yusuke1997/dblp-id-title huggingface dataset:
Learning and inference in knowledge-based probabilistic model for medical diagnosis
Hybrid firefly algorithm with grouping attraction for constrained optimization problem
IteRank: An iterative network-oriented approach to neighbor-based collaborative ranking
Dynamic domain information modulation algorithm for multi-domain sentiment analysis
RAICL-DSC: Retrieval-Augmented In-Context Learning for Dialogue State Correction
Similarity-based constraint score for feature selection
Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure
Support vector-based algorithms with weighted dynamic time warping kernel function for time series classification
Multiscale Spectral Augmentation for Graph Contrastive Learning for fMRI analysis to diagnose psychiatric disease
A dynamic ensemble learning based data mining framework for medical imbalanced big data
Categorization of web pages - Performance enhancement to search engine
Effective truth discovery under local differential privacy by leveraging noise-aware probabilistic estimation and fusion
Unified medical image segmentation by learning from uncertainty in an end-to-end manner
Automated heartbeat classification based on deep neural network with multiple input layers
To add AI, or not to add AI?
An approach to providing a user of a "social folksonomy" with recommendations of similar users and potentially interesting resources
Physical-priors-guided DehazeFormer
A survey on deep learning based knowledge tracing
Discriminative subprofile-specific representations for author profiling in social media
Simple and deep graph attention networks
Feature separation and double causal comparison loss for visible and infrared person re-identification
Incremental extraction of bespoke association rules
Information aggregation in intelligent systems: An application oriented approach
Collaborative learning using service-oriented architecture: A framework design
Gated multi-attention representation in reinforcement learning
Contrastive transformer based domain adaptation for multi-source cross-domain sentiment classification
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation
Stochastic human motion prediction using a quantized conditional diffusion model
Mining distinct and contiguous sequential patterns from large vehicle trajectories
Predicting customer churn through interpersonal influence
Construction of interval-valued fuzzy preference relations from ignorance functions and fuzzy preference relations. Application to decision making
Temporal knowledge graph forecasting query based on global-local historical information
Imbalanced multiclass classification with active learning in strip rolling process
Local neighborhood rough set
Variable space hidden Markov model for topic detection and analysis
Feature extraction and validation within a flexible manufacturing protocol
Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks
A tree-network model for mining short message services seed users and its empirical analysis
A hybrid neural network for predicting Days on Market a measure of liquidity in real estate industry
PHIS: A system for scouting potential hubs and for favoring their "growth" in a Social Internetworking Scenario
Enhancing user sequence representation with cross-view collaborative learning for depression detection on Sina Weibo
Cooperative coevolutionary instance selection for multilabel problems
KNN weighted reduced universum twin SVM for class imbalance learning
Towards improving decision tree induction by combining split evaluation measures
A supervised learning approach to dynamic weighted fusion in multi-source ordered decision systems
Research on dynamic obstacle avoidance for industrial AGVs using decay model-based multi-objective Q-learning
An integrated framework for securing semi-structured health records
Mitigating covariance overfitting in out-of-distribution detection through intrinsic parameter learning
APACS: a multi-agent system with repository support
Anomaly detection for key performance indicators by fusing self-supervised spatio-temporal graph attention networks
LbpRIPooling: A novel rotation-invariant pooling method for CNNs
Unlocking ETF price forecasting: Exploring the interconnections with statistical dependence-based graphs and xAI techniques
A reinforcement learning and population-based discrete state transition algorithm for solving the multi-UAV task allocation problem with complex constraints
Intuitionistic fuzzy logics as tools for evaluation of Data Mining processes
Support image set machine: Jointly learning representation and classifier for image set classification
FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference
Artificial immune system training algorithm for a dendritic neuron model
Fast discrete factorization machine for personalized item recommendation
BEPO: A novel binary emperor penguin optimizer for automatic feature selection
RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding
A multi-instance ensemble learning model based on concept lattice
Aggregating consistent endgame knowledge in Chinese Chess
Saving time and memory in computational intelligence system with machine unification and task spooling
Graph-free kernel discriminant analysis for noise-resilient label spreading
Convergence analysis of asynchronous stochastic recursive gradient algorithms
Train-movement situation recognition for safety justification using moving-horizon TBM-based multisensor data fusion
Explainability-based graph augmentation for out-of-distribution robustness in digital pathology
Multiobjecitve structural optimization using improved heat transfer search
A stock price prediction method based on meta-learning and variational mode decomposition
Multitarget domain adaptation with transferable hyperbolic prototypes for intelligent fault diagnosis
On the use of irreducible elements for reducing multi-adjoint concept lattices
Multi-view Locality Low-rank Embedding for Dimension Reduction
Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP
Blockchain-based micro-credentialing system in higher education institutions: Systematic literature review
Event-triggered fixed-time distributed observers for general linear systems
MAHKT: Knowledge tracing with multi-association heterogeneous graph embedding based on knowledge transfer
ConvUNeXt: An efficient convolution neural network for medical image segmentation
An optimization model for rescuer assignments under an uncertain environment by using Dempster-Shafer theory
Unsupervised dimensionality reduction for very large datasets: Are we going to the right direction?
