yusuke1997/dblp-id-title huggingface dataset:
Unsupervised discriminative projection based on contrastive learning
Transformer-based highlights extraction from scientific papers
Semi-supervised locally discriminant projection for classification and recognition
Enhancing leadership-based metaheuristics using reinforcement learning: A case study in grey wolf optimizer
MöbiusE: Knowledge Graph Embedding on Möbius Ring
Ponzi scheme detection via oversampling-based Long Short-Term Memory for smart contracts
DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images
Probabilistic ontology based activity recognition in smart homes using Markov Logic Network
Secure and incentivized federated learning for resilient telemedicine diagnostics
Risk, gap and strength: key concepts in knowledge management
Multivariate time series anomaly detection with heterogeneous-aware channel independence and global-local channel dependence
Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech
CUOM: A causal unbiased optimization method for federated domain generalization
Robust transfer learning based on Geometric Mean Metric Learning
Cross-knowledge-graph entity alignment via relation prediction
Policy-enhanced ANFIS model to counter SOAP-related attacks
Rumor detection in Arabic tweets using semi-supervised and unsupervised expectation-maximization
Beyond trivial edges: A fractional approach to cohesive subgraph detection in hypergraphs
Dynamic graph neural network-based fraud detectors against collaborative fraudsters
Doubly constrained offline reinforcement learning for learning path recommendation
Real-world blind image super-resolution with mixed and probabilistic scheme based synthetic degradation pipeline
HDA2L: Hierarchical Domain-Augmented Adaptive Learning for sketch-based 3D shape retrieval
Enhancing visual reinforcement learning with State-Action Representation
Multi-label classification with Missing Labels using Label Correlation and Robust Structural Learning
Spatial memory-augmented visual navigation based on hierarchical deep reinforcement learning in unknown environments
Ad-hoc explanation for time series classification
RASNet: Recurrent aggregation neural network for safe and efficient drug recommendation
EA-LSTM: Evolutionary attention-based LSTM for time series prediction
Global fusion network for remote sensing object detection
Density clustering hypersphere-based self-adaptively oversampling algorithm for imbalanced datasets
Two-criteria method for comparing real-valued and interval-valued intuitionistic fuzzy values
Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison
A structural model of end-user computing competency and user performance
Takagi-Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm
VABDC-Net: A framework for Visual-Caption Sentiment Recognition via spatio-depth visual attention and bi-directional caption processing
DeepRank: Learning to rank with neural networks for recommendation
SMAP: Similarity-based matrix factorization framework for inferring miRNA-disease association
PTrustE: A high-accuracy knowledge graph noise detection method based on path trustworthiness and triple embedding
Efficient Representation Learning for Generalized Category Discovery
Multi-view clustering with constructed bipartite graph in embedding space
Attribute mapping and autoencoder neural network based matrix factorization initialization for recommendation systems
Adaptive temporal feature modeling for visual tracking via cross-channel learning
DUNet: A deformable network for retinal vessel segmentation
DSKmeans: A new kmeans-type approach to discriminative subspace clustering
Estimating the impact of domain-specific news sentiment on financial assets
Multimodal prompting and masking strategy for video-grounded dialogue
Is multi-level data enhancement helpful for knowledge graph? A new perspective on multimodal fusion
Cross-domain pedestrian trajectory prediction via behavioral pattern-aware multi-instance GCN
Augmented decoding method using semantic diverse beam search for language generation model
Representing temporal knowledge in conceptual graphs
Motif-based graph attentional neural network for web service recommendation
Finding time series discord based on bit representation clustering
Multi-MCCR: Multiple models regularization for semi-supervised text classification with few labels
Multistage assignment optimization for emergency rescue teams in the disaster chain
A robust multiobjective Harris' Hawks Optimization algorithm for the binary classification problem
Knowledge reduction in formal fuzzy contexts
Nonconformity of cooperators promotes the emergence of pure altruism in tag-based multi-agent networked systems
Community search for multiple nodes on attribute graphs
Learning to rank complex network node based on the self-supervised graph convolution model
Graph-augmented contrastive clustering for time series data
Knowledge graph embedding with the special orthogonal group in quaternion space for link prediction
Aspect-based sentiment analysis with gated alternate neural network
Subspace learning-based graph regularized feature selection
Fairness in machine learning with tractable models
Toward semantic data imputation for a dengue dataset
MultiFatorial evolutionary algorithm with nodedepth encoding for inter-domain path computation under node-defined domain uniqueness constraint
The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers
CLIP-SDMG:CLIP knowledge distillation based on semantic decoupling and mask generation
Corrigendum to "Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning" [Knowledge-Based Systems 296 (2024) 111860]
AFCMS-Net: Adaptive feature coupling and multi-level supervision network for effective image forgery localization
