yusuke1997/dblp-id-title huggingface dataset:
A Deep Active Survival Analysis approach for precision treatment recommendations: Application of prostate cancer
Development of an adaptive learning case recommendation approach for problem-based e-learning on mathematics teaching for students with mild disabilities
A YOLO-NL object detector for real-time detection
Application of extension theory in misfire fault diagnosis of gasoline engines
Self-similarity guided probabilistic embedding matching based on transformer for occluded person re-identification
Activity-based divergent supply chain planning for competitive advantage in the risky global environment: A DEMATEL-ANP fuzzy goal programming approach
Indexing and retrieving in fingerprint databases under structural distortions
Rank2vec: Learning node embeddings with local structure and global ranking
An efficient color and texture based iris image retrieval technique
Investment factor timing: Harvesting the low-risk anomaly using artificial neural networks
Applying the analytic network process to disclose knowledge assets value creation dynamics
New aggregation operators based on the Choquet integral and 2-tuple linguistic information
An adaptive pyramid PSO for high-dimensional feature selection
Evaluation of aggregate distribution uniformity using Vision Mamba-based dual networks for concrete aggregate segmentation
A secure and traceable E-DRM system based on mobile device
Probabilistic approach for the prediction of flight processes with uncertainty quantification - Application to block time
An ontology-based planning system for e-course generation
Power output optimization of electric vehicles smart charging hubs using deep reinforcement learning
Real-time and decision taking selection of single-particles during automated cryo-EM sessions based on neuro-fuzzy method
IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems
Stable dynamic webshadows in the X3DOM framework
Outlier identification and market segmentation using kernel-based clustering techniques
Gold volatility prediction using a CNN-LSTM approach
Imbalance example-dependent cost classification: A Bayesian based method
Contrastive multi-graph learning with neighbor hierarchical sifting for semi-supervised text classification
GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization
A property-based hybrid genetic algorithm and tabu search for solving order acceptance and scheduling problem with trapezoidal penalty membership function
Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems
Robust multi-step wind speed forecasting based on a graph-based data reconstruction deep learning method
Linking perceived external prestige and collective identification to collaborative behaviors in R&D teams
Two-stage production modeling of large U.S. banks: A DEA-neural network approach
Time-series anomaly detection using dynamic programming based longest common subsequence on sensor data
A multi-objective evolutionary approach for the electric vehicle charging stations problem
An efficient multitask neural network for face alignment, head pose estimation and face tracking
Combining piano performance dimensions for score difficulty classification
A robust web personal name information extraction system
Early prediction of learners at risk in self-paced education: A neural network approach
Picture-based and conversational decision support to diagnose post-harvest apple diseases
UnfairGAN: An enhanced generative adversarial network for raindrop removal from a single image
Testing the predictive power: A comparative study of current default probability validation tests
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings
An ontological website models-supported search agent for web services
The effectiveness of image features based on fractal image coding for image annotation
Sentiment analysis leveraging emotions and word embeddings
Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation
Towards a data privacy-predictive performance trade-off
Linkage artificial bee colony for solving linkage problems
Mack-Net model: Blending Mack's model with Recurrent Neural Networks
Red light crossing violations modelling using deep learning and variance-based sensitivity analysis
Implementation and application of the microsecond-level low-step control experimental platform in M2Plab
Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a deep convolutional Encoder-Decoder filtering model
Optimisation of partial collaborative transportation scheduling in supply chain management with 3PL using ACO
M2former: Single and multi-event recognition with multi-graph attention embedding for distributed fiber optic sensing
Learning species-definite features from digital microscopic leather images
A novel integrated strategy of easy pruning, parameter searching, and re-parameterization for lightweight intelligent lithology identification
A branch and bound method for solving multi-factory supply chain scheduling with batch delivery
Edge Intelligence for Intelligent Transport Systems: Approaches, challenges, and future directions
The automation of the development of classification models and improvement of model quality using feature engineering techniques
PPTtrack: Pyramid pooling based Transformer backbone for visual tracking
High Performance Knowledge Bases: four approaches to knowledge acquisition, representation and reasoning for workaround planning
Application of GA to optimize cutting conditions for minimizing surface roughness in end milling machining process
Physics-constrained graph neural networks for spatio-temporal prediction of drop impact on OLED display panels
Learning competitive channel-wise attention in residual network with masked regularization and signal boosting
DC-RRG: Diagnosis-centered cascaded radiology report generation
Is the contextual information relevant in text clustering by compression?
