yusuke1997/dblp-id-title huggingface dataset:
Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark
Tucker decomposition-based temporal knowledge graph completion
Multi-faceted data augmentation for aspect-based sentiment analysis via large language models
AdaML: An Adaptive Meta-Learning model based on user relevance for user cold-start recommendation
RFBoost: An improved multi-label boosting algorithm and its application to text categorisation
An advanced integrated expert system for wastewater treatment plants control
SMLBoost-adopting a soft-margin like strategy in boosting
Learning of Quasi-nonlinear Long-term Cognitive Networks using iterative numerical methods
Generating knowledge in maintenance from Experience Feedback
Attention-based Graph Clustering Network with Dual Information Interaction
DE3D-NURBS: A differential evolution-based 3D path-planner integrating kinematic constraints and obstacle avoidance
A parameterizable influence spread-based centrality measure for influential users detection in social networks
A learner oriented learning recommendation approach based on mixed concept mapping and immune algorithm
Mixture correntropy based robust multi-view K-means clustering
Adaptive Forms: an interaction technique for entering structured data
Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion
A novel approach to determining change of caloric intake requirement based on fuzzy logic methodology
Measuring contradiction on A-IFS defined in finite universes
Spiking neural P systems with inhibitory rules
Partial multi-label learning via specific label disambiguation
Advanced empirical testing
Decentralized multi-objective bilevel decision making with fuzzy demands
Graph modularity maximization as an effective method for co-clustering text data
Dominance-based rough set approach: An application case study for setting speed limits for vehicles in speed controlled zones
A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications
Graphformer: Adaptive graph correlation transformer for multivariate long sequence time series forecasting
Cross-media web video topic detection based on heterogeneous interactive tensor learning
A generalized network with domain invariance and specificity representation for bearing remaining useful life prediction under unknown conditions
G-ANMI: A mutual information based genetic clustering algorithm for categorical data
An iterated greedy heuristic for collaborative Human-UAV search of missing tourists
KDDA-balance: Knowledge-driven domain adaptation with correlated gait information for elderly balance assessment
Missing value imputation using decision trees and decision forests by splitting and merging records: Two novel techniques
Self-attention neural architecture search for semantic image segmentation
Just-in-time defect prediction based on AST change embedding
Textual emotion detection with complementary BERT transformers in a Condorcet's Jury theorem assembly
Alecsa: Attentive Learning for Email Categorization using Structural Aspects
Joint model for feature selection and parameter optimization coupled with classifier ensemble in chemical mention recognition
Deep document clustering via adaptive hybrid representation learning
Multi-perspective empathy modeling for empathetic dialogue generation
Graph-ICF: Item-based collaborative filtering based on graph neural network
Cognitively-inspired representational approach to meaning in machine dialogue
Sample-efficient backtrack temporal difference deep reinforcement learning
Recommender systems survey
Fuzzy correspondences guided Gaussian mixture model for point set registration
An efficient approach for faster matching of approximate patterns in graphs
Event-triggered learning synchronization of coupled heterogeneous recurrent neural networks
Balancing Exploration and Exploitation: A novel active learner for imbalanced data
Graph Contrastive Multi-view Learning: A Pre-training Framework for Graph Classification
Compressed constrained spectral clustering framework for large-scale data sets
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects
Distributed incremental arc-consistency reasoning method for temporal network in multi-probe collaborative mission planning
Spatio-temporal fusion and contrastive learning for urban flow prediction
Joint sample and feature selection via sparse primal and dual LSSVM
A lightweight Future Skeleton Generation Network(FSGN) based on spatio-temporal encoding and decoding
Dynamic preference inference network: Improving sample efficiency for multi-objective reinforcement learning by preference estimation
CoSD: Collaborative stance detection with contrastive heterogeneous topic graph learning
ModFusion: Modality feature representation and hierarchical fusion for esophageal lesions segmentation
Personalized detection of user intentions
Clustering-oriented privacy-preserving data publishing
An iterative model-free feature screening procedure: Forward recursive selection
Instance selection of linear complexity for big data
Multidimensional time series motif group discovery based on matrix profile
Dual-enhanced generative model with graph attention network and contrastive learning for aspect sentiment triplet extraction
