yusuke1997/dblp-id-title huggingface dataset:
HBOFFS: Hybrid breeding optimization algorithm inspired federated feature selection for intrusion detection in IIoT
Development of a knowledge-based system for cogeneration plant design: Verification, validation and lessons learned
A cross organisation compatible workflows generation and execution framework
Improving sequence labeling with labeled clue sentences
Complementary Labels Learning with Augmented Classes
Rethinking the robustness of graph neural networks: An information theory perspective
A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity
Efficiently embedding dynamic knowledge graphs
Multi-adversarial deep transfer network for multi-source open-set fault diagnosis of rotating machinery with category shift
Multi-view subspace clustering based on adaptive search
Solar flare detection system based on tolerance near sets in a GPU-CUDA framework
Brightness-gradient difference feature guided shadow removal method
A Deep learning based data augmentation method to improve COVID-19 detection from medical imaging
Personality-based refinement for sentiment classification in microblog
A graph-based approach to ememes identification and tracking in Social Media streams
Integrated approach to knowledge-based process-plan generation
Advanced deep learning framework for ECG arrhythmia classification using 1D-CNN with attention mechanism
KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction
Interaction in multimedia art
Semi-supervised fuzzy clustering with metric learning and entropy regularization
Transfer learning with stacked reconstruction independent component analysis
Uncertainty-informed prototype contrastive learning for cross-scene hyperspectral image classification
Convolutional bidirectional GRU for dynamic functional connectivity classification in brain diseases diagnosis
Strategies for mixed reasoning with a graph-based reasoning engine
A framework for strategy formulation based on clustering approach: A case study in a corporate organization
Heuristically repopulated Bayesian ant colony optimization for treating missing values in large databases
Log based business process engineering using fuzzy web service discovery
Predicting hypoglycemic drugs of type 2 diabetes based on weighted rank support vector machine
Agent-based modeling and simulations of terrorist attacks combined with stampedes
Emperor penguin optimizer: A bio-inspired algorithm for engineering problems
RDM-IR: Task-adaptive deep unfolding network for All-In-One image restoration
Advanced ontology management system for personalised e-Learning
KGIE: Knowledge graph convolutional network for recommender system with interactive embedding
Blockchain-integrated optimized cryptographic framework for securing cloud data
Review on self-supervised image recognition using deep neural networks
Optimizing the number of trees in a decision forest to discover a subforest with high ensemble accuracy using a genetic algorithm
Estimating product-choice probabilities from recency and frequency of page views
Deriving human activity from geo-located data by ontological and statistical reasoning
Latent space refinement for unsupervised cyber threat text classification
Automatic species identification of live moths
TIRPMiner: An efficient algorithm for mining time interval-related pattern
Philosophical grounding and computational formalization for practice based engineering knowledge
Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number
PySEF: A python library for similarity-based dimensionality reduction
Efficient sequential pattern mining with wildcards for keyphrase extraction
MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning
Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks
Adversarial Cluster-Level and Global-Level Graph Contrastive Learning for node representation
Communication-privacy-accuracy trade-offs in federated learning for non-IID data with shuffle model
Uncertain pure linguistic hybrid harmonic averaging operator and generalized interval aggregation operator based approach to group decision making
Additional planning with multiple objectives for reinforcement learning
EFNet-CSM: EfficientNet with a modified attention mechanism for effective fire detection
TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer
BCVR: Bootstrap Clustering with Variance Regularization and Covariance Contrast for Self-supervised Learning
Exploring critical drivers of global innovation: A Bayesian Network perspective
Improving probability selection based weights for satisfiability problems
The synergistic combination of particle swarm optimization and fuzzy sets to design granular classifier
A novel business cycle surveillance system using the query logs of search engines
Hy-SN: Hyper-graph based semantic network
A distributed system for the simulation of people flows in an airport terminal
Multi-source information fusion for safety risk assessment in underground tunnels
Sentiment Lossless Summarization
Multi-teacher knowledge distillation and ensemble algorithm for efficient brain tumor classification in resource-constrained environments with explainable AI
Developing an Intelligent Decision Support System for large-scale smart grid communication network planning
Hyperparameter optimization through context-based meta-reinforcement learning with task-aware representation
A feature enhancement network based on image partitioning in a multi-branch encoder-decoder architecture
Ensemble dimension reduction based on spectral disturbance for subspace clustering
A Dynamic Three-way Decision Model based on the Updating of Attribute Values
Multi-view semi-supervised learning for classification on dynamic networks
AFMF: Time series anomaly detection framework with modified forecasting
Analogic: Inference beyond logic
