yusuke1997/dblp-id-title huggingface dataset:
A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism
Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow
A novel parallel framework for scatter search
Recognition of opinion leaders coalitions in online social network using game theory
Influence maximization in social networks under Deterministic Linear Threshold Model
Event-triggered bipartite synchronization of coupled multi-order fractional neural networks
Classification of multivariate time series using locality preserving projections
Hyperspectral video object tracking with cross-modal spectral complementary and memory prompt network
Adaptive multi-objective service composition reconfiguration approach considering dynamic practical constraints in cloud manufacturing
Deep transfer learning for conditional shift in regression
Adaptive Spatio-temporal Graph Neural Network for traffic forecasting
Automatic Decentralized Behavior Tree Synthesis and Execution for Coordination of Intelligent Vehicles
Query-aware multi-scale proposal network for weakly supervised temporal sentence grounding in videos
Multi-strategy adaptable ant colony optimization algorithm and its application in robot path planning
Machine learning based decision making for time varying systems: Parameter estimation and performance optimization
MapReduce based parallel attribute reduction in Incomplete Decision Systems
Genetic algorithms in feature and instance selection
Conglomeration of deep neural network and quantum learning for object detection: Status quo review
Word Sense Disambiguation: A comprehensive knowledge exploitation framework
Simulating real profiles for shilling attacks: A generative approach
Dual contrastive learning with behavior pattern modeling for session-based recommendation
Fast and Robust Unsupervised Dimensionality Reduction with Adaptive Bipartite Graphs
Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
Adaptive Concept Resolution for document representation and its applications in text mining
Rule-based schema evolution in object-oriented databases
Contelog: A declarative language for modeling and reasoning with contextual knowledge
Batch Bayesian optimization using multi-scale search
TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis
Enhancing transferability and discriminability simultaneously for unsupervised domain adaptation
IBL-AE: An interpretable base learning autoencoder for intelligent fault diagnosis of rotating machinery
Clustered linear regression
Disentanglement-inspired single-source domain-generalization network for cross-scene hyperspectral image classification
A multi-objective linear threshold influence spread model solved by swarm intelligence-based methods
A generalized fuzzy ID3 algorithm using generalized information entropy
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries
Multiview feature augmented neural network for knowledge graph embedding
CTIUFuse: A CNN-Transformer-based iterative feature universal fusion algorithm for multimodal images
Distributed agents model for intrusion detection based on AIS
Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network
Particle swarm optimization with an enhanced learning strategy and crossover operator
Modelling contextual constraints in probabilistic relaxation for multi-class semi-supervised learning
A novel model for chaotic complex time series with large of data forecasting
Experimental evaluation of intelligent assistance for navigation
A weighted hybrid ensemble method for classifying imbalanced data
Knowledge organisation of product design blackboard systems via graph decomposition
Topic-Driven SocialRank: Personalized search result ranking by identifying similar, credible users in a social network
Combining expert weights for online portfolio selection based on the gradient descent algorithm
An Adaptive Active Learning Framework for Sparsely Labeled Multi-Label Drifting Data Streams
DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier
Non-tradable shares pricing and optimal default point based on hybrid KMV models: Evidence from China
DouFu: A Double Fusion Joint Learning Method for Driving Trajectory Representation
Weakly supervised semantic segmentation via multi-type semantic affinity learning
Probabilistic quantum clustering
Cascade stacked autoencoder neural network for intrusion detection in CAN-FD vehicular network
Regression on feature projections
Jmax-pruning: A facility for the information theoretic pruning of modular classification rules
An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization
Reconstructing graph networks by using new target representation for aspect-based sentiment analysis
Adversarial learning for multi-view network embedding on incomplete graphs
Genetic algorithm hybridized with ruin and recreate procedure: application to the quadratic assignment problem
An AUC-maximizing classifier for skewed and partially labeled data with an application in clinical prediction modeling
Federated semi-supervised calibrated efficient fine-tuning of foundation models for medical image classification
Cross-lingual distillation for domain knowledge transfer with sentence transformers
A prior-guided deep network for real image denoising and its applications
Aspect-level sentiment analysis in social media using a hybrid deep transfer learning approach
XML, metadata and efficient knowledge discovery
Multi-goal multi-agent learning for task-oriented dialogue with bidirectional teacher-student learning
Large Language Model-assisted multi-scale hierarchical classification of ECG signals
A fuzzy-guided adaptive algorithm with hierarchy mechanism for solving dynamic multi-objective optimization problems
Memory, evolutionary operator, and local search based improved Grey Wolf Optimizer with linear population size reduction technique
Improved hierarchical fuzzy TOPSIS for road safety performance evaluation
Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization
A novel intrinsically explainable model with semantic manifolds established via transformed priors
Transformation of bipolar fuzzy rough set models
Beyond cluster labeling: Semantic interpretation of clusters' contents using a graph representation
Anomaly detection based self-healing mechanism using dynamic diffusion spatial-temporal graph convolutional network in industrial IoT
A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization
Advanced smart farming system based multi-anchor space-aware temporal convolutional neural networks in internet-of-things
A novel Fuzzy-PSO term weighting automatic query expansion approach using combined semantic filtering
Spatial-frequency gradient fusion based model augmentation for high transferability adversarial attack
An ensemble-based outlier detection method for clustered and local outliers with differential potential spread loss
Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm
Joint knowledge-powered topic level attention for a convolutional text summarization model
Localized Multiple Kernel learning for Anomaly Detection: One-class Classification
An unsupervised deep global-local views model for anomaly detection in attributed networks
Rough approximation based strategy model between a green building developer and a contractor under a fuzzy environment
SFGNet: Salient-feature-guided real-time building extraction network for remote sensing images
Dominant color component and adaptive whale optimization algorithm for multilevel thresholding of color images
A hybrid Artificial Immune optimization for high-dimensional feature selection
Uncertainty Estimation with Self-Distillation for semi-supervised few-shot classification
Safety control modeling method based on Bayesian network transfer learning for the thickening process of gold hydrometallurgy
A linguistic treatment for automatic external plagiarism detection
An improved gorilla troops optimizer for global optimization problems and feature selection
Combination retrieval for creating knowledge from sparse document-collection
SPGAN: Siamese projection Generative Adversarial Networks
Dynamic multi-objective causal Bayesian optimization: Adaptive learning for complex systems under interventional constraints
Advances in three-way decisions and granular computing
Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks
A hybrid deep generative neural model for financial report generation
Mining sustainability indicators to classify hydrocarbon development
Minimal decision cost reduct in fuzzy decision-theoretic rough set model
Multi-agent collaborative operation planning via cross-domain transfer learning
CMOT: A cross-modality transformer for RGB-D fusion in person re-identification with online learning capabilities
Synthetic data for enhanced privacy: A VAE-GAN approach against membership inference attacks
A bioinformatic variant fruit fly optimizer for tackling optimization problems
Evolution of the random subset feature selection algorithm for classification problem
Information diffusion over cyber-physical conjoined networks: An immunity perspective
Capacitated location-routing problem with time windows under uncertainty
A multi-head attention-like feature selection approach for tabular data
Knowledge base management systems-tools for creating verified intelligent systems
Multi-objective particle swarm optimization with multi-mode collaboration based on reinforcement learning for path planning of unmanned air vehicles
Note-against-note two-voice counterpoint by means of fuzzy logic
A novel approach to minimum attribute reduction based on quantum-inspired self-adaptive cooperative co-evolution
Exploring the preference of customers between financial companies and agents based on TCA
Improving the scalability of ILP-based multi-relational concept discovery system through parallelization
Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network
A novel multi population based particle swarm optimization for feature selection
An instance-based approach to pattern association learning with application to the English past tense verb domain
Adaptive affinity propagation method based on improved cuckoo search
A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem
Efficient algorithms for mining colossal patterns in high dimensional databases
DRTNet: Dual-route transformer network for thyroid ultrasound segmentation based on Bbox-supervised learning
Reconstruction of arterial blood pressure waveforms based on squeeze-and-excitation network models using electrocardiography and photoplethysmography signals
Satisfying uncertain targets using measure generalized Dempster-Shafer belief structures
Autoencoder based sample selection for self-taught learning
MonoAFKD: Align and frequency cross knowledge distillation for monocular 3D object detection
JointMatcher: Numerically-aware entity matching using pre-trained language models with attention concentration
Pythia-RAG: Retrieval-augmented generation over a unified multimodal knowledge graph for enhanced QA
"Are the current topic modeling evaluation metrics enough?" Mitigating the limitations of topic modeling evaluation metrics using a multi-perspective game theoretic approach
Unsupervised data pruning for clustering of noisy data
Improving trajectory prediction in dynamic multi-agent environment by dropping waypoints
A classification algorithm based on local cluster centers with a few labeled training examples
Enhancing dual network based semi-supervised medical image segmentation with uncertainty-guided pseudo-labeling
A visual object tracking method based on historical prompts of Mamba
Knowledge based representation and operations assessment of space transportation system architectures