Improving performance of tensor-based context-aware recommenders using Bias Tensor Factorization with context feature auto-encoding
A comparative study of multigranulation rough sets and concept lattices via rule acquisition
Dynamic traffic network representation model for improving the prediction performance of passenger flow for mass rapid transit
Dynamic dual consistency distillation for imbalanced facial attribute editing
Outlier-robust multi-view clustering for uncertain data
Es98
Semantic Environment Atlas for Object-Goal Navigation
Periodic Attention-based Stacked Sequence to Sequence framework for long-term travel time prediction
Personal price aware multi-seller recommender system: Evidence from eBay
A BPSO-based method for high-utility itemset mining without minimum utility threshold
Structured discriminant analysis dictionary learning for pattern classification
New results on synchronization for second-order fuzzy memristive neural networks with time-varying and infinite distributed delays
A relation context oriented approach to identify strong ties in social networks
Multiple-class multidimensional knapsack optimisation problem and its solution approaches
Learning word dependencies in text by means of a deep recurrent belief network
An entropy measure definition for finite interval-valued hesitant fuzzy sets
A priori trust inference with context-aware stereotypical deep learning
VisualRS : Java framework for visualization of recommender systems information
Open set label noise learning with robust sample selection and margin-guided module
Learning regular expressions to template-based FAQ retrieval systems
Privacy-preserving trust management method based on blockchain for cross-domain industrial IoT
Partial reduction algorithms for fuzzy relation systems
Scene graph generation with award-punishment strategy
Progressive learning in cross-modal cross-scale fusion transformer for visible-infrared video-based person reidentification
Link prediction in multiplex networks using a novel multiple-attribute decision-making approach
Exploration of actual sky polarization patterns: From influencing factor analyses to polarized light-aided navigation
Parallel search-and-learn techniques and graph coloring
Feature interval learning algorithms for classification
DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender
Competition policy for technological innovation in an era of knowledge-based economy
Closeness Preference - A new interestingness measure for sequential rules mining
A lightweight weakly supervised learning segmentation algorithm for imbalanced image based on rotation density peaks
Integrating intrinsic information: A novel open set domain adaptation network for cross-domain fault diagnosis with multiple unknown faults
An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting
An efficient L2-norm regularized least-squares temporal difference learning algorithm
Privacy preservation in deep reinforcement learning: A training perspective
From one graph to many: Ensemble transduction for content-based database retrieval
An evolutionary scheme for decision tree construction
Protein secondary structure prediction by using deep learning method
End-to-end hard constrained text generation via incrementally predicting segments
O3R: Ontology-based mechanism for a human-centered environment targeted at the analysis of navigation patterns
Movie-based representation of reduction operations in numerical computing
Optimal feature extraction methods for classification methods and their applications to biometric recognition
Set-theoretic equation solver based on a truth-maintained architecture
An improved Dragonfly Algorithm for feature selection
Mask-guided generative adversarial network for MRI-based CT synthesis
Coherence-Enhanced language representation learning for sequential Recommendations
Unified finite-volume physics informed neural networks to solve the heterogeneous partial differential equations
A Cooperative Ant Colony Optimization-Genetic Algorithm approach for construction of energy demand forecasting knowledge-based expert systems
Motor imagery classification via stacking-based Takagi-Sugeno-Kang fuzzy classifier ensemble
Structured cases in case-based reasoning - re-using and adapting cases for time-tabling problems
Granularity measures and complexity measures of partition-based granular structures
An adaptive algorithm for scheduling parallel jobs in meteorological Cloud
Image generation from text with entity information fusion
Learning Visual Clue for UWB-based multi-person pose estimation
Structure-embedded ghosting artifact suppression network for high dynamic range image reconstruction
Representative co-location pattern post-mining based on maximal row instances representation model
A social network analysis trust-consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations
UC-SFDA: Source-free domain adaptation via uncertainty prediction and evidence-based contrastive learning
An image NSCT-HMT model based on copula entropy multivariate Gaussian scale mixtures
A reversible data hiding scheme for encrypted images with pixel difference encoding
A novel stochastic neural network framework for modeling and simulation of within-host Chikungunya virus transmission with latency
A new framework for the verification of service trust behaviors
Generating automatic summaries with an indicator and decomposition-based hybrid evolutionary approach
Query suggestion with diversification and personalization
HandNet: Occlusion-robust 3D hand mesh reconstruction with prior information
A robust variational autoencoder using beta divergence
Cross-database attack of different coding-based palmprint templates
