yusuke1997/dblp-id-title huggingface dataset:
A new trapezoidal fuzzy linear programming method considering the acceptance degree of fuzzy constraints violated
A survey of serendipity in recommender systems
TCRM: diagnosing tuple inconsistency for granulized datasets
Impact of individual difference and investment heterogeneity on the collective cooperation in the spatial public goods game
WMC-Net: Wavelet-enhanced mamba with contextual fusion network for medical image segmentation
Debiased prototype network with relaxed contrastive distillation strategy for rotating machinery few-shot domain incremental fault diagnosis
An accurate infrared hand geometry and vein pattern based authentication system
Profiling effects of filtering noise labels on learning performance
A non-parameter outlier detection algorithm based on Natural Neighbor
Consensus building in group decision making based on multiplicative consistency with incomplete reciprocal preference relations
Discrete Artificial Algae Algorithm for solving Job-Shop Scheduling Problems
A novel network with multiple attention mechanisms for aspect-level sentiment analysis
Camera-aware Embedding Refinement for unsupervised person re-identification
Dynamic route planning with uncertain information
Leveraging multimodal information for event summarization and concept-level sentiment analysis
Predicting emotions in facial expressions from the annotations in naturally occurring first encounters
Kernel sparse modeling for prototype selection
Unsupervised feature selection via transformed auto-encoder
MACS: Multi-Agent COTR System for defense contracting
CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning
A recommender system of reviewers and experts in reviewing problems
An objective metric for Explainable AI: How and why to estimate the degree of explainability
Towards cognition-driven 3D object detection: A LiDAR-based framework
Emotion-and-knowledge grounded response generation in an open-domain dialogue setting
Data analysis approaches of soft sets under incomplete information
Domain adaptation network based on multi-level feature alignment constraints for cross scene hyperspectral image classification
Flexible job shop scheduling via deep reinforcement learning with meta-path-based heterogeneous graph neural network
Supporting the acquisition and modeling of requirements in software design
A machine reading comprehension framework for recognizing emotion cause in conversations
Enhancing named entity recognition with external knowledge from large language model
Dealing with inconsistent secure messages by weighting majority
Random compact Gaussian kernel: Application to ELM classification and regression
DSDCLNet: Dual-stream encoder and dual-level contrastive learning network for supervised multivariate time series classification
Disentangled and reassociated deep representation for dynamic survival analysis with competing risks
Performance-driven adaptive differential evolution with neighborhood topology for numerical optimization
Low-rank representation with adaptive dictionary learning for subspace clustering
TFGAN: Traffic forecasting using generative adversarial network with multi-graph convolutional network
A novel virtual sample generation method based on Gaussian distribution
Decision support for in-operation monitoring of the WEST tokamak first wall using multimodal large language model (LLM) on infrared imaging
A hybrid approach to the sentiment analysis problem at the sentence level
A two-stage graph spatiotemporal model with domain-class alignment for fault diagnosis under multi-source long-tailed distributions
Learning to extract and aggregate contexts for link prediction in heterogeneous graphs
Transformer-based Dynamic Fusion Clustering Network
Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs
Interrelation analysis of celestial spectra data using constrained frequent pattern trees
Consecutive knowledge meta-adaptation learning for unsupervised medical diagnosis
Hard class rectification for domain adaptation
A machine learning approach to two-voice counterpoint composition
On interval type-2 rough fuzzy sets
An effective algorithm for delay-constrained dynamic multicasting
Fuzzy clustering of Acute Lymphoblastic Leukemia images assisted by Eagle strategy and morphological reconstruction
A predictive model for recurrent consumption behavior: An application on phone calls
An early warning system for loan risk assessment using artificial neural networks
DASFTOT: Dual attention spatiotemporal fused transformer for object tracking
Multi-objective hybrid algorithms for layout optimization in multi-robot cellular manufacturing systems
ESARSA-MRFO-FS: Optimizing Manta-ray Foraging Optimizer using Expected-SARSA reinforcement learning for features selection
Dynamic feature projection and grouped contrastive learning for text-to-image person re-identification
Importance index of components in uncertain random systems
A social commerce purchasing decision model with trust network and item review information
MgHiSal: MLLM-guided hierarchical semantic alignment for multimodal knowledge graph completion
Local quaternion polar harmonic Fourier moments-based multiple zero-watermarking scheme for color medical images
An efficient regularized K-nearest neighbor based weighted twin support vector regression
MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection
SKD-SBSR: Structural Knowledge Distillation for Sketch-Based 3D Shape Retrieval
Robust multi-model adaptation regression with local feature space representation
Dynamics simulation-based deep residual neural networks to detect flexible shafting faults
Robust sustainable development assessment with composite indices aggregating interacting dimensions: The hierarchical-SMAA-Choquet integral approach
Enhancing spatiotemporal prediction through the integration of Mamba state space models and Diffusion Transformers
GranKANFormer: A Granular KAN-based transformer with efficient and diverse fitting
Dynamic asynchronous edge-based event-triggered consensus of multi-agent systems
A three-domain fuzzy wavelet network filter using fuzzy PSO for robotic assisted minimally invasive surgery
Optimized radio-frequency identification system for different warehouse shapes
Construction of fuzzy ontologies from fuzzy XML models
Knowledge Memory Graph convolution network for cross-domain recommendation
Efficient high average-utility itemset mining using novel vertical weak upper-bounds
Path-based multi-hop reasoning over knowledge graph for answering questions via adversarial reinforcement learning
A gate-enhanced neuro additive graph neural network via knowledge distillation for CTR prediction
Multi-graph multi-label learning with novel and missing labels
ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging
Semi-supervised consensus clustering based on closed patterns
A randomization mechanism for realizing granular models in distributed system modeling
Residential property price time series forecasting with neural networks
K -nearest neighbors rule combining prototype selection and local feature weighting for classification
Multiscale edge detection based on Gaussian smoothing and edge tracking
PSSP with dynamic weighted kernel fusion based on SVM-PHGS
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems
DAF-DETR: A dynamic adaptation feature transformer for enhanced object detection in unmanned aerial vehicles
Inferring human microbe-drug associations via multiple kernel fusion on graph neural network
TIGER with model based diagnosis: initial deployment
ESC: An efficient synchronization-based clustering algorithm
Decision Support Systems with Uncertainties in Big Data Environments
Probabilistic analysis of trust based decision making in hostile environments
An effective and efficient fruit fly optimization algorithm with level probability policy and its applications
A proactive decision support system for predicting traffic crash events: A critical analysis of imbalanced class distribution
Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion
Hierarchical pattern-based complex query of temporal knowledge graph
From content to links: Social image embedding with deep multimodal model
A smartphone-based activity-aware system for music streaming recommendation
A feature selection approach for hyperspectral image based on modified ant lion optimizer
Efficient gradient descent algorithm for sparse models with application in learning-to-rank
A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine
A novel heuristic Morlet wavelet neural network procedure to solve the delay differential perturbed singular model
A modified cultural algorithm with a balanced performance for the differential evolution frameworks
Efficient global correlation measures for a collaborative filtering dataset
A novel transfer learning model for the real-time concrete crack detection
Attribute-Aware Implicit Modality Alignment for text attribute person search
A NeRF-based technique combined depth-guided filtering and view enhanced module for large-scale scene reconstruction
A preprocess algorithm of filtering irrelevant information based on the minimum class difference
SINVLIO: Using semantics and fuzzy logic to provide individual investment portfolio recommendations
GUIDE: Games with UML for interactive design exploration
Stochastic Gradient Descent for matrix completion: Hybrid parallelization on shared- and distributed-memory systems
Valley-loss regular simplex support vector machine for robust multiclass classification
A data mining approach to discover genetic and environmental factors involved in multifactorial diseases
Efficient semantic network construction with application to PubMed search
Lightweight network learning with Zero-Shot Neural Architecture Search for UAV images
Double-quantitative fusion of accuracy and importance: Systematic measure mining, benign integration construction, hierarchical attribute reduction
Mixture distribution modeling for scalable graph-based semi-supervised learning
Cross-scale hierarchical spatio-temporal transformer for video enhancement
LLMSRec: Large language model with service network augmentation for web service recommendation
Forecasting the molecular interactions: A hypergraph-based neural network for molecular relational learning
Multiscale feature fusion for surveillance video diagnosis
Knowledge assimilation: Implementing knowledge-guided agricultural large language model
Two-stage sampling with predicted distribution changes in federated semi-supervised learning
STGSN - A Spatial-Temporal Graph Neural Network framework for time-evolving social networks
An efficient explainable deep learning model for multiclass classification of gynecological cancers
Low-rank constraint-based multiple projections learning for cross-domain classification
Designing a feedback component of an intelligent tutoring system for foreign language
Randomized online edge service renting: Extending cloud-based CDN to edge environments
Exercise-Aware higher-order Thinking skills Assessment via fine-tuned large language model
Attentive capsule network for click-through rate and conversion rate prediction in online advertising
LQMF-RD: A lightweight quantum-driven multi-modal fusion framework for rumor detection
3D mesh colorization from a single image via geometry prior modulation
Aedes mosquito detection in its larval stage using deep neural networks
Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting
Nonlinear predictable feature learning with explanatory reasoning for complicated industrial system fault diagnosis
A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems
Domain-dependent distributed models for railway scheduling
