yusuke1997/dblp-id-title huggingface dataset:
Detection of sand dunes on Mars using a regular vine-based classification approach
A new algorithm for approximate pattern mining in multi-graph collections
Test-driving information theory-based compositional distributional semantics: A case study on Spanish song lyrics
HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation
Integrating signal pairing evaluation metrics with deep learning for wind power forecasting through coupled multiple modal decomposition and aggregation
Extracting method for fine-grained emotional features in videos
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing
A new approach combining tangent hyperbolic and logistic sigmoid neural networks to model and solve tumor growth dynamics
Plausible reasoning over large health datasets: A novel approach to data analytics leveraging semantics
A rule-based intelligent method for fault diagnosis of rotating machinery
Exploring the first-move balance point of Go-Moku based on reinforcement learning and Monte Carlo tree search
Local damage detection in rolling element bearings based on a single ensemble empirical mode decomposition
Dynamic sparse portfolio rebalancing model: A perspective of investors' behavior-related decisions
Optimization-inspired Cumulative Transmission Network for image compressive sensing
Projection support vector regression algorithms for data regression
Experience-based support for human-centered knowledge modeling
Knowledge-based image retrieval system
A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes
Learning a locality discriminating projection for classification
Individual Diversity Preference Aware Neural Collaborative Filtering
Mitigating overconfidence in unknown sample predictions: A confidence-enhanced one-versus-all network for open-set transfer fault diagnosis
Task assignment strategies for capacitated agents engaged in lifelong pickup and delivery tasks
Analysis of model-based ensemble learning for accurate diabetic retinopathy grading
Deep sparse representation network for feature learning of vibration signals and its application in gearbox fault diagnosis
Social bot detection using variational generative adversarial networks with hidden Markov models in Twitter network
Attention-aware scoring learning for person re-identification
Multi-attribute group decision making models under interval type-2 fuzzy environment
Target-background interaction modeling transformer for object tracking
Sparse risk estimation and consistency-regulated unsupervised framework for efficient medical image denoising
Enhanced Binary Black Hole algorithm for text feature selection on resources classification
IFDepth: Iterative fusion network for multi-frame self-supervised monocular depth estimation
Enhancing the security in IoT and IIoT networks: An intrusion detection scheme leveraging deep transfer learning
Collaborative topological filtering with multi-hop recurrent pathological aggregation
Knowledge graph completion with low-dimensional gated hierarchical hyperbolic embedding
Mitigating over-smoothing in Graph Neural Networks for node classification through Adaptive Early Embedding and Biased DropEdge procedures
LCFE-X: Pluggable Local Channel Feature Extraction model enhancement method for hyperspectral image classification
Learning hyperbolic attention-based embeddings for link prediction in knowledge graphs
Particle filtering methods for stochastic optimization with application to large-scale empirical risk minimization
Batch allocation for decomposition-based complex task crowdsourcing e-markets in social networks
Ambiguous games played by players with ambiguity aversion and minimax regret
Spatial-temporal electric load portrait method for multi-microgrids based on clustering-granulation-clustering
Token-based deep reinforcement learning for Heterogeneous VRP with Service Time Constraints
Deep metric learning for accurate protein secondary structure prediction
IIT-GAT: Instance-level image transformation via unsupervised generative attention networks with disentangled representations
Multi-Trusted Cross-Modal Information Bottleneck for 3D self-supervised representation learning
Archetype sub-ontology: Improving constraint-based clinical knowledge model in electronic health records
TAP: A personalized trust-aware QoS prediction approach for web service recommendation
Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm
An evolutionary path relinking approach for the quadratic multiple knapsack problem
Discovery of first-principle equations based on scale-type-based and data-driven reasoning
Trustworthy Layout Analysis Network: Fine-grained multi-scale tampering detection for complex layout personnel documentation images
On causal structural learning algorithms: Oracles' simulations and considerations
Multi-Head multimodal deep interest recommendation network
VLDeformer: Vision-Language Decomposed Transformer for fast cross-modal retrieval
LSTTN: A Long-Short Term Transformer-based spatiotemporal neural network for traffic flow forecasting
Leveraging LIME explainability and Gustafson-Kessel fuzzy clustering for resume grouping and text summarization
Multi-fidelity global optimization using a data-mining strategy for computationally intensive black-box problems
A text GAN framework for creative essay recommendation
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems
A wide interpretable Gaussian Takagi-Sugeno-Kang fuzzy classifier and its incremental learning
Towards integration of privacy enhancing technologies in explainable artificial intelligence
Interval type-2 fuzzy multi-attribute decision-making approaches for evaluating the service quality of Chinese commercial banks
A belief propagation-based method for task allocation in open and dynamic cloud environments
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
