yusuke1997/dblp-id-title huggingface dataset:
MUSEDA: Multilingual Unsupervised and Supervised Embedding for Domain Adaption
Supervised remote sensing image segmentation using boosted convolutional neural networks
Knowledge acquisition mechanisms for a logical knowledge base including hypotheses
IFTrans: A few-shot classification method for consumer fraud detection in social sensing
Nearest neighbor regression in the presence of bad hubs
An intelligent information retrieval agent
K-size partial reduct: Positive region optimization for attribute reduction
Construction of time series causal network based on partial rank correlation
Knowledge-based data generation
From one attack domain to another: Contrastive transfer learning with siamese networks for APT detection
A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity
Objectness scan for efficient vision Mamba
A lightweight acquisition of expert rules for interoperable clinical decision support systems
Decoupled spatial-temporal predicting model for weakly supervised action localization
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI
TCCL-Net: Transformer-Convolution Collaborative Learning Network for Omnidirectional Image Super-Resolution
A Novel Smell Agent Optimization (SAO): An extensive CEC study and engineering application
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
A Trustworthy Human-Machine framework for collective decision making in Food-Energy-Water management: The role of trust sensitivity
Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting
Kernel compositional embedding and its application in linguistic structured data classification
A many-objective evolutionary algorithm based on dominance and decomposition with reference point adaptation
Topological interpretations of fuzzy subsets. A unified approach for fuzzy thresholding algorithms
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments
Weak transitivity of interval-valued fuzzy relations
Using adaptation knowledge to retrieve and adapt design cases
Towards robust graph-level anomaly detection via counterfactual augmentation
A novel temporal recommendation method based on user query topic evolution
A neural network computational procedure for the novel designed singular fifth order nonlinear system of multi-pantograph differential equations
Infusing internalized knowledge of language models into hybrid prompts for knowledgeable dialogue generation
DRLA: Dimensionality ranking in learning automata and its application on designing analog active filters
Ensemble-based overlapping community detection using disjoint community structures
CGC-GS: Cross geometric cues constrained Gaussian splatting
Directed Lobish-based explainable feature engineering model with TTPat and CWINCA for EEG artifact classification
In recognition of Professor Hamido Fujita on his retirement as Editor-in-Chief
Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems
Improved prior selection using semantics in maximum a posteriori for few-shot learning
A decision support system for detecting serial crimes
Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system
SEDNN: Shared and enhanced deep neural network model for cross-prompt automated essay scoring
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
LC3Net: Ladder context correlation complementary network for salient object detection
Intrusion detection system based on multi scale deep bidirectional gated recurrent neural network for securing IoT
A hybrid biogeography-based optimization for the fuzzy flexible job-shop scheduling problem
D-CFPR: D numbers extended consistent fuzzy preference relations
Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances
High utility drift detection in quantitative data streams
Cooperative path planning optimization for multiple UAVs with communication constraints
MobyDeep: A lightweight CNN architecture to configure models for text classification
Identification of dynamic protein complexes based on fruit fly optimization algorithm
Kernel-based composite control chart for nonlinear conditionally heteroscedastic time series
A decision support system for grain harvesting, storage, and distribution logistics
Enhancing decision-making in windows PE malware classification during dataset shifts with uncertainty estimation
From words to visuals: Bridging text and visual insights using MetA-MARC framework for enhanced scholarly article categorization
A distance correlation-based Kriging modeling method for high-dimensional problems
Psychomotor skills assessment in medical training based on virtual reality using a Weighted Possibilistic approach
IntelliBot: A Dialogue-based chatbot for the insurance industry
Creating CREATE queries with multi-task deep neural networks
Ranking on user-item heterogeneous graph for Ecommerce next basket recommendations
Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform
Improving PageRank using sports results modeling
Backbone-based Dynamic Spatio-Temporal Graph Neural Network for epidemic forecasting
Finding "interesting" trends in social networks using frequent pattern mining and self organizing maps
An end-to-end multimodal 3D CNN framework with multi-level features for the prediction of mild cognitive impairment
Dynamic-Aware and Static Context Network for large-scale 3D place recognition
A generalization of the power aggregation operators for linguistic environment and its application in group decision making
Item-based relevance modelling of recommendations for getting rid of long tail products
GFN: A novel joint entity and relation extraction model with redundancy and denoising strategies
Artificial bee colony algorithm with adaptive covariance matrix for hearing loss detection
