yusuke1997/dblp-id-title huggingface dataset:
Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs
Knowledge engineering in design
A Piecewise Aggregate pattern representation approach for anomaly detection in time series
FIMUS: A framework for imputing missing values using co-appearance, correlation and similarity analysis
An effective memetic algorithm for multi-objective job-shop scheduling
Multi-source adaptation embedding with feature selection by exploiting correlation information
An analysis of fully fuzzy linear programming with fuzzy decision variables through logistics network design problem
Multi-source heterogeneous sensor information fusion framework for intelligent online chatter detection in different milling conditions
Integrating structural and operational knowledge into multi-state system modeling: Application in urban infrastructures
Grouping knowledge-base data into distributable clusters
PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data
Novel comprehensive unified classification system toward smart standardized built environment knowledge and low-risk international collaborations: UniCCC
Memory-gated diffusion policy: Advancing robotic behaviour learning with memory-oriented architectures
Deep U-Net architecture with curriculum learning for myocardial pathology segmentation in multi-sequence cardiac magnetic resonance images
Divide-Aggregate Heterogeneous Hypergraph for large-scale user intention detection
HP-Tracker: A high-performance tracker for small targets in remote sensing
PTMCO-FS: A three-layer multi-task collaborative optimization feature selection method based on prior knowledge on high-dimensional data
Exploiting diversity for optimizing margin distribution in ensemble learning
UPSimulator: A general P system simulator
Deep continuous convolutional networks for fault diagnosis
Intensity-based image registration using multiple distributed agents
Knowledge-support systems
Resampling algorithms based on sample concatenation for imbalance learning
Coordinating Experience Replay: A Harmonious Experience Retention approach for Continual Learning
Retraction notice to "A novel twin minimax probability machine for classification and regression" [Knowl.-Based Syst. 196 (2020) 105703]
A multivariate time series anomaly detection method with Multi-Grain Dynamic Receptive Field
Mind your privacy: Privacy leakage through BCI applications using machine learning methods
Profiling instances in noise reduction
SACPC: A framework based on probabilistic linguistic terms for short text sentiment analysis
A descriptive framework for the field of deep learning applications in medical images
Multi-aspect Knowledge-enhanced Hypergraph Attention Network for Conversational Recommendation Systems
Predicting football results using Bayesian nets and other machine learning techniques
ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity
Spatial-channel knowledge distillation for flood mapping in synthetic aperture radar images
Vision graph convolutional network for underwater image enhancement
Positional trace encoding for next activity prediction in event logs
Unsupervised feature selection for balanced clustering
Improving deep ensemble vehicle classification by using selected adversarial samples
Multi-plane multi-slice longitudinal MRI for deep ensemble progression detection based on enhanced residual multi-head self-attention
STEAMCODER: Spatial and Temporal Adaptive Dynamic Convolution Autoencoder for Anomaly Detection
Augmented label propagation for seed set expansion
Multi-target object detection and classification for cloud based surveillance in smart internet of things using multi-component attention graph convolutional neural network
Simultaneously learning feature-wise weights and local structures for multi-view subspace clustering
Visible-hidden hybrid automatic feature engineering via multi-agent reinforcement learning
CORBA infrastructure for distributed learning and meta-learning
Missing value estimation using clustering and deep learning within multiple imputation framework
Unsupervised twitter social bot detection using deep contrastive graph clustering
rPPG-TFCL: Time-frequency consistency learning for robust remote physiological measurement
Heterogeneous network representation learning via multiple attention mechanisms
Single-player Monte-Carlo tree search for SameGame
International asset allocation optimization with fuzzy return
A Multi-Task Hierarchical Approach for Intent Detection and Slot Filling
A distributed streaming framework for edge-cloud triangle counting in graph streams
Towards a fuzzy logic programming system: a fuzzy propositional logic
A knowledge-based component library for high-level computer vision tasks
Ada-Matcher: A deep detector-based local feature matcher with adaptive weight sharing
Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity
Mining frequent weighted utility itemsets in hierarchical quantitative databases
Artificial bee colony algorithm with efficient search strategy based on random neighborhood structure
C OVERAGE : verifying multiple-agent knowledge-based systems
A novel approach to customer segmentation for product development on social media data: integrating aspect-based sentiment analysis and text mining
Multi-view clustering via deep concept factorization
CBAR: an efficient method for mining association rules
Personalized federated learning with multiple classifier aggregation
Accurate policy detection and efficient knowledge reuse against multi-strategic opponents
When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification
Time-aware bike flow prediction framework with dynamic edge fusion and memory integration
A weighted EMD-based prediction model based on TOPSIS and feed forward neural network for noised time series
Easy balanced mixing for long-tailed data
Improving hierarchical task network planning performance by the use of domain-independent heuristic search
Interlayer link prediction in multiplex social networks: An iterative degree penalty algorithm
Turning breakdowns into opportunities for creativity
Interval valued entropies for Dempster-Shafer structu97res
Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks
Multiperson decision making with different preference representation structures: A direct consensus framework and its properties
TS-TFSIAM: Time-series self-supervised learning with time-frequency SiameseNet
Advancing deep clustering through the synergy of contrastive learning and capsule-GAN
Analysis of the problem description in the Algorithm for Inventive Problem Solving using Petri nets
Self-supervised distributional and contrastive learning model for image anomaly detection
A knowledge distillation-guided equivariant graph neural network for improving protein interaction site prediction performance
Fusing ECG signals and IRT models for task difficulty prediction in computerised educational systems
Exploring more diverse network architectures for single image super-resolution
Scaling KNN multi-class twin support vector machine via safe instance reduction
A new intelligent hybrid forecasting method for power load considering uncertainty
Symmetric uncertainty-incorporated probabilistic sequence-based ant colony optimization for feature selection in classification
A Slim Prompt-Averaged Consistency prompt learning for vision-language model
Sample cutting method for imbalanced text sentiment classification based on BRC
A knowledge based genetic algorithm approach to automating cartographic generalisation
Incremental learning model inspired in Rehearsal for deep convolutional networks
Novel measurement for mining effective association rules
Dynamic multiobjective evolutionary algorithm with adaptive response mechanism selection strategy
A concise peephole model based transfer learning method for small sample temporal feature-based data-driven quality analysis
Fruit fly optimization algorithm based on differential evolution and its application on gasification process operation optimization
Automated message selection for robust Heterogeneous Graph Contrastive Learning
Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification
An automated system for grammatical analysis of Twitter messages. A learning task application
Channel and spatial attention based deep object co-segmentation
Unbiased multimodal fusion for medical image segmentation based on dual-Stream adapter
KNN-based Kalman filter: An efficient and non-stationary method for Gaussian process regression
SDCOR: Scalable density-based clustering for local outlier detection in massive-scale datasets
STV-BEATS: Skip Thought Vector and Bi-Encoder based Automatic Text Summarizer
Knowledge-based process management - an approach to handling adaptive workflow
Multitasking of sentiment detection and emotion recognition in code-mixed Hinglish data
An empirical study on sea water quality prediction
Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems
Integration of conceptual graphs and government-binding theory
Slim-RFFNet: Slim deep convolution random Fourier feature network for image classification
Preference disaggregation method for value-based multi-decision sorting problems with a real-world application in nanotechnology
Three-stream interaction decoder network for RGB-thermal salient object detection
An extended hyperbola model for road tracking for video-based personal navigation
A social ties-based approach for group decision-making problems with incomplete additive preference relations
Risk and confidence analysis for fuzzy multicriteria decision making
Term-weighting learning via genetic programming for text classification
DHR-BLS: A Huber-type robust broad learning system with its distributed version
SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for incomplete multimodal learning in conversational emotion recognition
Addressing semantic heterogeneity through multiple knowledge base assisted merging of domain-specific ontologies
Knowledge graph embedding with concepts
Partial classification in the belief function framework
Graph-based approaches to debugging and revision of terminologies in DL-Lite
Exploring low-resource weather forecasting with echo state network-based architectures and satellite data
A hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive multimodal optimization problems
Web data extraction, applications and techniques: A survey
Learning the heterogeneous bibliographic information network for literature-based discovery
Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment
NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training
Hessian-based semi-supervised feature selection using generalized uncorrelated constraint
Lite-FENet: Lightweight multi-scale feature enrichment network for few-shot segmentation
Simulation-data Driven Generalized Zero-Shot Learning for Multi-agent Bearing Compound Fault Diagnosis
A deep forest classifier with weights of class probability distribution subsets
Different paths to the same destination: Diversifying LLMs generation for multi-hop open-domain question answering
Automatic detection of satire in Twitter: A psycholinguistic-based approach
A generic sparse regression imputation method for time series and tabular data
Zero-shot relation triplet extraction as Next-Sentence Prediction
A pool-based simulated annealing approach for preference-aware influence maximisation in social networks
Diagnostic reasoning based on means-end models: experiences and future prospects
Development of a runtime-condition model for proactive intelligent products using knowledge graphs and embedding
PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis
CrossGCL: Cross-pairwise graph contrastive learning for unbiased recommendation
Discriminative multi-modal deep generative models
A knowledge-based decision support system to analyze the debris-flow problems at Chen-Yu-Lan River, Taiwan
Incremental learning of complete linear discriminant analysis for face recognition
Visual-textual sentiment classification with bi-directional multi-level attention networks
Effective web log mining and online navigational pattern prediction
Learning of aggregation models in multi criteria decision making
Ontology-aware dynamically adaptable free-form natural language agent interface for querying databases
MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets
Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?
