yusuke1997/dblp-id-title huggingface dataset:
FDGC: Fuzzy deep clustering with dual-granularity contrastive learning
Graph-enhanced and collaborative attention networks for session-based recommendation
Fuzzy cognitive maps in the modeling of granular time series
Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications
Rough sets in distributed decision information systems
ConvTransformer Attention Network for temporal action detection
Optimizing a bi-objective reliable facility location problem with adapted stochastic measures using tuned-parameter multi-objective algorithms
An improved feature selection algorithm based on graph clustering and ant colony optimization
MELON: Hierarchical multi-agent trajectory prediction with spatio-temporal uncertainty adaptation
A novel intuitive GUI method for user-friendly operation
Graph-based cognitive diagnosis for intelligent tutoring systems
Parallel structure of crayfish optimization with arithmetic optimization for classifying the friction behaviour of Ti-6Al-4V alloy for complex machinery applications
Special issue: Intelligent user interfaces
Fuzzy semi-supervised weighted linear loss twin support vector clustering
Generalization error for portable rewards in transfer imitation learning
A data envelopment analysis (DEA)-based method for rule reduction in extended belief-rule-based systems
MTJNet: Multi-task joint learning network for advancing medicinal plant and leaf classification
EC-Net: General image tampering localization network based on edge distribution guidance and contrastive learning
Digital Twin-assisted Blockchain-inspired irregular event analysis for eldercare
Deriving heterogeneous experts weights from incomplete linguistic preference relations based on uninorm consistency
Knowledge-based environment to support product design validation
An innovative multi-view collaborative optimization framework for Weighted Naive Bayes
Support vector machines of interval-based features for time series classification
Citywide traffic speed prediction: A geometric deep learning approach
Adaptive self-organized maps based on bidirectional approximate reasoning and its applications to information filtering
An ensemble filter-based heuristic approach for cancerous gene expression classification
An energy-aware resource deployment algorithm for cloud data centers based on dynamic hybrid machine learning
A constrained optimization approach for cross-domain emotion distribution learning
Proximity-based group formation game model for community detection in social network
Representing instructional design methods using ontologies and rules
A new cluster validity measure based on general type-2 fuzzy sets: Application in gene expression data clustering
SMOTE based class-specific extreme learning machine for imbalanced learning
Microblogging as a mechanism for human-robot interaction
LRA-UNet: Large receptive-field attention-enhanced U-Net for breast lesion segmentation in ultrasound images
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes
CLAD: Robust audio deepfake detection against manipulation attacks with contrastive learning
Constructing conjunctions using systematic search on decision trees
Bi-Interfusion: A bidirectional cross-fusion framework with semantic-guided transformers in LiDAR-camera fusion
MAGE-fend: Multimodal adaptive fusion with guidance from LLM expertise for fake news detection on short video platforms
Differentiating Crohn's disease from intestinal tuberculosis using a fusion correlation neural network
Automatic repetition instruction generation for air traffic control training using multi-task learning with an improved copy network
DyCR-Net: A dynamic context-aware routing network for multi-modal sarcasm detection in conversation
Path-specific knowledge graph embedding
A new classification algorithm recommendation method based on link prediction
Multi-generator GAN learning disconnected manifolds with mutual information
A local-gravitation-based method for the detection of outliers and boundary points
Semantic-based topic representation using frequent semantic patterns
The meta-inferences engine: A new tool to manipulate metaknowledge
Quadratic Optimization based Clique Expansion for overlapping community detection
Robust block tensor PCA with F-norm projection framework
Global-local prototype-based few-shot learning for cross-domain hyperspectral image classification
Pragmatic degradation learning for scene text image super-resolution with data-training strategy
TracKGE: Transformer with Relation-pattern Adaptive Contrastive Learning for Knowledge Graph Embedding
On the importance of sluggish state memory for learning long term dependency
A unified embedding-based relation completion framework for knowledge graph
Multi-view Embedding with Adaptive Shared Output and Similarity for unsupervised feature selection
LSTM based decision support system for swing trading in stock market
UMDA-DDSTGN: An unsupervised meta-domain adaptation method using dynamic directed spatial-temporal graph network for EEG-based emotion recognition
Robust clustering by identifying the veins of clusters based on kernel density estimation
Reuse of designs
MESN: A multimodal knowledge graph embedding framework with expert fusion and relational attention
Optimal strategies to perform multilingual analysis of social content for a novel dataset in the tourism domain
Query-efficient and dataset-independent red teaming for LLMs content safety evaluation
Evolutionary ORB-based model with protective closing strategies
Self-adaptive semantic web service matching method
ADR-Net: Attention-oriented detail recovery network for document image shadow removal
Alignment-consistent recursive neural networks for bilingual phrase embeddings
Identifying the semantic orientation of terms using S-HAL for sentiment analysis