Eliciting user preferences through a guided design personalization process
Granular structure-based incremental updating for multi-label classification
Topological and semantic contrastive graph clustering by Ricci curvature augmentation and hypergraph fusion
Finding key attribute subset in dataset for outlier detection
Guiding data-driven design ideation by knowledge distance
Consensus reaching model in the complex and dynamic MAGDM problem
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data
ALDANER: Active Learning based Data Augmentation for Named Entity Recognition
Four-player GroupGAN for weak expression recognition via latent expression magnification
Deep sparse representation driven network for compressive imaging
Fast multi-class recognition of piecewise regular objects based on sequential three-way decisions and granular computing
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme
Data leakage detection algorithm based on task sequences and probabilities
Revisiting the GreCon algorithm for Boolean matrix factorization
An effective metaheuristic with a differential flight strategy for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
CNN-based image recognition for topology optimization
An attitudinal consensus degree to control the feedback mechanism in group decision making with different adjustment cost
Efficient algorithms for mining closed and maximal high utility itemsets
Extensible and displaceable hyperdisk based classifier for gear fault intelligent diagnosis
Hierarchical fuzzy logic based approach for object tracking
A semiotic engineering approach to user interface design
A new data generation approach with modified Wasserstein auto-encoder for rotating machinery fault diagnosis with limited fault data
A multi-methodological collaborative simulation for inter-organizational supply chain networks
HyperLAC: Hypergraph-based Large-scale Alert Classification with spatial-temporal context enhancement
An improved differential evolution algorithm based on basis vector type and its application in fringe projection 3D imaging
Speech emotion recognition using amplitude modulation parameters and a combined feature selection procedure
A lattice-theoretic model of three-way conflict analysis
Fast and robust for texture-less feature registration via adaptive heterogeneous kernels
Introducing diminutive causal structure into graph representation learning
Disentangled variational auto-encoder for multimodal fusion performance analysis in multimodal sentiment analysis
An efficient negative selection algorithm with further training for anomaly detection
Federated low-rank tensor projections for sequential recommendation
Elucidating spatiotemporal chromatin dynamics with multi-stage differential variations from Hi-C
Utilizing large language models for integrating document-level contextual semantic into pseudo-relevance feedback
Metric-based L-fuzzy rough sets: Approximation operators and definable sets
Heterogeneous graph neural networks with denoising for graph embeddings
Secrecy by interpretation functions
Dual-stream autoencoder for channel-level multi-scale feature extraction in hyperspectral unmixing
A semantic framework for noise addition with nominal data
Social image refinement and annotation via weakly-supervised variational auto-encoder
Fast infrared and visible image fusion with structural decomposition
Towards open domain-specific recognition using Quad-Channel Self-Attention Reciprocal Point Learning and Autoencoder
A two-fold feedback mechanism to support consensus-reaching in social network group decision-making
DSFMamba: Dual-state fusion mamba for long-short term motion-adaptive streaming perception in autonomous driving
Knowledge management through multi-perspective modelling: representing and distributing organizational memory
A new decision support system for knowledge management in archaeological activities"
Relation classification via knowledge graph enhanced transformer encoder
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques
A multimodal stepwise-coordinating framework for pedestrian trajectory prediction
TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection
Multiple representation contrastive self-supervised learning for pulmonary nodule detection✰
Robust and explainable identification of logical fallacies in natural language arguments
Automated essay evaluation with semantic analysis
Minimally overfitted learners: A general framework for ensemble learning
Lightweight completion with high-order semantic attributes for heterogeneous sparse attribute graph learning
Better Together: Data-Free Multi-Student Coevolved Distillation
Opinion-aware information diffusion model based on multivariate marked Hawkes process
FLMAAcBD: Defending against backdoors in Federated Learning via Model Anomalous Activation Behavior Detection
A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival
Revisiting the numerical feature embeddings structure in neural network-based tabular modelling
Relational concept enhanced prototypical network for incremental few-shot relation classification
Semi-supervised two phase test sample sparse representation classifier
Redundancy reduction penalty term of loss function in deep neural network
Towards the generalization of time series classification: A feature-level style transfer and multi-source transfer learning perspective
IFM: Integrating and fine-tuning adversarial examples of recommendation system under multiple models to enhance their transferability
A discrepancy-aware self-distillation method for multi-modal glioma grading
Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge
DuCGRN: A dual context-aware model for Gene Regulatory Network prediction from ScRNA-seq data
Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning
Which is better? Taxonomy induction with learning the optimal structure via contrastive learning
Building knowledge-grounded dialogue systems with graph-based semantic modelling
Schema matching based on position of attribute in query statement
Automatic image annotation via compact graph based semi-supervised learning
A fuzzy adaptive resonance theory inspired overlapping community detection method for online social networks
Boosting domain generalization by domain-aware knowledge distillation
An evidential reasoning approach based on risk attitude and criterion reliability
Multiple instance learning for credit risk assessment with transaction data
An anomaly detection framework for time series data: An interval-based approach
High-low frequency dynamic interactive fusion network for multivariate time series forecasting
A novel semantic smoothing kernel for text classification with class-based weighting
Self-supervised generative adversarial learning with conditional cyclical constraints towards missing traffic data imputation
Usage profiling from mobile applications: A case study of online activity for Australian primary schools
Formalising optimal feature weight setting in case based diagnosis as linear programming problems
Evaluating recommendation and search in the labor market
RGB-Angle-Wheel: A new data augmentation method for deep learning models
How can knowledge-based systems solve large-scale problems?: model-based decomposition and problem solving
An intelligent hybridization of ARIMA with machine learning models for time series forecasting
Distributivity equations and Mayor's aggregation operators
Deep density-based image clustering
ZCR-aided neurocomputing: A study with applications
Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets
Gravitational fixed radius nearest neighbor for imbalanced problem
UniRecSys: A unified framework for personalized, group, package, and package-to-group recommendations
Clustering of noised and heterogeneous multi-view data with graph learning and projection decomposition
A multi-agent approach for planning activities in decentralized electricity markets
A FKPCA-GWO WDBiLSTM classifier for intrusion detection system in cloud environments
Decomposed adversarial domain generalization
Transforming decoder-only models into encoder-only models with improved understanding capabilities
Combination of unreliable evidence sources in intuitionistic fuzzy MCDM framework
Adaptive initialization LSHADE algorithm enhanced with gradient-based repair for real-world constrained optimization
A new improved fruit fly optimization algorithm IAFOA and its application to solve engineering optimization problems
Identifying motifs for evaluating open knowledge extraction on the Web
Beyond protection: Unveiling neural network copyright trading
Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction
An explainable ensemble feedforward method with Gaussian convolutional filter
Approximate high utility itemset mining in noisy environments
A neural network-based iterative heuristic algorithm for the polynomial robust knapsack problem
A complex network analysis approach to bankruptcy prediction using company relational information-based drivers
Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis
Matrix factorization for recommendation with explicit and implicit feedback
Maximizing discrimination capability of knowledge distillation with energy function
MUNPE:Multi-view uncorrelated neighborhood preserving embedding for unsupervised feature extraction
Duplex adversarial networks for multiple-source domain adaptation
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
An interpretable CNN-based model for mass classification in mammography
PP-Former: Exploring purified intrinsic normal prototypes for industrial anomaly detection
Developing a marketing decision model using a knowledge-based system
A multi-objective discrete particle swarm optimization method for particle routing in distributed particle filters
A general reduction algorithm for relation decision systems and its applications
Perceived individual fairness with a molecular representation for medicine recommendations
A Chinese time ontology for the Semantic Web
Corrigendum to "Dynamic opposite learning enhanced teaching-learning-based optimization" [Knowl.-Based Syst. 188 (2020) 104966]
MDPM: Modulating domain-specific prompt memory for multi-domain traffic flow prediction with transformers
Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems
COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making
Expert-level diagnosis of pediatric posterior fossa tumors via consistency calibration
Discovering original motifs with different lengths from time series
Adversarial decoupling domain generalization network for cross-scene hyperspectral image classification
The creation and management of organizational knowledge
A mobile knowledge management decision support system for automatically conducting an electronic business
Unpaired font family synthesis using conditional generative adversarial networks
Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation
Multi-scale pseudo labeling for unsupervised deep edge detection
Mining significant trend sequences in dynamic attributed graphs
Optimal manifold neighborhood and kernel width for robust non-linear dimensionality reduction
Rotation invariant texture classification using extended wavelet channel combining and LL channel filter bank
A probabilistic approach to mitigate composition attacks on privacy in non-coordinated environments