A novel bilateral protocol in the bipartite network based on the public goods game
Modeling syphilis progression and disability risk with neural networks
Probabilistic fusion of crowds and experts for the search of gravitational waves
Learning the cross-modal discriminative feature representation for RGB-T crowd counting
Semantic relation-aware graph attention network with noise augmented layer-wise contrastive learning for recommendation
A hybrid discrete optimization algorithm based on teaching-probabilistic learning mechanism for no-wait flow shop scheduling
A similarity-based two-view multiple instance learning method for classification
Recognizing and regulating e-learners' emotions based on interactive Chinese texts in e-learning systems
Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission
Agent service matchmaking algorithm for autonomic element with semantic and QoS constraints
MuGIL: A Multi-Graph Interaction Learning Network for Multi-Task Traffic Prediction
Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning
Inventory management using constraint satisfaction and knowledge refinement techniques
Fine-grained, aspect-based sentiment analysis on economic and financial lexicon
Malicious software spread modeling and control in cyber-physical systems
MTDiff: Visual anomaly detection with multi-scale diffusion models
Enhancing evolutionary multitasking optimization by leveraging inter-task knowledge transfers and improved evolutionary operators
Evidence fusion-based framework for condition evaluation of complex electromechanical system in process industry
A new Centroid-Based Classification model for text categorization
ACNN-FM: A novel recommender with attention-based convolutional neural network and factorization machines
Toward customized model discrepancies in personalized federated learning on non-IID data
Multivariate time-series signals to image for recognizing pilot compensation
Dynamic center point learning for multiple object tracking under Severe occlusions
Integrating local and global correlations with Mamba-Transformer for multi-class anomaly detection
An effective two-dimensional code instance dollmaker masked convolutional network for QR code beautification
Efficient mining of incremental high utility patterns with negative unit profits over all the accumulated stream data
LLVM-drone: A synergistic framework integrating large language models and vision models for visual tasks in unmanned aerial vehicles
An effective multi-model fusion method for EEG-based sleep stage classification
An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems
A two-stage discrete water wave optimization algorithm for the flowshop lot-streaming scheduling problem with intermingling and variable lot sizes
Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data
Robust latent discriminative adaptive graph preserving learning for image feature extraction
ITL-IDS: Incremental Transfer Learning for Intrusion Detection Systems
GraphSeqGuard: Detecting Ethereum phishing scams via temporally evolving graph sequences
A key instance-guided frame-to-video information fusion network for thyroid ultrasound video instance segmentation
CS-BPSO: Hybrid feature selection based on chi-square and binary PSO algorithm for Arabic email authorship analysis
Density peaks clustering with gap-based automatic center detection
Diagnosis of Alzheimer's disease via an attention-based multi-scale convolutional neural network
TKGAT: Graph attention network for knowledge-enhanced tag-aware recommendation system
Recommendations of closed consensus temporal patterns by group decision making
A knowledge enhanced learning and semantic composition model for multi-claim fact checking
An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction
Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks
Visual object tracking via non-local correlation attention learning
Passenger flow estimation based on convolutional neural network in public transportation system
Classifier ensemble creation via false labelling
Soft reordering one-dimensional convolutional neural network for credit scoring
HMEN: A hybrid modular network with dynamic expansion for continual learning
Logical structures in the lexicon
Enhancing recommendation via knowledge transfer contrastive in global path networks
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting
A new application of ELECTRE III and revised Simos' procedure for group material selection under weighting uncertainty
Constrained neighborhood preserving concept factorization for data representation
Knowledge based domain adaptation for semantic segmentation
Particle swarm optimization for time series motif discovery
Label correlation guided borderline oversampling for imbalanced multi-label data learning
Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis
A novel version of simulated annealing based on linguistic patterns for solving facility layout problems
DRSI-Net: Dual-residual spatial interaction network for multi-person pose estimation
Node classification based on structure migration and graph attention convolutional crossover network
Towards context-aware collaborative filtering by learning context-aware latent representations
