yusuke1997/dblp-id-title huggingface dataset:
Combination of macroscopic and microscopic crash prediction models with multiple modeling approaches: A highway case study
Wavelet-based envelope features with automatic EOG artifact removal: Application to single-trial EEG data
The incremental Fourier classifier: Leveraging the discrete Fourier transform for classifying high speed data streams
Enhancing knowledge-based question answering with dense passage retrieval-based scaled momentum contrastive learning
TQM: A facilitator to enhance knowledge management? A structural analysis
A fast incremental extreme learning machine algorithm for data streams classification
An efficient deep learning model using network pruning for fake banknote recognition
Intelligent urban on-street parking space management for autonomous vehicles
Dual-branch image deblurring method based on frequency-domain awareness
Enhanced short-term load forecasting with hybrid machine learning models: CatBoost and XGBoost approaches
A mixed-integer non-linear program to model dynamic supplier selection problem
An innovative blemish detection system for curved LED lenses
Fuzzy risk analysis based on interval-valued fuzzy numbers
Effective attention model for global sea surface temperature prediction
A multi-objective hyper-heuristic based on choice function
Dynamic bottleneck with a predictable prior for image-based deep reinforcement learning
Efficient mining of temporal emerging itemsets from data streams
Ubiquitous conference management system for mobile recommendation services based on mobilizing social networks: A case study of u-conference
Urban-scale point cloud semantic segmentation via integrated mixed-scale and long-range interactions
IPDCN2: Improvised Patch-based Deep CNN for facial retouching detection
Kernel ridge regression for out-of-sample mapping in supervised manifold learning
Solving the military medical evacuation dispatching, preemptive rerouting, redeploying, and delivering problem via tree-based machine learning and approximate dynamic programming approaches
Robust optimization of geoenergy production using data-driven deep recurrent auto-encoder and fully-connected neural network proxy
Nonlinear feature extraction and classification of multivariate data in kernel feature space
Detection approaches for android malware: Taxonomy and review analysis
A novel group BWM approach to evaluate the implementation criteria of blockchain technology in the automotive industry supply chain
Towards enterprise-specific question-answering for IT operations and maintenance based on retrieval-augmented generation mechanism
Orthogonal linear discriminant analysis and feature selection for micro-array data classification
AMoDeBic: An adaptive Multi-objective Differential Evolution biclustering algorithm of microarray data using a biclustering binary mutation operator
WGAN-CL: A Wasserstein GAN with confidence loss for small-sample augmentation
A location-aware recommender system for mobile shopping environments
The application of Web ATMs in e-payment industry: A case study
A new approach to the rule-base evidential reasoning: Stock trading expert system application
Towards optimal control of HPV model using safe reinforcement learning with actor-critic neural networks
VisGIN: Visibility Graph Neural Network on one-dimensional data for biometric authentication<AC
Selection of significant independent components for ECG beat classification
Investigating technical trading strategy via an multi-objective evolutionary platform
Unsupervised learning approach to estimating user engagement with mobile applications: A case study of The Weather Company (IBM)
Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations
Bankruptcy prediction with low-quality financial information
FANeRV: frequency separation and augmentation based neural representation for video
Estimation of solar radiation using artificial neural networks with different input parameters for Mediterranean region of Anatolia in Turkey
Opinion mining and emotion recognition applied to learning environments
A geometric aggregation of performance indicators considering regulatory constraints: An application to the urban solid waste management
Semantic Web based innovative design knowledge modeling for collaborative design
Optimum design of fractional order PI λ D μ controller for AVR system using chaotic ant swarm
A decision support system for urban infrastructure inter-asset management employing domain ontologies and qualitative uncertainty-based reasoning
3D-PV: Enhancing PV power prediction by modeling spatial uncertainty under dynamic shading conditions
SD-ABM-ISM: An integrated system dynamics and agent-based modeling framework for information security management in complex information systems with multi-actor threat dynamics
Simultaneous multi-response Jaya optimization and Pareto front visualization in EDM drilling of MoSi 2 -SiC composites
A cluster-based approach to predict serious adverse events in surgery
Intensified Customer Churn Prediction: Connectivity with Weighted Multi-Layer Perceptron and Enhanced Multipath Back Propagation
Agent oriented petroleum supply chain coordination: Co-evolutionary Particle Swarm Optimization based approach
A modified Intelligent Water Drops algorithm and its application to optimization problems
Machining sensor data management for operation-level predictive model
An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management
A hybrid cooperative coevolution approach for robust medical supply chain logistics scheduling during an emerging epidemic
Context expansion approach for graph-based word sense disambiguation
Spectrum occupancy detection supported by centralized or distributed federated learning
Malicious sequential pattern mining for automatic malware detection
Supporting decision making process with "ideal" software agents - What do business executives want?