Wind power prediction in new stations based on knowledge of existing Stations: A cluster based multi source domain adaptation approach
Predicting missing pairwise preferences from similarity features in group decision making
HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning
Text-Guided parameter-Efficient fine-Tuning: A decoupled framework applicable to pre-Trained vision models
Development of granular models through the design of a granular output spaces
Data-driven interpretation of dimensions in an embedding language model based on a reference knowledge graph
Robust label compression for multi-label classification
End-to-end deep learning for reverse driving trajectory of autonomous bulldozer
Detecting shilling attacks in social recommender systems based on time series analysis and trust features
A trust-based game theoretical model for Web services collaboration
Towards visual emotion analysis via Multi-Perspective Prompt Learning with Residual-Enhanced Adapter
Robust label propagation based on prior-guided cross domain data augmentation for few-shot unsupervised domain adaptation
Cost-sensitive rough set: A multi-granulation approach
Combine labeled and unlabeled data for immune detector training with label propagation
Practical and high-quality partitioning algorithm for large-scale and time-evolving graphs
Unveiling the potential of long-range dependence with mask-guided structure learning for hypergraph
A large-scale hyperspectral dataset for flower classification
PRPN: Progressive region prediction network for natural scene text detection
A new feature selection algorithm based on binomial hypothesis testing for spam filtering
Multitask Pointer Network for multi-representational parsing
Mapping the knowledge frontiers and evolution of decision making based on agent-based modeling
A hyper-heuristic for improving the initial population of whale optimization algorithm
Assembly makespan estimation using features extracted by a topic model
A dynamic group decision making process for high number of alternatives using hesitant Fuzzy Ontologies and sentiment analysis
Mining cost-effective patterns in event logs
Robust online rain removal for surveillance videos with dynamic rains
Deep learning event detector from long-term signal variation for seismic activity warning out of Schumann resonance
Intelligent skin cancer detection using enhanced particle swarm optimization
Segmentation for regions of interest in radiotherapy by self-supervised learning
Autonomous obstacle avoidance and target tracking of UAV: Transformer for observation sequence in reinforcement learning
A deeper graph neural network for recommender systems
Meta-learning triplet contrast network for few-shot text classification
Fast independent component analysis algorithm with a simple closed-form solution
Building efficient and effective OpenQA systems for low-resource languages
An approach to XBRL interoperability based on Ant Colony Optimization algorithm
A multi-context representation approach with multi-task learning for object counting
Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs
EnSSNet: An advanced ensemble self-supervised learning framework with mini batch-graph convolutional network and deep curriculum learning for robust PolSAR image classification
Centralized vs. distributed feature selection methods based on data complexity measures
Memristor-based Bayesian spiking neural network for IBD diagnosis
Continuous temporal network embedding by modeling neighborhood propagation process
Feature space approximation for kernel-based supervised learning
Denoising diffusion wavelet models for zero-shot medical image translation
TAU: Transferable Attention U-Net for optic disc and cup segmentation
Context-enhanced framework for medical image report generation using multimodal contexts
Personalized location recommendation by fusing sentimental and spatial context
Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information
Interactive convolutional learning for visual tracking
Twitter user profiling based on text and community mining for market analysis
Online updating belief-rule-base using Bayesian estimation
Improving short text classification by learning vector representations of both words and hidden topics
A source free robust domain adaptation approach with pseudo-labels uncertainty estimation for rolling bearing fault diagnosis under limited sample conditions
Two-stage Unidirectional Fusion Network for RGBT tracking
Single image depth estimation based on sculpture strategy
Bitboard knowledge base system and elegant search architectures for Connect6
Stochastic cubic-regularized policy gradient method
Meta-learning framework with updating information flow for enhancing inductive prediction
Stochastic Fractal Search: A powerful metaheuristic algorithm
A unified reduction algorithm based on invariant matrices for decision tables
KGVQL: A knowledge graph visual query language with bidirectional transformations
InferPy: Probabilistic modeling with Tensorflow made easy
POCKET: Pruning random convolution kernels for time series classification from a feature selection perspective
Probabilistic matrix factorization with personalized differential privacy
Using mutually validated memories of experts for case-based knowledge systems
Scalable semantic-enhanced supervised hashing for cross-modal retrieval
Ant colony optimization with a new exploratory heuristic information approach for open shop scheduling problem
Cross-domain polarity classification using a knowledge-enhanced meta-classifier
GCS-Net: A universal AI-generated visual content detection method based on CLIP
A fine-grained scene retrieval model for narrative images based on multi-view feature fusion and SC-fused re-ranking