yusuke1997/dblp-id-title huggingface dataset:
Concept drift detection based on decision distribution in inconsistent information system
Toward capturing heterogeneity for inferring diffusion networks: A mixed diffusion pattern model
Cooperative Bayesian optimization with hybrid grouping strategy and sample transfer for expensive large-scale black-box problems
Low-rank graph preserving discriminative dictionary learning for image recognition
Comprehensive relative importance analysis and its applications to high dimensional gene expression data analysis
Deep online cross-modal hashing by a co-training mechanism
Automatic Knowledge Graph matching via Self-adaptive Designed Genetic Programming
Graph embedding-based approach for detecting group shilling attacks in collaborative recommender systems
APRA: An approximate parallel recommendation algorithm for Big Data
The performance of priority rules for the decentralized resource-constrained multi-project scheduling
Method to assist the building and expression of subjective concepts and its application to design problems
Ameliorated equilibrium optimizer with application in smooth path planning oriented unmanned ground vehicle
Multi-hop path reasoning of temporal knowledge graphs based on generative adversarial imitation learning
TML-DA: Transfer metric learning based distribution alignment framework for domain class imbalanced classification
Robust orthogonal nonnegative matrix tri-factorization for data representation
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm
EpNet: Power lines foreign object detection with Edge Proposal Network and data composition
Defending against gradient inversion attacks in federated learning via statistical machine unlearning
An exploration of mutual information based on emotion-cause pair extraction
Variable selection in the prediction of business failure using genetic programming
Double relaxed broad learning system for image classification
Enhancing inductive knowledge graph completion with contextual relation topology learning
Heterophily learning and global-local dependencies enhanced multi-view representation learning for graph anomaly detection
Self configuring mobile agent-based intrusion detection using hybrid optimized with Deep LSTM
Knowledge-based clustering approach for data abstraction
A species-based flower pollination algorithm with increased selection pressure in abiotic local pollination and enhanced intensification
Tri-regularized nonnegative matrix tri-factorization for co-clustering
The Rotorcraft Pilot's Associate: design and evaluation of an intelligent user interface for cockpit information management
Partial classification and uncertainty estimation under subjective logic
Replica creation strategy based on quantum evolutionary algorithm in data gird
Towards an ontology-supported case-based reasoning approach for computer-aided tolerance specification
Towards regression testing and regression-free update for deep learning systems
Logic of design actions
Semi-supervised noise-resilient anomaly detection with feature autoencoder
Text augmentation for vision: Modality-preference aware few-shot learning
Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction
Combining weights with fuzziness for intelligent semantic web search
New results in modelling derived from Bayesian filtering
Face photo-sketch synthesis via intra-domain enhancement
Semantic search in the World News domain using automatically extracted metadata files
HiGT-Fuse: Hierarchical Graph-Transformer Fusion Framework for Self-Supervised Howling Detection and Filtering
Swarm intelligence approaches to estimate electricity energy demand in Turkey
A novel joint tracker based on occlusion detection
A comprehensive survey on domain adaptation for intelligent fault diagnosis
Building Multiversal Semantic Maps for Mobile Robot Operation
JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding
ElectroCardioGuard: Preventing patient misidentification in electrocardiogram databases through neural networks
SInC: Semantic approach and enhancement for relational data compression
GBFusion: Adaptive granular-Ball computing and multi-granularity feature perception for multi-Focus image fusion
Intuitionistic fuzzy recommender systems: An effective tool for medical diagnosis
Directory format system
Security similarity based trust in cyber space
Tensor multi-subspace learning for robust tensor-based multi-view clustering
Accelerator for multi-granularity attribute reduction
Bidirectional domain transfer knowledge distillation for catastrophic forgetting in federated learning with heterogeneous data
A parallel numerical method for solving optimal control problems based on whale optimization algorithm
WeakPolyp-SAM: Segment Anything Model-driven weakly-supervised polyp segmentation
Conducting feasibility studies for knowledge based systems
Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches
Credible, resilient, and scalable detection of software plagiarism using authority histograms
User identification for enhancing IP-TV recommendation
PPTD: Preserving personalized privacy in trajectory data publishing by sensitive attribute generalization and trajectory local suppression
Multiple empirical kernel learning with locality preserving constraint
Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation
Relative distances approach for multi-traveling salesmen problem
Efficient on-the-fly Web bot detection
Detecting bursts in sentiment-aware topics from social media
A conceptual model of knowledge-based time-tabling system
A robust multi-class AdaBoost algorithm for mislabeled noisy data
EDGE: Edge distillation and gap elimination for heterogeneous networks in 3D medical image segmentation
Deblur-aware Gaussian splatting simultaneous localization and mapping