Erratum to "An integrated expert system/operations research approach for the optimization of waste incinerator siting problems" [Knowledge-Based Systems 18 (2005) 267-278]
Efficient frequent pattern mining based on Linear Prefix tree
Coupling hyperspectral imaging and deep learning to detect bloom-forming toxic cyanobacteria in mixed assemblages
Truth finding by reliability estimation on inconsistent entities for heterogeneous data sets
Intelligent data analysis for conservation: experiments with rhino horn fingerprint identification
Provably bounded prompting prior network for universal compressed sensing magnetic resonance imaging
Continual relation extraction via linear mode connectivity and interval cross training
DWWP: Domain-specific new words detection and word propagation system for sentiment analysis in the tourism domain
Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods
An evolutionary multitasking method for positive and unlabeled learning
Decoupled pedestrian trajectory prediction network with near-Aware attention
Automatic induction of rules for text simplification
Natural generative noise diffusion model imputation
An effective collaboration evolutionary algorithm for multi-robot task allocation and scheduling in a smart farm
Evolutionary neural architecture search based on evaluation correction and functional units
Supporting unknown number of users in keystroke dynamics models
Robust Visual Question Answering utilizing Bias Instances and Label Imbalance
MiFI-Outlier: Minimal infrequent itemset-based outlier detection approach on uncertain data stream
Multiple Boosting in the Ant Colony Decision Forest meta-classifier
Exploiting global context and external knowledge for distantly supervised relation extraction
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution
Using neural networks as a tool for constructing rule based systems
CCGIR: Information retrieval-based code comment generation method for smart contracts
Learnable convolutional attention network for knowledge graph completion
Incremental entropy-based clustering on categorical data streams with concept drift
QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity
Multiview learning with variational mixtures of Gaussian processes
Explainable machine learning in image classification models: An uncertainty quantification perspective
Endo-HDR: Dynamic endoscopic reconstruction with deformable 3D Gaussians and hierarchical depth regularization
Unsupervised domain adaptation for person re-identification with iterative soft clustering
Spatio-temporal meta-learning for trajectory representation learning
MDR: Memory distillation and reproduction for personalized dialogue generation
Automatic instance selection via locality constrained sparse representation for missing value estimation
A Clean-Label Graph Backdoor Attack Method in Node Classification Task
Validating Siamese embedded neural networks with identical representations for efficient model convergence
A novel self-supervised representation learning framework based on time-frequency alignment and interaction for mechanical fault diagnosis
Research on domain ontology in different granulations based on concept lattice
A novel outlier cluster detection algorithm without top-n parameter
Decomposition-based multi-objective optimization approach for PPI network alignment
Discovering pattern-based subspace clusters by pattern tree
Attitude based teams in a hostile dynamic world
Expert systems for planning and controlling physical networks in the water industry
Intelligent facial emotion recognition using moth-firefly optimization
Graphical norms via conceptual graphs
A new approach of clustering based machine-learning algorithm
Analytical and knowledge based approaches for a bioprocess supervision
Incremental fuzzy cluster ensemble learning based on rough set theory
RISE: Semantics-guided discriminative and robust learning for unsupervised cross-modal hashing
A dual-channel network for cross-domain one-shot semantic segmentation via adversarial learning
XT Domineering: A new combinatorial game
Reinforcement and opposition-based learning enhanced weighted mean of vectors algorithm for global optimization and feature selection
Advanced detection and classification of bot attacks through multi-model ensemble learning for enhanced security in smart network infrastructures
MLC-DKT: A multi-layer context-aware deep knowledge tracing model
Graph kernels based on optimal node assignment
Layered fractal neural net: computational performance as a classifier
Lightweight image super-resolution network with adaptive token selection and feature enhancement
Coarse-to-fine dual-level attention for video-text cross modal retrieval
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification
Parallel multi-objective evolutionary optimization based dynamic community detection in software ecosystem
Multi-view entity type overdependency reduction for event argument extraction
Progressive Confident Masking Attention Network for Audio-Visual Segmentation
PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews
Vision-language representation learning with breadth and depth attention pre-training
Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives
Integrating neural networks and logistic regression to underpin hyper-heuristic search
A new relational Tri-training system with adaptive data editing for inductive logic programming
Augmented visual feature modeling for matching in low-visibility based on cycle-labeling of Superpixel Flow
Sweet Apple, company? or food? Adjective-centric commonsense knowledge acquisition with taxonomy-guided induction
HEPI: High-reward experience-assisted policy iteration in deep reinforcement learning
Authorship identification from unstructured texts
Order-flexible graph attention network for multi-view subspace clustering