User preferences modeling using dirichlet process mixture model for a content-based recommender system
Next-generation IIoT security: Comprehensive comparative analysis of CNN-based approaches
Is there a better way to forget? Modelling memory decay in deep knowledge tracing
TransfficFormer: A novel Transformer-based framework to generate evasive malicious traffic
Design of an assistive anaesthesia drug delivery control using knowledge based systems
FCM-GCN-based upstream and downstream dependence model for air traffic flow networks
Crested Porcupine Optimizer: A new nature-inspired metaheuristic
Multi-Scale interaction and enhancement network for referring camouflaged objects image segmentation
Logic-based approach to expert systems in chemistry
Temporal relation extraction with contrastive prototypical sampling
Zero-shot discrete hashing with adaptive class correlation for cross-modal retrieval
Dynamic transformer ODEs for large-scale reservoir inflow forecasting
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps
Domain-adaptive graph neural network for few-shot learning
A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification
DSC-MDE: Dual structural contexts for monocular depth estimation
Collection-driven and resolution-aware prompt learning for few-shot remote sensing scene classification
A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering
Collaborative content dissemination based on game theory in multimedia cloud
Easy Domain Adaptation for cross-subject multi-view emotion recognition
DHRNet: A Dual-path Hierarchical Relation Network for multi-person pose estimation
A Weighted Rank aggregation approach towards crowd opinion analysis
Knowledge-based management support systems : G I Doukidis, F Land and G Miller (Eds)
A two-stage hybrid particle swarm optimization algorithm for the stochastic job shop scheduling problem
A federated data-driven evolutionary algorithm
Multiple context planning within a truth-maintenance system
A novel method for identifying key nodes in multi-layer networks based on dynamic influence range and community importance
Knowledge capitalisation through case bases and knowledge engineering for road safety analysis
Knowledge-based approach to Petri nets analysis
Exploring non-negativity for improved manifold embedding: Application to t-SNE
An extended proximity relation and quantified aggregation for designing robust fuzzy query engine
Robust adaptive learning approach to self-organizing maps
Enhanced brain tumor classification via efficient predefined time adaptive neural network optimized with high-level target navigation pigeon-inspired optimization
Efficient approach for mining high-utility patterns on incremental databases with dynamic profits
Confidence-consistency driven group decision making approach with incomplete reciprocal intuitionistic preference relations
Transferable feature filtration network for multi-source domain adaptation
Adaptive exploration for few-shot incremental learning
A creative abduction approach to scientific and knowledge discovery
Optimisation of multilayer perceptron neural network using five novel metaheuristic algorithms for the prediction of wear of excavator bucket teeth
The omnipresence of case-based reasoning in science and application
Foreign exchange data crawling and analysis for knowledge discovery leading to informative decision making
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem
Deep time-frequency representation and progressive decision fusion for ECG classification
Entropy-based concept drift detection in information systems
Learning discriminative domain-invariant prototypes for generalized zero shot learning
GAN-based data augmentation and pseudo-label refinement with holistic features for unsupervised domain adaptation person re-identification
Mining actionable repetitive positive and negative sequential patterns
Constructive methods of rough approximation operators and multigranulation rough sets
RVFL-LSTM: A lightweight model with long-short term memory for time series
Automated feature engineering for automated machine learning
Studying continuous improvement from a knowledge perspective
Multiple Matrix Learning Machine with Five Aspects of Pattern Information
Contrastive subspace distribution learning for novel category discovery in high-dimensional visual data
Community preserving adaptive graph convolutional networks for link prediction in attributed networks
A novel quadrature particle filtering based on fuzzy c-means clustering
The concept of unavoidable features in fuzzy relational compositions
Data-driven decision model based on dynamical classifier selection
Systems development life-cycle for expert systems
Two methods of selecting Gaussian kernel parameters for one-class SVM and their application to fault detection
Using frames for knowledge representation in a CORBA-based distributed environment
Not all patches are crucial to image recognition: Window patch clustering attention for transformers
MultiFed: A fast converging federated learning framework for services QoS prediction via cloud-edge collaboration mechanism
A semantic validation of conceptual graphs
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification
Soft matching network with application to defect inspection
A novel adversarial domain adaptation transfer learning method for tool wear state prediction
Learning to generate text with auxiliary tasks
Collaborative filtering with social regularization for TV program recommendation
IPGAN: Identity-Preservation Generative Adversarial Network for unsupervised photo-to-caricature translation
A decision-based heterogenous graph attention network for multi-class fake news detection
Fusion of low-rankness and smoothness under learnable nonlinear transformation for tensor completion
Efficient frequent itemset mining methods over time-sensitive streams