PLS-based recursive feature elimination for high-dimensional small sample
Discovering valuable frequent patterns based on RFM analysis without customer identification information
A new hybrid navigation algorithm for mobile robots in environments with incomplete knowledge
Can a large knowledge base be built by importing and unifying diverse knowledge?: lessons from scruffy work
Neural Radiance Selector: Find the best 2D representations of 3D data for CLIP based 3D tasks
An opposite direction searching algorithm for calculating the type-1 ordered weighted average
Human emotion recognition based on time-frequency analysis of multivariate EEG signal
Background music recommendation based on latent factors and moods
Cooperating knowledge-based systems for environmental decision support
Crucial and irreplaceable 3D features for facial beauty analysis
Designing knowledge based systems: the CommonKADS design model
A willingness-aware session-based social recommendation method with heterogeneous global graph embedding
Variational mode decomposition and sample entropy optimization based transformer framework for cloud resource load prediction
VT2V: A benchmark of object tracking with aerial & ground cooperation and multi-modal images
Joint imbalanced classification and feature selection for hospital readmissions
A distance measure between intuitionistic fuzzy belief functions
Cross-domain recommendation with user personality
CC-integrals: Choquet-like Copula-based aggregation functions and its application in fuzzy rule-based classification systems
Validation of the awareness net model for the Australian security investment processes
Automatic extraction of scale information for interactive measurement of anything in microscopy images
A new hidden behavior prediction model of complex systems under perturbations
Efficient updating of probabilistic approximations with incremental objects
Automated rule selection for opinion target extraction
Choosing the best dictionary for Cross-Lingual Word Sense Disambiguation
EvoImputer: An evolutionary approach for Missing Data Imputation and feature selection in the context of supervised learning
Discriminative locally document embedding: Learning a smooth affine map by approximation of the probabilistic generative structure of subspace
Self-supervised feature learning for motor fault diagnosis under various torque conditions
Evidential reasoning rule for MADM with both weights and reliabilities in group decision making
Node classification oriented Adaptive Multichannel Heterogeneous Graph Neural Network
An elitist nondominated sorting hybrid algorithm for multi-objective flexible job-shop scheduling problem with sequence-dependent setups
Sharpening deep graph clustering via diverse bellwethers
The stratified multi-criteria decision-making method
Orthogonal simplified swarm optimization for the series-parallel redundancy allocation problem with a mix of components
FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing
Biclustering-KNN joint learning in anomaly detection for handling class-imbalance-problem
DynaSTI: Dynamics modeling with sequential temporal information for reinforcement learning in Atari
Credibility score based multi-criteria recommender system
Declarative approach to information systems requirements
A deep learning-based sports player evaluation model based on game statistics and news articles
SCF: Structured collaborative filtering with heterogeneous implicit feedback
Automatic discovery of the sequential accesses from web log data files via a genetic algorithm
Multi-view generalized support vector machine via mining the inherent relationship between views with applications to face and fire smoke recognition
Measuring road safety achievement based on EWM-GRA-SVD: A decision-making support system for APEC countries
BMB-LIME: LIME with modeling local nonlinearity and uncertainty in explainability
Collective information-based particle swarm optimization for multi-fuel CHP economic dispatch problem
A novel periodic learning ontology matching model based on interactive grasshopper optimization algorithm
Boosted K-nearest neighbor classifiers based on fuzzy granules
Integrating wavelets with clustering and indexing for effective content-based image retrieval
Least absolute deviation-based robust support vector regression
Comment and improvement on "A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example"
Synchronization of fractional-order quaternion-valued neural networks with image encryption via event-triggered impulsive control
A ridgelet neural network with improved transfer learning with a cross-attention transformer model for medical image denoising
Integration of knowledge-based systems with data processing
Dynamic spatial aware graph transformer for spatiotemporal traffic flow forecasting
Deep feature and category confidence consistency learning for long-tailed sonar image recognition
APKGC: An adaptive and prompt-tuning framework for knowledge graph completion
Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system
The more obstacle information sharing, the more effective real-time path planning?