A comparative study of machine learning methods for ordinal classification with absolute and relative information
AoSRNet: All-in-One Scene Recovery Networks via multi-knowledge integration
From concept drift to model degradation: An overview on performance-aware drift detectors
Cross-modal learning with prior visual relation knowledge
Robust multi-view discrete clustering with unified graph learning
Image all-in-one adverse weather removal via dynamic model weights generation
A vision transformer-based hybrid neural architecture for automated handwritten Bangla character recognition and braille conversion
MMOEA-SP: A multistage many-objective evolutionary algorithm based on sampling points
TI-MVD: A temporal interaction-enhanced model for malware variants detection
Fuzzy granular classification based on the principle of justifiable granularity
Ensemble-based feature selection and optimization-driven deep learning for attack detection in cloud computing
State estimation of singularly perturbed Semi-Markov jump coupled neural networks: A two-time-scale event-triggered approach
Parallel architectures for AI semantic network processing
Unsupervised classification for uncertain varying responses: The wisdom-in-the-crowd (WICRO) algorithm
Discovering statistically non-redundant subgroups
A computational simulation tool for training autistic reasoning about mental attitudes
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal
An embedded system for knowledge-based cost evaluation of molded parts
Learning with Hilbert-Schmidt independence criterion: A review and new perspectives
Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
Meta-learning with gradient norm arbitration for sample-aware few-shot learning
Advancing ovarian cancer outcomes with CTGAN-enhanced hybrid machine learning approach
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology
Gated recurrent unit with multilingual universal sentence encoder for Arabic aspect-based sentiment analysis
Matrix-based multi-granulation fusion approach for dynamic updating of knowledge in multi-source information
Generalized zero-shot action recognition through reservation-based gate and semantic-enhanced contrastive learning
Special issue: Knowledge-based neural networks
Probabilistic grammars for equation discovery
ID-HFL: Incentive-driven heterogeneous federated learning based on game theory and differential privacy
The adaptive neuro-fuzzy model for forecasting the domestic debt
Deep clustering by maximizing mutual information in variational auto-encoder
A model of integrated learning
Incremental critiquing
ROLEX-SP: Rules of lexical syntactic patterns for free text categorization
Kernelized Elastic Net Regularization based on Markov selective sampling
Consistency and diversity neural network multi-view multi-label learning
Robust coverless image steganography based on human pose estimation
Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data
Generating legal arguments
A two-individual based path-relinking algorithm for the satellite broadcast scheduling problem
Optimized interpretable generalized additive neural network-based human brain diagnosis using medical imaging
Semi-supervised two-phase familial analysis of Android malware with normalized graph embedding
A novel Bayes defect predictor based on information diffusion function
Feature selection based-on genetic algorithm for image annotation
Multi-label learning with label-specific feature reduction
SE-GSSL: Soft-Mask enhanced graph self-supervised learning with multi-aspect knowledge encoding and adaptive sample selection
A hierarchical GNN across semantic and topological domains for predicting circRNA-microRNA interactions
Boosted stochastic fuzzy granular hypersurface classifier
Few-Shot hyperspectral image classification with mamba and manifold convolution fusion network
Partial multi-label learning with mutual teaching
A progressive learning classifier based on dynamic differential weighted network for feature identification of brain network series
A method for collaborative recommendation using knowledge integration tools and hierarchical structure of user profiles
MICD: More intra-class diversity in few-shot text classification with many classes
Automatic channel pruning by neural network based on improved poplar optimisation algorithm
A clinical coding recommender system
Lorentz equivariant model for knowledge-enhanced hyperbolic collaborative filtering
Feature selection with limited bit depth mutual information for portable embedded systems
Application-oriented purely semantic precision and recall for ontology mapping evaluation
Hybrid query processing for personalized information retrieval on the Semantic Web
Learning classifier system with average reward reinforcement learning
ContReviews: A content-based recommendation system for updating Living Evidences in health care
Mining high-utility itemsets in dynamic profit databases
A novel hybrid model combining a fuzzy inference system and a deep learning method for short-term traffic flow prediction
Stream-based active learning with linear models
Adaptive Nonstationary Fuzzy Neural Network
Advancing multi-port container stowage efficiency: A novel DQN-LNS algorithmic solution
Eliminating backdoor attacks on Vision Kolmogorov-Arnold networks via fine-function pruning
TW-Co- k -means: Two-level weighted collaborative k -means for multi-view clustering
CD-BTMSE: A Concept Drift detection model based on Bidirectional Temporal Convolutional Network and Multi-Stacking Ensemble learning
A bi-objective optimization method to produce a near-optimal number of classifiers and increase diversity in Bagging
Foundation model-assisted interpretable vehicle behavior decision making
A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes
Recent advances in neuro-fuzzy system: A survey
