yusuke1997/dblp-id-title huggingface dataset:
Sensor and actuator fault-tolerant control based on fuzzy unknown input observer: A polynomial fuzzy approach
Interactive genetic algorithms with large population and semi-supervised learning
Comprehensive evaluation of twin SVM based classifiers on UCI datasets
Metaheuristics optimization applied to PI controllers tuning of a DTC-SVM drive for three-phase induction motors
Multi-view self-supervised learning on heterogeneous graphs for recommendation
Adaptive Knowledge Transfer in Multifactorial Evolutionary Algorithm for the Clustered Minimum Routing Cost Problem
A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization
Weighted samples based semi-supervised classification
Learning directed locomotion in modular robots with evolvable morphologies
Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods
A fuzzy grouping-based memetic algorithm for multi-depot multi-UAV power pole inspection
Nonlinear dynamic system identification and control via constructivism inspired neural network
Incomplete data classification with view-based decision tree
A multi-objective ensemble learning framework for designing low-carbon ultra-high performance concrete (UHPC)
Optimal matching by the transiently chaotic neural network
A fuzzy logical controller for traffic load parameter with priority-based rate in wireless multimedia sensor networks
Novel fuzzy active contour model with kernel metric for image segmentation
Automated detection of COVID-19 and pneumonia diseases using data mining and transfer learning algorithms with focal loss from chest X-ray images
Event prediction algorithm using neural networks for the power management system of electric vehicles
Comparative analysis of robust machine learning models for predicting CO2 uptake in porous liquids: Insights for environmental applications
A particle swarm optimization for a fuzzy multi-objective unrelated parallel machines scheduling problem
Contextual analysis of solutions in a tourist trip design problem: A fuzzy logic-based approach
Application of CNN for multiple phase corrosion identification and region detection
A comprehensive study among distance measures on supervised optimum-path forest classification
Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction
Pairwise causal discovery with support measure machines
Using GMDH-based networks for improved spam detection and email feature analysis
Compression of fully-connected layers based on parameter sharing for large-scale category image classification
Calculating forgotten effects using fuzzy numbers based on embedded Experton structures
An approach based on hybrid genetic algorithm applied to image denoising problem
Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (China)
On the complexity of energy efficient pairwise calibration in embedded sensors
A two-branch encoder-decoder network for image tampering localization
Knowledge elicitation for performance assessment in a computerized surgical training system
Regularization-free multicriteria optimization of polymer viscoelasticity model
Integration of growing self-organizing map and continuous genetic algorithm for grading lithium-ion battery cells
Distribution network fault section identification and fault location using wavelet entropy and neural networks
Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set
A soft computing approach based on critical chain for project planning and control in real-world applications with interval data
Complex matrix and multi-feature collaborative learning for polarimetric SAR image classification
Adaptive large neighborhood search algorithm for the Unmanned aerial vehicle routing problem with recharging
Two effective methods for the irregular knapsack problem
Genetic algorithms for a family of image similarity models incorporated in the relevance feedback mechanism
OCRUN: An oppositional Runge Kutta optimizer with cuckoo search for global optimization and feature selection
Optimal power flow using the AMTPG-Jaya algorithm
An approach to investigate fairness using Dominance-based Rough Sets Analysis - How fair were the COVID-19 restriction decisions in the UK?
A set-based differential evolution algorithm for QoS-oriented and cost-effective ridesharing
A multi-source heterogeneous knowledge injected prompt learning method for legal charge prediction
Grey-Lotka-Volterra model for the competition and cooperation between third-party online payment systems and online banking in China
Parametric optimal control for uncertain linear quadratic models
Using computational intelligence for large scale air route networks design
Optimized feature selection in high-dimensional gene expression data using weighted differential gene expression analysis
A hierarchical neural model in short-term load forecasting
A simulation based multi-attribute group decision making technique with decision constraints
An ACO hybrid metaheuristic for close-open vehicle routing problems with time windows and fuzzy constraints
Decentralized learning of randomization-based neural networks with centralized equivalence
A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization
Cost optimized Hybrid Genetic-Gravitational Search Algorithm for load scheduling in Cloud Computing
A state of charge feature selection method for electric buses via fuzzy information measures
A novel evolutionary root system growth algorithm for solving multi-objective optimization problems
A hybridization of genetic algorithms and fuzzy logic for the single-machine scheduling with flexible maintenance problem under human resource constraints
Unsupervised anomaly detection for medical image classification using masked denoising autoencoder
Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging
Fuzzy optimal control using generalized Takagi-Sugeno model for multivariable nonlinear systems
A PNN self-learning tool breakage detection system in end milling operations
A new perspective of performance comparison among machine learning algorithms for financial distress prediction
Multi-source manifold space domain adaptation with a full-thresholding residual network for machinery fault diagnosis
Interval type-2 fuzzy development of FUCOM and activity relationship charts along with MARCOS for facilities layout evaluation
Fast static available transfer capability determination using radial basis function neural network
Research on the construction of stock portfolios based on multiobjective water cycle algorithm and KMV algorithm
Small aerial object detection through GAN-integrated feature pyramid networks
Measuring traffic congestion: An approach based on learning weighted inequality, spread and aggregation indices from comparison data
A unique feature extraction using MRDWT for automatic classification of abnormal heartbeat from ECG big data with Multilayered Probabilistic Neural Network classifier
A multi-objective feature selection method using Newton's law based PSO with GWO
An efficient feature selection framework based on information theory for high dimensional data
Considerations on the principle of rule induction by STRIM and its relationship to the conventional Rough Sets methods
Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems
Reinforcing learning in Deep Belief Networks through nature-inspired optimization
Similarity-based Particle Filter for Remaining Useful Life prediction with enhanced performance
An exploratory analysis of data noisy scenarios in a Pareto-front based dynamic feature selection method
Fuzzy AHP based prioritization and taxonomy of software process improvement success factors in global software development
Data augmentation for Convolutional LSTM based brain computer interface system
A study of two penalty-parameterless constraint handling techniques in the framework of MOEA/D
Neighborhood entropy guided by a decision attribute and its applications in multi-source information fusion and attribute selection
Sustainable evaluation of energy storage technologies for wind power generation: A multistage decision support framework under multi-granular unbalanced hesitant fuzzy linguistic environment
Dynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problem
Bounding Edit Distance for similarity-based sequence classification on Structural Pattern Recognition
A social participatory allocation network method with partial relations of alternatives and its application in sustainable food supply chain selection
Nature-inspired techniques for conformance testing of object-oriented software
Elastic train scheduling model
Adaptive Information Mesh for multimodal brain tumor segmentation
A dual-branch noise-resistant sparse convolution method for multi-modal 3D object detection in autonomous driving
Softcomputing in identification of the origin of Voynich manuscript by comparison with ancient dialects
Seasonal and trend time series forecasting based on a quasi-linear autoregressive model
Addressing environmental challenges in blasting: A dual-method data generation framework for peak particle velocity prediction
A lightweight network for portable fry counting devices
Deep learning feature exploration for Android malware detection
Multi-hop temporal knowledge graph reasoning with multi-agent reinforcement learning
A FE model updating technique based on SAP2000-OAPI and enhanced SOS algorithm for damage assessment of full-scale structures
Multi-selection of instances: A straightforward way to improve evolutionary instance selection
Monte-Carlo randomized algorithm for minimal feedback arc set problem
Spatiotemporal charging demand forecasting for EV stations via cross-attention fusion
A modified convolutional neural network architecture for diabetic retinopathy screening using SVDD
