yusuke1997/dblp-id-title huggingface dataset:
Subtype dependent biomarker identification and tumor classification from gene expression profiles
Multiplex network community detection algorithm based on motif awareness
A pattern-based knowledge editing system for building clinical Decision Support Systems
VLP2MSA: Expanding vision-language pre-training to multimodal sentiment analysis
A novel battery network modelling using constraint differential evolution algorithm optimisation
An Adaptive Cooperative Caching Strategy (ACCS) for Mobile Ad Hoc Networks
A linguistic representation based approach to modelling Kansei data and its application to consumer-oriented evaluation of traditional products
An evolutionary multi-algorithm based framework for the parametric estimation of proton exchange membrane fuel cell
What does the representation talk back to you?
Adaptive online event detection in news streams
A novel unsupervised framework for time series data anomaly detection via spectrum decomposition
An end-to-end controller with image-based visual servoing of industrial manipulators with soft-actor-critic algorithm
Improving the exploitation in the estimation of distribution algorithm through simulated annealing strategies for solar energy problems
CTSE-Net: Resource-efficient convolutional and TF-transformer network for speech enhancement
Chance-constrained DEA models with random fuzzy inputs and outputs
SpaMGAN: Multi-view graph augmentation network for spatial domain identification in spatial transcriptomics
Data locality optimization based on data migration and hotspots prediction in geo-distributed cloud environment
Automatic construction of domain-specific sentiment lexicon for unsupervised domain adaptation and sentiment classification
LLEDA - Lifelong Self-Supervised Domain Adaptation
Automatic extraction of shapes using sheXer
A physics-guided memory enhancement and causality-inspired generalization framework for continual fault diagnosis
Construction of stock portfolios based on k-means clustering of continuous trend features
Fairness-aware loss history based federated learning heuristic algorithm
LSG-GAN: Latent space guided generative adversarial network for person pose transfer
Detection and localization of myocardial infarction based on a convolutional autoencoder
An efficient Group Skip-Connecting Network for image super-resolution
Impact of variable initiative on a natural language dialog system
Hoeffding adaptive trees for multi-label classification on data streams
Supervised Cross-Momentum Contrast: Aligning representations with prototypical examples to enhance financial sentiment analysis
FastRCA-Seq: An efficient approach for extracting hierarchies of multilevel closed partially-ordered patterns
Argument representation for editorial text
A general moving detection method using dual-target nonparametric background model
Audio scene recognition based on audio events and topic model
Multi-target QSAR modelling of chemo-genomic data analysis based on Extreme Learning Machine
Domain-aware trust network extraction for trust propagation in large-scale heterogeneous trust networks
Two-phase anticipatory system design based on extended species abundance model of biogeography for intelligent battlefield preparation
Dynamic Path Relinking for the Target Set Selection problem
Discriminative local collaborative representation for online object tracking
A cost-sensitive classification algorithm: BEE-Miner
Graph-Regularized Consensus Learning and Diversity Representation for unsupervised multi-view feature selection
Textual out-of-distribution (OOD) detection for LLM quality assurance
Consensus learning guided multi-view unsupervised feature selection
Multi-lingual and Cross-lingual timeline extraction
Few-shot relation classification using clustering-based prototype modification
Photometric transfer for direct visual odometry
Dual-channel optimized multi-view learning via information bottleneck
DPCAC: Effective multi-scale graph contrastive learning via dual-perspective clustering and adaptive contrast
Dimension selection for EEG classification in the SPD Riemannian space based on PSO
Online transfer learning with multiple source domains for multi-class classification
Word sense disambiguation based sentiment lexicons for sentiment classification
Fairness-aware training of face attribute classifiers via adversarial robustness
Information gain ratio-based subfeature grouping empowers particle swarm optimization for feature selection
ClusterRiceNet: A novel rice seed variety classification network based on hyperspectral imaging and spectral band clustering
CoSTI: Consistency models for (a faster) spatio-temporal imputation
Unmanned aerial vehicle swarm distributed cooperation method based on situation awareness consensus and its information processing mechanism
Conceptual Recombination: A method for producing exploratory and transformational creativity in creative works
A comprehensive overview of knowledge graph completion
SAM-LAD: Segment Anything Model meets zero-shot logic anomaly detection
How to identify early defaults in online lending: A cost-sensitive multi-layer learning framework
Semantically consistent multi-view representation learning
Meta-DDA: Meta-learning with diffusion and dual augmentation for few-shot text classification
DDC: Dynamic distribution calibration for few-shot learning under multi-scale representation
Semi-supervised local entropy-decayed oversampling for imbalanced data
A combination method for interval forecasting of agricultural commodity futures prices
A survey on federated learning
Knowledge configuration model for fast derivation design of electronic equipment and its implementation
Online reputation management for improving marketing by using a hybrid MCDM model
