yusuke1997/dblp-id-title huggingface dataset:
Multi-feature generation network-based imputation method for industrial data with high missing rate
Deep joint subdomain alignment for unsupervised domain adaptation
Rapid prediction of the ultimate moment of flush endplate connections at elevated temperatures through an artificial neural network
A hash-based co-clustering algorithm for categorical data
A complex adaptive agent modeling to predict the stock market prices
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process
Improving the descriptors extracted from the co-occurrence matrix using preprocessing approaches
A Scale-Aware local Context aggregation network for Multi-Domain shrimp counting
Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy
SAM: A privacy-preserving framework for selective attribute masking in voice recordings
A liver fibrosis staging method using cross-contrast network
Is Deepfake Diversity Real? Analyzing the Diversity of Deepfake Avatars
Probabilistic fatigue life prediction in additive manufacturing materials with a physics-informed neural network framework
A two-phase iterative machine learning method in identifying mechanical biomarkers of peripheral neuropathy
Two-stage aggregation paradigm for HFLTS possibility distributions: A hierarchical clustering perspective
KNIT: Ontology reusability through knowledge graph exploration
Rank aggregation methods dealing with ordinal uncertain preferences
TIEN: Temporal interest-aware evolution model for "Next Item Recommendation"
An online learning framework for UAV search mission in adversarial environments
LiveNet: Improving features generalization for face liveness detection using convolution neural networks
A heuristic training-based least squares support vector machines for power system stabilization by SMES
An expert system towards solving ship auxiliary machinery troubleshooting: SHIPAMT SOLVER
Automatic environmental noise source classification model using fuzzy logic
Projectile trajectory and launch point prediction based on CORR-CNN-BiLSTM-Attention model
Sparse multikernel support vector regression machines trained by active learning
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis
Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card
A well-scalable metaheuristic for the fleet size and mix vehicle routing problem with time windows
Effective feature representation using symbolic approach for classification and clustering of big data
Nonlinear curve fitting to stopping power data using RBF neural networks
PPFGED: Federated learning for graphic element detection with privacy preservation in multi-source substation drawings
Complex spherical fuzzy TOPSIS based on entropy
Mining neural connectivity via spatiotemporal features of neural calcium activity data
Algorithm selection for solving educational timetabling problems
2-level reinforcement learning for ships on inland waterways: Path planning and following
Synchronization of semi-Markov jump two-time-scale fuzzy neural networks dealing with dual-scale hybrid attacks and its application
HFE-Net: A lightweight cross-layer hybrid feature enhancement network for efficient Hemerocallis citrina leaf disease detection and generalization
Speaker recognition under limited data condition by noise addition
An investigation of dynamic fitness measures for genetic programming
Customer-adapted coupon targeting using feature selection
Traffic sign detection in unconstrained environment using improved YOLOv4
Hybrid deep learning model using SPCAGAN augmentation for insider threat analysis
Incrementally building frequent closed itemset lattice
Glaucoma progression prediction using multi-modal data and trusted multi-view learning
Fuzzy DEMATEL method for developing supplier selection criteria
An ensemble based on a bi-objective evolutionary spectral algorithm for graph clustering
Fusion of FISH image analysis methods of HER2 status determination in breast cancer
Street closure prediction based on the combined conditions of spatially collocated municipal infrastructure assets at the segment level
A real-time personalized route recommendation system for self-drive tourists based on vehicle to vehicle communication
A robust electromyography signals-based interaction interface for human-robot collaboration in 3D operation scenarios
Event stream controllability on event-based complex networks
Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization
A lightweight surface defect detection framework combined with dual-domain attention mechanism
Trace-based contextual recommendations
Weighted aspect-based opinion mining using deep learning for recommender system
Is word order considered by foundation models? A comparative task-oriented analysis
Smart agriculture: IoT-Based smart irrigation with advanced fuzzy logic control
Multi-output soft sensor modeling approach for penicillin fermentation process based on features of big data
Supplementary heuristic dynamic programming for wastewater treatment process control
Favor-based decision: A novel approach to modeling the strategy diffusion in causal multiagent societies
Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technology
Improving Extreme Learning Machine by Competitive Swarm Optimization and its application for medical diagnosis problems
MOD-YOLO: Rethinking the YOLO architecture at the level of feature information and applying it to crack detection
Apply robust segmentation to the service industry using kernel induced fuzzy clustering techniques
A novel cloud model and consensus-based success likelihood index method for human reliability analysis in air refueling operations
A cognitive map simulation approach to adjusting the design factors of the electronic commerce web sites
