yusuke1997/dblp-id-title huggingface dataset:
A mixed GA-PSO-based approach for performance-based design optimization of 2D reinforced concrete special moment-resisting frames
A grey artificial bee colony algorithm
Robust coordination of overcurrent relays for several simultaneous faults in wind power generation systems
Cooperative driving route planning based on asymmetric multi-agent path planning problem with limited service area constraints
Indicator selection with committee decision of filter methods for stock market price trend in ISE
Artificial neural networks (Fuzzy ARTMAP) analysis of the data obtained with an electronic tongue applied to a ham-curing process with different salt formulations
Multi-objective optimization-based TOPSIS method for sustainable product design under epistemic uncertainty
Enhanced parallel Differential Evolution algorithm for problems in computational systems biology
A self-organizing cascade neural network with random weights for nonlinear system modeling
Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures
Ant based Pareto optimal solution for QoS aware energy efficient multicast in wireless networks
Bayesian neural networks for virtual flow metering: An empirical study
Damage localization in irregular shape structures using intelligent FE model updating approach with a new hybrid objective function and social swarm algorithm
Robust wireless key agreement based on channel state information and fuzzy commitment
Optimization assisted bidirectional gated recurrent unit for healthcare monitoring system in big-data
A nature-inspired feature selection approach based on hypercomplex information
Dynamic path planning via Dueling Double Deep Q-Network (D3QN) with prioritized experience replay
Multimodal sentiment analysis using deep learning and fuzzy logic: A comprehensive survey
Type-2 fuzzy wavelet networks (T2FWN) for system identification using fuzzy differential and Lyapunov stability algorithm
High spectral purity digital direct synthesizer implementation by means of a fuzzy approximator
Optimizing the DNA fragment assembly using metaheuristic-based overlap layout consensus approach
A bilayer segmentation-recombination network for accurate segmentation of overlapping C. elegans
Optimal production and maintenance scheduling for a degrading multi-failure modes single-machine production environment
Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization
Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets
Modelling and scheduling multi-objective flow shop problems with interfering jobs
A conformal prediction inspired approach for distribution regression with random Fourier features
TLTD: Transfer Learning for Tabular Data
Complex generalized-mean neuron model and its applications
Evaluation of renewable energy sources in China using an interval type-2 fuzzy large-scale group risk evaluation method
Convolution smoothing and non-convex regularization for support vector machine in high dimensions
Consensus modeling with cost chance constraint under uncertainty opinions
Genetic Algorithm-based Optimized Cluster Head selection for single and multiple data sinks in Heterogeneous Wireless Sensor Network
A two-stage fuzzy neural approach for credit risk assessment in a Brazilian credit card company
Multi-objective optimal power flow of thermal-wind-solar power system using an adaptive geometry estimation based multi-objective differential evolution
Medical image segmentation network based on feature filtering with low number of parameters
Modified A* Algorithm integrated with ant colony optimization for multi-objective route-finding; case study: Yazd
Enhancing nonlinear dependencies of Mamba via negative feedback for time series forecasting
A comparative study of swarm intelligence and evolutionary algorithms on urban land readjustment problem
Multiple imputation method of missing credit risk assessment data based on generative adversarial networks
Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time
Neuroevolution with box mutation: An adaptive and modular framework for evolving deep neural networks
A differential evolution based henry gas solubility optimizer for dynamic performance optimization problems of PRO system
Rotation-invariant texture image retrieval using particle swarm optimization and support vector regression
Human scalp EEG processing: Various soft computing approaches
A fuzzy-based multimodal approach for interpretable fake news detection
FGSS: Federated global self-supervised framework for large-scale unlabeled data
Bi-sparse optimization-based least squares regression
A multi-strategy fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
Classification of multiple motor imagery using deep convolutional neural networks and spatial filters
Application of neural networks in forecasting engine systems reliability
A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems
An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks
An innovative aggregation operator for enhanced decision-making: A study on interval-valued Pythagorean fuzzy soft sets in material selection
A multi-swarm cooperative multistage perturbation guiding particle swarm optimizer
A general methodology for online TS fuzzy modeling by the extended Kalman filter
Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach
A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection
A multivariate migrating birds optimization algorithm based on disjunctive graph neighborhood for scenic spot vehicle scheduling
A three-way classification with fuzzy decision trees
Creating hard-to-solve instances of travelling salesman problem
Multi-objective optimization algorithms for freight allocation in a food grain supply chain