Inverse projection group sparse representation for tumor classification: A low rank variation dictionary approach
Sample adaptive aero-engine gas-path performance prognostic model modeling method
Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis
Interaction and feedback in a spoken language system: a theoretical framework
MOGA-based fuzzy data mining with taxonomy
A novel reversible data hiding method in encrypted images using efficient parametric binary tree labeling
Dynamic composition of Web services using efficient planners in large-scale service repository
MPEKDyL: Efficient multi-partial empirical kernel dynamic learning
PIPES: A heuristic search model for pipeline schedule generation
People detection and articulated pose estimation framework for crowded scenes
A two-grade approach to ranking interval data
PheoSeg: A 3D transfer learning framework for accurate abdominal CT pheochromocytoma segmentation and surgical grade prediction
Reasoning about attitudes of complaining customers
Learning cognitive embedding using signed knowledge interaction graph
MDMD options discovery for accelerating exploration in sparse-reward domains
Group-based Latent Dirichlet Allocation (Group-LDA): Effective audience detection for books in online social media
MBCFNet: A Multimodal Brain-Computer Fusion Network for human intention recognition
A new graph-based clustering method with dual-feature regularization and Laplacian rank constraint
Fine-grained multimodal molecular pretraining via prompt learning
Fault tolerating multi-tenant service-based systems with dynamic quality
Preference evolution with deceptive interactions and heterogeneous trust in bounded confidence model: A simulation analysis
A deep learning approach for semi-supervised community detection in Online Social Networks
JTA: Joint networks with tailored attention for speech depression detection
Application of a regionalized knowledge-based model for classifying the impacts of nitrogen, sulfur, and organic acids on lakewater chemistry
A manifold learning framework for both clustering and classification
DHRL4HKG: A Dual-Hypergraph Representation Learning for Hyper-Relational Knowledge Graphs
Feature similarity rank-based information distillation network for lightweight image superresolution
mLANet: An efficient recurrent neural network for long-term time series forecasting
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise
Improving user recommendation by extracting social topics and interest topics of users in uni-directional social networks
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem
Matrix-pattern-oriented classifier with boundary projection discrimination
A consensus reaching model for hesitant information with different preference structures
HeTROPY: Explainable learning diagnostics via heterogeneous maximum-entropy and multi-spatial knowledge representation
Task-oriented attributed network embedding by multi-view features
VAE-CapsNet: A common emotion information extractor for cross-subject emotion recognition
Stop filtering: Multi-view attribute-enhanced dialogue learning
A hybrid method using experiment design and grey relational analysis for multiple criteria decision making problems
Fast transfer Gaussian process regression with large-scale sources
Enhancing data exploration with a branching history of user operations
Echo state network and classical statistical techniques for time series forecasting: A review
The BORM methodology: a third-generation fully object-oriented methodology
Feature subset selection using multimodal multiobjective differential evolution
Knowledge-based turbomachinery design system via a deep neural network and multi-output Gaussian process
Intelligent fault diagnosis under small sample size conditions via Bidirectional InfoMax GAN with unsupervised representation learning
An improved memetic approach for protein structure prediction incorporating maximal hydrophobic core estimation concept
Design, AI and designers: a challenge
CaMo: Capturing the modularity by end-to-end models for Symbolic Regression
A practical knowledge-based ranking approach to identify critical circuit breakers in large power systems
From domain-invariant channel adaptation to prototype consistency learning: A novel framework for single domain generalization fault diagnosis
An evidential dynamical model to predict the interference effect of categorization on decision making results
AIARec: Adaptive intent-aware augmentation for graph contrastive learning recommendation method
Imbalance accuracy metric for model selection in multi-class imbalance classification problems
One cannot not interact
Formula-E race strategy development using distributed policy gradient reinforcement learning
Dynamical mode recognition of coupled flame oscillators by supervised and unsupervised learning approaches
Semi-supervised learning with missing values imputation
PHandler: An expert system for a scalable software requirements prioritization process
Structuring collaborative information-seeking dialogues
DATa: Domain Adaptation-aided deep Table detection using visual-lexical representations
An ensemble learning-based multi-population evolutionary framework for multi-scenario multi-objective optimization problems
An incremental retrieval mechanism for case-based electronic fault diagnosis
An empirical analysis of ontology-based query expansion for learning resource searches using MERLOT and the Gene ontology
Two-dimensional bandwidth minimization problem: Exact and heuristic approaches
Reappraisal of the use of conditional probability in early expert systems
Robust collaborative clustering approach with adaptive local structure learning