Predicting the number of COVID-19 imported cases based on cross-modal transformer: A case study in China
FTSheild: An intelligent framework for LOFT attack detection and mitigation with programmable data plane
Forecasting Chinese provincial carbon emissions using a novel grey prediction model considering spatial correlation
Solving nonlinear equation systems based on evolutionary multitasking with neighborhood-based speciation differential evolution
Global citation recommendation employing generative adversarial network
Data mining techniques and applications - A decade review from 2000 to 2011
BlendCSE: Blend contrastive learnings for sentence embeddings with rich semantics and transferability
Mining changing customer segments in dynamic markets
Logic-based Benders decomposition approaches for the distributed heterogeneous precast production scheduling problem with eligibility constraints and controllable processing times
Application of Particle Swarm Optimization technique for achieving desired milled surface roughness in minimum machining time
An ensemble credit scoring model based on logistic regression with heterogeneous balancing and weighting effects
Learning attack mechanisms in Wireless Sensor Networks using Markov Decision Processes
SoyaTrans: A novel transformer model for fine-grained visual classification of soybean leaf disease diagnosis
Empirical analysis of the impact of queries on watermarked relational databases
Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation
A graph-based top-down visual attention model for lockwire detection via multiscale top-hat transformation
Explaining and justifying the advice of a decision support system: a natural language generation approach
FinQuaXBot: enhancing trust and security in personalized investment and tax forecasting using homomorphic encryption and meta-reinforcement learning with explainability
Wavelet-derived features as indicators of physiological changes induced by bed rest
Egocentric human-object interaction detection: A new benchmark and method
Special issue - CSCWD 2005
A global-ranking local feature selection method for text categorization
RDTN: Residual Densely Transformer Network for hyperspectral image classification
Fine-tuned encoder models with data augmentation beat ChatGPT in agricultural named entity recognition and relation extraction
Hierarchical learning particle swarm optimization using fuzzy logic
Adaptation methodology of CBR for environmental emergency preparedness system based on an Improved Genetic Algorithm
Pricing options with a new hybrid neural network model
A sustainable and efficient home health care network design model under uncertainty
Automatic expert system based on images for accuracy crop row detection in maize fields
Closed-loop supply chain network of end-of-life wind turbines mathematical model proposal considering environmental, employment, and cost reduction aspects
Prompting GPT -4 to support automatic safety case generation
An integrated fuzzy approach for provider evaluation and selection in third-party logistics
HiF2-FSLF: Hierarchical frequency fusion few-Shot learning framework for hyperspectral and lidar classification
An artificial intelligence-based strategy for multi-objective optimization of internal combustion engine performance and emissions
Recursive label attention network for nested named entity recognition
Non-numerical nearest neighbor classifiers with value-object hierarchical embedding
Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran
Decomposition combining averaging seasonal-trend with singular spectrum analysis and a marine predator algorithm embedding Adam for time series forecasting with strong volatility
Data generation using geometrical edge probability for one-class support vector machines
Memory based Hybrid Dragonfly Algorithm for numerical optimization problems
Deep learning on edge and cloud for intelligent monitoring and decision making in artificial pancreas
Temporal reasoning and query answering with preferences and probabilities for medical decision support
Grid-based market sales forecasting for retail businesses using automated machine learning and geospatial intelligence
A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring
Bagging k-dependence probabilistic networks: An alternative powerful fraud detection tool
Enhancing crop productivity with fined-tuned deep convolution neural network for Potato leaf disease detection
A new nearest neighbor classification method based on fuzzy set theory and aggregation operators
Developing global managers' competencies using the fuzzy DEMATEL method
Model-driven regularization approach to straight line program genetic programming
Multi-attribute fuzzy time series method based on fuzzy clustering
An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS
Novel mean-shift based histogram equalization using textured regions
Ranking products through online reviews considering the mass assignment of features based on BERT and q-rung orthopair fuzzy set theory
Local-shapelets for fast classification of spectrographic measurements
A co-evolving decision tree classification method
A multi-task approach for contrastive learning of handwritten signature feature representations
Creating technological innovation via green supply chain management: An empirical analysis
A novel method for shelf life prediction of a packaged moisture sensitive snack using multilayer perceptron neural network
Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach
Graphic object feature extraction system based on Cuckoo Search Algorithm
Causal knowledge and reasoning by cognitive maps: Pursuing a holistic approach
An efficient proactive artificial immune system based anomaly detection and prevention system