A noisy multi-objective optimization algorithm based on mean and Wiener filters
Aspect-level sentiment analysis based on gradual machine learning
ALCIDE: Extracting and visualising content from large document collections to support humanities studies
A cost-effective algorithm for inferring the trust between two individuals in social networks
Semi-supervised possibilistic c-means clustering algorithm based on feature weights for imbalanced data
MRM: A matrix representation and mapping approach for knowledge acquisition
Mutual information-based label distribution feature selection for multi-label learning
Dynamic Adaboost learning with feature selection based on parallel genetic algorithm for image annotation
ProFPN: Progressive feature pyramid network with soft proposal assignment for object detection
Evolutionary cross-client network aggregation for personalized federated learning
Cross-modal event extraction based on Adaptive Feature Selection and Semantic-Aware Graph
A safe control scheme under the abnormity for the thickening process of gold hydrometallurgy based on Bayesian network
IncOrder: Incremental density-based community detection in dynamic networks
Video and audio are images: A cross-modal mixer for original data on video-audio retrieval
Learnable directional scale space filters for video motion magnification
Exploring shapelet transformation for time series classification in decision trees
PSNet: A non-uniform illumination correction method for underwater images based pseudo-siamese network
Adversarial attacks on video quality assessment models
Fuzzy competence model drift detection for data-driven decision support systems
PI-MeshONet: A generalizable and self-supervised method for structured mesh generation
Two-phase self-supervised pretraining for object re-identification
Clustering boundary detection for high dimensional space based on space inversion and Hopkins statistics
Video multimodal sentiment analysis using cross-modal feature translation and dynamical propagation
Smalltalk-80 development environment
Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning
Towards a generalized model of diagnostic behaviour
Mixed feature selection in incomplete decision table
SNF-CVAE: Computational method to predict drug-disease interactions using similarity network fusion and collective variational autoencoder
Exploiting memristive autapse and temporal distillation for training spiking neural networks
Assessment of adaptive human-robot interactions
Multi-issue bargaining in an information-rich context
Dual De-confounded Causal Intervention method for knowledge graph error detection
A hybrid knowledge-based approach to supporting the medical prescription for general practitioners: Real case in a Hong Kong medical center
TCURL: Exploring hybrid transformer and convolutional neural network on phishing URL detection
Person re-identification based on multi-scale feature learning
NM2-BO: Non-Myopic Multifidelity Bayesian Optimization
Merging planning in dense traffic scenarios using interactive safe reinforcement learning
EHR privacy preservation using federated learning with DQRE-Scnet for healthcare application domains
Multi-temporal image fusion empowered convolutional neural networks for recognition of 9 common mice actions
A good teacher learns while teaching: Heterogeneous architectural knowledge distillation for fast MRI reconstruction
Nonlocal-based tensor-average-rank minimization and tensor transform-sparsity for 3D image denoising
Smart metering data enhancement in sustainable buildings via knowledge graph-guided graph neural networks
Interpretation of neural networks as Boolean transfer functions
A new framework for detecting weighted sequential patterns in large sequence databases
Average reward adjusted deep reinforcement learning for order release planning in manufacturing
Chaotic fruit fly optimization algorithm
Bipolar fuzzy graphs with applications
Geometric Knowledge Embedding for unsupervised domain adaptation
Temporal knowledge graph reasoning based on relation graphs and time-guided attention mechanism
TCM Model for improving track sequence classification in real scenarios with Multi-Feature Fusion and Transformer Block
IDFG: Information-Regularized Diversity-Fidelity Graph for EEG emotion recognition
Sparse randomized policies for Markov decision processes based on Tsallis divergence regularization
Highly explainable cumulative belief rule-based system with effective rule-base modeling and inference scheme
Multi-source domain adaptation method for textual emotion classification using deep and broad learning
ATSA: An Adaptive Tree Seed Algorithm based on double-layer framework with tree migration and seed intelligent generation
OTMA: Optimal transfer modality alignment for visible-thermal person re-identification
Graph-based multi-label disease prediction model learning from medical data and domain knowledge
Graph pooling via Dual-view Multi-level Infomax
Sentiment analysis using novel and interpretable architectures of Hidden Markov Models
Knowledge flow management for distributed team software development
Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming
Contrastive learning for anomaly detection in hierarchical subgraph
Cross-subject generalizable representation learning with class-subject dual labels for biosignals
Ensemble entropy: A low bias approach for data analysis
Deep coastal sea elements forecasting using UNet-based models
A competitive ensemble pruning approach based on cross-validation technique
Granule description in knowledge granularity and representation
Trans-SAM: Transfer Segment Anything Model to medical image segmentation with Parameter-Efficient Fine-Tuning
Fast EM-driven parameter tuning of microwave circuits with sparse sensitivity updates via principal directions