Multi-view multi-behavior interest learning network and contrastive learning for multi-behavior recommendation
Hybrid adaptive modeling using neural networks trained with nonlinear dynamics based features
A property-based abstraction framework for SysML activity diagrams
Position-aware graph neural network for session-based recommendation
Learning a unified embedding space of web search from large-scale query log
Distance: A more comprehensible perspective for measures in rough set theory
Online Multi-label Group Feature Selection
Human error tolerant anomaly detection based on time-periodic packet sampling
Robust gravitation based adaptive k-NN graph under class-imbalanced scenarios
A lightweight embedding method for knowledge graph quality evaluation
Perspectives in artificial intelligence : J A Campbell and J Cuena Ellis Horwood Ltd
Cumulative belief peaks evidential K -nearest neighbor clustering
Problem solving strategies for open information systems
Empirical study of expert system development
Improved Binary Grey Wolf Optimizer and Its application for feature selection
Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction
Hyperspectral image classification based on discriminative locality preserving broad learning system
Bipolar fuzzy rough set model on two different universes and its application
On the design of searching algorithm for parameter plateau in quantitative trading strategies using particle swarm optimization
A rule-based reactive model for the simulation of aircraft on airport gates
QA-TSN: QuickAccurate Tongue Segmentation Net
Multi-level knowledge distillation for low-resolution object detection and facial expression recognition
Ontology-based SWOT analysis method for electronic word-of-mouth
Editorial for the special issue: 25th Anniversary of Knowledge-Based Systems
A data-driven Machine Learning approach to creativity and innovation techniques selection in solution development
A self-training method based on density peaks and an extended parameter-free local noise filter for k nearest neighbor
Optimal performance of Binary Relevance CNN in targeted multi-label text classification
From easy to hard: Improving personalized response generation of task-oriented dialogue systems by leveraging capacity in open-domain dialogues
Topological analysis of knowledge maps
An extended LSTM network with multi-scale channels attention for remaining useful life prediction and predictive uncertainty quantification
MLACO: A multi-label feature selection algorithm based on ant colony optimization
Reasoning within extended fuzzy description logic
TAPON: A two-phase machine learning approach for semantic labelling
Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables
Fast kernel extreme learning machine for ordinal regression
Augmenting features by relative transformation for small data
Multi-guided feature refinement for point cloud semantic segmentation with weakly supervision
Dynamics analysis of rumor propagation model in dual-layer heterogeneous social networks considering information coupling effect
Editorial introduction to IUI 2000 S.I
DSNet: Predicting drug-side effect frequencies via Dual-Graph Ensemble and Similarity Learning
Computer aided detection of spina bifida using nearest neighbor classification with curvature scale space features of fetal skulls extracted from ultrasound images
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions
CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information
Grammatical error simulation for computer-assisted language learning
Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions
On rule acquisition methods for data classification in heterogeneous incomplete decision systems
An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood
Boosting aspect category detection with inference heuristics and knowledge enhancement
HMM-based hybrid meta-clustering ensemble for temporal data
MeSIN: Multilevel selective and interactive network for medication recommendation
A novel compact design of convolutional layers with spatial transformation towards lower-rank representation for image classification
Special Issue on "Evolutionary Fuzzy Systems" EFSs
Next-Gen IoT Security using Polar Codes-based Cryptography for malware defence through quantum self-attention neural network
DGI: Recognition of Textual Entailment via dynamic gate Matching
Dynamic debiasing of multi-hop fact verification via counterfactual reasoning
A new feature selection method using deep learning and graph representation in high-dimensional datasets
Functional connectivity-enhanced feature-grouped attention network for cross-subject EEG emotion recognition
Robust multi-label feature selection with dual-graph regularization
D2AP: Double Debiasing with Adaptive Proxies for Domain Generalization in Noisy Environment
A twist in Intimate Partner Violence Risk Assessment Tools: Gauging the contribution of exogenous and historical variables
Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation
Deep human answer understanding for natural reverse QA
Discriminating feature ratio: Introducing metric for uncovering vulnerabilities in deep convolutional neural networks
Evolutionary game dynamics in multiagent systems with prosocial and antisocial exclusion strategies