BP-MoE: Behavior Pattern-aware Mixture-of-Experts for Temporal Graph Representation Learning
TMBL: Transformer-based multimodal binding learning model for multimodal sentiment analysis
Multi-document summarization using closed patterns
Enhanced contrastive learning with multi-aspect information for recommender systems
An explainable multi-task similarity measure: Integrating accumulated local effects and weighted Fréchet distance
Expert systems '90 : SEAI Technical Publications
Forecasting the exchange rate with multiple linear regression and heavy ordered weighted average operators
Label noise analysis meets adversarial training: A defense against label poisoning in federated learning
Large language models enhanced graph neural architecture search for quadratic unconstrained binary optimization
Spatio-temporal representation learning enhanced speech emotion recognition with multi-head attention mechanisms
TJMN: Target-enhanced joint meta network with contrastive learning for cross-domain recommendation
Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M 3 JLBN) for gastric intestinal metaplasia subtype classification
Knowledge-enabled BERT for aspect-based sentiment analysis
Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction
Increasing naturalness of human-machine dialogue: The users' choices inference of options in machine-raised questions
Learning short-text semantic similarity with word embeddings and external knowledge sources
An intelligent recognition model for dynamic air traffic decision-making
Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification
Improving hierarchical semantic parsing with LLMs: Demonstration selection and chain-of-thought prompting via semantic fragment decoding
AutoMTNAS: Automated meta-reinforcement learning on graph tokenization for graph neural architecture search
An external attention-based feature ranker for large-scale feature selection
A Temporal-Semantic Interaction Network for multi-frame infrared small target detection
A bibliographical survey of constraint-based approaches to CAD, graphics, layout, visualization, and related topics
TGPO-WRHNN: Two-stage Grad-CAM-guided PMRS Optimization and weighted-residual hypergraph neural network for pneumonia detection
Ranking evaluation of institutions based on a Bayesian network having a latent variable
A linguistic aggregation operator with three kinds of weights for nuclear safeguards evaluation
Decentralized Contrastive Learning for generalized zero-shot image classification
Expert systems applications in integrated network management : E C Ericson, L Ericson and D Minoli (Eds)
Definite integrals of multiplicative intuitionistic fuzzy information in decision making
JSONDiscoverer: Visualizing the schema lurking behind JSON documents
Efficient complementary graph convolutional network without negative sampling for item recommendation
Modeling business representational activity online: A case study of a customer-centered business
Parallelism in logic: its potential for performance and program development : F Kurfess Vieweg, Germany (1991)
A rule-based machine vision system for fire detection in aircraft dry bays and engine compartments
An opposition-based differential evolution clustering algorithm for emotional preference and migratory behavior optimization
A deep unfolding network based on intrinsic image decomposition for pansharpening
Decoupled self-supervised label augmentation for fully-supervised image classification
Closed-loop supply chain network design under a fuzzy environment
Data mining and knowledge discovery in proton nuclear magnetic resonance ( 1 H-NMR) spectra using frequency to information transformation (FIT)
Interval type-2 fuzzy neural networks for multi-label classification
A novel sequential three-way decision model with autonomous error correction
CARBO: Clustering and rotation based oversampling for class imbalance learning
Cross-subject EEG linear domain adaption based on batch normalization and depthwise convolutional neural network
An expert system for the composition of formal Spanish poetry
Multi-perspective enhanced representation for effective session-based recommendation
VANILLA: Validated knowledge graph completion - A Normalization-based framework for Integrity, Link prediction, and Logical Accuracy
Detecting cognitive impairment in diabetics based on retinal photos by a deep learning method
Human-machine collaborative health estimation of industrial robot based on fuzzy self-attention network and manifold cluster
A diversity-aware incentive mechanism for cross-silo federated learning with budget constraint
4PL routing optimization under emergency conditions
A mixed integer linear programming support vector machine for cost-effective feature selection
Rough set theory based on two universal sets and its applications
Diff-ReColor: Rethinking image colorization with a generative diffusion model
DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection
A new approach to the bi-criteria multi-period fuzzy portfolio selection
Unified bi-encoder bispace-discriminator disentanglement for cross-domain echocardiography segmentation
Fast autoregressive tensor decomposition for online real-time traffic flow prediction
Harnessing code domain insights: Enhancing programming Knowledge Tracing with Large Language Models
KCM-Net: Kinematic continuity-aware multi-relational cross-attention interaction network for video-based human pose and mesh reconstruction
Annealing Temporal-Spatial Contrastive Learning for multi-view Online Action Detection
A time series continuous missing values imputation method based on generative adversarial networks
Mining the optimal class association rule set
A theoretical and empirical exploration of TileTrans for effective tile pruning
A multi-disciplinary review of knowledge acquisition methods: From human to autonomous eliciting agents