An efficient adaptive fuzzy inference system for complex and high dimensional regression problems in linguistic fuzzy modelling
Fortune favors the invariant: Enhancing GNNs' generalizability with Invariant Graph Learning
Temporal expert finding through generalized time topic modeling
Incorporating global multiplicative decomposition and local statistical information for brain tissue segmentation and bias field estimation
Competitive and complementary influence maximization in social network: A follower's perspective
Behavioral intention formation in knowledge sharing: Examining the roles of KMS quality, KMS self-efficacy, and organizational climate
A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection
SMGCL: Semi-supervised Multi-view Graph Contrastive Learning
A framework of constraint-based modeling for cooperative decision systems
Modeling relationships in three-way conflict analysis with subsethood measures
CL&CD: Contrastive Learning and Cluster Description for Zero-Shot Relation Extraction
Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings
Mathematical structure model for Word-Based Program
Adaptive local structure learning for document co-clustering
Neural network approach for cholera dynamics: Integrating deterministic and stochastic insights
A comprehensive multi-fidelity surrogate framework based on Gaussian process for datasets with heterogeneous responses
A knowledge model for the development of a framework for hypnogram construction
A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems
Two credit scoring models based on dual strategy ensemble trees
A novel particle swarm optimization trained support vector machine for automatic sense-through-foliage target recognition system
A matrix completion bootstrap method for estimating scale-free network degree distribution
Duplex adversarial domain discriminative network for cross-domain partial transfer fault diagnosis
CiteNet: Cross-modal incongruity perception network for multimodal sentiment prediction
Applying automatic text-based detection of deceptive language to police reports: Extracting behavioral patterns from a multi-step classification model to understand how we lie to the police
DISCON: an expert system for the analysis of differing site conditions claims
A framework to build accurate Convolutional Neural Network models for melanoma diagnosis
SympGAN: A systematic knowledge integration system for symptom-gene associations network
Ontology extraction from relational database: Concept hierarchy as background knowledge
MOMRFO: Multi-objective Manta ray foraging optimizer for handling engineering design problems
An approach to evaluate the methods of determining experts' objective weights based on evolutionary game theory
Model identification and Q-matrix incremental inference in cognitive diagnosis
Structure identification of Bayesian classifiers based on GMDH
ELMGAN: A GAN-based efficient lightweight multi-scale-feature-fusion multi-task model
Explainability in supply chain operational risk management: A systematic literature review
Locally informed gravitational search algorithm
Seq2Emoji: A hybrid sequence generation model for short text emoji prediction
Multi-step forecasting for big data time series based on ensemble learning
A light-weight Web-at-a-Glance system for intelligent information retrieval
Classification with test costs and background knowledge
Multi-domain fake news detection method based on generative adversarial network and graph network
Heterogeneous knowledge representation integrating connectionist and symbolic computation
Bi-objective feature selection for discriminant analysis in two-class classification
An improved approach for estimating social POI boundaries with textual attributes on social media
HPM-GMN: Hierarchical Pooling Multi-level Graph Matching Network
Cognitive-based knowledge learning framework for recommendation
A syntax-enhanced parameter generation network for multi-source cross-lingual event extraction
Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble
A spatio-temporal graph neural network for fall prediction with inertial sensors
A biology-inspired, data mining framework for extracting patterns in sexual cyberbullying data
DLAN: A dual attention network for effective land cover classification in remote sensing
FedMDD: Multi-deliberation based calibration for federated long-tailed learning
Structured guided diffusion models for industrial defect image generation
Discriminative Streaming Network Embedding
A filter model for feature subset selection based on genetic algorithm
Feature reduction causal network (FRCN): A novel approach for analyzing coupling relationships in radar system
Incorporating expert prior in Bayesian optimisation via space warping
Knowledge distillation via instance-level sequence learning
Cross-sensor contrastive learning-based pre-training for machinery fault diagnosis under sample-limited conditions
A new general nearest neighbor classification based on the mutual neighborhood information
Towards the derivation of verbal content relations from patent claims using deep syntactic structures
Multi-granularity hierarchical contrastive learning between foreground and background for semi-supervised video action detection
An incremental approach for attribute reduction based on knowledge granularity
An effective and efficient differential evolution algorithm for the integrated stochastic joint replenishment and delivery model
SCoRE: Streamlined corpus-based relation extraction using multi-label contrastive learning and Bayesian kNN
Distantly supervised relation extraction with KB-enhanced reconstructed latent iterative graph networks
PulseNet: Multi-task learning-based non-contact pulse condition diagnosis using multi-scale fusion and transformer
