinforcement learning and collective cooperation on higher-order networks
Operating condition invariant representation learning for machine prognostics
FARM: An FCA-based Association Rule Miner
IS-GNN: Graph neural network enhanced by aggregating influential and structurally similar nodes
Towards semantic comparison of multi-granularity process traces
Incorporating geometry knowledge into an incremental learning structure for few-shot intent recognition
Cluster-based multicast optimized routing in VANETs using elite knowledge-based genetic algorithm
A class of bilinear matrix constraint optimization problem and its applications
Context-content collaborative network for building extraction from high-resolution imagery
Spatio-temporal graph hierarchical learning framework for metro passenger flow prediction across stations and lines
Learning Bird's Eye View scene graph and knowledge-inspired policy for embodied visual navigation
A new locally adaptive k-nearest neighbor algorithm based on discrimination class
KAGNN: Graph neural network with kernel alignment for heterogeneous graph learning
Differential evolution trained kernel principal component WNN and kernel binary quantile regression: Application to banking
An efficient grid-based path planning approach using improved artificial bee colony algorithm
Irregular message passing networks
Multi-granular unbalanced linguistic distribution assessments with interval symbolic proportions
Three-way decisions in ordered decision system
On the problem of recommendation for sensitive users and influential items: Simultaneously maintaining interest and diversity
Armchair missions to Mars: using case-based reasoning and fuzzy logic to simulate a time series model of astronaut crews
CRLMDG-LM: Causal representation learning-guided multi-target domain generalization network for fine-grained landslide mapping from high-resolution remote sensing images
Knowledge engineering issues in developing a case-based reasoning application
Metric learning for novel motion rejection in high-density myoelectric pattern recognition
Finite-time stabilization for semi-Markov reaction-diffusion memristive NNs: A boundary pinning control scheme
Semi-supervised stochastic blockmodel for structure analysis of signed networks
Fuzzy expert system approach for coronary artery disease screening using clinical parameters
Image compressed sensing: From deep learning to adaptive learning
Information systems development: a rule-based approach
GRL: Knowledge graph completion with GAN-based reinforcement learning
Towards multi-scale deep features learning with correlation metric for person re-identification
Towards data analysis for weather cloud computing
Unsupervised bin-wise pre-training: A fusion of information theory and hypergraph
Rule-preserved object compression in formal decision contexts using concept lattices
Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis
Text classification based on multi-word with support vector machine
A framework for context-aware heterogeneous group decision making in business processes
Random multi-scale kernel-based Bayesian distribution regression learning
A multi-objective multi-verse optimization algorithm for dynamic load dispatch problems
A fuzzy intelligent approach to the classification problem in gene expression data analysis
Concept development of consumer goods utilizing strategic knowledge
Railway accident causation prediction with improved transformer model based on lexical information and contextual relationships
Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures
K-Means-based isolation forest
Broadfusion: A novel two-stage multifocus image fusion approach with human visual system embedded broad learning system
Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses
TESC: An approach to TExt classification using Semi-supervised Clustering
IISD: Integrated Interaction Subgraph Detection for event mining
Deep maximum a posterior estimator for accelerated MRI reconstruction
TACSNet: Two-stage alignment cross-modal differential sensing network for concept prediction
Fine-grained visual tracking via distribution-aware mask modeling and temporal propagation
Class-homophilic-based data augmentation for improving graph neural networks
Few-shot nested named entity recognition
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection
Unsupervised feature selection with high-order similarity learning
Construction and exploitation of an historical knowledge graph to deal with the evolution of ontologies
Automated detection of kidney abnormalities using multi-feature fusion convolutional neural networks
Information-Theoretic Dual Memory System for continual learning
VC-Mamba: Causal Mamba representation consistency for video implicit understanding
Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems
A new ELECTRE-based method for group decision-making with complex spherical fuzzy information
Knowledge structures in a tolerance knowledge base and their uncertainty measures