Characterization of ECG beats from cardiac arrhythmia using discrete cosine transform in PCA framework
Preference recommendation for personalized search
Adversarial example detection and defense based on the evidence consistency from Dempster-Shafer layers
HetNERec: Heterogeneous network embedding based recommendation
Deep learning-augmented biomechanical optimization of energy-absorbing structure towards improved hip injury protection
Iteratively constrained selection of word alignment links using knowledge and statistics
Multi-view attention graph convolutional networks for the host prediction of phages
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis
Grouping competition-based privacy allocation mechanism for federated learning
Grouping multivariate time series variables: applications to chemical process and visual field data
Video-guided machine translation via dual-level back-translation
Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets
Optimized task offloading with energy efficient communication and optimal offloading network: a mobility and energy-efficient approach for augmented reality in mobile edge computing
Senpy: A framework for semantic sentiment and emotion analysis services
Meta-learning based instance manipulation for implicit discourse relation recognition
AICAMS: artificial intelligence crime analysis and management system
A novel transfer learning framework for time series forecasting
Efficient multiobjective optimization for an AGV energy-efficient scheduling problem with release time
A nondestructive automatic defect detection method with pixelwise segmentation
Semantifying formal concept analysis using description logics
SGE: Semantic-guided Generalization Enhancement for Few-Shot Learning
Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy
A feasible graph partition framework for parallel computing of big graph
Phrase dependency relational graph attention network for Aspect-based Sentiment Analysis
Selective policy transfer in multi-agent systems with sparse interactions
A new approach for group decision making method with hesitant fuzzy preference relations
Social influence minimization based on context-aware multiple influences diffusion model
INNAR: Intelligent known and novel aircraft recognition introducing novelty detection interface
SSER: Semi-Supervised Emotion Recognition based on Triplet Loss and pseudo label
On priority weights and consistency for incomplete hesitant fuzzy preference relations
Multi-view representation learning with dual-label collaborative guidance
A federated learning system with enhanced feature extraction for human activity recognition
A residual graph reinforcement learning for budgeted influence maximization
Two-echelon multi-period location routing problem with shared transportation resource
Automatic similarity feature selection for ontology matching with semantic sampling
Concurrent time-series selections using deep learning and dimension reduction
Complex organizational knowledge structures for new product development teams
Hidden behavior prediction of complex system based on time-delay belief rule base forecasting model
Manifold graph embedding with structure information propagation for community discovery
A novel deep quantile matrix completion model for top-N recommendation
Local linear regression for efficient data-driven control
Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization
MLMQ-IR: Multi-label multi-query image retrieval based on the variance of Hamming distance
Correcting noisy ratings in collaborative recommender systems
Reinforced Lin-Kernighan-Helsgaun algorithms for the traveling salesman problems
An improved fruit fly optimization algorithm for continuous function optimization problems
Cyber threat prediction using dynamic heterogeneous graph learning
Scanning, attention, and reasoning multimodal content for sentiment analysis
Unsupervised video categorization based on multivariate information bottleneck method
A dynamic sampling algorithm based on learning automata for stochastic trust networks
Visual object tracking with adaptive structural convolutional network
TTP-AP: Test-time projection of augmented prototypes for generalized deepfake detection
HeGAE-AC: Heterogeneous graph auto-encoder for attribute completion
ExperienceThinking: Constrained hyperparameter optimization based on knowledge and pruning
Case-based reasoning for AIDS initial assessment
Top-down framework for weakly-supervised grounded image captioning
Binary mask tuning on gradient: Towards multi-data question answering
Lifelong reinforcement learning with temporal logic formulas and reward machines
Finite element mesh design expert system
Mining microscopic and macroscopic changes in network data streams
LGMcRec: Large language models-augmented light graph model for multi-criteria recommendation
MASC-Net: Modality-aware skip connection network for adaptive feature selection in high-fidelity medical image translation
Agent-based analysis and simulation of meta-reasoning processes in strategic naval planning
Deep face clustering using residual graph convolutional network
Unsupervised stain-aware pixel-adversarial transfer learning for virtual immunohistochemical staining
ML-KnockoffGAN: Deep online feature selection for multi-label learning
Fuzzy aggregation and averaging for group decision making: A generalization and survey
Fortifying graph neural networks against adversarial attacks via ensemble learning
Saliency detection via double nuclear norm maximization and ensemble manifold regularization
An ontological account of action in processes and plans
Multi-label collective classification via Markov chain based learning method
Using neural word embeddings to model user behavior and detect user segments