yusuke1997/dblp-id-title huggingface dataset:
Communicative commitments: Model checking and complexity analysis
Characteristics of an effective design plan system to support reuse in case-based mechanical design
Discriminative fuzzy K-means clustering with local structure preservation for high-dimensional data
Frequency-driven channel attention-augmented full-scale temporal modeling network for skeleton-based action recognition
Analysis of pattern recognition and dimensionality reduction techniques for odor biometrics
Generalized attribute reduct in rough set theory
Stochastic Ghost Batch for Self-distillation with Dynamic Soft Label
Aspect-based automated evaluation of dialogues
Induced generalized intuitionistic fuzzy operators
Predictive machine learning for prescriptive applications: A coupled training-validating approach
Condition-based optimization of non-identical inspection intervals for a k-out-of-n load sharing system with hybrid mixed redundancy strategy
Exploiting semantic annotation to supporting user browsing on the web
Subgraph-based feature fusion models for semantic similarity computation in heterogeneous knowledge graphs
Multi-view clustering via clusterwise weights learning
A natural language processing-based approach for early detection of heart failure onset using electronic health records
Mining DNA sequences to predict sites which mutations cause genetic diseases
Privacy-preserving context-aware recommendation system with federated neural collaborative filtering
MDDIP: Efficient single-layer pixel-based metasurface denoising via deep image prior
Efficient algorithms for spatial configuration information retrieval
Fusion with distance-aware selection strategy for dandelion algorithm
Intertwining knowledge delivery and elicitation: a process model for human-computer collaboration in design
Prior-knowledge and attention based meta-learning for few-shot learning
Introducing transfer learning to extract the implicit features of text: A new method for E-commerce enterprise classification
Boosting point cloud understanding through graph convolutional network with scale measurement and high-frequency enhancement
Explainable Artificial Intelligence (XAI) in glaucoma assessment: Advancing the frontiers of machine learning algorithms
Modeling complex linguistic expressions in qualitative decision making: An overview
Optimizing vision transformers for CPU platforms via human-machine collaborative design
Ensemble learning framework for image retrieval via deep hash ranking
SFPL: Sensitivity feature perception learning based on stochastic differential equations for temporal knowledge graph completion
Forecasting price movements of global financial indexes using complex quantitative financial networks
A novel bijective substitution box design based on nomadic people optimizer and discrete chaotic map
Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases
Binary Banyan tree growth optimization: A practical approach to high-dimensional feature selection
Adaptive target community search with sample expansion
DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation
Few-shot human action anomaly detection via a unified contrastive learning framework
Privacy-preserving ground-truth data for evaluating additive feature attribution in regression models with additive CBR and CQV
Meta-level sentiment models for big social data analysis
DSFormer: Dynamic size attention with enhanced long-range dependency modeling for artery/vein classification
Fighting criminals: Adaptive inferring and choosing the next investigative objects in the criminal network
Student-friendly knowledge distillation
Organizational forms for knowledge management in photovoltaic solar energy industry
SSTL-FM: Self-supervised transfer learning-based fusion model for the classification of benign-malignant lung nodules
A revised cognitive mapping methodology for modeling and simulation
Minority oversampling for imbalanced ordinal regression
A knowledge-based system approach for a context-aware system
Agent-based formation of virtual organisations
A contrastive topic-aware attentive framework with label encodings for post-disaster resource classification
High-performance one-stage detector for SiC crystal defects based on convolutional neural network
Preference-based clustering reviews for augmenting e-commerce recommendation
TimeCLR: A self-supervised contrastive learning framework for univariate time series representation
Attention on the key modes: Machinery fault diagnosis transformers through variational mode decomposition
Locally linear method for fixed effects panel interval-valued data model
SWISS: Signal-wise self-supervised learning to learn a multi-signal interaction for human activity recognition
Mining frequent trajectory pattern based on vague space partition
Creativity and Cognition 1996
MLDCGAN: A multimodal latent diffusion conditioned GAN model for accelerated and high-fidelity MRI-CT synthesis in radiotherapy planning
A vague-rough set approach for uncertain knowledge acquisition
Towards the application of case based reasoning to decision-making in concurrent product development (concurrent engineering)
Advancing text adversarial example generation using large language models
Domain knowledge query conversation bots in instant messaging (IM)
A Multi-View Deep Metric Learning approach for Categorical Representation on mixed data
A knee point driven Kriging-assisted multi-objective robust fuzzy clustering algorithm for image segmentation
Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions
An Intelligent Recurrent Neural Network Driven Secured Routing Protocol for Vehicular Ad Hoc Networks
Fast approach to knowledge acquisition in covering information systems using matrix operations
Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE
DiffOSR: Latitude-aware conditional diffusion probabilistic model for omnidirectional image super-resolution
Hierarchical multi-task learning with CRF for implicit discourse relation recognition
Document-level relation extraction with two-stage dynamic graph attention networks
Logistic local hyperplane-Relief: A feature weighting method for classification
A framework for determining design correctness
Multi-objective evolutionary computation for topology coverage assessment problem
Federated heterogeneous graph neural network enhanced by perturbation graph contrastive learning and SpectralNet for privacy-preserving recommendation
A probability model for key analysis in music
Knowledge based decision support system to assist work-related risk analysis in musculoskeletal disorder
A classification method based on dominance neighborhood granularity
Syntax-based residual graph attention network for aspect-level sentiment classification
Enhancing the performance of power distribution systems through integrated network reconfiguration and distributed generation design
A simultaneous feature adaptation and feature selection method for content-based image retrieval systems
PyGOP : A Python library for Generalized Operational Perceptron algorithms
Gated graph spiking neural P network for session-based recommendation
Efficient mining top-k high utility itemsets in incremental databases based on threshold raising strategies and pre-large concept
VCE: Visual concept embedding for open-set fine-grained image retrieval
Leveraging malicious behavior traces from volatile memory using machine learning methods for trusted unknown malware detection in Linux cloud environments
A new method for group decision making with incomplete fuzzy preference relations
Horizontal crossover and co-operative hunting-based Whale Optimization Algorithm for feature selection
Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning
Dual attention-based method for occluded person re-identification
Promoting cooperation of agents through aggregation of services in trust models
CATodyNet: Cross-attention temporal dynamic graph neural network for multivariate time series classification
A collaborative learning framework for knowledge graph embedding and reasoning
Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy
Deduction: P. N. Johnson-Laird and M. J. Baird
Community detection based on the Matthew effect
A new quantum-behaved particle swarm optimization based on cultural evolution mechanism for multiobjective problems
Integrating edge features and complementary attention mechanism for drug response prediction
FMDBN: A first-order Markov dynamic Bayesian network classifier with continuous attributes
MulSetRank: Multiple set ranking for personalized recommendation from implicit feedback
A sliding windows based dual support framework for discovering emerging trends from temporal data
Self-training on graph neural networks for recommendation with implicit feedback
Q2HO-MFTV: A binary hippopotamus optimization algorithm for feature selection with a brief review of binary optimization
Path planning for dual UAVs cooperative suspension transport based on artificial potential field-A* algorithm
Modelling and application of fuzzy adaptive minimum spanning tree in tourism agglomeration area division
Dynamic feature scaling for online learning of binary classifiers
Knowledge-based natural answer generation via effective graph learning
Knowledge-based software assistant
Learning graph deep autoencoder for anomaly detection in multi-attributed networks
VIKCSE: Visual-knowledge enhanced contrastive learning with prompts for sentence embedding
A reliable Bayesian regularization neural network approach to solve the global stability of infectious disease model
Intelligent algorithms for a new joint replenishment and synthetical delivery problem in a warehouse centralized supply chain
Leveraging out-of-distribution unlabeled images: Semi-supervised semantic segmentation with an open-vocabulary model
Generating machine-executable plans from end-user's natural-language instructions
Multiplicative consistency of intuitionistic reciprocal preference relations and its application to missing values estimation and consensus building
An OWA-based hierarchical clustering approach to understanding users' lifestyles
EBRB cascade classifier for imbalanced data via rule weight updating
Dual-view multi-scale cognitive representation for deep knowledge tracing
Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values
Meta-multigraph search: Rethinking meta-structure on heterogeneous information networks
Defective alternatives detection-based multi-attribute intuitionistic fuzzy large-scale decision making model
Evolution prediction of multi-scale information diffusion dynamics
Ontology-based information content computation
On the structure of the multigranulation rough set model
SPMFormer: Simplified Physical Model-based transformer with cross-space loss for underwater image enhancement
Multi-view Stable Feature Selection with Adaptive Optimization of View Weights
LLM Knowledge-Driven Target Prototype Learning for Few-Shot Segmentation
Information granule-based classifier: A development of granular imputation of missing data
WebPersona: a lifelike presentation agent for the World-Wide Web
Efficient hypothetical reasoning system for predicate-logic knowledge base
Enhanced Jaya algorithm: A simple but efficient optimization method for constrained engineering design problems
A knowledge-based tool for multi-agent domain engineering
Cognitive cooperation through visual interaction
Bio-inspired computational model for direction and speed detection
Cauchy sparse NMF with manifold regularization: A robust method for hyperspectral unmixing
Representing discourse for collaborative interactive generation