RUST: Residual U-shaped transformer to approximate Taylor expansion for image denoising
SDGIN: Structure-aware dual-level graph interactive network with semantic roles for visual dialog
Virtual sensing techniques for nonlinear dynamic processes using weighted probability dynamic dual-latent variable model and its industrial applications
The aggregation of multiple three-way decision spaces
Surgical case scheduling problem with fuzzy surgery time: An advanced bi-objective ant system approach
Dimension reduction based on a penalized kernel support vector machine model
Misalignment-resistant domain adaptive learning for one-stage object detection
Thalamocortical burst gating enables event-locked memory
GraphCLIP: Image-graph contrastive learning for multimodal artwork classification
Structural abstraction for model-based diagnosis with a strong fault model
Continuous optimization for construction of neural network-based prediction intervals
Allocating time and location information to activity-travel patterns through reinforcement learning
ProgCoPL: Progressive co-prompt learning for vision-language models
Identifying topical influencers on twitter based on user behavior and network topology
Advancing low-light image enhancement through deep learning: A comprehensive experimental study
BGCL: Bi-subgraph network based on graph contrastive learning for cold-start QoS prediction
A programming-based algorithm for interval-valued intuitionistic fuzzy group decision making
Predicting confirmed cases of various epidemics using global temporal-feature-based graph convolutional network
Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments
Synthetic instance segmentation from semantic image segmentation masks
Evaluation of e-commerce websites: An integrated approach under a single-valued trapezoidal neutrosophic environment
Extracting useful knowledge from event logs: A frequent itemset mining approach
Semantically enhanced community detection in social networks: Integrating BERT with a comprehensive ontology and SWRL rules
Enhancing facial privacy protection in customized diffusion models via masked attention erasure
GAC: A deep reinforcement learning model toward user incentivization in unknown social networks
A knowledge-based problem solving method in GIS application
A novel human learning optimization algorithm with Bayesian inference learning
A new methodology for identifying unreliable sensors in data fusion
DnSwin: Toward real-world denoising via a continuous Wavelet Sliding Transformer
Heterophily-aware dynamic hypergraph for semi-supervised classification
Semi-supervised NPC segmentation with uncertainty and attention guided consistency
An extended formalism to constraint logic programming for decision analysis
SkeletonPose: Exploiting human skeleton constraint for 3D human pose estimation
Self-attention presents low-dimensional knowledge graph embeddings for link prediction
Knowledge augmented policy conflict analysis for services collaboration
MTF-Net: A mediator transformer-based fusion network with MOE for 6D object pose estimation
Scalable and explainable visually-aware recommender systems
Sparse and low-rank regularized deep subspace clustering
Soft set based association rule mining
Generating multidimensional clusters with support lines
DNMDR: Dynamic networks and multi-view drug representations for safe medication recommendation
Dynamic placement of multiple controllers based on SDN and allocation of computational resources based on heuristic ant colony algorithm
F3: Fair Federated Learning Framework with adaptive regularization
A graph convolutional network model based on regular equivalence for identifying influential nodes in complex networks
MIA-Net: Multi-information aggregation network combining transformers and convolutional feature learning for polyp segmentation
Extensible organization of property descriptions in object modelling for engineering design
A two-stage multi-view partial multi-label learning for enhanced disambiguation
An application of supervised and unsupervised learning approaches to telecommunications fraud detection
Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information
A variable precision rough set model based on the granularity of tolerance relation
An adaptive memetic algorithm for the bidirectional loop layout problem
Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis
A non-local sparse unmixing based hyperspectral change detection with unsupervised deep clustering
Robust energy preserving embedding for multi-view subspace clustering
Towards multi-clause automated deduction and theorem generation: Constructing and applying standard contradictions
Cluster-based Dual-branch Contrastive Learning for unsupervised domain adaptation person re-identification
HeteroGraphRec: A heterogeneous graph-based neural networks for social recommendations
Enhancing polyp characterization in colon capsule endoscopy using ResNet9-KAN