Gradient-guided channel masking for cross-domain few-shot learning
CANet: Comprehensive Attention Network for video-based action recognition
Kinematic modelling and closed-loop control of a novel soft continuum robot
Entropy-based fuzzy support vector machine for imbalanced datasets
A dual-stream framework guided by adaptive Gaussian maps for interactive image segmentation
Adaptive intelligent autonomous system using artificial somatic markers and Big Five personality traits
Collision course detection for personal watercrafts using models based on recurrent neural networks
On securing online registration protocols: Formal verification of a new proposal
Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear
DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition
Tensor-based multi-view clustering with consistency exploration and diversity regularization
InDReCT: Intra-domain dual reconstruction for cross-domain transfer in camouflaged object detection
Concept space connected to knowledge processing for supporting creative design
Bidirectional loss function for Label Enhancement and distribution learning
Contextual sentiment embeddings via bi-directional GRU language model
A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains
A musical system for emotional expression
Distributed multi-label feature selection using individual mutual information measures
Infrared pedestrian segmentation algorithm based on the two-dimensional Kaniadakis entropy thresholding
Meta Bi-classifier Gradient Discrepancy for noisy and universal domain adaptation in intelligent fault diagnosis
Executing SQL queries over encrypted character strings in the Database-As-Service model
Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks
New design goal of a classifier: Global and local structural risk minimization
CaSe4SR: Using category sequence graph to augment session-based recommendation
GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game
Building interpretable models for business process prediction using shared and specialised attention mechanisms
Dynamic penalty adaptive matrix machine for the intelligent detection of unbalanced faults in roller bearing
Localization and saturation of degradation space for weakly-supervised real-world super-resolution
Automatic classification of personal video recordings based on audiovisual features
Non-negative multi-label feature selection with dynamic graph constraints
Enhancing land cover classification via deep ensemble network
Application of adaptive network based fuzzy inference system method in economic welfare
Characterization of bio-chemical signals by inductive logic programming
A novel framework for detecting social bots with deep neural networks and active learning
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples
FedStack: Personalized activity monitoring using stacked federated learning
Neural network algorithm with transfer learning and dropout for using a UAV to search the lost target in motion
Multiple templates transformer for visual object tracking
GFedKG: GNN-based federated embedding model for knowledge graph completion
Deep clustering framework review using multicriteria evaluation
Backtracking search algorithm with specular reflection learning for global optimization
Improving unsupervised image clustering with spatial consistency
An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem
Three-dimensional implicit degradation estimation for real-world image super-resolution under spatially variant degradation
Coarse-to-fine sparse self-attention for vehicle re-identification
Dynamic graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting
A multi-task transfer learning method with dictionary learning
Extending electronic coordination mechanisms using argumentation: the case of task allocation
Decision-making and multi-objectivization for cost sensitive robust optimization over time
EIAASG: Emotional Intensive Adaptive Aspect-Specific GCN for sentiment classification
Facilitating formal specification acquisition by using recursive functions on context-free languages
DDIR: Domain-Disentangled Invariant Representation learning for tailored predictions
Collaborative optimization for whole slide image classification
Dual-decoding branch contrastive augmentation for image manipulation localization
Parallel structural learning of Bayesian networks: Iterative divide and conquer algorithm based on structural fusion
DPCA: Dynamic multi-prototype cross-attention for change detection unsupervised domain adaptation of remote sensing images
Physics-informed neural networks prediction approach for knowledge dissemination model considering knowledge media
Uncertainty measures of Neighborhood System-based rough sets
A multi-task learning approach for improving travel recommendation with keywords generation
Fast hyperparameter tuning using Bayesian optimization with directional derivatives
BookKD: A novel knowledge distillation for reducing distillation costs by decoupling knowledge generation and learning
Regularized discriminative broad learning system for image classification
Automated labeling and online evaluation for self-paced movement detection BCI
Spatio-temporal Pattern discovery in sensor data: A multivalued decision systems approach
A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models
Game theory based emotional evolution analysis for chinese online reviews
Pseudo-label enhancement for weakly supervised object detection using self-supervised vision transformer
A federated and transfer learning based approach for households load forecasting
Development of an AI framework using neural process continuous reinforcement learning to optimize highly volatile financial portfolios
Neural control system for a swarm of autonomous underwater vehicles