Facilitating heuristic reasoning by utilizing knowledge graph and natural language processing
Distance metric learning for ordinal classification based on triplet constraints
Confused and disentangled distribution alignment for unsupervised universal adaptive object detection
Supervised Semantic-Embedded Hashing for Multimedia Retrieval
Incremental Fisher linear discriminant based on data denoising
Online learning with kernel regularized least mean square algorithms
BKC-Net: Bi-Knowledge Contrastive Learning for renal tumor diagnosis on 3D CT images
Dual-level semantic collaboration and inference network for medical image report generation
A novel Bayesian classification for uncertain data
Back-end manager: an interface between a knowledge-based front end and its application subsystems
A cluster aggregation-based personalized federated learning framework for wind turbine gearbox fault diagnosis under model heterogeneity
Introducing the DM-P approach for analysing the performances of real-time clinical decision support systems
Deep reinforcement learning for portfolio management
Adaptive knowledge distillation and integration for weakly supervised referring expression comprehension
KJ editor: a card-handling tool for creative work support
BYDSEX: Binary Young's double-slit experiment optimizer with adaptive crossover for feature selection: Investigating performance issues of network intrusion detection
An agent-based system to build project memories during engineering projects
Knowledge structure driven prototype learning and verification for fact checking
Efficient approach of sliding window-based high average-utility pattern mining with list structures
SCIFNET: Stance community identification of topic persons using friendship network analysis
Zero-shot fine-grained entity typing in information security based on ontology
FL-OTCSEnc: Towards secure federated learning with deep compressed sensing
Collective disambiguation in entity linking based on topic coherence in semantic graphs
A compound framework for sports results prediction: A football case study
Augmented Score-CAM: High resolution visual interpretations for deep neural networks
Pixel-wise triplet learning for enhancing boundary discrimination in medical image segmentation
Constrained NMF-based semi-supervised learning for social media spammer detection
Self-organizing fuzzy inference ensemble system for big streaming data classification
A novel artificial visual system for motion direction detection in color images
Soft prompt tuning for augmenting dense retrieval with large language models
Novel trajectory privacy-preserving method based on prefix tree using differential privacy
CIRG-SL: Commonsense Inductive Relation Graph framework with Soft Labels for Empathetic Response Generation
Slicing knowledge-based systems: techniques and applications
SL method for computing a near-optimal solution using linear and non-linear programming in cost-based hypothetical reasoning
A linguistic belief-based evidential reasoning approach and its application in aiding lung cancer diagnosis
A sampling method based on distributed learning automata for solving stochastic shortest path problem
DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation
RoPE: Defending against backdoor attacks in federated learning systems
Aspect-level sentiment-aware mining of inter-review relations for detecting fake reviews
A note on "Rough set theory based on two universal sets and its applications" Knowledge-Based Systems 23 (2010) 110-115
Competitive many-task differential evolution with reinforcement learning and meta-knowledge transfer
Transformer-based probabilistic forecasting of daily hotel demand using web search behavior
Decomposing spatio-temporal heterogeneity: Matrix-informed ensemble learning for interpretable prediction
DeepIFSAC: Deep imputation of missing values using feature and sample attention within contrastive framework
Maximal size constraint community search over bipartite graphs
Semi-supervised equilibrium K-means for imbalanced data clustering
Mapping rule-based systems into neural architecture
Compact real-valued teaching-learning based optimization with the applications to neural network training
A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems
Self-labeling in multivariate causality and quantification for adaptive machine learning
Constraint handling technique based on Lebesgue measure for constrained multiobjective particle swarm optimization algorithm
Leveraging large visual models for enhanced object detection: An improved SAM-YOLOv5 model
An efficient method for mining top-k multi-level high utility itemsets
Intelligent fault diagnosis via unsupervised domain adaptation: The role of intermediate domain construction
Privacy preserving data mining: A noise addition framework using a novel clustering technique
Self-representative kernel concept factorization
Enhancing recommendation systems performance using highly-effective similarity measures
OSASformer: A transformer-based model for OSAS screening via multi-source representation fusion
Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples
Semi-supervised multi-label feature selection with adaptive structure learning and manifold learning
A multi-agent monitoring and diagnostic system for TCP/IP-based network and its coordination
Integrated fuzzy condition assessment and decision support for water pipe mains
Multi-knowledge enhanced graph convolution for learning resource recommendation
Advanced binary encoded matrix representation for rule base verification
Directed graph-based multi-agent coalitional decision making