Using object and trajectory analysis to facilitate indexing and retrieval of video
Effective and unburdensome forecast of highway traffic flow with adaptive computing
Source-Free Unsupervised Domain Adaptation through Trust-Guided Partitioning and Worst-Case Aligning
Evolutionary multitasking network reconstruction from time series with online parameter estimation
Unsupervised feature selection via maximum projection and minimum redundancy
Aspect-based sentimental analysis using optimized multi-layered deep BiLSTM classifier
Representing and processing fuzzy information - an XML-based approach
Noise filtering to improve data and model quality for crowdsourcing
Enhancing variable neighborhood search by adding memory: Application to a real logistic problem
Multi-scale Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for unsupervised intrusion detection
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models
Lite-FPN for keypoint-based monocular 3D object detection
Recent advances and emerging challenges of feature selection in the context of big data
A Contribution-Aware Noise Feature representation model for image manipulation localization
Toward efficient digital twin simulation: A causal representation learning approach
Cascaded Cross-modal Alignment for Visible-Infrared Person Re-Identification
Learning to detect community smells in open source software projects
An enhanced spatio-temporal constraints network for anomaly detection in multivariate time series
Neural network and GA approaches for dwelling fire occurrence prediction
Disentangled representation learning for collaborative filtering based on hyperbolic geometry
Network motifs: A key variable in the equation of dynamic flow between macro and micro layers in Complex Networks
Auto-learning communication reinforcement learning for multi-intersection traffic light control
A priori-guided multi-layer rain-aware network for single image deraining
A Series-based group stock portfolio optimization approach using the grouping genetic algorithm with symbolic aggregate Approximations
Predicting protein structural classes for low-similarity sequences by evaluating different features
SoFTNet: A concept-controlled deep learning architecture for interpretable image classification
Cumulative belief degrees approach for analyzing the competitiveness of the automotive industry
Multi-behavior purchase prediction via graph convolutional networks on implicit bipartite graph relationships
Supervised term-category feature weighting for improved text classification
Dual space multi-granular model for multi-interest sequential recommendation
Reasoning by coordination: an integration of case-based and rule-based reasoning systems
DATA: Dynamic Adversarial Thermal Anti-distillation
DiFusionSeg: Diffusion-driven semantic segmentation with multi-modal image fusion for enhanced perception
A tree structure for event-based sequence mining
Domain knowledge-based security bug reports prediction
Asset-return momentum prediction through pattern recognition
An adaptive artificial bee colony algorithm enhanced by Deep Q-Learning for milk-run vehicle scheduling problem based on supply hub
HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning
Boosting unsupervised domain adaptation: A Fourier approach
Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition
IReGNN: Implicit review-enhanced graph neural network for explainable recommendation
Multi-modality integrated class incremental learning networks for 3D object recognition
Mutual information maximization for semi-supervised anomaly detection
Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations
MOTEO: A novel physics-based multiobjective thermal exchange optimization algorithm to design truss structures
Binary-class concrete surface crack detection using a transfer learning model
Hybrid intelligent control scheme of a polymerization kettle for ACR production
MGCN: Mamba-integrated spatiotemporal graph convolutional network for long-term traffic forecasting
Detecting life events from twitter based on temporal semantic features
Churn and Net Promoter Score forecasting for business decision-making through a new stepwise regression methodology
MMSeg: A novel multi-task learning framework for class imbalance and label scarcity in medical image segmentation
Unified attacks to large language model watermarks: Spoofing and scrubbing in unauthorized knowledge distillation
Top-k star queries on knowledge graphs through semantic-aware bounding match scores
Improved dynamic time warping for fire safety emergency response: A robust and interpretable extension
Some intuitionistic fuzzy Einstein hybrid aggregation operators and their application to multiple attribute decision making
Confirmation measures of association rule interestingness
Retinopathy identification in optical coherence tomography images based on a novel class-aware contrastive learning approach
Balancing coverage and specificity for semantic labelling of subject columns
MDM: Meta diffusion model for hard-constrained text generation
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis
SiET: Spatial information enhanced transformer for multivariate time series anomaly detection
Feature space theory - a mathematical foundation for data mining
Single-image deraining via a Recurrent Memory Unit Network
Feasibility study and impact assessment for a knowledge-based information-technology planning system
Attention mechanism and discrepancy metric based conditional adversarial network
A recommender system for component-based applications using machine learning techniques
The application of knowledge-based techniques to the monitoring of computers in a large heterogeneous distributed environment
Tensor optimization with group lasso for multi-agent predictive state representation