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses
An improved LSHADE-RSP algorithm with the Cauchy perturbation: iLSHADE-RSP
Multi-scale single-stage pose detection with adaptive sample training in the classroom scene
A novel Whale Optimization Algorithm integrated with Nelder-Mead simplex for multi-objective optimization problems
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
A robust density peaks clustering algorithm with density-sensitive similarity
Evolutionary multi-objective automatic clustering enhanced with quality metrics and ensemble strategy
Multi-relation graph convolutional network for Alzheimer's disease diagnosis using structural MRI
Identifying top persuaders in mixed trust networks for electronic marketing based on word-of-mouth
Mini-batch algorithms with online step size
Quaternion tensor train rank minimization with sparse regularization in a transformed domain for quaternion tensor completion
Probabilistic model for truth discovery with mean and median check framework
Nonparametric Bayesian transfer learning for robust cardiopulmonary diseases classification in X-ray images
An explainable fully attentional network for multivariate time-series forecasting
LEAC: An efficient library for clustering with evolutionary algorithms
Dual pattern-enhanced representations model for query-focused multi-document summarisation
Smart task support through proactive access to organizational memory
Information bottleneck-guided KNN contrastive hashing for unsupervised cross-modal retrieval
TCHFN: Multimodal sentiment analysis based on Text-Centric Hierarchical Fusion Network
Dynamic selection of the best base classifier in One versus One
Technical analysis strategy optimization using a machine learning approach in stock market indices
Temporal decomposition and attribute correlation differentiation at multiple scales: A graph imputation network for incomplete multivariate time series
Recompiling learning processes from event logs
Genetic rule induction at an intermediate level
Extending the superimposed codeword indexing scheme to handle incomplete information
Fuzzy relation equations and subsystems of fuzzy transition systems
Implementing a data mining solution for enhancing carpet manufacturing productivity
Considering representation diversity and prediction consistency for domain generalization semantic segmentation
Detection of semantically incorrect rules in knowledge-based systems
Dense depth distillation with out-of-distribution simulated images
AISE: Attending to Intent and Slots Explicitly for better spoken language understanding
Building a knowledge-efficient sanding advisor
Distributed dominance graph-based neural multi-objective evolutionary strategy for sponsored search real-time bidding
Optimization of integrated fuzzy decision tree and regression models for selection of oil spill response method in the Arctic
Feature selection using rough entropy-based uncertainty measures in incomplete decision systems
RectanglingGAN: Deep rectangling for stitched image via image inpainting
Evaluating user reputation of online rating systems by rating statistical patterns
Uncertainty-based contrastive prototype-matching network towards cross-domain fault diagnosis with small data
MGRank: A keyword extraction system based on multigraph GoW model and novel edge weighting procedure
Q-value-based experience replay in reinforcement learning
Seeded random walk for multi-view semi-supervised classification
Federated graph learning under expressiveness heterogeneity with personalized subgraph selection
Constructing the Lyee method with a method engineering approach
Adaptive Deep Metric Learning with harmonized loss and nearest proxy alignment for low-dimensional representation
Graph regularized compact low rank representation for subspace clustering
Knowledge-based performance-driven modeling of antenna structures
Community detection in complex networks with an ambiguous structure using central node based link prediction
Hierarchical text classification with enhanced graph encoding and dual-Natured text-label relationship
Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation
Rethinking samples selection for contrastive learning: Mining of potential samples
Efficient transformer with compressed-attention for stereo image super-resolution
TNE: A general time-aware network representation learning framework for temporal applications
Harmonized system code prediction of import and export commodities based on Hybrid Convolutional Neural Network with Auxiliary Network
Knowledge guided deep deterministic policy gradient
Learning conditional preference network from noisy samples using hypothesis testing
A multi-scale segmentation-to-classification network for tiny microaneurysm detection in fundus images
A multi-view graph neural network with subgraph variational autoencoder for class-Imbalanced node classification
Layer-constrained variational autoencoding kernel density estimation model for anomaly detection
Cross-regression for multi-view feature extraction
A keypoints-based feature extraction method for iris recognition under variable image quality conditions
Towards a granular computing approach based on Formal Concept Analysis for discovering periodicities in data
Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks
Detection of natural clusters via S-DBSCAN a Self-tuning version of DBSCAN
Frequency-driven deep learning network for image splicing forgery detection
Fundamental properties of intuitionistic fuzzy calculus
Online influence maximization in the absence of network structure
Discrete particle swarm optimization approach for cost sensitive attribute reduction
Computers and creativity support: knowledge, visualisation and collaboration
Hierarchical decoupling from global-to-structural dependency for unsupervised graph representation learning on noisy graphs
Bilateral discriminative autoencoder model orienting co-representation learning
A nonlocal superpatch-based reweighted low-rank representation method for hyperspectral unmixing
Automatic refinement of knowledge bases with fuzzy rules
Planning of proactive behaviors for human-robot cooperative tasks under uncertainty
CausalMedLM: Causal inference-augmented LLMs for high-accuracy disease prediction
Dynamic modelling with an integrated ecological knowledge-based system
Hybrid domain based data embedding using quantization index modulation and metaheuristic optimization
A weighted random survival forest
XML schema clustering with semantic and hierarchical similarity measures
Multi-UNet: An effective Multi-U convolutional networks for semantic segmentation
Mining user interest based on personality-aware hybrid filtering in social networks
Evolution of trust in the sharing economy with fixed provider and consumer roles under different host network structures
Multiobjective planning of indoor Wireless Local Area Networks using subpermutation-based hybrid algorithms
Ethics and privacy of artificial intelligence: Understandings from bibliometrics
Local perturbation of critical subgraph based social network structural privacy protection
Bucket Learning: Improving model quality through enhancing local patterns
Minmax Circular Sector Arc for External Plagiarism's Heuristic Retrieval stage
Efficient calibration of cost-efficient particulate matter sensors using machine learning and time-series alignment
MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation
3D mixed CNNs with edge-point feature learning
How friends affect user behaviors? An exploration of social relation analysis for recommendation
Generalized multigranulation double-quantitative decision-theoretic rough set
Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data
Multi-aspect self-supervised learning for heterogeneous information network
A hybrid term-term relations analysis approach for topic detection
Optimal subsampling for high-dimensional ridge regression
Novel binary encoding water cycle algorithm for solving Bayesian network structures learning problem
Improved deep clustering model based on semantic consistency for image clustering
Multimodality in meta-learning: A comprehensive survey
Deep reinforcement learning for job shop scheduling problems: A comprehensive literature review
WD2L: A novel approach for overcoming data imbalance in whole-body pose estimation
Improving adversarial transferability via adaptive ensemble attack with post-optimization
SEDyConv: Spatially enhanced multi-dimensional dynamic convolution for medical multi-organ segmentation in CTs
Adaptive systems: from intelligent tutoring to autonomous agents
When eigenfaces are combined with wavelets
A stochastic configuration network based on chaotic sparrow search algorithm
Multi-aspect-streaming tensor analysis
SSTG: An interpretable spatio-temporal Selective State-Space Model for multi-sensor data fusion in intelligent diagnosis
A semantic web based framework for the interoperability and exploitation of clinical models and EHR data
Optimal meso-granularity selection for classification based on Bayesian optimization
Aggregating preference ranking with fuzzy Data Envelopment Analysis
Artificial intelligence: implications for CIM : A Kusiak
Predicting the listing statuses of Chinese-listed companies using decision trees combined with an improved filter feature selection method
CompoCraft: An expert system for process selection in sustainable composites
Knowledge representation and reasoning for qualitative spatial change
Attention-disentangled re-ID network for unsupervised domain adaptive person re-identification
Data mining based intelligent analysis of threatening e-mail
Renewable quantile regression for streaming datasets
Vertical-horizontal latent space with iterative memory review network for multi-class anomaly detection
Spatiotemporal multi-view trend-aware network for traffic flow prediction
2D convolutional stochastic configuration networks
Intelligent cost-effective winter road maintenance by predicting road surface temperature using machine learning techniques
3D perception arithmetic of random environment based on RGB enhanced point cloud fusion
Prime: Privacy-preserving video anomaly detection via Motion Exemplar guidance
An efficient Gaussian mixture model and its application to neural networks
PaDE: An enhanced Differential Evolution algorithm with novel control parameter adaptation schemes for numerical optimization
Natural scene text detection and recognition based on saturation-incorporated multi-channel MSER
Topic model with incremental vocabulary based on Belief Propagation
Leveraging unstructured call log data for customer churn prediction
Median evidential c-means algorithm and its application to community detection
Extracting data models from background knowledge graphs
SalesExplorer: Exploring sales opportunities from white-space customers in the enterprise market
Enhanced entity-relationship modeling with description logic
Average Restrain Divider of Evaluation Value (ARDEV) in data stream algorithm for big data prediction
Industrial safety perception among post-graduate engineering students
A fusion of decomposed fuzzy based decision-making and metaheuristic optimization system for sustainable planning of urban transport
Enhancing creativity through reorganising mental space concealed in a research notes stack
Developing an expert system based on association rules and predicate logic for earthquake prediction
Advanced acoustic footstep-based person identification dataset and method using multimodal feature fusion
Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation
Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models