Novel logistic regression models to aid the diagnosis of dementia
A mathematical optimization approach to shape-constrained generalized additive models
A stage model of organizational knowledge management: a latent content analysis
GECRAN: Graph embedding based convolutional recurrent attention network for traffic flow prediction
Efficient and compact face descriptor for driver drowsiness detection
Unintended bias evaluation: An analysis of hate speech detection and gender bias mitigation on social media using ensemble learning
An entropy-based group decision-making approach for software quality evaluation
Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection
FIP: A fast overlapping community-based influence maximization algorithm using probability coefficient of global diffusion in social networks
Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector
Incipient fault detection of planetary gearbox under steady and varying condition
A grey prediction evolutionary algorithm with a surrogate model based on quadratic interpolation
A Genetic Algorithm-based optimization model for supporting green transportation operations
Artificial neural network approach for locating internal faults in salient-pole synchronous generator
Dynamic learning framework for epileptic seizure prediction using sparsity based EEG Reconstruction with Optimized CNN classifier
Ensemble multi-label text categorization based on rotation forest and latent semantic indexing
Text-aided alignment for multi-view clustering
A sliding window technique for efficient license plate localization based on discrete wavelet transform
A monitoring and diagnostic expert system for carbon dioxide capture
Wind turbine fault diagnosis based on ReliefF-PCA and DNN
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods
Graph contrastive learning with multiple information fusion
Improved search space shrinking for medical image retrieval using capsule architecture and decision fusion
Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine
An intelligent framework based on optimized variational mode decomposition and temporal convolutional network: Applications to stock index multi-step forecasting
Cultural dependency analysis for understanding speech emotion
A doubly extended TOPSIS method for group decision making based on ordered fuzzy numbers
Transforming regression to classification for enhancing extrapolation capacity of data-driven structural behavior prediction
A hybrid particle swarm optimization and its application in neural networks
Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques
Using thermal image matter-element to design a circuit board fault diagnosis system
A game theoretic approach for green supply chain management in a big data environment considering cost-sharing models
Pricing, collection, and effort decisions with coordination contracts in a fuzzy, three-level closed-loop supply chain
Design and evaluation of adaptive system for big data cyber security analytics
A semi-supervised temporal localization of PQD via hierarchical differential attention and spatiotemporal dual-threshold
A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering
A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review
Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly
An intelligent financial portfolio trading strategy using deep Q-learning
Color image segmentation using Kapur, Otsu and Minimum Cross Entropy functions based on Exchange Market Algorithm
A privacy-preserving blockchain-based tracing model for virus-infected people in cloud
A topic-based recommender system for electronic marketplace platforms
DEA based multi-period evaluation system for research in academia
Shared neighbors rough set model and neighborhood classifiers
Exploring sequence-to-sequence taxonomy expansion via language model probing
Non-Uniform Influence Blocking Maximization in Social Network
Modeling of zenith path delay over Antarctica using an adaptive neuro fuzzy inference system technique
Tensor Ring decomposition for context-aware recommendation
Portfolio selection with coherent Investor's expectations under uncertainty
Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem
Intelligent agents for supporting construction procurement negotiation
Design concept evaluation in product development using rough sets and grey relation analysis
Traffic prediction using an active causality recurrent graph convolutional network
Intelligent road adaptive suspension system design using an experts' based hybrid genetic algorithm
A model-free deep learning-based health prognosis methodology with epistemic and aleatoric uncertainties
Weighted feature fusion of dual attention convolutional neural network and transformer encoder module for ocean HABs classification
A deep Q-learning based algorithmic trading system for commodity futures markets
A novel robust diagnostic model to detect seizures in electroencephalography
Adaptive contextual memory graph transformer with domain-adaptive knowledge graph for aspect-based sentiment analysis
Generative adversarial networks for prognostic and health management of industrial systems: A review
Optimization of privacy-aware cloud crowdsourcing resource combinations for product development
ADA-UDA: A transferable transformer framework for rumor detection using Adversarial Domain Alignment within Unsupervised Domain Adaptation
An integrated model for supplier selection decisions in configuration changes
Towards similar alignment and unique uniformity in collaborative filtering
Deep multi-attribute spatial-temporal graph convolutional recurrent neural network-based multivariable spatial-temporal information fusion for short-term probabilistic forecast of multi-site photovoltaic power