Comparison matrix geometric index: A qualitative online reputation metric
Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images
Transferable adversarial attacks against face recognition using surrogate model fine-tuning
Weighted differential evolution heuristics for improved multilayer piezoelectric transducer design
Adaptation in differential evolution: A numerical comparison
An artificial bee colony algorithm with adaptive heterogeneous competition for global optimization problems
Hybrid bio-Inspired computational intelligence techniques for solving power system optimization problems: A comprehensive survey
Application of GRNN and multivariate hybrid approach to predict and optimize WEDM responses for Ni-Ti shape memory alloy
Evolutionary neural architecture search for remaining useful life prediction
Incorporated vehicle lateral control strategy for stability and enhanced energy saving in distributed drive hybrid bus
A differential evolution algorithm with diversity dynamic adjustment and two-phase constraint handling strategy for solving a pension fund investment problem under market uncertainty
Link prediction for attribute and structure learning based on attention mechanism
Multi-scene ancient Chinese text recognition with deep coupled alignments
PointSEN: Understanding point cloud via shape-aware embedding and adaptive group normalization
Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy
Multilayer neurocontrol of servo electromechanical systems with disturbance compensation
Ecotourism supply chain during the COVID-19 pandemic: A real case study
Applying a combined fuzzy systems and GARCH model to adaptively forecast stock market volatility
Artificial memory optimization
Fuzzy FMEA application to improve purchasing process in a public hospital
An embedded deep fuzzy association model for learning and explanation
Incorporating self-organizing map with text mining techniques for text hierarchy generation
A quasi-virtual online analyser based on an artificial neural networks and offline measurements to predict purities of raffinate/extract in simulated moving bed processes
A novel and effective particle swarm optimization like algorithm with extrapolation technique
Credibilistic multi-period portfolio optimization model with bankruptcy control and affine recourse
Constraint-handling techniques within differential evolution for solving process engineering problems
SCTWC: An online semi-supervised clustering approach to topical web crawlers
Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection
An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation
An efficient k-NN-based rao optimization method for optimal discrete sizing of truss structures
Simultaneous instance and feature selection and weighting using evolutionary computation: Proposal and study
Fuzzy clustering of human motor motion
Novel operations of PLTSs based on the disparity degrees of linguistic terms and their use in designing the probabilistic linguistic ELECTRE III method
Intelligent computing for Mathieu's systems for parameter excitation, vertically driven pendulum and dusty plasma models
Commentary on "Type-2 intuitionistic fuzzy matrix games based on a new distance measure: Application to Biogas-plant implementation problem" [Applied Soft Computing 106 (2021) 107357]
The evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach
Performance analysis and prediction of asymmetric two-level priority polling system based on BP neural network
Modelling of urological dysfunctions with neurological etiology by means of their centres involved
Probabilistic linguistic vector-term set and its application in group decision making with multi-granular linguistic information
Soft computing system for bank performance prediction
A modified crow search algorithm (MCSA) for solving economic load dispatch problem
Multiple colony bees algorithm for continuous spaces
Chaotic property based multi-interval informer modeling method for long-term photovoltaic power generation prediction
Adversarial example detection using semantic graph matching
Evolutionary computation-based multitask learning network for railway passenger comfort evaluation from EEG signals
Some interesting properties of the fuzzy linguistic model based on discrete fuzzy numbers to manage hesitant fuzzy linguistic information
Partitioned Heronian means based on linguistic intuitionistic fuzzy numbers for dealing with multi-attribute group decision making
Contrastive learning with hard negative samples for chest X-ray multi-label classification
Maintenance decision methodology of petrochemical plant based on fuzzy curvelet neural network
A comprehensive state-of-the-art survey on the recent modified and hybrid analytic hierarchy process approaches
Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks
A virtual try-on network with arm region preservation
Multi-objective framework for cost-effective OTN switch placement using NSGA-II with embedded domain knowledge
Field features: The impact in learning to rank approaches
Neuro fuzzy schemes for fault detection in power transformer
A novel criterion for nonlinear time-delay systems using LMI fuzzy Lyapunov method
A metaheuristic approach for optical network optimization problems
A differential evolution based neural network approach to nonlinear system identification
Explainable reinforcement learning with adaptive feature selection for stock trading
Differential evolution with spherical search algorithm for nonlinear engineering and infectious disease optimization problems
Parameter identification using adaptive differential evolution algorithm applied to robust control of uncertain nonlinear systems