Automated object-oriented reusable component identification
Enhancing feature interaction for improved generalization in few-shot metal surface defect segmentation
From benchmarks to interpretability: A holistic survey of deep learning for time series classification
Lightweight multi-scale residual networks with attention for image super-resolution
Discriminative active learning for domain adaptation
Ontology languages for the semantic web: A never completely updated review
Improved K-means algorithm based on density Canopy
Detecting shilling attacks in recommender systems based on analysis of user rating behavior
New margin-based subsampling iterative technique in modified random forests for classification
Actionable strategies in three-way decisions
Progressive Supervision via Label Decomposition: An long-term and large-scale wireless traffic forecasting method
Double-level adversarial domain adaptation network for intelligent fault diagnosis
Location privacy-preserving k nearest neighbor query under user's preference
Spectral co-clustering ensemble
Deception detection on social media: A source-based perspective
A multi-level fusion based decision support system for academic collaborator recommendation
Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problem
CELAN: An efficient layer aggregation network based on the attention mechanism and large-kernel architecture for small-object detection tasks
Accelerating subgraph matching by anchored relationship on labeled graph
Cross-view temporal graph contrastive learning for session-based recommendation
Improved Kepler Optimization Algorithm for enhanced feature selection in liver disease classification
High-order fuzzy-neuro expert system for time series forecasting
A dual-modality deep learning approach for fine-grained sentiment analysis using speech and text
Deep concept subspace embedding for multi-view clustering
Multi-component transfer metric learning for handling unrelated source domain samples
M-EDEM: A MNN-based Empirical Decomposition Ensemble Method for improved time series forecasting
A closed-loop architecture with knowledge-of-results feedback for neural-symbolic planning
ANID-SEoKELM: Adaptive network intrusion detection based on selective ensemble of kernel ELMs with random features
Fuzzy relations between Dempster-Shafer belief structures
A new user similarity model to improve the accuracy of collaborative filtering
Diversity optimization for recommendation using improved cover tree
A three-way density peak clustering method based on evidence theory
GRA-Net: Global receptive attention network for surface defect detection
HGCT: Enhancing temporal knowledge graph reasoning through extrapolated historical fact extraction
Optimizing fertilizer recommendations in precision agriculture: A novel defuzzification approach with adaptive intelligent optimization
Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning
DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement
Thyroid lesion classification in 242 patient population using Gabor transform features from high resolution ultrasound images
DFUSegNet: Boundary-aware hierarchical attentive fusion network with adaptive preprocessing for diabetic foot ulcer segmentation
Hierarchical BERT with an adaptive fine-tuning strategy for document classification
Shape-based outlier detection in multivariate functional data
Estimating user behavior toward detecting anomalous ratings in rating systems
Hypergraph-based CLIP hashing for unsupervised cross-modal retrieval
Joint metric and feature representation learning for unsupervised domain adaptation
Multi-layer boosting sparse convolutional model for generalized nuclear segmentation from histopathology images
VOS: A new outlier detection model using virtual graph
Imprecise Bayesian optimization
Visual Question Answering via Combining Inferential Attention and Semantic Space Mapping
A Sketch-texture Retrieval Framework using Perceptual Similarity
A machine learning framework for quantifying in-game space-control efficiency in football
MP-OWA: The most preferred OWA operator
End-to-end multi-task reinforcement learning-based UAV swarm communication attack detection and area coverage
TPM-EViT: Tri-probability map-enhanced vision transformer framework for UAV object detection
ℓ-DARTS: Light-weight differentiable architecture search with robustness enhancement strategy
AOCBLS: A novel active and online learning system for ECG arrhythmia classification with less labeled samples
Interpretable interval type-2 fuzzy predicates for data clustering: A new automatic generation method based on self-organizing maps
Interaction-aware vehicle trajectory prediction using spatial-temporal dynamic graph neural network
Robust compressed sensing MRI based on combined nonconvex regularization
Community-based influence maximization in social networks under a competitive linear threshold model
Dynamic multicast routing algorithm for delay and delay variation-bounded Steiner tree problem
A Repair-based approach for stochastic quadratic multiple knapsack problem
GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service
Learning to construct a solution for UAV path planning problem with positioning error correction
MLDA: A tool for analyzing multi-label datasets
Developing a knowledge-based system for complex geometrical product specification (GPS) data manipulation
A Bayesian regularization neural network procedure to solve the language learning system
Evaluation of the decision performance of the decision rule set from an ordered decision table
Enhanced magnetic resonance imaging feature extraction for precise brain tumor classification using dual deep convolutional networks