Automated instructional design for CSCL: A hierarchical task network planning approach
Multi-representation fusion learning for weakly supervised semantic segmentation
Linear optimization modeling of consistency issues in group decision making based on fuzzy preference relations
On the reliable detection of concept drift from streaming unlabeled data
Exploring explainable artificial intelligence techniques for evaluating cervical intraepithelial neoplasia (CIN) diagnosis using colposcopy images
Multi-label augmentation transformer hashing for cross-modal retrieval
Consistent penalizing field loss for zero-shot image retrieval
Evaluating supplier development programs with a grey based rough set methodology
Negative collaboration risk analysis and control in manufacturing service collaboration based on complex network evolutionary game
Implementing a qualitative calculus to analyse moving point objects
Probe test yield optimization based on canonical correlation analysis between process control monitoring variables and probe bin variables
Performance measurement of Taiwan financial holding companies: An additive efficiency decomposition approach
Machine learning-based understanding of aquatic animal behaviour in high-turbidity waters
Memory-enhanced hierarchical and temporal semantic learning for multi-label patent classification
Efficient parameter estimation in biochemical pathways: Overcoming data limitations with constrained regularization and fuzzy inference
An innovative decision rule approach to tyre pressure monitoring
Attitude control of a satellite using fuzzy controllers
An orbit-based encoder-forecaster deep learning method for condition monitoring of large turbomachines
Understanding conflict origin and dynamics on Twitter: A real-time detection system
Imbalanced bearing fault diagnosis under variant working conditions using cost-sensitive deep domain adaptation network
Flexible knowledge representation and new similarity measure: Application on case based reasoning for waste treatment
Algorithmic sign prediction and covariate selection across eleven international stock markets
Effective PM2.5 concentration forecasting based on multiple spatial-temporal GNN for areas without monitoring stations
AMRank: An adversarial Markov ranking model combining short- and long-term returns
Deep reinforcement learning driven cost minimization for batch order scheduling in robotic mobile fulfillment systems
PSOLVER: A new hybrid particle swarm optimization algorithm for solving continuous optimization problems
Combination of expert decision and learned based Bayesian Networks for multi-scale mechanical analysis of timber elements
A stochastic multi-criteria decision analysis for sustainable biomass crop selection
A dynamic resource-aware endorsement strategy for improving throughput in blockchain systems
FISEVAL-A novel project evaluation approach using fuzzy logic: The paradigm of the i-Treasures project
CAFCNet: Cross-modality asymmetric feature complement network for RGB-T salient object detection
OnsitNet: A memory-capable online time series forecasting model incorporating a self-attention mechanism
Handling the significance of regression coefficients via optimization
Deep neural system for supporting tumor recognition of mammograms using modified GAN
SRDPR: Social Relation-driven Dynamic network for Personalized micro-video Recommendation
PGSL: A probabilistic graph diffusion model for source localization
A novel design of wafer yield model for semiconductor using a GMDH polynomial and principal component analysis
Predicting trust in online advertising with an SEM-artificial neural network approach
The long-run relationship between the spot and futures markets under multiple regime-shifts: Evidence from Turkish derivatives exchange
Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique
A self-supervised learning method for Raman spectroscopy based on masked autoencoders
An empirical study of the effects of knowledge sharing and learning behaviors on firm performance
Rule-based intelligent adaptation in mobile information systems
Group RFM analysis as a novel framework to discover better customer consumption behavior
Deploying personalized mobile services in an agent-based environment
Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection
Vision-based interaction force estimation for robot grip motion without tactile/force sensor
Integrated image representation based natural scene classification
Computing with competencies: Modelling organizational capacities
Construct support vector machine ensemble to detect traffic incident
Two-stage evolutionary game model on complex networks for emergency logistics based on blockchain platform
A new approach to intelligent fault diagnosis of rotating machinery
On initial population generation in feature subset selection
Weight stability intervals for multi-criteria decision analysis using the weighted sum model
Prediction of the next user location using personal tracking data
Toward energy-efficient online Complete Coverage Path Planning of a ship hull maintenance robot based on Glasius Bio-inspired Neural Network
CLRN: A reasoning network for multi-relation question answering over Cross-lingual Knowledge Graphs
Optimization based on phylogram analysis
Implicit feature identification via hybrid association rule mining
Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction
A deep reinforcement learning approach to cloud resource optimization with response time distributions
SEGEDMA: Sensor grid enhancement data management system for Health Care computing
Dynamic computerized testlet-based test generation system by discrete PSO with partial course ontology
A misclassification cost risk bound based on hybrid particle swarm optimization heuristic
Leveraging coverless image steganography to hide secret information by generating anime characters using GAN
Consensus reaching with heterogeneous stochastic dominance in the enterprise credit rating under linguistic distribution assessments context
Obstacle avoidance for orchard vehicle trinocular vision system based on coupling of geometric constraint and virtual force field method
Two-stream attentive spatial-temporal graph convolutional network for P300 detection in brain-computer interface
An efficient model for sentiment analysis using artificial rabbits optimized vector functional link network
Extracting highlights of scientific articles: A supervised summarization approach
CNN-based driving maneuver classification using multi-sliding window fusion
Category-specific models for ranking effective paraphrases in community Question Answering
An ensemble of support vector machines for predicting virulent proteins
Feature selection for classification with Spearman's rank correlation coefficient-based self-information in divergence-based fuzzy rough sets
Transformer-based network for enhanced wireless service differentiation in 6G
A heuristic method for the inventory routing and pricing problem in a supply chain
An adaptive amoeba algorithm for constrained shortest paths
Development of an adaptive neuro-fuzzy classifier using linguistic hedges: Part 1
Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains
A curved path extraction method using RGB-D multimodal data for single-edge guided navigation in irregularly shaped fields
Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming
Parameter recovery of Neural Network-Based Hammerstein system via immersion and invariance adaptive optimization scheme
Learning consensus and complementary bipartite graph through orthogonal transformation for multi-view subspace clustering
Stock trading with cycles: A financial application of ANFIS and reinforcement learning
AMST-Net: An adaptive multi-scale transformer dual encoder network for skin lesion segmentation
Self-supervised domain feature mining for underwater domain generalization object detection
System perspective of knowledge management, organizational learning, and organizational innovation
Classification of welding flaw types with fuzzy expert systems
FDFR-Net: A fruit ripeness classification method using multimodal learning technique
Text classification method based on self-training and LDA topic models
Fuzzy logic control of a novel robotic hanger for garment inspection: Modeling, simulation and experimental implementation
Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects
Hierarchical semantic alignment heterogeneous knowledge distillation model for smart agriculture crop leaf disease recognition
Using artificial neural networks for real-time observation of the endurance state of a steel specimen under loading
Wavelet-Based precipitation preprocessing for improved drought Forecasting: A Machine learning approach using tunable Q-factor wavelet transform and maximal overlap discrete wavelet transform
Illuminating the Shadows: Enhanced Low-Light Image via a Retinex-based Model with Color Equalization
Negative samples filter of contrastive learning for time series classification
Automatic accuracy assessment via hashing in multiple-source environment
Improving handwriting based gender classification using ensemble classifiers
Assessing expert system-assisted literature reviews with a case study
Applying the coral reefs optimization algorithm for solving unequal area facility layout problems
A DICOM viewer with flexible image retrieval to support diagnosis and treatment of scoliosis
MambaBIR: A residual pyramid network for brain image registration with state-space model
MCCANet: A multispectral class-constraint attentional neural network for object detection in mining scenes
Self-supervised inter- and intra-slice correlation learning for low-dose CT image restoration without ground truth
FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding
Game-theoretic DEA optimization for sustainable agricultural carbon trading: Evidence from Türkiye's maize production
Detection of violence incitation expressions in Urdu tweets using convolutional neural network
A graph-based method for interactive mapping revision in DL-Lite
EP-based PID control design for chaotic synchronization with application in secure communication
Application of classical and advanced machine learning models to predict personality on social media
Privacy-preserving and efficient verifiable federated learning scheme based on proxy re-signature
A new resource-constrained project scheduling problem with ladder-type carbon trading prices and its algorithm based on deep reinforcement learning
L-SVM: A radius-margin-based SVM algorithm with LogDet regularization
FGDC: A fine-grained divide-and-conquer approach for extending NCO to solve large-scale Traveling Salesman Problem
Using combination of support vector machines for automatic analog modulation recognition
Using Fuzzy AHP to manage Intellectual Capital assets: An application to the ICT service industry
A text mining approach for automatic construction of hypertexts
Reducing dimensionality in a database of sleep EEG arousals
Comprehensive learning TLBO with recursive precedence-based solution construction and multilevel local search for the linear ordering problem
Predicting the virality of fake news at the early stage of dissemination
A high quality color imaging system for computerized tongue image analysis
A novel hybrid binary whale optimization algorithm with chameleon hunting mechanism for wrapper feature selection in QSAR classification model:A drug-induced liver injury case study
Symbolic hierarchical analysis in currency markets: An application to contagion in currency crises
Efficiency assessment of two-stage systems with fixed-sum outputs: A noncooperative DEA model with uncertain stage priority
Achieving knowledge interoperability: An XML/XSLT approach
Position control of a digital electrohydraulic system with limited sensory data using double deep q-network controller
Applying decision tree and neural network to increase quality of dermatologic diagnosis
Business health characterization: A hybrid regression and support vector machine analysis
Autonomous path planning with obstacle avoidance for smart assistive systems
A semi-supervised learning approach for model selection based on class-hypothesis testing
End-to-end environmental sound classification using a 1D convolutional neural network
HSFusion: hierarchical multi-scale feature fusion network based on state space model for infrared and visible image fusion
Copula entropy-based golden jackal optimization algorithm for high-dimensional feature selection problems
Segmentation prompts classification: A nnUNet-based 3D transfer learning framework with ROI tokenization and cross-task attention for esophageal cancer T-stage diagnosis
Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect
Empirical study of trading rule discovery in China stock market
Explainable hybrid tabular Variational Autoencoder and feature Tokenizer Transformer for depression prediction
Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
Development of an intelligent decision support system for air pollution control at coal-fired power plants
Preventing range disclosure in k-anonymised data
Pricing and dynamic service policy for an imperfect production system: Extended Pontryagin's maximum principle for interval control problems
A novel grey multivariate convolution model based on the improved marine predators algorithm for predicting fossil CO2 emissions in China
Risk assessment of hydropower stations through an integrated fuzzy entropy-weight multiple criteria decision making method: A case study of the Xiangxi River
Graph classification algorithm based on graph structure embedding
Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies
An allocation-routing optimization model for integrated solid waste management
Preventing rumor spread with deep learning
A genetic algorithm approach to determine the sample size for control charts with variables and attributes
OCPAD: One class Naive Bayes classifier for payload based anomaly detection
Guards: Benchmarks for weighted grid-based pathfinding
An efficient topological-based clustering method on spatial data in network space
Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning
Developing a novel approach in estimating urban commute traffic by integrating community detection and hypergraph representation learning
Design of BOM configuration for reducing spare parts logistic costs
Addressing inconsistency confusion: Temporal causal inference via fuzzy knowledge-data link consistency mining for root cause tracing
A privacy-aware feature selection method for solving the personalization-privacy paradox in mobile wellness healthcare services
An approach to evaluate the fitness of one class structure via dynamic centroids
The extra value of online investor sentiment measures on forecasting stock return volatility: A large-scale longitudinal evaluation based on Chinese stock market
Knowledge patterns and spatial dynamics of industrial districts in knowledge cities: Hsinchu, Taiwan
Intelligent bionic genetic algorithm (IB-GA) and its convergence
A new history-guided multi-objective evolutionary algorithm based on decomposition for batching scheduling
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm
Non-dominance and attitudinal prioritisation methods for intuitionistic and interval-valued intuitionistic fuzzy preference relations
Supervised fuzzy logic modeling for building earthquake hazard assessment
Betting system for formative code review in educational competitions
HERP: Hierarchical and distributed clouds oriented efficient resource scheduling algorithm with stochastic requirements
Integrating underground line design with existing public transportation systems to increase transit network connectivity: Case study in Greater Cairo
A causal analytical method for group decision-making under fuzzy environment
Comparing the performance of neural networks developed by using Levenberg-Marquardt and Quasi-Newton with the gradient descent algorithm for modelling a multiple response grinding process
ExEm: Expert embedding using dominating set theory with deep learning approaches
Evolving output-context fuzzy system for effective rule base
Informative trees by visual pruning
Measuring service quality from unstructured data: A topic modeling application on airline passengers' online reviews
Developing a conceptual framework for short text categorization using hybrid CNN- LSTM based Caledonian crow optimization
Probabilistic runoff forecasting considering stepwise decomposition framework and external factor integration structure
FinPred: An explainable machine learning tool to accurately predict bidirectional CSR-CFP relationship
Rotation invariant angle-density based features for an ice image classification system
Automated product taxonomy mapping in an e-commerce environment
GARE-Net: Geometric contextual aggregation and regional contextual enhancement network for image-text matching
dGridED-SCPM: A grid-clique-based approach for efficiently mining spatial co-location patterns
Classifying mixed-defect from single-defect training in imbalanced wafer maps via diffusion and attention
Adaptive feature fusion and task-dynamic alignment for real-time object detection on edge devices
Analysis of attacker-defender games on interdependent networks
SCN_GNN: A GNN-based fraud detection algorithm combining strong node and graph topology information
Classification of power system disturbances using support vector machines
Chaotic species based particle swarm optimization algorithms and its application in PCB components detection