Global disentangled graph convolutional neural network based on a graph topological metric
Lag selection in feature-based clustering of time series
Similarity-driven adversarial testing of neural networks
FedAWM: Adaptive watermark allocation in non-IID federated learning
Weighted average algorithm: A novel meta-heuristic optimization algorithm based on the weighted average position concept
Online transfer learning for generalized linear model prediction
Unsupervised cross-modal similarity via Latent Structure Discrete Hashing Factorization
NP-miner: A real-time recommendation algorithm by using web usage mining
An emoji-aware multitask framework for multimodal sarcasm detection
Low correlation portfolio formation with preselection using rich relational data
Collaborative fine-grained interaction learning for image-text sentiment analysis
Unifying multi-associations through hypergraph for bundle recommendation
Community preserving mapping for network hyperbolic embedding
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection
Nonconvex and adaptive multi-Label learning for highly incomplete labels
A new decision-making method by incomplete preferences based on evidence distance
Corrigendum to "Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism" [Knowl.-Based Syst. (2022) 109105]
High-precision privacy-protected image retrieval based on multi-feature fusion
A data mining approach to knowledge discovery from multidimensional cube structures
Portfolio selection and risk investment under the hesitant fuzzy environment
SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning
Automatic vectorization of segmented road networks by geometrical and topological analysis of high resolution binary images
An effective framework based on local cores for self-labeled semi-supervised classification
Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining
Special section: Creativity and cognition
Weakly-supervised spatial-temporal video grounding via spatial-temporal annotation on a single frame
Margin-guided parameter decoupling-consensus framework for federated domain generalization in machinery fault diagnosis
Subspace clustering based on latent low-rank representation with transformed Schatten-1 penalty function
Finger vein recognition system with template protection based on convolutional neural network
Towards safe and robust weakly-supervised anomaly detection under subpopulation shift
A mixed-strategy based gravitational search algorithm for parameter identification of hydraulic turbine governing system
R-VQA: A robust visual question answering model
Automatic data clustering using nature-inspired symbiotic organism search algorithm
A common attribute reduction form for information systems
Secure communications with an asymptotic secrecy model
Node-coupling clustering approaches for link prediction
An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data
Measuring satisfaction and power in influence based decision systems
MAGNet: Multi-scale Awareness and Global fusion Network for RGB-D salient object detection
Domain selection in transfer learning for reference evapotranspiration estimation
Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach
Scalable KDE-based top-n local outlier detection over large-scale data streams
Optimization of biomimetic heliostat field using heuristic optimization algorithms
Aggregating value systems for decision support
A hybrid deep-learning approach for complex biochemical named entity recognition
Superpixel-wise contrast exploration for salient object detection
A novel automated labelling algorithm for deep learning-based built-up areas extraction using nighttime lighting data
Confidence-based and sample-reweighted test-time adaptation
A self-adaptive hyper-heuristic based multi-objective optimisation approach for integrated supply chain scheduling problems
Enhancing learning algorithms to support data with short sequence features by automated feature discovery
Learning representations from heterogeneous network for sentiment classification of product reviews
Heterogeneity-aware pruning framework for personalized federated learning in remote sensing scene classification
Multi independent latent component extension of naive Bayes classifier
A class center based approach for missing value imputation
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection
KGMV-net: Knowledge-guided multi-view network for audio-visual dysarthria severity assessment
EMGE: Entities and Mentions Gradual Enhancement with semantics and connection modelling for document-level relation extraction
Enhanced review-based rating prediction by exploiting aside information and user influence
Enhancing collaborative recommendation performance by combining user preference and trust-distrust propagation in social networks
WSNet: A local-global consistent traffic density estimation method based on weakly supervised learning
Automatic construction of domain-specific sentiment lexicon based on constrained label propagation
Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation
Robust Pcomp classification using multi-view pairwise data with positive confidence priority
Feature selection in bankruptcy prediction
Federated conditional generative adversarial nets imputation method for air quality missing data
Transferable graph features-driven cross-domain rotating machinery fault diagnosis
Back-propagation algorithm with variable adaptive momentum
One-class collaborative filtering based on rating prediction and ranking prediction
Weighted linear loss twin support vector machine for large-scale classification
Deep learning-based feature engineering for stock price movement prediction
Data description: A general framework of information granules
An adaptive dimension level adjustment framework for differential evolution
Extensive networks would eliminate the demand for pricing formulas
Piecewise statistic approximation based similarity measure for time series
DPA-EI: Long-tailed classification by dual progressive augmentation from explicit and implicit perspectives
Robot docking with neural vision and reinforcement
Sparse signal reconstruction using decomposition algorithm
The Stochastic Augmented Lagrangian method for domain adaptation
Recommendation attack detection based on improved Meta Pseudo Labels
Incorporate opinion-towards for stance detection
Intelligent fault diagnosis of roller bearings with multivariable ensemble-based incremental support vector machine
OGCNet: Overlapped group convolution for deep convolutional neural networks
A neural model for type classification of entities for text
Meta-learning optimal parameter values in non-stationary environments
Bayesian-based preference prediction in bilateral multi-issue negotiation between intelligent agents
Diffusion model in modern detection: Advancing Deepfake techniques
A novel grey prediction model for seasonal time series
Two-stage routing with optimized guided search and greedy algorithm on proximity graph
Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks
Dual cuts for efficiency: Streamlining NAS with train-time pruning of supernet and search space
Cross-domain recommendation via knowledge distillation
Predicting essential proteins based on RNA-Seq, subcellular localization and GO annotation datasets
A distribution-based representation of Knowledge Quality
SParseQA: Sequential word reordering and parsing for answering complex natural language questions over knowledge graphs
Multi-modal supervised domain adaptation with a multi-level alignment strategy and consistent decision boundaries for cross-subject emotion recognition from EEG and eye movement signals
A new approach in development of distributed framework for automated software testing using agents
A novel optimization model based on fuzzy time series for short-term Air Quality Index forecasting
Combining Markov model and Prediction by Partial Matching compression technique for route and destination prediction
An immune algorithm for solving the optimization problem of locating the battery swapping stations
Neurosymbolic system profiling: A template-based approach
Can reputation migrate? On the propagation of reputation in multi-context communities
Progressive intra- and inter-modality relation learning for multimodal sentiment analysis
Data storage practices and query processing in XML databases: A survey
Binary Grey Wolf Optimizer with Mutation and Adaptive K-nearest Neighbour for Feature Selection in Parkinson's Disease Diagnosis
Hierarchical fuzzy situational networks for online decision-making: Application to telecommunication systems
SPRF: A semantic Pseudo-relevance Feedback enhancement for information retrieval via ConceptNet
Toward a dynamic tree-Mamba encoder for UAV tracking with vision-language
TDP: Two-dimensional perceptron for image recognition
Inferring the densest multi-profiled cross-community for a user
A linguistic decision support model for QoS priorities in networking
Engineering uncertain time for its practical integration in ontologies
Efficient inter partitioning of versatile video coding based on supervised contrastive learning
New reinforcement learning based on representation transfer for portfolio management
Modeling evidential grids using semantic context information for dynamic scene perception
Semi-supervised discriminative clustering with graph regularization
Edge Fusion Diffusion for Single Image Super-Resolution
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting
RRT*-enhanced long-horizon path planning for AUV adaptive sampling using a cost valley
Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only
Average-case consistency measurement and analysis of interval-valued reciprocal preference relations
Supporting image retrieval framework with rule base system
A fast algorithm for kernel 1-norm support vector machines
A knowledge-based experts' system for evaluation of digital supply chain readiness
Genetic-GNN: Evolutionary architecture search for Graph Neural Networks
Granularity knowledge-sharing supervised contrastive learning framework for long-tailed fault diagnosis of rotating machinery
FDNet: Focal Decomposed Network for efficient, robust and practical time series forecasting
Fast convex-hull vector machine for training on large-scale ncRNA data classification tasks
A novel integrated production-distribution planning model with conflict and coordination in a supply chain network
Simple Debiased Contrastive Learning for Sequential Recommendation
A rapidly converging artificial bee colony algorithm for portfolio optimization
A generative design framework for passive vibration absorbers using Lévy flight-based mixed-integer optimisation
Multi-attribute comprehensive evaluation of individual research output based on published research papers
RESKO: Repositioning drugs by using side effects and knowledge from ontologies
The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data
AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network
Consensus clustering based on constrained self-organizing map and improved Cop-Kmeans ensemble in intelligent decision support systems
Particle ranking: An Efficient Method for Multi-Objective Particle Swarm Optimization Feature Selection
Designing for scalability in a knowledge fusion system
Robust multiple kernel subspace clustering with block diagonal representation and low-rank consensus kernel
Cross-document event ordering through temporal, lexical and distributional knowledge
An accelerator for attribute reduction based on perspective of objects and attributes
GKA-GPT: Graphical knowledge aggregation for multiturn dialog generation
Granularity Fusion Transformer: Learning multi-granularity patterns for time-series forecasting
One-step Kernel Multi-view Subspace Clustering
Laplacian total margin support vector machine based on within-class scatter
Identification of uncertain nonlinear systems: Constructing belief rule-based models
Double-level View-correlation Multi-view Subspace Clustering
Wasserstein based transfer network for cross-domain sentiment classification
Uncertainty-aware pedestrian trajectory prediction via distributional diffusion
Single robot - Multiple human interaction via intelligent user interfaces
Introducing article numbering to Knowledge-Based Systems
Transfer learning for sparse variable selection in high-dimensional regression from quadratic measurement
Transactional distance in an undergraduate project-based systems modeling course
Dynamic coordination of ambulances for emergency medical assistance services
MAS-DGAT-Net: A dynamic graph attention network with multibranch feature extraction and staged fusion for EEG emotion recognition
A new computational method for acquiring effect knowledge to support product innovation
CVC: Further aligning LLMs via cross-view correction for time series forecasting
VDGCNeT: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model
Cost-effective CNNs-based prototypical networks for few-shot relation classification across domains
HCgNet: A hierarchical context-guided network for multi-object tracking
Aspect-based latent factor model by integrating ratings and reviews for recommender system
Brain tumor segmentation using optimized depth wise separable convolutional neural network with dense U-Net
GCDB-UNet: A novel robust cloud detection approach for remote sensing images
Representation learning for skeleton-based action recognition from a causal perspective
Reliability modeling and contrastive learning for unsupervised person re-identification
Learning word syntactic subcategorizations interactively
Detach and unite: A simple meta-transfer for few-shot learning
Heterogeneous graph contrastive learning for cold start cross-domain recommendation
Parameterized data-free knowledge distillation for heterogeneous federated learning
Multi-scale spatio-temporal feature adaptive aggregation for video-based Person Re-identification
Mining web logs to improve hit ratios of prefetching and caching
PredRANN: The spatiotemporal attention Convolution Recurrent Neural Network for precipitation nowcasting
Partial label learning via identifying outlier features
End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network
Measures of uncertainty based on Gaussian kernel for a fully fuzzy information system
Abnormal-region-aware Multi-modal Feature Fusion for medical report generation
NanBDOS: Adaptive and parameter-free borderline oversampling via natural neighbor search for class-imbalance learning
Consensus modeling with nonlinear utility and cost constraints: A case study
DGM-Flow: Appearance flow estimation for virtual try-on via dynamic graph matching
Towards an object-oriented logic framework for knowledge based systems
Methods for model-based reasoning within agent-based Ambient Intelligence applications
Penalized multiple distribution selection method for imbalanced data classification
A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction
Corporate relation extraction for the construction of knowledge-bases against tax fraud
Knowledge modelling for a generic refinement framework
Coping with noisy search experiences
An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage
A neural network to surrogate computational bone remodelling in the calcaneus
Fuzzy logic-based expert system for prediction of depth of cut in abrasive water jet machining process
ACDC: Online unsupervised cross-domain adaptation
Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on meta data
A branch-and-bound algorithm for minimizing the total weighted completion time on parallel identical machines with two competing agents
EBERT: A lightweight expression-enhanced large-scale pre-trained language model for mathematics education
SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features
Assessment model for perceived visual complexity of painting images
Enhancing text-based knowledge graph completion with zero-shot large language models: A focus on semantic enhancement
AIPT: Adaptive information perception for online multi-object tracking
A hybrid ensemble learning method for the identification of gang-related arson cases
Effective public service delivery supported by time-decayed Bayesian personalized ranking
A spectral clustering algorithm based on intuitionistic fuzzy information
A novel locust swarm algorithm for the joint replenishment problem considering multiple discounts simultaneously
A personalized clustering-based and reliable trust-aware QoS prediction approach for cloud service recommendation in cloud manufacturing
Enhanced visual data mining process for dynamic decision-making
SR4D: Dynamic scene super resolution from monocular videos
Open-ViTabQA: A novel benchmark for Vietnamese question answering on open domain wikipedia table
Locally weighted factorization machine with fuzzy partition for elderly readmission prediction
Cross-language article linking with different knowledge bases using bilingual topic model and translation features
Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation
Model-agnostic and diverse explanations for streaming rumour graphs
Domain phrase identification using atomic word formation in Chinese text
Logic tensor network with massive learned knowledge for aspect-based sentiment analysis
Preface Information technology support for creativity
A survey of approaches to decision making with intuitionistic fuzzy preference relations