A hybrid named entity recognizer for Turkish
MVIB-DVA: Learning minimum sufficient multi-feature speech emotion embeddings under dual-view aware
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation
Selection of the most relevant terms based on a max-min ratio metric for text classification
One for more: Structured Multi-Modal Hashing for multiple multimedia retrieval tasks
ST-TDCN: A two-channel tree-structure spatial-temporal convolutional network model for traffic velocity prediction
Design Gaussian information granule based on the principle of justifiable granularity: A multi-dimensional perspective
Structural similarity index (SSIM) revisited: A data-driven approach
Scalable hierarchical balanced clustering-based routing with multipath authentication for secured data transmission in large-scale multicast group communications
Economic design of autoregressive moving average control chart using genetic algorithms
A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring
Developing an explorative model for SaaS adoption
Maximum reward reinforcement learning: A non-cumulative reward criterion
PrePost + : An efficient N-lists-based algorithm for mining frequent itemsets via Children-Parent Equivalence pruning
Assessment of a failure prediction model in the European energy sector: A multicriteria discrimination approach with a PROMETHEE based classification
Evaluation of k-Nearest Neighbor classifier performance for direct marketing
Multi-class particle swarm model selection for automatic image annotation
Nonlinear system identification of large-scale smart pavement systems
Ant algorithms for image feature extraction
Fingerprint indexing with bad quality areas
Generative adversarial minority enlargement - A local linear over-sampling synthetic method
A global optimization feedback model with PSO for large scale group decision making in hesitant fuzzy linguistic environments
Distributed algorithms with linear convergence for aggregative games over time-varying networks
Fuzzy logic-based attenuation relationships of strong motion earthquake records
A federated semi-supervised automatic sleep staging method based on relationship knowledge sharing
A generic two-stage fuzzy inference system for dynamic prioritization of customers
Gradient-based hybrid method for multi-objective optimization problems
Fuzzy hierarchy sensitive with Delphi method to evaluate hospital organization performance
TSIFIM: A three-stage iterative framework for influence maximization in complex networks
Multi-level association rules and directed graphs for spatial data analysis
Key factors affecting healthcare professionals to adopt knowledge management: The case of infection control departments of Taiwanese hospitals
Ensemble grey wolf Optimizer and its application for image segmentation
A multi-scale spatiotemporal feature network for sea surface salinity forecast in the eastern tropical Pacific Ocean
Solving multi-criteria decision making with incomplete linguistic preference relations
An online learning metaheuristic algorithm with proximal policy optimization mechanism
Joint entity recognition and relation extraction as a multi-head selection problem
An effective model for network selection and resource allocation in 5G heterogeneous network using hybrid heuristic-assisted multi-objective function
A modified starfish optimization algorithm (M-SFOA) for global optimization problems and its application to heart disease risk prediction
Virtual multiphase flow metering using diverse neural network ensemble and adaptive simulated annealing
A lightweight cross-axis semantic interaction network with receptive-field-based attention for industrial surface defect detection
Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood technique
Enhancing decision support for type 2 diabetes mellitus comorbidity risk prediction: An end-to-end multi-task learning model
A dynamic constrained multi-objective evolutionary algorithm with a dual prediction mechanism
An extended Daugman's algorithm for iris with eye pathology recognition
Option valuation based on the neural regression model
A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging
A matheuristic approach for an integrated lot-sizing and scheduling problem with a period-based learning effect
Multi-view collaborative locally adaptive clustering with Minkowski metric
Complex graph convolutional network for link prediction in knowledge graphs
Selective mining of multiple-layer lignite deposits. A fuzzy approach
Intelligent Systems Research in the Construction Industry
PCB design improvement in the circuit between the north bridge and SDRAM through an integrated procedure
A genetic algorithm enhanced with neighborhood structure for general flexible job shop scheduling with parallel batch processing machine
Mining global relativity consistency without neighborhood modeling for correspondence pruning
An enhanced two-step method for ranking generalized trapezoidal fuzzy numbers and its application to economic evaluation of projects
A linear time algorithm for minimum conic link path in a simple polygon
Handwritten numeral recognition based on simplified structural classification and fuzzy memberships
Analysis of stock market manipulations using knowledge discovery techniques applied to intraday trade prices
Modeling spatial layout for scene image understanding via a novel multiscale sum-product network
A multi-channel neural network model for multi-focus image fusion
Robust clustering with sparse corruption via ℓ2, 1, ℓ1 norm constraint and Laplacian regularization
Hierarchical Particle Swarm Optimization with Ortho-Cyclic Circles
Combined compromise for ideal solution (CoCoFISo): A multi-criteria decision-making based on the CoCoSo method algorithm
Framework to automatically determine the quality of open data catalogs
Multi-resolution Ramanujan packet decomposition: A novel global ultra-narrow band filtering method
Multi-image based self-embedding watermarking with lossless tampering recovery capability
EFT6D: An efficient fusion transformer network for 6D object pose estimation
A regret cross-efficiency ranking method considering consensus consistency
EfficientPEAL: Efficient prior-embedded attention learning for partially overlapping point cloud registration
A combination model based on multi-angle feature extraction and sentiment analysis: Application to EVs sales forecasting
The parallelization of a two-phase distributed hybrid ruin-and-recreate genetic algorithm for solving multi-objective vehicle routing problem with time windows
Wavelet denoising using principal component analysis
HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set
A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images
Forecasting Taiwan's major stock indices by the Nash nonlinear grey Bernoulli model
Distributed IoT services placement in fog environment using optimization-based evolutionary approaches
BTWM-HF: A behavioral three-way multi-attribute decision-making method with hesitant fuzzy information
A simulated-annealing-based approach for simultaneous parameter optimization and feature selection of back-propagation networks
Mining class-bridge rules based on rough sets
Evolutionary neural network modeling for forecasting the field failure data of repairable systems
Map-Reduce based tipping point scheduler for parallel image processing
The effects of innovation alliance on network structure and density of cluster
Empirical investigation of hyperparameter optimization for software defect count prediction
SAM-Net: Self-Attention based Feature Matching with Spatial Transformers and Knowledge Distillation
Fault diagnosis based on federated learning driven by dynamic expansion for model layers of imbalanced client
EMG feature evaluation for improving myoelectric pattern recognition robustness
The impact of network service performance on customer satisfaction and loyalty: High-speed internet service case in Korea
A novel prompt-tuning method: Incorporating scenario-specific concepts into a verbalizer
A reliability-based recommendation method to improve trust-aware recommender systems
Neural-based time series forecasting of loss of coolant accidents in nuclear power plants
GAN with opposition-based blocks and channel self-attention mechanism for image synthesis
Comparative analysis of sequence weighting approaches for mining time-interval weighted sequential patterns
A comparison of outlier detection algorithms for ITS data
A prediction approach based on long short-term memory networks for dynamic multiobjective optimization
Sine-Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering
Dynamic network embedding via structural attention
An assessment of 2-D and 3-D interest point detectors in volumetric images
Automated patch correctness predicting to fix software defect
Quantification and mitigation of border-level localization deviation for object detectors
A purchase-based market segmentation methodology
Automated recognition of robotic manipulation failures in high-throughput biodosimetry tool
Portfolio formation and optimization with continuous realignment: A suggested method for choosing the best portfolio of stocks using variable length NSGA-II
Increasing classification efficiency with multiple mirror classifiers
Code similarity detection through control statement and program features
Rethinking daily tourism demand forecasting: Theory-guided signal construction, platform-aware analysis, and interpretable ensemble deep learning model
Multi-criteria decision analysis for non-conformance diagnosis: A priority-based strategy combining data and business rules
A hybrid intelligent system for medical data classification
Exact algorithm for matrix-based project planning problems
Dataset-level color augmentation and multi-scale exploration methods for polyp segmentation
Web classification of conceptual entities using co-training
The theater of fake news spreading, who plays which role? A study on real graphs of spreading on Twitter
A dual-optimization strategy: de-noising and MCDM weighting for key frame extraction in deep learning
A fuzzy modeling for fuzzy portfolio optimization
A calibration approach based on Takagi-Sugeno fuzzy inference system for digital electronic compasses
Cooperative lane-changing for connected autonomous vehicles merging into dedicated lanes in mixed traffic flow
DBEF-Net: Diffusion-Based Boundary-Enhanced Fusion Network for medical image segmentation
A multimodal evolutionary algorithm with multi-niche cooperation
A new filter-based gene selection approach in the DNA microarray domain
Robust enhanced index tracking problem with mixture of distributions
An automatic zone detection system for safe landing of UAVs
Dynamic financial risk assessment with TOPSIS and drift diffusion models for partner selection of international engineering projects
A new branch-and-Benders-cut algorithm for the time-dependent vehicle routing problem
Using a hybrid rule-based approach in developing an intelligent tutoring system with knowledge acquisition and update capabilities
An improved K-medoids algorithm based on step increasing and optimizing medoids
Clean-label backdoor attack via sample-customized feature alignment
Selective and collaborative influence function for efficient recommendation unlearning
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction
Spindle thermal error modeling with linear and nonlinear hybrid tandem metamodel based on statistical and machine learning approaches
Enhancing cardiovascular risk assessment with advanced data balancing and domain knowledge-driven explainability
Spatio-temporal convolutional attention dynamic fusion network for regional collaborative wind power forecasting
A bi-fuzzy progressive transductive support vector machine(BFPTSVM) algorithm