Augmentation-aware self-supervised learning with conditioned projector
Non-isometric transforms in time series classification using DTW
Hybridised differential evolution and equilibrium optimiser with learning parameters for mechanical and aircraft wing design
Knowledge change rate-based attribute importance measure and its performance analysis
A domain generalized UAV tracking framework via frequency-aware learning and target-aligned data augmentation in complex environments
An effective intrusion detection framework based on SVM with feature augmentation
Incremental mining maximal frequent patterns from univariate uncertain data
A rough set model with ontologies for discovering maximal association rules in document collections
Fusing entropy measures for dynamic feature selection in incomplete approximation spaces
Multi-agent conflict resolution: a computational framework for an intelligent argumentation program
A graph based preordonnances theoretic supervised feature selection in high dimensional data
A globally enhanced general regression neural network for on-line multiple emissions prediction of utility boiler
Ensemble of neural networks with associative memory (ENNA) for estimating software development costs
Nonparametric bivariate copula estimation based on shape-restricted support vector regression
Code smell severity classification using machine learning techniques
Gradient estimation of information measures in deep learning
Zero-shot domain adaptation for natural language inference by projecting superficial words out
SSE4Rec: Sequential recommendation with subsequence extraction
A new iterated local search algorithm for the cyclic bandwidth problem
Attention holistic processing multi-channel graph transformer with graph residual connections for predicting lncRNA-Protein interactions
MoBA: Motion memory-augmented deblurring autoencoder for video anomaly detection
Experimenting with prototype system DLVK via different approach
Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads
Towards a framework for estimating system NFRs on behavioral models
Conditional generation model with dual-perspective feature fusion representation for multi-label classification
Large-margin feature selection for monotonic classification
Large scale distributed spatio-temporal reasoning using real-world knowledge graphs
Multi-issue negotiation with deep reinforcement learning
Kernel ridge regression using truncated newton method
Clayworks: Toward user-oriented software for collaborative modeling and simulation
Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm
Dynamic rule adjustment approach for optimizing belief rule-base expert system
A new approach and insightful financial diagnoses for the IT industry based on a hybrid MADM model
Automated detection for Retinopathy of Prematurity with knowledge distilling from multi-stream fusion network
A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical
EmoSenticSpace: A novel framework for affective common-sense reasoning
RBPR: A hybrid model for the new user cold start problem in recommender systems
T-norms or t-conorms? How to aggregate similarity degrees for plagiarism detection
Harnessing domain insights: A prompt knowledge tuning method for aspect-based sentiment analysis
Rough approximations based on intersection of indiscernibility, similarity and outranking relations
Multi-objective PSO based online feature selection for multi-label classification
Density decay graph-based density peak clustering
Towards latent context-aware recommendation systems
Fake review detection with label-consistent and hierarchical-relation-aware graph contrastive learning
Integrating query data for enhanced traffic forecasting: A Spatio-Temporal Graph Attention Convolution Network approach with delay modeling
Deep conditional adversarial subdomain adaptation network for unsupervised mechanical fault diagnosis
Situation assessment and prediction in intelligence domains
A survey for trust-aware recommender systems: A deep learning perspective
FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection
Multivariate decision trees with monotonicity constraints
Black-box domain adaptation for cross-domain on-device machinery fault diagnosis via hierarchical debiased self-supervised learning
An efficient knowledge-based algorithm for the flexible job shop scheduling problem
M3GAN: A masking strategy with a mutable filter for multidimensional anomaly detection
Concrete crack detection using lightweight attention feature fusion single shot multibox detector
Knowledge graph embedding by translating in time domain space for link prediction
Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification
HSFA: A novel firefly algorithm based on a hierarchical strategy
Toward sleep apnea detection with lightweight multi-scaled fusion network
UCD : Upper confidence bound for rooted directed acyclic graphs
Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism
Prompt-matching synthesis model for missing modalities in sentiment analysis
Cataract detection based on ocular B-ultrasound images by collaborative monitoring deep learning
Self-advising support vector machine
Trigonometric feature learning for RGBD and RGBT image salient object detection
Model-preserving transformations of databases for rule-based expert systems with Boolean-valued weights
Optimized Mixed-Order Relation-Aware Recurrent Neural Networks based CAD Model for Skin Cancer Detection and Classification
A hybrid approach to self-management in a pervasive service middleware
Hybrid Heat Transfer Search and Passing Vehicle Search optimizer for multi-objective structural optimization
A two-stage dynamic group decision making method for processing ordinal information
No-arbitrage determinant theorems on mean-reverting stock model in uncertain market