Fuzzy logic-based portfolio selection with particle filtering and anomaly detection
LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss
An empirical study of a cross-level association rule mining approach to cold-start recommendations
A class of hybrid morphological perceptrons with application in time series forecasting
STCC: Scale-aware transformer for crowd counting
Cluster search optimisation of deep neural networks for audio emotion classification
Knowledge graph embedding by reflection transformation
Statistical matching using autoencoders-canonical correlation analysis, kernel canonical correlation analysis and multi-output multilayer perceptron
TripleRank: An unsupervised keyphrase extraction algorithm
Active learning with missing values considering imputation uncertainty
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification
News impact on stock price return via sentiment analysis
Risk assessment modeling for knowledge based and startup projects based on feasibility studies: A Bayesian network approach
A novel method for rule extraction in a knowledge-based innovation tutoring system
Cooperative attention generative adversarial network for unsupervised domain adaptation
Relational completion based non-negative matrix factorization for predicting metabolite-disease associations
Reducing calibration effort for clonal selection based algorithms: A reinforcement learning approach
Forecasting short-term traffic speed based on multiple attributes of adjacent roads
s-XML: An efficient mapping scheme to bridge XML and relational database
IMCStacking: Cost-sensitive stacking learning with feature inverse mapping for imbalanced problems
Information maximization clustering via multi-view self-labelling
DSGWO: An improved grey wolf optimizer with diversity enhanced strategy based on group-stage competition and balance mechanisms
Aligning large language models with human preferences using historical text edits
A drift detection method for industrial images based on a defect segmentation model
A comprehensive survey on sentiment analysis: Approaches, challenges and trends
An evolutionary algorithm-based approach to robust analog circuit design using constrained multi-objective optimization
ITÖ algorithm with local search for large scale multiple balanced traveling salesmen problem
From fuzzy rule-based models to their granular generalizations
Tensor-ring based multi-view contrastive graph clustering with high-quality pseudo-labels
Hierarchical memory-guided long-term tracking with meta transformer inquiry network
A reinforcement learning-based approach for online bus scheduling
SF-CABD: Secure Byzantine fault tolerance federated learning on Non-IID data
A multi-graph neural group recommendation model with meta-learning and multi-teacher distillation
A novel structure automatic-determined Fourier extreme learning machine for generalized Black-Scholes partial differential equation
Managing restaurant tables using constraints
Causal discovery using dynamically requested knowledge
Multiscale welding defect detection method based on image adaptive enhancement
Medcongtm: Interpretable multi-label clinical code prediction with dual-view graph contrastive topic modeling
Make your choice for multimodal knowledge graph completion
A non-dominated ensemble fitness ranking algorithm for multi-objective flexible job-shop scheduling problem considering worker flexibility and green factors
Modelling knowledge-based creative design : John S Gero and Mary Lou Maher (Eds.)
Mining top-rank- k frequent weighted itemsets using WN-list structures and an early pruning strategy
Two-way heterogeneity model for dynamic spatiotemporal traffic flow prediction
DE-PSA: Learning from unlabeled data by dual-stage label propagation for positive selection algorithm
Grey relational analysis model for dynamic hybrid multiple attribute decision making
A method for multi-granularity uncertain linguistic group decision making with incomplete weight information
Partial random under/oversampling for multilabel problems
Prolog and deductive databases
Non-convex activated zeroing neural network model for solving time-varying nonlinear minimization problems with finite-time convergence
A particle swarm optimizer with multi-level population sampling and dynamic p -learning mechanisms for large-scale optimization
Knowledge reasoning based on graph neural networks with multi-layer top-p message passing and sparse negative sampling
iTransMamba: A lightweight spatio-temporal network based on long-term traffic flow forecasting
A real-world underwater turbid image enhancement benchmark and beyond
The Siebog multiagent middleware
Query rewriting under query refinements
Soft-self and Hard-cross Graph Attention Network for Knowledge Graph Entity Alignment
Information diffusion-based spatio-temporal risk analysis of grassland fire disaster in northern China
Multi-dimensional multi-round minimum cost consensus models with iterative mechanisms involving reward and punishment measures
Latent semantic analysis for text categorization using neural network
An efficient approximation to the K-means clustering for massive data
Restricted Sensitive Attributes-based Sequential Anonymization (RSA-SA) approach for privacy-preserving data stream publishing
Clickbait detection on WeChat: A deep model integrating semantic and syntactic information
Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems
Robust regression framework with asymmetrically analogous to correntropy-induced loss
Three-way recommender systems based on random forests
Enhancing equipment safeguarding in IIoT: A self-supervised fault diagnosis paradigm based on asymmetric graph autoencoder
Improved sine cosine algorithm with crossover scheme for global optimization
Advanced computing in Japan
A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine
Joint multi-layer network and coupling redundancy minimization for semi-supervised EEG-based emotion recognition
Transforming knowledge workers into innovation workers to improve corporate productivity
Forgetting for distance-based reasoning and repair in DL-Lite
MIIPSO-EFS: Learning system with self-optimized parameters for chaotic time series online prediction
Multi-surrogate multi-tasking optimization of expensive problems
A self-learning knowledge-based MOEA/D for distributed heterogeneous assembly permutation flowshop scheduling with batch delivery
A big-data oriented recommendation method based on multi-objective optimization
Enhancing ICD classification with semantic embedding rectification and long-tail refinement
A knowledge-based supplier intelligence retrieval system for outsource manufacturing
Graph RAG-based fault diagnosis for train bogies using knowledge graphs and large language model
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
A self-supervised pretraining model for time series classification based on data preprocessing
Retrospective analysis for knowledge-based idea generation of new artifacts
Phase space elliptic density feature for epileptic EEG signals classification using metaheuristic optimization method
Making AI systems more creative: the IPC-model
Effective person re-identification by self-attention model guided feature learning
SEER: Knowledge-driven semantic image restoration with vision-language diffusion alignment
Constrained evolutionary optimization based on reinforcement learning using the objective function and constraints
Span-level detection of AI-generated scientific text via contrastive learning and structural calibration
Approximate logic neuron model trained by states of matter search algorithm
Question answering based on pervasive agent ontology and Semantic Web
A multi-aware graph convolutional network for driver drowsiness detection
BND-VGG-19: A deep learning algorithm for COVID-19 identification utilizing X-ray images
Hierarchical Independence Thresholding for learning Bayesian network classifiers
Requirements for the knowledge-based support of software engineering measurement plans
Manifold attention-enhanced multi-domain convolutional network for decoding motor imagery intention
Time series anomaly detection based on enhanced anomaly simulation and triplet contrastive knowledge base
Agreement and disagreement between major emotion recognition systems
A multi-view model for visual tracking via correlation filters
Consequence analysis theory for alarm analysis
Joint multi-label classification and label correlations with missing labels and feature selection
Prompting large language models with knowledge graphs for question answering involving long-tail facts
An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine
One step at a time: An efficient approach to query-based ontology debugging
ACORI: a novel ACO algorithm for rule induction
Contrastive learning based open-set recognition with unknown score
Selective interactive networks with knowledge graphs for image classification
Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval
A new knowledge-based link recommendation approach using a non-parametric multilayer model of dynamic complex networks
Influence maximization based on the realistic independent cascade model
Dual-regularized matrix factorization with deep neural networks for recommender systems
Transfer learning augmented enhanced memory network models for reference evapotranspiration estimation
A knowledge-driven method for real-time acoustic holographic field reconstruction using physical modeling and semi-supervised neural networks
Regularized extreme learning adaptive neuro-fuzzy algorithm for regression and classification
Region scalable active contour model with global constraint
Genetic brake-net: Deep learning based brake light detection for collision avoidance using genetic algorithm
Unsupervised reservoir computing for multivariate denoising of severely contaminated signals
Constructive knowledge engineering
Lexical knowledge enhanced text matching via distilled word sense disambiguation
Three-Way clustering based on fuzzy centroids in incomplete information systems with categorical data
Tri-granularity attribute reduction of three-way concept lattices
Linear parameter varying (LPV) based robust control of type-I diabetes driven for real patient data
Evolving prototype control rules for a dynamic system
CoAPT: Context Attribute words for Prompt Tuning
Uninorm-like parametric activation functions for human-understandable neural models
Prediction of disease-associated circRNAs via circRNA-disease pair graph and weighted nuclear norm minimization
A constrained optimization algorithm for learning GloVe embeddings with semantic lexicons
Consolidating SWOT analysis with nonhomogeneous uncertain preference information
Positionless aspect based sentiment analysis using attention mechanism
A multi-typed multi-relational heterogeneous graph neural network model for complex networks
What do they "meme"? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding
Introducing attribute risk for retrieval in case-based reasoning
Sparse tensor neighbor embedding based pan-sharpening via N-way block pursuit
A decision support system for managing combinatorial problems in container terminals
Explainable link prediction based on multi-granularity relation-embedded representation
Knowledge-driven nodes selection with modified LASSO regularization for neural network modeling in economic data forecasting
A new dominance intensity method to deal with ordinal information about a DM's preferences within MAVT
Proposition of common classifier construction for pattern recognition with context task
Concept formation in design
Designing granular fuzzy models: A hierarchical approach to fuzzy modeling