An interpretation of intuitionistic fuzzy sets in terms of evidence theory: Decision making aspect
Remarks on multi-output Gaussian process regression
Anti-synchronization of inertial neural networks with quaternion-valued and unbounded delays: Non-reduction and non-separation approach
Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework
Archetype analysis: A new subspace outlier detection approach
Aligning First, Then Fusing: A novel weakly supervised multimodal violence detection method
Auto-focus tracing: Image manipulation detection with artifact graph contrastive
DRGAN: A dual resolution guided low-resolution image inpainting
Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures
Integrating emotion-imitating into strategy learning improves cooperation in social dilemmas with extortion
Ruta: Implementations of neural autoencoders in R
Accelerating wrapper-based feature selection with K-nearest-neighbor
Topological invariants can be used to quantify complexity in abstract paintings
A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier
Volume-awareness and outlier-suppression co-training for weakly-supervised MRI breast mass segmentation with partial annotations
Time series clustering based on prediction accuracy of global forecasting models
How can dense results be differentiated in comprehensive evaluations? A hybrid information filtering model
CAM-guided Multi-Path Decoding U-Net with Triplet Feature Regularization for Defect Detection and Segmentation
An information filtering model on the Web and its application in JobAgent
A novel method for hybrid multiple attribute decision making
An innovative edge-driven social IoT service recommender framework utilizing multi-agent deep reinforcement learning
Bi-Neighborhood Graph Neural Network for cross-lingual entity alignment
Top-N news recommendations in digital newspapers
A Knowledge Base for the maintenance of knowledge extracted from web data
Hybrid recommendation approach for learning material based on sequential pattern of the accessed material and the learner's preference tree
Dynamic clustering based contextual combinatorial multi-armed bandit for online recommendation
Distributional actor critic with hierarchical attention-based state representation for dialogue policy learning
A model-based approach to robot fault diagnosis
Measuring ontology information by rules based transformation
HCUKE: A Hierarchical Context-aware approach for Unsupervised Keyphrase Extraction
Deep active learning models for imbalanced image classification
Bi-level weighted mixed-domain self-attention network for non-contact heart rate estimation
Business process variant analysis: Survey and classification
An approach to generalizing the handling of preferences in argumentation-based decision-making systems
A new bearing fault diagnosis approach combining sensitive statistical features with improved multiscale permutation entropy method
Naturally intelligent systems: M Caudill and C Butler
A knowledge-based approach to merging information
Adaptive and efficient high-order rating distance optimization model with slack variable
Cross-Domain Few-Shot Classification based on Lightweight Res2Net and Flexible GNN
Accurate Numerical Prediction Strategy (NPS) based on feature weighting and soft computing techniques
Structured object tracking with discriminative patch attributed relational graph
Ensemble feature selection: Homogeneous and heterogeneous approaches
Generative adversarial mediation network: A novel generative learning approach to causal mediation analysis
Multi-task dual-level adversarial transfer learning boosted RUL estimation of CNC milling tools
Self-calibrated driver gaze estimation via gaze pattern learning
Fuzzy relational representation, modeling and interpretation of temporal data
A new three-dimensional encoding multiobjective evolutionary algorithm with application to the portfolio optimization problem
FROG: Inference from knowledge base for missing value imputation
FDR-MSA: Enhancing multimodal sentiment analysis through feature disentanglement and reconstruction
A deep learning guided memetic framework for graph coloring problems
Alternate search pattern-based brain storm optimization
Covering the path space: a casebase analysis for mobile robot path planning
Multiple-attribute decision-making method based on the correlation coefficient between dual hesitant fuzzy linguistic term sets
Rough set based approach for inducing decision trees
A survey on Deep Learning in Edge-Cloud Collaboration: Model partitioning, privacy preservation, and prospects
Inverse physics-informed neural networks for digital twin-based bearing fault diagnosis under imbalanced samples
Global and local similarity learning in multi-kernel space for nonnegative matrix factorization
Ontology based text indexing and querying for the semantic web
Self-paced and soft-weighted nonnegative matrix factorization for data representation
PAFusion: A general image fusion network with adversarial representation learning
Aggregated Mutual Learning between CNN and Transformer for semi-supervised medical image segmentation
MSTAD: A masked subspace-like transformer for multi-class anomaly detection
Discovering personalized document partition via intention-aware deep document clustering
Aeronautical relay health state assessment model based on belief rule base with attribute reliability
Artificial intelligence (AI) in blended learning
A study of graph-based system for multi-view clustering
Anomaly detection in online credit card data using optimized multi-view heterogeneous graph neural networks
A decision tree-based attribute weighting filter for naive Bayes
Random projection ensemble learning with multiple empirical kernels
LDA-based data augmentation algorithm for acoustic scene classification
Masked region disparity-based unsafe behavior detection via campus monitoring device images
A regularization for the projection twin support vector machine
On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction
Coverless steganography based on image retrieval of DenseNet features and DWT sequence mapping
Multi-turn intent determination and slot filling with neural networks and regular expressions
Hierarchical reinforcement learning from imperfect demonstrations through reachable coverage-based subgoal filtering
Determining attribute weights for multiple attribute decision analysis with discriminating power in belief distributions
FIM-guided PINNs for real-time parameter identification in digital twins of nonlinear vibratory systems
Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news
Accelerating one-shot neural architecture search via constructing a sparse search space
Clustering time-stamped data using multiple nonnegative matrices factorization
PPDistiller: Weakly-supervised 3D point cloud semantic segmentation framework via point-to-pixel distillation
A simple utility function with the rules-verified weights for analyzing the top competitiveness of WCY 2012
Distance and similarity measures for higher order hesitant fuzzy sets
Intelligent handling of data by integration of commonsense reasoning
Aiming strategy error analysis and verification of a billiard training system
Poly-TF: A polymeric transformer framework for multiple visual tasks at once
Interpretable deep network harnessing spectral variability similarity for accurate hyperspectral unmixing
Local gap density for clustering high-dimensional data with varying densities
Implement web learning environment based on data mining
Learning enhanced specific representations for multi-view feature learning
Fusing multi-source quality statistical data for construction risk assessment and warning based on deep learning
Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting
CFs-focused intelligent diagnosis scheme via alternative kernels networks with soft squeeze-and-excitation attention for fast-precise fault detection under slow & sharp speed variations
Noise label learning through label confidence statistical inference
Multimodal adversarial network for cross-modal retrieval
CogniAlign: Word-level multimodal speech alignment with gated cross-attention for Alzheimer's detection
Multiple criteria decision-making methods with completely unknown weights in hesitant fuzzy linguistic term setting
Conceptual graphs
BM-Edit: Background retention and motion consistency for zero-shot video editing
Bi-level programming based real-time path planning for unmanned aerial vehicles
Bio-inspired heuristic dynamic programming for high-precision real-time flow control in a multi-tributary river system
Deepnet-based surgical tools detection in laparoscopic videos
CJE-TIG: Zero-shot cross-lingual text-to-image generation by Corpora-based Joint Encoding
DCNet: Diversity convolutional network for ventricle segmentation on short-axis cardiac magnetic resonance images
Pornographic images recognition based on spatial pyramid partition and multi-instance ensemble learning
Signature based Merkle Hash Multiplication algorithm to secure the communication in IoT devices
Expressive fuzzy description logics over lattices
Broaden the minority class space for decision tree induction using antigen-derived detectors
Adaptive fusion transfer learning-based digital multitwin-assised intelligent fault diagnosis
Multi-population-based adaptive sine cosine algorithm with modified mutualism strategy for global optimization
Gaussian Mixture Descriptors Learner
LPGOH: Label-prototype guided online hashing for efficient cross-modal retrieval
Local adaptive learning for semi-supervised feature selection with group sparsity
Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization
Isomer: Transfer enhanced dual-channel heterogeneous dependency attention network for aspect-based sentiment classification
AITL-Net: An adaptive interpretable transfer learning network with robust generalization for liver cancer recognition
Artificial intelligence-enabled non-intrusive vigilance assessment approach to reducing traffic controller's human errors
Deep learning based automated vein recognition using swin transformer and super graph glue model
Software machine designed for selection
A topology-aware multiscale feature fusion network for EEG-based motor imagery decoding
Self-Configured Framework for scalable link prediction in twitter: Towards autonomous spark framework
An AI-based system for pricing diverse products and services
Spectral clustering with density sensitive similarity function
Multi-modal generative adversarial network for zero-shot learning
An improved probabilistic spiking neural network with enhanced discriminative ability
SPHEREA: Synthetic dataset generation for equirectangular panoramas of home environments
Leveraging evolutionary algorithms with a dynamic weighted search space approach for fraud detection in healthcare insurance claims
Modelling dynamic behaviour of business organisations - extension of DEMO from a semiotic perspective
Detecting potential labeling errors for bioinformatics by multiple voting
GPL-GNN: Graph prompt learning for graph neural network
Online attentive kernel-based temporal difference learning
AMSP-Net: Adaptive multi-scale patch network for long time-series forecasting
Dynamic scheduling for cloud manufacturing with uncertain events by hierarchical reinforcement learning and attention mechanism
Hierarchical text interaction for rating prediction
Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts' judgments
Cognitive structure learning model for hierarchical multi-label text classification
Enhanced deep learning and quantum variational classifier for large-scale data analysis
The development of an online knowledge-based expert system for machinability data selection
Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network
Influence Factorization for identifying authorities in Twitter
A hybrid scheme-based one-vs-all decision trees for multi-class classification tasks
Gradient-driven data-free sample balancing for robust hierarchical federated learning
Mixed Resolution Network with hierarchical motion modeling for efficient action recognition
Hierarchical Interactive Network for joint aspect extraction and sentiment classification
A Multi-Scale feature embedding framework using grouped and parametric convolutions for efficient time series imputation
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms
A new outranking choice method for group decision making under Atanassov's interval-valued intuitionistic fuzzy environment
Quantum entropy structural encoding for graph neural networks
Learning path recommendation with multi-behavior user modeling and cascading deep Q networks
Neural networks and fuzzy systems : B Kosko Prentice-Hall
An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems
A novel aggregation principle for hesitant fuzzy elements
Subgraph feature extraction based on multi-view dictionary learning for graph classification
A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems
A knowledge driven approach to aerospace condition monitoring
Context, situations, and design agents