Hybrid time-aligned and context attention for time series prediction
A Mamba-advanced unsupervised cross-modality medical image segmentation via domain adaptation and task decomposition
Efficiently planning coherent visual discourse
UNGT: Ultrasound nasogastric tube dataset for medical image analysis
Event-triggered synchronization for delayed reaction-diffusion neural networks under hybrid deception attacks
IDSV-GCN: Integrating Dual Syntactic Views Graph Convolutional Network for aspect-based sentiment analysis
Cross-domain coreference modeling in dialogue state tracking with prompt learning
The evolutionary perspective of knowledge creation - A mathematical representation
Forgetful experience replay in hierarchical reinforcement learning from expert demonstrations
An advanced integrated expert system for wastewater treatment plants control: an addendum
Rationality-bounded adaptive learning in multi-agent dynamic games
Parallel deep prediction with covariance intersection fusion on non-stationary time series
Integration of graph clustering with ant colony optimization for feature selection
Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs
Proximal gradient nonconvex optimization algorithm for the slice-based ℓ0-constrained convolutional dictionary learning
Advancing multi-object tracking through occlusion-awareness and trajectory optimization
A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes
How to model mutually exclusive events based on independent causal pathways in Bayesian network models
Deep Effective k -mer representation learning for polyadenylation signal prediction via co-occurrence embedding
A Bayesian stochastic search method for discovering Markov boundaries
MLP-AIR: An effective MLP-based module for actor interaction relation learning in group activity recognition
Number-enhanced relational graph encoding with hierarchical tree decoding for numerical reasoning
Semiconcept and concept representations
CS-Net: Instance-aware cellular segmentation with hierarchical dimension-decomposed convolutions and slice-attentive learning
Container stowage pre-planning: using search to generate solutions, a case study
Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network
A federated compositional knowledge graph embedding for communication efficiency
Processes of knowledge and software
A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems
CDNA-CCS: Splitting and compression based chaotic-DNA cryptography framework for cloud computing security
TSPT: Two-Step Prompt Tuning for class-incremental novel class discovery
A group analysis framework for evaluating the relative importance of civil aviation safety performance indicators
Monotonic learning in the PAC framework: A new perspective
Boundary-guided distillation with uncertainty-driven temperature for incomplete multimodal learning
A neural network approach to predicting stock exchange movements using external factors
Self-organizing deep belief modular echo state network for time series prediction
Deep hyperbolic convolutional model for knowledge graph embedding
Context interchange: A lattice based approach
A clipping dual coordinate descent algorithm for solving support vector machines
Uncovering high-order cohesive structures: Efficient (k, g)-core computation and decomposition for large hypergraphs
An improved NSGA-III algorithm for feature selection used in intrusion detection
An efficient method for maximal erasable itemset mining in incremental databases
IEGQO-AOA: Information-Exchanged Gaussian Arithmetic Optimization Algorithm with Quasi-opposition learning
MRBalance: A framework for enhancing event causality identification in multi-agent debates via role assignment
A novel community detection algorithm based on simplification of complex networks
MaintnDist: Filter pruning via maintaining feature distribution
Deep Collaborative Embedding for information cascade prediction
Neural data-to-text generation with dynamic content planning
Uncertainty measurement for interval-valued decision systems based on extended conditional entropy
CRF-GCN: An effective syntactic dependency model for aspect-level sentiment analysis
Development of a generalized knowledge source structure for blackboard systems
PERCY: A post-hoc explanation-based score for logic rule dissemination consistency assessment in sentiment classification
Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial-Temporal Features
Research on data consistency detection method based on interactive matching under sampling background
The importance weighted continuous generalized ordered weighted averaging operator and its application to group decision making
Research on decision tree induction from self-map space based on web
Social network analysis for crime rate detection using Spizella swarm optimization based BiLSTM classifier
An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities
VQ-STE: Scene text erasing with mask refinement and vector-quantized texture dictionary
Improving RGB-D salient object detection by addressing inconsistent saliency problems
Methods for estimating lower-limb joint kinematics from six stride descriptors
A prioritization model for locating relief logistic centers using analytic hierarchy process with interval comparison matrix
Multi-view Representation Learning with Decoupled private and shared Propagation
Knowledge-based Dual External Attention Network for peptide detectability prediction
A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection
Tasks, errors and mental models: L P Goodstein, H B Andersen and S E Olsen (eds) Taylor & Francis (1988) £35, ISBN 0-85066-401-2, 342pp
Structured approximations as a basis for three-way decisions in rough set theory
Graph t-SNE multi-view autoencoder for joint clustering and completion of incomplete multi-view data