Defining and detecting k-bridges in a social network: The Yelp case, and more
Artificial intelligence-driven biomedical genomics
Soft large margin clustering for unsupervised domain adaptation
Kernel multi-attention neural network for knowledge graph embedding
Incremental concept cognitive learning based on three-way partial order structure
APER: AdaPtive Evidence-driven Reasoning Network for machine reading comprehension with unanswerable questions
Robust collaborative filtering based on non-negative matrix factorization and R 1 -norm
Feature selection in high dimensional data: A specific preordonnances-based memetic algorithm
Ant colony heuristic for user-contributed comments summarization
Geo-uninorm consistency control module for preference similarity network hierarchical clustering based consensus model
Approximate information retrieval based on multielement bounds
P-CNN: Enhancing text matching with positional convolutional neural network
MDF-FND: A dynamic fusion model for multimodal fake news detection
HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network
SigCo: Eliminate the inter-class competition via sigmoid for learning with noisy labels
LoRP: LLM-based Logical Reasoning via Prolog
Compositional approaches for representing relations between words: A comparative study
A level-set method with a multiplicative-additive constraint model for image segmentation and bias correction
ZERO-PDE: Zero-shot joint denoising and enhancement for infrared polarization images
An adaptive sampling framework for data-efficient modelling of marine antibiotic-resistance genes (ARGs)
An improved heuristic mechanism ant colony optimization algorithm for solving path planning
A cross-architecture masked contrastive learning framework for few-shot underwater acoustic target classification
Adaptive Power Iteration Clustering
Understanding and defending against White-box membership inference attack in deep learning
A resource limited artificial immune system for data analysis
Towards a collective opinion generation approach with multiple objectives for evaluating rail transit station accessibility in urban areas
RTRL: Relation-aware Transformer with Reinforcement Learning for Deep Question Generation
TrustTF: A tensor factorization model using user trust and implicit feedback for context-aware recommender systems
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
Graph-Driven deep Multi-View Clustering with self-paced learning
Multi-branch evolutionary generative adversarial networks based on covariance crossover operators
TCLNet: Turn-level contrastive learning network with reranking for dialogue state tracking
Normality learning reinforcement for anomaly detection in surveillance videos
Running rule-based expert systems on parallel processors
Discovering generalized clusters with adaptive mixture density-based clustering
TransNet: A transfer-augmented domain adaptation model for cross-domain water quality index prediction in data-scarce scenarios
A tree-based incremental overlapping clustering method using the three-way decision theory
Efficient text document clustering approach using multi-search Arithmetic Optimization Algorithm
A UAV to UAV tracking benchmark
A fuzzy expected value approach under generalized data envelopment analysis
Disentangled Sparse Graph Attention Networks with Multi-Intent Fusion for Session-based Recommendation
A novel structural damage detection method using a hybrid IDE-BP model
Augmented fuzzy cognitive maps for modelling LMS critical success factors
An attention mechanism and residual network based knowledge graph-enhanced recommender system
Analysis of the multi-objective release plan rescheduling problem
A temporal consistency method for online review ranking
Predicting information diffusion probabilities in social networks: A Bayesian networks based approach
An effective E-voting enhancement system through multi secret image sharing security system
Publication classification prediction via citation attention fusion based on dynamic relations
Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification
Dual teacher-student based separation mechanism for open set domain adaptation
Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data
TA-EnVODT: A cloud-edge integrated temporal-aware ensemble for real-time video object detection and tracking using knowledge projection
Single document summarization using the information from documents with the same topic
Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation
Ambiguity-Aware and High-order Relation learning for multi-grained image-text matching
Joint development of AI software environment
A unified data-driven approach under deep reinforcement learning with direct control responses for microgrid operations
A sub-block-based eigenphases algorithm with optimum sub-block size
Fuzzy evidential influence diagram and its evaluation algorithm
Freedom of choice disrupts cyclic dominance but maintains cooperation in voluntary prisoner's dilemma game
Learning automata-accelerated greedy algorithms for stochastic submodular maximization
Predicting the effects of suspenseful outcome for automatic storytelling
KAD-Net: Kolmogorov-Arnold and differential-aware networks for robust and sensitive proactive deepfake forensics
User-agnostic adaptation of human locomotion intent: Leveraging Teacher-Student-Learning and ensemble modeling
Deep spectral clustering by integrating local structure and prior information
Efficient mining of concept-hierarchy aware distinguishing sequential patterns
Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction
Special issue on "New Trends in Data Mining" NTDM
Conversational semantic parsing over tables by decoupling and grouping actions
A data hiding scheme based on U-Net and wavelet transform
Human endocrine system modeling based on ontologies