DyAtGNN: Dynamic Attention Graph Neural Networks for dynamic graph
Making new design ideas more concrete
An edge creation history retrieval based method to predict links in social networks
Bit flip attack-guided mixed-precision neural network quantization
Tensor decomposition based attention module for spiking neural networks
A diagnostic prediction framework on auxiliary medical system for breast cancer in developing countries
Housing rental suggestion based on e-commerce data
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy
Message passing between individual and socially acquainted objects in Smalltalk
Hybrid recommendations and dynamic authoring for AR knowledge capture and re-use in diagnosis applications
Towards quality control for knowledge-based systems development
Symmetric convolutional neural network for mandible segmentation
ExpertPriz - an integrated expert system shell
Adaptive optimization with reinforcement learning for high utility itemset extraction
A new BRB based method to establish hidden failure prognosis model by using life data and monitoring observation
Evolving interval-based representation for multiple classifier fusion
Evidential clustering of large dissimilarity data
INQUIRER: Harnessing internal knowledge graphs for video question generation
Scale-variant structural feature construction of EEG stream via component-increased Dynamic Tensor Decomposition
Parallel binary arithmetic optimization algorithm and its application for feature selection
Chaotic dynamic weight particle swarm optimization for numerical function optimization
Simultaneous model construction and noise reduction for hierarchical time series via Support Vector Regression
Grey Forecast model for accurate recommendation in presence of data sparsity and correlation
A knowledge-guided graph attention network for emotion-cause pair extraction
Interference analysis in multiple rule firing systems
Efficient blind super-resolution imaging via adaptive degradation-aware estimation
Reasoning with part-part relations in a description logic
Control of discrete chaotic systems based on echo state network modeling with an adaptive noise canceler
Modeling Shipment Spot Pricing in the Australian Container Shipping Industry: Case of ASIA-OCEANIA trade lane
EMADS: An extendible multi-agent data miner
Discovering highly expected utility itemsets for revenue prediction
SMART software for decision makers KDD experience
A topic modeled unsupervised approach to single document extractive text summarization
A new metaheuristic optimization based on K-means clustering algorithm and its application to structural damage identification
Topology modification against membership inference attack in Graph Neural Networks
Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets
UnLearnerMC: Unsupervised learning of dense depth and camera pose using mask and cooperative loss
Data privacy protection: A novel federated transfer learning scheme for bearing fault diagnosis
Double-dictionary learning unsupervised feature selection cooperating with low-rank and sparsity
iGC: Reinforcement learning-guided intelligent garbage collection strategy for multi-tenant SSDs
Exploring the adversarial robustness of face forgery detection with decision-based black-box attacks
Adaptive early classification of temporal sequences using deep reinforcement learning
Classifying credit ratings for Asian banks using integrating feature selection and the CPDA-based rough sets approach
Predicting loss given default using post-default information
Knowledge acquisition for expert systems in accounting and financial problem domains
Consensus reaching in social network group decision making: Research paradigms and challenges
PatternFinder: Pattern discovery for truth discovery
Uncertainty modeling using fuzzy measures
Sub-document neural topic model
Deep learning-enhanced Koopman-operator-based self-triggered distributionally robust optimization SMPC strategy for satellite attitude control
RCLEAF: Reliable contrastive learning-driven efficient adaptive fusion for multi-view clustering
Diversified service recommendation with high accuracy and efficiency
The development of intuitive knowledge classifier and the modeling of domain dependent data
Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture
A large language model-driven reward design framework via dynamic feedback for reinforcement learning
Multi-label multi-modal classification of movie scenes
FSG-Zero: An efficient end-to-end fusion framework for robust continual adaptation in EEG seizure prediction
A scalable unsupervised framework for multi-aspect labeling of multilingual and multi-domain review data
A combination of active learning and self-learning for named entity recognition on Twitter using conditional random fields
Data classification using evidence reasoning rule
Semantic-enhanced Contrastive Learning for Session-based Recommendation
Gradient-based federated Bayesian optimization
A supervised learning algorithm based on the quasi-Bayesian method for the probability density functions and application for medical data
Three-way decision support for diagnosis on focal liver lesions
Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm
ContourGAN: Image contour detection with generative adversarial network
Task allocation for maximum cooperation in complex structured business processes
Unsupervised anomaly detection and localization with one model for all category
Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions
Adaptive-propagating heterophilous graph convolutional network
A framework for building closed-domain chat dialogue systems
Dependence clustering, a method revealing community structure with group dependence
ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning
Consistent prompt learning for vision-language models