Balanced scorecard-based analysis about European energy investment policies: A hybrid hesitant fuzzy decision-making approach with Quality Function Deployment
Application of artificial intelligence in physiological measurement based screening and diagnosis of chronic obstructive pulmonary disease: A review
A multi-objective memetic algorithm for query-oriented text summarization: Medicine texts as a case study
Spatial-Temporal Attention Network for Depression Recognition from facial videos
Using ontology and RFID to develop a new Chinese Braille learning platform for blind students
Hyperspectral image classification via deep network with attention mechanism and multigroup strategy
Recognizing materials in cultural relic images using computer vision and attention mechanism
User-guided motion planning with reinforcement learning for human-robot collaboration in smart manufacturing
A modified particle swarm optimization for aggregate production planning
Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives
Exploring user movie interest space: A deep learning based dynamic recommendation model
Learning from single-defect wafer maps to classify mixed-defect wafer maps
Deep multi-graph neural networks with attention fusion for recommendation
Divide and conquer: Ill-light image enhancement via hybrid deep network
Discover the semantic topology in high-dimensional data
Fault Matters : Sensor data fusion for detection of faults using Dempster-Shafer theory of evidence in IoT-based applications
Celiac disease multi-purpose diet plan through integrated goal programming and Interval Type 2 Fuzzy TOPSIS method
Providing a greater precision of Situational Awareness of urban floods through Multimodal Fusion
Cryptanalysis of an image encryption scheme using variant Hill cipher and chaos
A modified domain adversarial approach based on model and data-driven for bearing fault diagnosis
Real-time classification model for anomalous sensor data in dam safety monitoring based on convolutional neural networks and transfer learning
GNSS accuracy enhancement based on pseudo range error estimation in an urban propagation environment
On clustering categories of categorical predictors in generalized linear models
Multi-stage and multi-topology analysis of ship traffic complexity for probabilistic collision detection
A cyber risk prediction model using common vulnerabilities and exposures
A new method for expert target recognition system: Genetic wavelet extreme learning machine (GAWELM)
Suitability evaluation of underground space development based on Bayesian network model: A case study considering population evacuation, excavation safety, and spatial connectivity
Collaborative production control and distributor selection via multi-agent reinforcement learning with differentiable communication
Corrigendum to "An intelligent fault diagnosis method based on wavelet packet analysis and hybrid support vector machines" [Expert Systems with Applications 36 (10) (2009) 12131-12136]
MGFS: A multi-label graph-based feature selection algorithm via PageRank centrality
Human vs. Machines: Who wins in semiconductor market forecasting?
Personal financial planning based on fuzzy multiple objective programming
Automated non-invasive method for measuring chicken comb and wattle using multi-camera system and CW-Measure-pose
ReST-Pre: Event prediction by spatial-temporal structural replay on generative implicit event pattern induction
A hybrid approach to portfolio composition based on fundamental and technical indicators
Interpretable deep one-class model for forest fire detection
Multi-view content-context information bottleneck for image clustering
Corrigendum to "Maximum-margin classification of sequential data with infinitely-long temporal dependencies" [Expert Systems with Applications 40 (11) (2013) 4519-4527]
Combining ontology and probabilistic models for the design of bio-based product transformation processes
A bi-phased multi-objective genetic algorithm based classifier
Adaptive color image watermarking by the use of quaternion image moments
Design and evaluation of a device worn for fall detection and localization: Application for the continuous monitoring of risks incurred by dependents in an Alzheimer's care unit
Brain-inspired deep learning model for EEG-based low-quality video target detection with phased encoding and aligned fusion
A wavelet-based approach to emotion classification using EDA signals
Multi-level interactive fusion network based on adversarial learning for fusion classification of hyperspectral and LiDAR data
Applying supplier selection methodologies in a multi-stakeholder environment: A case study and a critical assessment
Fifteen years of grey system theory research: A historical review and bibliometric analysis
A novel algorithm for autonomous parking vehicles using adjustable probabilistic neutrosophic hesitant fuzzy set features
Data mining applied to material acquisition budget allocation for libraries: design and development
An interpretable automated optimized machine learning for predicting concrete compressive strength
Taking advantage of multi-regions-based diagonal texture structure descriptor for image retrieval
Fedai: Federated recommendation system with anonymized interactions
State-of-health estimation of Li-ion batteries in the early phases of qualification tests: An interpretable machine learning approach
Mining the customer credit using hybrid support vector machine technique
A reinforced active learning approach for optimal sampling in aspect term extraction for sentiment analysis
Human activity recognition with smartphone-integrated sensors: A survey
A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease