yusuke1997/dblp-id-title huggingface dataset:
A Rule-Based Symbiotic MOdified Differential Evolution for Self-Organizing Neuro-Fuzzy Systems
On the convergence of multivariant optimization algorithm
On the measure of contagion in fuzzy financial networks
Analysis and control of variability by using fuzzy individual control charts
Applications of Hofstede's cultural dimensions in 50 countries using TFN-generalized Choquet integrals
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines
An effective iterative greedy algorithm for distributed blocking flowshop scheduling problem with balanced energy costs criterion
A transformer-based self-supervised pre-training model for time series prediction
An Off-policy maximum entropy deep reinforcement learning method for data-driven secondary frequency control of island microgrid
Connectionist model for solving static structural problems with fuzzy parameters
Limited budget-based consensus model for large group decision making with hesitant fuzzy linguistic information
Binary segmentation based on visual attention consistency under background-change
Network extension planning towards resilient urban critical infrastructures using deep reinforcement learning
Robust adaptive support vector machine based on multi-sensor information fusion for human behavior recognition
Adolescent Identity Search Algorithm (AISA): A novel metaheuristic approach for solving optimization problems
An in-depth analysis of ensemble multi-criteria decision making: A comprehensive guide to terminology, design, applications, evaluations, and future prospects
Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach
AI software selection for cybersecurity auditing using neutrosophic CRITIC CODAS
Fuzzy based load shedding strategies for avoiding voltage collapse
MPC using an on-line TS fuzzy learning approach with application to autonomous driving
Variable-granularity distance measures for interval-valued fuzzy sets
Using self-organizing maps to model turnover of sales agents in a call center
Mining gene structures to inject artificial chromosomes for genetic algorithm in single machine scheduling problems
Unveiling the knowledge spillover risk in high-tech industry supply chain: A multi-criteria classification assessment method
Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay
Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programming
Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis
Neuroevolved bi-directional LSTM applied to zero emission zones management in urban transport
Incorporation of prior knowledge in neural network model for continuous cooling of steel using genetic algorithm
Statistical adaptive modeling for kitchen waste detection in complex scenes
BERT models for Brazilian Portuguese: Pretraining, evaluation and tokenization analysis
Evolutionary algorithms for modeling non-equilibrium population
A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction
A matheuristic algorithm for the vehicle routing problem with cross-docking
Explainable GMDH-type neural networks for decision making: Case of medical diagnostics
Fast retrieval of hidden data using enhanced hidden Markov model in video steganography
Study of genetic algorithm performance through design of multi-step LC compensator for time-varying nonlinear loads
Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach
Syntax-type-aware graph convolutional networks for natural language understanding
Simulating non-stationary operators in search algorithms
An efficient hybrid clustering method based on improved cuckoo optimization and modified particle swarm optimization algorithms
Interval reliability sensitivity analysis using Monte Carlo simulation and mouth brooding fish algorithm (MBF)
A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms
Analytical modelling of a magnetization curve obtained by the measurements of magnetic materials' properties using evolutionary algorithms
Designing a hierarchical fuzzy logic controller using the differential evolution approach
A Differential Evolution based approach for the production scheduling of open pit mines with or without the condition of grade uncertainty
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness
Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network
Concreted solutions to fuzzy linear fractional differential equations
Hierarchical parallel search with automatic parameter configuration for particle swarm optimization
Decoupled optimal design for power electronic circuits with adaptive migration in coevolutionary environment
An interpretable reasoning schema for fuzzy knowledge graph under interval Type-2 fuzzy model
Use of stochastic nature-inspired population-based algorithms within an online adaptive controller for mechatronic devices
Smart control techniques for design of TCSC and PSS for stability enhancement of dynamical power system
Detection and sizing of metal-loss defects in oil and gas pipelines using pattern-adapted wavelets and machine learning
Digital technology implementation and impact of artificial intelligence based on bipolar complex fuzzy Schweizer-Sklar power aggregation operators
Business process outsourcing enhanced by fuzzy linguistic consensus model
An effective iterated greedy algorithm for PCBs grouping problem to minimize setup times
The application of gradient evolution algorithm to an intuitionistic fuzzy neural network for forecasting medical cost of acute hepatitis treatment in Taiwan
Modeling vibration frequencies of annular plates by regression based neural network
Optimal reactive power dispatch by particle swarm optimization with an aging leader and challengers
A triple rewards framework for multi-agent reinforcement learning
EMCDM: Efficient model checking by data mining for verification of complex software systems specified through architectural styles
A dynamic interval type-2 fuzzy customer segmentation model and its application in E-commerce
A fast and efficient clustering based fuzzy time series algorithm (FEFTS) for regression and classification
A human learning optimization algorithm with reasoning learning
An adaptive multimedia streaming dissemination system for vehicular networks
Feature selection in a neighborhood decision information system with application to single cell RNA data classification
Outlier detection based on multisource information fusion in incomplete mixed data
A genetic algorithm optimized Morlet wavelet artificial neural network to study the dynamics of nonlinear Troesch's system
Personalized mining of web documents using link structures and fuzzy concept networks
Uncertainty representation using fuzzy-entropy approach: Special application in remotely sensed high-resolution satellite images (RSHRSIs)
Towards robust partially supervised multi-structure medical image segmentation on small-scale data
Direct adaptive neural control for affine nonlinear systems
An intelligence-based route choice model for pedestrian flow in a transportation station
Two-stage EDA-based approach for all optical WDM mesh network survivability under SRLG constraints
A genetic algorithm for optimization problems with fuzzy relation constraints using max-product composition
A comprehensive survey on design and application of autoencoder in deep learning
Fractional fixed-structure H∞ controller design using Augmented Lagrangian Particle Swarm Optimization with Fractional Order Velocity
A genetic algorithm based on dual hesitant fuzzy preference relations for consensus group decision making
A whale optimization algorithm with combined mutation and removing similarity for global optimization and multilevel thresholding image segmentation
Predicting the adoption of cloud-based technology using fuzzy analytic hierarchy process and structural equation modelling approaches
Green Swarm: Greener routes with bio-inspired techniques
Ordinal Priority Approach (OPA) in Multiple Attribute Decision-Making
A multi-criteria framework for addressing digitalization solutions of medical system under interval-valued T-spherical fuzzy information
Feature selection using guided population based genetic algorithm with modified crossover and parent selection
A novel version of k nearest neighbor: Dependent nearest neighbor
Soft computing methods in motor fault diagnosis
Externally growing self-organizing maps and its application to e-mail database visualization and exploration
A flexible algorithm for fault diagnosis in a centrifugal pump with corrupted data and noise based on ANN and support vector machine with hyper-parameters optimization
Time series prediction via elastic net regularization integrating partial autocorrelation
Developing a forecasting model for time series based on clustering and deep learning algorithms
An effective detection algorithm for small UAV based on lightweight You-Only-Look-Once (YOLOv4-L) approach
A new distance measure for interval valued intuitionistic fuzzy sets and its application to group decision making problems with incomplete weights information
MIMO CMAC neural network classifier for solving classification problems
Multidimensional dynamic attention for multivariate time series forecasting
Artificial bee colony algorithm solution for optimal reactive power flow
Discrete sizing/layout/topology optimization of truss structures with an advanced Jaya algorithm
An artificial immune differential evolution algorithm for scheduling a distributed heterogeneous flexible flowshop
An evolutionary gray gradient algorithm for multilevel thresholding of brain MR images using soft computing techniques
Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction
The use of soft computing to classification of some weeds based on video processing
A fuzzy multi-objective optimization model for sustainable healthcare supply chain network design
Breast cancer classification using Deep Q Learning (DQL) and gorilla troops optimization (GTO)
A multi-start central force optimization for global optimization
Web search result diversification by combining global and local document features
Anomaly detection and segmentation in industrial images using multi-scale reverse distillation
A novel hybrid feature selection method based on dynamic feature importance
Prediction of nonlinear structural response under wind loads using deep learning techniques
Generative fuzzer-driven vulnerability detection in the Internet of Things networks
A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion
Fast-Dynamic Grey Wolf Optimizer for solving model order reduction of bilinear systems based on multi-moment matching technique
Research orientation and novelty discriminant for new metaheuristic algorithms
AdvancedScoreCAM: Enhancing visual explainability through hierarchical upsampling
ED-ACNN: Novel attention convolutional neural network based on encoder-decoder framework for human traffic prediction
A comparison of hybrid genetic algorithm and hybrid particle swarm optimization to minimize makespan for assembly job shop
A soft sensor net based on the symplectic decomposition-global attention reconstruction architecture for biopharmaceutical industry
ILClass: Error-driven antecedent learning for evolving Takagi-Sugeno classification systems
Virus control optimizer based on the prevention and control mechanism of COVID-19 for engineering optimization problems
An Explainable AI framework for credit evaluation and analysis
Binary search based boundary elimination selection in many-objective evolutionary optimization
An effective iterated greedy algorithm for solving a multi-compartment AGV scheduling problem in a matrix manufacturing workshop
Genetic algorithm with ant colony optimization (GA-ACO) for multiple sequence alignment
New faster normalized neural networks for sub-matrix detection using cross correlation in the frequency domain and matrix decomposition
Metric tools for sensitivity analysis with applications to neural networks
Heuristic routing with bandwidth and energy constraints in sensor networks
Designing a cryptocurrency trading system with deep reinforcement learning utilizing LSTM neural networks and XGBoost feature selection
A multi-granulation decision-theoretic rough set method for distributed fc-decision information systems: An application in medical diagnosis
A modified two-tuple FLC model for evaluating the performance of SCM: By the Six Sigma DMAIC process
Robustness and performance of Deep Reinforcement Learning
Intuitionistic fuzzy strength preference in the graph model considering internal and external consensus
Cross-functional group decision making with heterogeneous cooperation for digital transformation in supply chain resilience
Scalable benchmarks and performance measures for dynamic multi-objective optimization
Effects of dataset characteristics on the performance of feature selection techniques
Optimal DG placement by multi-objective opposition based chaotic differential evolution for techno-economic analysis
Network embedding on metric of relation
A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function
A linguistic multi-criteria decision-aiding system to support university career services
Brain tumor segmentation with missing MRI modalities using edge aware discriminative feature fusion based transformer U-net
Multi-objective genetic model for co-clustering ensemble
A new minimum pheromone threshold strategy (MPTS) for max-min ant system
Enhancing the effectiveness of Ant Colony Decision Tree algorithms by co-learning
Fuzzy anomaly scores for Isolation Forest
On-line constructive fuzzy sliding-mode control for voice coil motors
A consensus model for hesitant fuzzy preference relations and its application in water allocation management
Novel computing paradigms for parameter estimation in Hammerstein controlled auto regressive auto regressive moving average systems
A new approximate belief mutual information derived from the developed fuzzy mutual information considering belief negation
Grey adaptive growing CMAC network
A new method of soft computing to estimate the economic contribution rate of education in China
Digital ants as the best cicerones for museum visitors
Continuous greedy randomized adaptive search procedure for data clustering
A direction vector-guided multi-objective evolutionary algorithm for variable linkages problems
An interactive evolutionary multitask optimization algorithm for variables group-level knowledge transfer
Adaptive optimal fuzzy logic based energy management in multi-energy microgrid considering operational uncertainties
The effect of diversity maintenance on prediction in dynamic multi-objective optimization
Improved Alopex-based evolutionary algorithm (AEA) by quadratic interpolation and its application to kinetic parameter estimations
Cross-platform dynamic goods recommendation system based on reinforcement learning and social networks
Corrigendum to "Adaptive sliding mode control with hysteresis compensation-based neuroevolution for motion tracking of piezoelectric actuator" [Appl. Soft Comput. 115 (2022) 108257]
A multi-objective approach for the motion planning of redundant manipulators
Requirement ambiguity and fuzziness in large-scale projects: The problem and potential solutions
A fair, preference-based posted price resale e-market model and clearing heuristics for circular economy
Colour quantization with Ant-tree
Prediction of ground motion parameters using randomized ANFIS (RANFIS)
Automatic clustering using nature-inspired metaheuristics: A survey
Local search based metaheuristics for the robust vehicle routing problem with discrete scenarios
Large-scale complex ontology matching through anchor-based semantic partitioning technique and confidence matrix based evolutionary algorithm
One-against-all ensemble for multiclass pattern classification
Compiling network traffic into rules using soft computing methods for the detection of flooding attacks
A credit ranking model for a parafinancial company based on the ELECTRE-III method and a multiobjective evolutionary algorithm
Assessing innovation capabilities of manufacturing companies by combination of unsupervised and supervised machine learning approaches
A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization
A new fuzzy linear assignment method for multi-attribute decision making with an application to spare parts inventory classification
Fuzzy-neural approaches with example post-classification for estimating job cycle time in a wafer fab
Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction
Assessment of skills and adaptive learning for parametric exercises combining knowledge spaces and item response theory
Some Muirhead mean operators for probabilistic linguistic term sets and their applications to multiple attribute decision-making
WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective
AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution
A new fractional-order general type-2 fuzzy predictive control system and its application for glucose level regulation
A particle dynamical system algorithm to find the sparse linear complementary solutions
Non-parametric particle swarm optimization for global optimization
An improved evolutionary algorithm for handling many-objective optimization problems
QoS decomposition for service composition using genetic algorithm
Pareto optimality and game theory approach for optimal deployment of DG in radial distribution system to improve techno-economic benefits
Corrigendum to "Pigmented skin disease classification via deep learning with an attention mechanism" [Appl. Soft Comput. 170 (2025), 112571]
Numerical treatment for boundary value problems of Pantograph functional differential equation using computational intelligence algorithms
The design of multiple linear regression models using a genetic algorithm to diagnose initial short-circuit faults in 3-phase induction motors
Text-guided and Edge-guided fusion network for enhancing medical image segmentation
Random Binary Search Trees for approximate nearest neighbour search in binary spaces
Predicting the climbing rate of slip formwork systems using linear biogeography-based programming
An ensemble deep learning model for human activity analysis using wearable sensory data
Integrated outranking techniques based on spherical fuzzy information for the digitalization of transportation system
Short-term global horizontal irradiance forecasting using weather classified categorical boosting
Multi-objective vehicle routing problem with time windows using goal programming and genetic algorithm
Adaptive extreme learning machine using soft computing fuzzy propositions - Validating operating state of solar energy system
Differential evolution with nearest better clustering for multimodal multiobjective optimization
A survey on deep learning applications in wheat phenotyping
A hybrid stock selection model using genetic algorithms and support vector regression
Detail-aware semantic segmentation network for brain tumor MRI images combining multi-frequency directional filtering and lifting wavelets
Adaptive temporal diffusion-based reconstruction model for industrial dynamic uncertain process monitoring
M-Net based stacked autoencoder for ransomware detection using blockchain data
Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1: System description
Sentiment analysis of online reviews for electric vehicles using the SMAA-2 method and interval type-2 fuzzy sets
Effective Bi-decoding networks for rail-surface defect detection by knowledge distillation
LSTM-Markov based efficient anomaly detection algorithm for IoT environment
Optimising small-world properties in VANETs: Centralised and distributed overlay approaches
A multi-resolution wavelet neural network approach for fouling resistance forecasting of a plate heat exchanger
A solution-driven multilevel approach for graph coloring
A study of crude oil futures price volatility based on multi-dimensional data from event-driven and deep learning perspectives
Wind power prediction using a three stage genetic ensemble and auxiliary predictor
Scalable Fuzzy Rough approximate reduct computation in hyperbox space
A Bayesian regularized feed-forward neural network model for conductivity prediction of PS/MWCNT nanocomposite film coatings
Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation
Community detection in networks: A rough sets and consensus clustering approach
Repository and Mutation based Particle Swarm Optimization (RMPSO): A new PSO variant applied to reconstruction of Gene Regulatory Network
Optimal design of a 3D-printed scaffold using intelligent evolutionary algorithms
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection
High performance EEG signal classification using classifiability and the Twin SVM
Coalition formation mechanism in multi-agent systems based on genetic algorithms
An integrated decision framework for evaluating and selecting e-learning products
Transfer learning accelerating complex parameters optimizations based on quantum-inspired parallel multi-layer Monte Carlo algorithm: Theory, application, implementation
The implementation of a smartphone-based fall detection system using a high-level fuzzy Petri net
Knowledge-based duty cycle estimation in wireless sensor networks: Application for sound pressure monitoring
Neuro fuzzy and punctual kriging based filter for image restoration
Dynamic prediction and control of a tunnel boring machine with a particle swarm optimization-random forest algorithm and an integrated digital twin
Bayesian inference for mining semiconductor manufacturing big data for yield enhancement and smart production to empower industry 4.0
The role of decision tree representation in regression problems - An evolutionary perspective
Solving online dynamic time-linkage problems under unreliable prediction
Complex network based machine learning method for predicting circuit timing
Prediction of bank telephone marketing results based on improved whale algorithms optimizing S_Kohonen network
A multi-state fusion informer integrating transfer learning for metal tube bending early wrinkling prediction
Opinions-integrated consensus models for large-scale group decision-making in emergency medical capability evaluation
An intelligently adjusted carbon price forecasting approach based on breakpoints segmentation, feature selection and adaptive machine learning
MGC-DMF: A traffic flow forecasting method based on multi-graph spatio-temporal convolution and dynamic metric fusion with multi-source basic information
An echo state network based adaptive dynamic programming approach for time-varying parameters optimization with application in algal bloom prediction
An analysis of facial recognition in banking disputes through data scraping from São Paulo court of appeal decisions
A critical review on theoretical drawbacks and mathematical incorrect assumptions in fuzzy OR methods: Review from 2010 to 2020
Neural network-based meta-modelling approach for estimating spatial distribution of air pollutant levels
Genetic algorithm for planning cable telecommunication networks
Preference-based multi-objective evolutionary algorithm with linear combination scalarizing function and reference point adjustment
Selection of optimal electronic toll collection system for India: A subjective-fuzzy decision making approach