Adaptive deep learning models for efficient multivariate anomaly detection in IoT infrastructures
Dynamic adaptive graph convolutional transformer with broad learning system for multi-dimensional chaotic time series prediction
Acceleration of EC convergence with landscape visualization and human intervention
Timing of resources exploration in the behavior of firm - Empirical simulation by intelligent hybrid model
Effectively answering why questions on structural graph clustering
Bi-objective trapezoidal fuzzy mixed integer linear program-based distribution center location decision for large-scale emergencies
Real-time prediction of COVID-19 patients health situations using Artificial Neural Networks and Fuzzy Interval Mathematical modeling
Growable Genetic Algorithm with Heuristic-based Local Search for multi-dimensional resources scheduling of cloud computing
FuBAKE: Bayesian gamified fuzzy ant colony optimization for semantic-driven unsupervised keyphrase extraction
A linear assignment method for multiple-criteria decision analysis with interval type-2 fuzzy sets
Possibilistic modeling for fingerprint image quality assessment in Automatic Identification Systems
A Soft Computing Approach for group decision making: A supply chain management application
Classification of spatio-temporal trajectories from Volunteer Geographic Information through fuzzy rules
Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting
An efficient equilibrium optimizer with mutation strategy for numerical optimization
Co-evolutionary learning with strategic coalition for multiagents
Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment
A genetic programming-based feature selection and fusion for facial expression recognition
Chain-of-thought driven dynamic prompting and computation method
Feedback controller design for variable voltage variable speed induction motor drive via Ant Colony Optimization
An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance
Discovery of arbitrarily shaped significant clusters in spatial point data with noise
Similar case matching with explicit knowledge-enhanced text representation
Underwater image quality enhancement through integrated color model with Rayleigh distribution
A multi-objective approach for solving the survivable network design problem with simultaneous unicast and anycast flows
Mathematical analysis of generative adversarial networks based on complex picture fuzzy soft information
Intelligent computing to analyze the dynamics of Magnetohydrodynamic flow over stretchable rotating disk model
A stochastic algorithm for makespan minimized multi-agent path planning in discrete space
A hybrid algorithm for feature subset selection in high-dimensional datasets using FICA and IWSSr algorithm
Large scale economic dispatch of power systems using oppositional invasive weed optimization
Immune/Neural approach to characterize salivary gland neoplasms (SGN)
Preference ratio-based maximum operator approximation and its application in fuzzy flow shop scheduling
Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem
Lessons learned from using some bio-inspired optimizers for real-time controller design for a low-cost electrohydraulic system
Event-triggered controller design of nonlinear discrete-time networked control systems in T-S fuzzy model
Toxicity risks evaluation of unknown FDA biotransformed drugs based on a multi-objective feature selection approach
Social-aware graph contrastive learning for recommender systems
GA-SVM based feature selection and parameter optimization in hospitalization expense modeling
A Swin Transformer based on multi-directional-shift window attention and inductive bias for diagnosis of pleural effusion
Chaotic modelling of the generalized self-shrinking generator
Improved non-maximum suppression for object detection using harmony search algorithm
Learning regularity in an economic time-series for structure prediction
A cooperative-competitive master-slave global-best harmony search for ANN optimization and water-quality prediction
Pheromone-guided parallel rough hypercuboid attribute reduction algorithm
A geometrical method for consensus building in GDM with incomplete heterogeneous preference information
Corrective action planning using RBF neural network
Relieving popularity bias in recommender systems via user group-level augmentation
An application of PSO technique for harmonic elimination in a PWM inverter
Application of teaching learning based optimization procedure for the development of SVM learned EDM process and its pseudo Pareto optimization
A novel general approach to evaluating the PCBA for components with different membership function
FER-CHC: Facial expression recognition with cross-hierarchy contrast
Deep learned features selection algorithm: Removal operation of anomaly feature maps (RO-AFM)
Ensemble methods based on characterization of dynamism for dynamic multi-objective optimization
An automata algorithm for generating trusted graphs in online social networks
Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning
Minimizing the resource consumption of heterogeneous batch-processing machines using a copula-based estimation of distribution algorithm
An efficient metamodel-based multi-objective multidisciplinary design optimization framework
Parameter estimation of a generalized Lotka-Volterra system using a modified PSO algorithm
A systematic approach to multi-task learning from time-series data
Situation-aware model for multi-objective decision making in ambient intelligence
Evolving accuracy: A genetic algorithm to improve election night forecasts
Digital transformation in the defense industry: A maturity model combining SF-AHP and SF-TODIM approaches