Self-attention-based adaptive remaining useful life prediction for IGBT with Monte Carlo dropout
Development of Deer Hunting linked Earthworm Optimization Algorithm for solving large scale Traveling Salesman Problem
Towards link inference attack against network structure perturbation
FHN: An efficient algorithm for mining high-utility itemsets with negative unit profits
A plug-and-play steganography method via latent space manipulation for multiple generation modes
Self-supervised contrastive learning for heterophilic graph with latent recurring pattern embedding
Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget
Cardiac disease detection utilizing temporal attention recurrent graph convolutional neural network based smart wearable system
A combinational incremental ensemble of classifiers as a technique for predicting students' performance in distance education
Out-of-distribution monocular depth estimation with local invariant regression
A survey of methods used in probabilistic expert systems for knowledge integration
A deep variational Bayesian framework for blind image deblurring
Diffusion models with self-conditioning guidance for multivariate time series anomaly detection
Knowledge pairing systems in granular computing
Fit evaluation of virtual garment try-on by learning from digital pressure data
FPCNN: A fast privacy-preserving outsourced convolutional neural network with low-bandwidth
A social recommender system based on reliable implicit relationships
A discrete variant of cuckoo search algorithm to solve the Travelling Salesman Problem and path planning for autonomous trolley inside warehouse
An improved autoencoder for recommendation to alleviate the vanishing gradient problem
Bridging semantics across modalities: Decoupled representation learning for audio-visual speech recognition
Pre-argumentative reasoning
Resource-efficient workflow scheduling in clouds
User disambiguation learning for precise shared-account marketing: A hierarchical self-attentive sequential recommendation method
Bagging-like metric learning for support vector regression
Exploring the complementarity between convolution and transformer matching for visual tracking
Improving knowledge distillation via multi-level normalization and multi-level decoupling
An interval-valued intuitionistic fuzzy LINMAP method with inclusion comparison possibilities and hybrid averaging operations for multiple criteria group decision making
A knowledge-based resource discovery for Internet of Things
Adaptive weighted ensemble clustering via kernel learning and local information preservation
Automated intra-patient and inter-patient coronary artery disease and congestive heart failure detection using EFAP-Net
Layered input GradiNet for image denoising
Novel correlation coefficients between hesitant fuzzy sets and their application in decision making
Atanassov's intuitionistic fuzzy probability and Markov chains
Structured multiagent decision-making in information diffusion: The model and dynamics
A graph-attention based spatial-temporal learning framework for tourism demand forecasting
Graph-based discriminative concept factorization for data representation
Enhanced network security through an intelligent deep learning-based intrusion detection system with optimized performance
Cooperative encirclement multi-targets control of second-order nonlinear multi-agent systems in 3D space
A knowledge-based approach for classifying lake water chemistry
Boundary-aware adversarial ensemble learning for multivariate time series anomaly detection
Knowledge graph-enabled adaptive work packaging approach in modular construction
Anti-forgetting source-free domain adaptation method for machine fault diagnosis
Agent-based analysis and simulation of the consumer airline market share for Frontier Airlines
Wireless LAN load balancing with genetic algorithms
A novel domain adaptation theory with Jensen-Shannon divergence
Weighted logistic regression for large-scale imbalanced and rare events data
Online recommendations based on dynamic adjustment of recommendation lists
Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides
Negative sampling and rule mining for explainable link prediction in knowledge graphs
A new uniform evolutionary algorithm based on decomposition and CDAS for many-objective optimization
Merging requirements from a set of ranked agents
Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification
Ramp-loss nonparallel support vector regression: Robust, sparse and scalable approximation
Combining case-based reasoning and statistical method for proposing solution in RICAD
Stages of knowledge management systems in police investigations
Evolving large-scale data stream analytics based on scalable PANFIS
Nonstationary time series transformation methods: An experimental review
Cross-modal emotion hashing network: Efficient binary coding for large-scale multimodal emotion retrieval
Distributed intelligent systems: issues, perspectives and approaches
Single & cross: A graph-enhanced framework for cross-domain recommendation with transfer learning
Neighborhood rough sets with distance metric learning for feature selection
Influence of community structure on misinformation containment in online social networks
The defect of the Grey Wolf optimization algorithm and its verification method
SSS-Net: A shadowed-sets-based semi-supervised sample selection network for classification on noise labeled images
Reinforced rule-based fuzzy models: Design and analysis
Decision making in social media with consistent data
Temporal reasoning using tesseral addressing: towards an intelligent environmental impact assessment system
Text-based person search via local-relational-global fine grained alignment
Bias-in-debias-out: Hierarchical channel-spatial bias calibration for cross-domain few-shot classification