Multi-objective robust parameter optimization using the extended and weighted k-means (EWK-means) clustering in laser powder bed fusion (LPBF)
A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods
Enhanced multimodal prediction via feature fusion and momentum buffering
A probabilistic expert system for predicting the risk of Legionella in evaporative installations
Retrieving video features for language acquisition
A scalable fuzzy support vector machine for fault detection in transportation systems
A hybrid multi-order fuzzy time series for forecasting stock markets
An integrated intelligent computing model for the interpretation of EMG based neuromuscular diseases
A multi-stage learning framework for intelligent system
DeepWalk with Reinforcement Learning (DWRL) for node embedding
Integration of type-2 fuzzy clustering and wavelet transform in a neural network based ECG classifier
Extreme energy difference for feature extraction of EEG signals
iJTyper: An effective type inference framework for incomplete java codes by integrating constraint- and statistics-based methods
A Novel Minutiae Triangulation Technique for Non-invertible Fingerprint Template Generation
Intelligent transportation control system design using wavelet neural network and PID-type learning algorithms
A hybrid deep learning approach for enhancing the Lorentzian curve fit algorithm for Schumann resonance
A hybrid CORELAP-association rules and fuzzy AHP framework for plant layout optimization in the para rubber plywood industry
Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset
Enhancing store layout decision with agent-based simulations of consumers' density
FedAgent: Federated Learning on Non-IID Data via Reinforcement Learning and Knowledge Distillation
Performance evaluation of machine learning algorithms for the prediction of particle Froude number (Frn) using hyper-parameter optimizations techniques
MH-FFNet: Leveraging mid-high frequency information for robust fine-grained face forgery detection
MOWM: Multiple Overlapping Window Method for RBF based missing value prediction on big data
A new quantum chaotic cuckoo search algorithm for data clustering
A novel stock trading utilizing long short term memory prediction and evolutionary operating-weights strategy
A lightweight CORONA-NET for COVID-19 detection in X-ray images
Investigating community structure in perspective of ego network
A recommendation algorithm based on fine-grained feature analysis
Towards comprehensive profile aggregation methods for group recommendation based on the latent factor model
Automatic classification of Tamil documents using vector space model and artificial neural network
Deriving preference order of open pit mines equipment through MADM methods: Application of modified VIKOR method
Harmony-search algorithm for 2D nearest neighbor quantum circuits realization
Prioritization of association rules in data mining: Multiple criteria decision approach
On the effect of the attention mechanism for automatic welding defects detection based on deep learning
An efficient pruning method for mining inter-sequence patterns based on pseudo-IDList
Open data for anomaly detection in maritime surveillance
Multi-analysis surveillance and dynamic distribution of computational resources: Towards extensible, robust, and efficient monitoring of environments
Data-mining based SQL injection attack detection using internal query trees
Novelty detection for the inspection of light-emitting diodes
HDFENet: High-frequency and dual-directional feature enhancement network for maize tassels counting
Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control
A music recommender system based on compact convolutional transformers
Combining heterogeneous sources in an interactive multimedia content retrieval model
Analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers
Goal programming approach to solving network design problem with multiple objectives and demand uncertainty
Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making
A high-quality self-supervised image denoising method based on SDDW-GAN and CHRNet
A survey on preprocessing and classification techniques for acoustic scene
Dispersion for the point-feature cartographic label placement problem
A fuzzy interactive method for a class of bilevel multiobjective programming problem
Hyperspectral image super-resolution based on Mamba and bidirectional feature fusion network
Representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies
EA-based hyperparameter optimization of hybrid deep learning models for effective drug-target interactions prediction
Semi-supervised learning-enhanced surrogate-assisted evolutionary search based on a pareto infill criterion for geological energy production optimization
Comparison of multilayer perceptron training algorithms for portal venous doppler signals in the cirrhosis disease
Accurate and prompt answering framework based on customer reviews and question-answer pairs
Dynamic programming prediction errors of recurrent neural fuzzy networks for speech recognition
Stable first-arrival picking through adaptive threshold determination and spatial constraint clustering
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks
i BUST: An intelligent behavioural trust model for securing industrial cyber-physical systems
Gastro-intestinal tract inspired computational model for myocardial infarction diagnosis
Nonparametric control algorithms for a pneumatic artificial muscle
A combinatory framework of Web 2.0 mashup tools, OWL-S and UDDI
An image-based segmentation recommender using crowdsourcing and transfer learning for skin lesion extraction
A comparative study of various intelligent based controllers for speed control of IPMSM drives in the field-weakening region
Predicting tweet impact using a novel evidential reasoning prediction method
Discovering mobile users' moving behaviors in wireless networks