Efficient texture-aware multi-GAN for image inpainting
Image classification with deep learning in the presence of noisy labels: A survey
Participatory theater: interacting with autonomous tools for creative applications
Developing fuzzy classifiers to predict the chance of occurrence of adult psychoses
Estimation of atmospheric visibility by deep learning model using multimodal dataset
Transformation of rough set models
Frequent approximate subgraphs as features for graph-based image classification
XAncestor: An efficient mapping approach for storing and querying XML documents in relational database using path-based technique
LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs
DSTN: Dynamic Spatio-Temporal Network for Early Fault Warning in Chemical Processes
An interpretable knowledge-based decision support system and its applications in pregnancy diagnosis
Selective embedding for deep learning
Joint subspace and discriminative learning for self-paced domain adaptation
Demand-driven kNN classification
Hybrid teaching-learning-based optimization and neural network algorithm for engineering design optimization problems
Determining seeds with robust influential ability from multi-layer networks: A multi-factorial evolutionary approach
GlyphGAN: Style-consistent font generation based on generative adversarial networks
An entity-Aware MLLM with conditional image generation for multimodal entity-Category-Sentiment triple extraction
Building and managing fuzzy ontologies with heterogeneous linguistic information
On modeling similarity and three-way decision under incomplete information in rough set theory
Knowledge processing and commonsense
A restart local search algorithm with relaxed configuration checking strategy for the minimum k-dominating set problem
Spatiotemporal adaptive attention 3D multiobject tracking for autonomous driving
Community-oriented multi-scale heterogeneous community detection using weighted positives and debiased negatives
DNN compression by ADMM-based joint pruning
TGADHead: An efficient and accurate task-guided attention-decoupled head for single-stage object detection
Efficient algorithms for mining high-utility itemsets in uncertain databases
Erratum to "Recurrent Multi-View Collaborative Registration Network for 3D Reconstruction and Optical Measurement of Blade Profiles" [Knowledge Based Systems Volume 295 (2024) 111857]
On the consistency of event processing: A semantic approach
Large language model based system with causal inference and Chain-of-Thoughts reasoning for traffic scene risk assessment
Domain-specific knowledge representation and inference engine for an intelligent tutoring system
ISKE: An unsupervised automatic keyphrase extraction approach using the iterated sentences based on graph method
Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues
Post-encoding enhancement: A screen-shooting resistant watermarking scheme with feature enhancement and hybrid distortion simulation
Representation purification with semantic contrastive learning for hyper-relational knowledge graph
Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks
Group decision making under hesitant fuzzy environment with application to personnel evaluation
UCAV Path Planning for Avoiding Obstacles using Cooperative Co-evolution Spider Monkey Optimization
Construction of EBRB classifier for imbalanced data based on Fuzzy C-Means clustering
The two sides of the theory of rough sets
Learning and approximation capabilities of orthogonal super greedy algorithm
An elitism-based multi-objective evolutionary algorithm for min-cost network disintegration
TempQA: An LLM-based framework for temporal knowledge graph question answering
Dual low-rank structure embedding for robust visual information processing
Convolutional neural network-based hidden Markov models for rolling element bearing fault identification
Dual adversity training for domain generalization
TAGAT: Type-Aware Graph Attention neTworks for reasoning over knowledge graphs
Semantic-guided policy network for zero-shot object goal visual navigation
Multi-Imbalance: An open-source software for multi-class imbalance learning
The creative process of animating human movement
Incorporating a non-additive decision making method into multi-layer neural networks and its application to financial distress analysis
Knowledge-based system for supporting statistical database management
Trust Description and Propagation System: Semantics and axiomatization
MFGCN: Multi-faceted spatial and temporal specific graph convolutional network for traffic-flow forecasting
TSCNet: Topology and semantic co-mining node representation learning based on direct perception strategy
Attribute reduction of covering decision systems by hypergraph model
Adaptive and online data anomaly detection for wireless sensor systems
GCD-JFSE: Graph-based class-domain knowledge joint feature selection and ensemble learning for EEG-based emotion recognition
Remaining useful life prediction based on a subdomain adaptation and contextual information compensation network
Spatiotemporal self-supervised predictive learning for atmospheric variable prediction via multi-group multi-attention
A scalable, distributed framework for significant subgroup discovery
Towards comprehensive expert finding with a hierarchical matching network
Dynamic opposite learning enhanced dragonfly algorithm for solving large-scale flexible job shop scheduling problem
Superpoint-enhanced transformer for fine-grained segmentation of slender primary scaffolding elements in point clouds
MHieR-encoder: Modelling the high-frequency changes across stocks
Case-based maintenance: Structuring and incrementing the case base
Possibilistic activity recognition with uncertain observations to support medication adherence in an assisted ambient living setting
Interpreting CNN predictions using conditional Generative Adversarial Networks