Bridging spatiotemporal feature gap for video salient object detection
Incomplete graph learning via data and representation-level interaction
Learning attention-based representations from multiple patterns for relation prediction in knowledge graphs
Modeling High-order relationships and dynamic preferences for group recommendation
Metadata-based measurements transmission verified by a Merkle Tree
Machine and deep learning for the prediction of nutrient deficiency in wheat leaf images
Content-aware Nakagami morphing for incremental brain MRI
Twin robust matrix machine for intelligent fault identification of outlier samples in roller bearing
Approximation reduction in inconsistent incomplete decision tables
An integrated knowledge-based system for grasslands ecosystems
Multi-source domain adaptation with joint learning for cross-domain sentiment classification
MonoPAM: Roadside monocular 3D object detection with polygonal attention mechanism
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach
Detecting redundancy among production rules using term rewrite semantics
Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining
A binary-continuous invasive weed optimization algorithm for a vendor selection problem
Inter-cluster and intra-cluster joint optimization for unsupervised cross-domain person re-identification
Source-free Style-diversity Adversarial Domain Adaptation with Privacy-preservation for person re-identification
Ontology-based context synchronization for ad hoc social collaborations
Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines
Guided learning strategy: A novel update mechanism for metaheuristic algorithms design and improvement
A novel multi-scale quadratic convolutional network for bearing fault diagnosis: Handling noisy conditions
DVAE: A Dynamic Variational Autoencoder for Structured Causal Discovery with Application in Biomedical Time Series
A temporal kernel for time series forecasting
Towards document-level event extraction via Binary Contrastive Generation
Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification
Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization
Document based rational software development
A new one-class SVM based on hidden information
A multi-scale semantically enriched feature pyramid network with enhanced focal loss for small-object detection
A robust domain distribution alignment discriminative network driven by physical samples for rotor-bearing fault diagnosis
Special issue on "Intelligent Software Design"
Managing non-cooperative behaviors in consensus-based multiple attribute group decision making: An approach based on social network analysis
Scalable sub-game solving for imperfect-information games
Dual-consistency graph-spectral embedding joint learning for multi-view single-cell clustering
Assessing physical activity and functional fitness level using convolutional neural networks
Graph contrastive learning via coarsening: A time and memory efficient approach
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package
Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection
A cluster-wise regression method for distribution-valued data
Deep discriminative image feature learning for cross-modal semantics understanding
Coverage-based resampling: Building robust consolidated decision trees
Automated grasp labeling and detection framework with pixel-level precision
An aspect sentiment classification model for graph attention networks incorporating syntactic, semantic, and knowledge
An embedding model for temporal knowledge graphs with long and irregular intervals
DEEP, a methodology for entity extraction using organizational patterns: Application to job offers
An empirical study of three machine learning methods for spam filtering
A novel random multi-subspace based ReliefF for feature selection
Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs
Machine learning Ethereum cryptocurrency prediction and knowledge-based investment strategies
An early warning method for arrhythmias in long-term ECGs based on self-supervised learning and LSTM
Measuring cell-id trajectory similarity for mobile phone route classification
KEPT: Knowledge Enhanced Prompt Tuning for event causality identification
A hierarchical clusterer ensemble method based on boosting theory
Attribute importance measurement method based on data coordination degree
A resource-light method for cross-lingual semantic textual similarity
Assessing print quality by machine in offset colour printing
Active relation discovery: Towards general and label-aware open relation extraction
Object tracking using optimized Dual interactive Wasserstein generative adversarial network from surveillance video
Joint learning model for underwater acoustic target recognition
Knowledge distillation and enhanced subdomain adaptation using graph convolutional network for resource-constrained fault diagnosis
Cognitive task analysis and interface design in a technical troubleshooting domain
Introduction to the KBS Special Issue on Intelligent User Interfaces
A novel random forest approach for imbalance problem in crime linkage
Contrastive Predictive Embedding for learning and inference in knowledge graph
Interval type-2 fuzzy logic for encoding clinical practice guidelines
A robust and fast multispectral pedestrian detection deep network
From scientific computation to decision support
DEXT: an integrated knowledge-engineering environment for control-engineering applications
Automated circuit sizing with multi-objective optimization based on differential evolution and Bayesian inference
Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma
GRASP with path relinking for the single row facility layout problem
Intensification-driven tabu search for the minimum differential dispersion problem