Automated search of an optimal configuration of FETI-based algorithms with the swarm and evolutionary algorithms
Application of adaptive fuzzy control to ac machines
Designing a reverse logistics system for multi-source medical waste clean-up in the aftermath of disaster under uncertain environment
Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network
An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets
Enhancing prediction accuracy for high-dimensional small-sample-size microarray data cancer by combining chebyshev interpolation with new dual-net GAN
Hierarchical object detection for very high-resolution satellite images
Neutrosophic hesitant fuzzy PROMETHEE and its application to location selection of migrating swarm
Neural-swarm visual saliency for path following
Automatic generation of a hybrid algorithm for the maximum independent set problem using genetic programming
Towards the fast and robust optimal design of wireless body area networks
Designing a testing kit supply network for suspected COVID-19 cases under mixed uncertainty approach
Information granularity model for evolving context-based fuzzy system
Application of computational intelligence technique for estimating superconducting transition temperature of YBCO superconductors
Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation
An offbeat bolstered swarm integrated ensemble learning (BSEL) model for heart disease diagnosis and classification
Two-stage hybrid flow shop scheduling on parallel batching machines considering a job-dependent deteriorating effect and non-identical job sizes
ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraints
Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation
Wind power prediction using deep neural network based meta regression and transfer learning
A hierarchical collaborative multi-agent deep reinforcement learning framework for distributed flexible job shop scheduling problems considering energy efficiency and dynamic disruption in IIoTs
Adaptive binary artificial bee colony algorithm
Stock price forecasting using PSO hypertuned neural nets and ensembling
A co-evolutionary genetic algorithm with knowledge transfer for multi-objective capacitated vehicle routing problems
Choice function based hyper-heuristics for multi-objective optimization
Privacy preserving sub-feature selection in distributed data mining
A spiking neural network (SNN) forecast engine for short-term electrical load forecasting
Fuzzy fault tree analysis for patient safety risk modeling in healthcare under uncertainty
Twin K-class support vector classification with pinball loss
Relation-based granules to represent relational data and patterns
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays
A distributed charging strategy based on day ahead price model for PV-powered electric vehicle charging station
Hybrid surrogate-based optimization using space reduction (HSOSR) for expensive black-box functions
Dimensionality reduction based on rough set theory: A review
Source-driven enhanced semantic style transfer for addressing BCI illiteracy in subject-independent EEG-based motor imagery classification
Nonlinear system control using self-evolving neural fuzzy inference networks with reinforcement evolutionary learning
A soft computing based multi-objective optimization approach for automatic prediction of software cost models
Analyzing the effectiveness of semi-supervised learning approaches for opinion spam classification
User trustworthiness in online social networks: A systematic review
A complex network-based vaccination strategy for infectious diseases
Multi-objective closed-loop supply chain inventory model with learning and forgetting under carbon emission policies using NSGA-II, MOPSO, and TOPSIS
A method for predicting the network security situation based on hidden BRB model and revised CMA-ES algorithm
Self-adapting control parameters in particle swarm optimization
Chaotic ant swarm approach for data clustering
MOEA/D-based participant selection method for crowdsensing with social awareness
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring
Modelling three-echelon warm-water fish supply chain: A bi-level optimization approach under Nash-Cournot equilibrium
An effective hybrid harmony search-based algorithm for solving multidimensional knapsack problems
A hybrid heuristic for the overlapping cluster editing problem
Retraction notice to "Video Associated Cross-Modal Recommendation Algorithm Based on Deep Learning" [Appl. Soft Comput. J. 82 (2019) 105597]
Heart sound segmentation via Duration Long-Short Term Memory neural network
L2-Loss nonparallel bounded support vector machine for robust classification and its DCD-type solver
Progressive-fidelity computation of the genetic algorithm for energy-efficient virtual machine placement in cloud data centers
Error correction method based on data transformational GM(1, 1) and application on tax forecasting
A cold-start aware group recommendation method based on an augmented graph and knowledge distillation
Novel fuzzy linguistic based mathematical model to assess risk of invasive alien plant species
An integrated logarithmic fuzzy preference programming based methodology for optimum maintenance strategies selection
No-reference image quality assessment using modified extreme learning machine classifier
Simulation and evaluation of fuzzy differential equations by fuzzy neural network
TomFusioNet: A tomato crop analysis framework for mobile applications using the multi-objective optimization based late fusion of deep models and background elimination
Social network analysis for customer churn prediction
Shape-constrained multi-objective genetic programming for symbolic regression