Energy-aware JPEG image compression: A multi-objective approach
Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning scheme
A multi-population electromagnetic algorithm for dynamic optimisation problems
A novel wind power interval prediction method based on neural ensemble search and dynamic conformalized quantile regression
Fuzzy time series model based on red-black trees for stock index forecasting
A hybrid fuzzy regression model and its application in hydrology engineering
A transformer-based sequential analysis methodology for trajectory tracking at safety surveillance in manufacturing
Robust feedforward and recurrent neural network based dynamic weighted combination models for software reliability prediction
Individual parameterized transformer-based deep Q-network for efficient industrial 2d exact guillotine cutting scheduling
Prediction of cooling efficiency of forced-air precooling systems based on optimized differential evolution and improved BP neural network
Delay-dependent T-S fuzzy control for nonlinear interconnected systems: Using dithers as auxiliaries
Premium-penalty ant colony optimization and its application in slope stability analysis
Motor Imagery EEG signals classification using a Transformer-GCN approach
Post-pandemic healthcare for COVID-19 vaccine: Tissue-aware diagnosis of cervical lymphadenopathy via multi-modal ultrasound semantic segmentation
Fuzzy Emotional COCOMO II Software Cost Estimation (FECSCE) using Multi-Agent Systems
Multi-objective immune algorithm with Baldwinian learning
A development on multimodal optimization technique and its application in structural damage detection
Evaluating the topological quality of watermarked vector maps
An asynchronously deep reservoir computing for predicting chaotic time series
Kriging-assisted Discrete Global Optimization (KDGO) for black-box problems with costly objective and constraints
Decision-making technique with neutrosophic Z-rough set approach for sustainable industry evaluation using sine trigonometric operators
Wireless sensor networks-based adaptive differential evolution for multimodal optimization problems
A collaborative central domain adaptation approach with multi-order graph embedding for bearing fault diagnosis under few-shot samples
A novel rule-based evolving Fuzzy System applied to the thermal modeling of power transformers
Adversarial transfer network with bilinear attention for the detection of adverse drug reactions from social media
Modeling and control of nonlinear systems using an Adaptive LAMDA approach
Coevolutionary design of a watermark embedding scheme and an extraction algorithm for detecting replicated two-dimensional barcodes
Green and reliable medical device supply chain network design under deep dynamic uncertainty: A novel approach in the context of COVID-19 outbreak
Semantic-segmentation-based approach for early detection and type recognition of single-phase ground fault in resonant distribution networks
A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio
Differential evolution of fuzzy controller for environmentally-powered wireless sensors
A fuzzy AprioriTid mining algorithm with reduced computational time
Application of adaptive wavelet neural network to forecast operating reserve requirements in forward ancillary services market
Learning of fuzzy cognitive maps using a niching-based multi-modal multi-agent genetic algorithm
Neural CAPTCHA networks
Distance matrix based heuristics to minimize makespan of parallel batch processing machines with arbitrary job sizes and release times
Few-shot transformers for image classification using masked self-distillation and optimal tokens based global-local feature interactions
Genetic Algorithms and Satin Bowerbird Optimization for optimal allocation of distributed generators in radial system
Minimum energy broadcasting in wireless sensor networks: An ant colony optimization approach for a realistic antenna model
Robust optimization framework for cardinality constrained portfolio problem
Toward personalized risk-sensitive decision-making: A novel risk preference adaptive distributional reinforcement learning algorithm for stock trading
Selection of best industrial waste management technique under complex non-linear Diophantine fuzzy Dombi aggregation operators
Multi-criteria linguistic optimization for covert communication in secure LLM-based steganography
Frequency decomposition and patch modeling framework for time-series forecasting
Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms
A self-adaptive kernel extreme learning machine for short-term wind speed forecasting
Adaptive memory-based local search for MAX-SAT
A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data
ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networks
Application of integrated factor evaluation-analytic hierarchy process-T-S fuzzy fault tree analysis in reliability allocation of industrial robot systems
Predicting body fat percentage from anthropometric and laboratory measurements using artificial neural networks
AEFA-FDB: A score-based artificial electric field algorithm for optimal reactive power dispatch problem with renewable and load demand uncertainties
Hybrid machine teaching with human oversight for classification of seismograms
From Big Data to business analytics: The case study of churn prediction
A hybrid approach to constrained global optimization
Identification of best fit parameters of void nucleation and growth model using particle swarm technique
Performance and behavior analysis of repairable industrial systems using Vague Lambda-Tau methodology
Solving the Urban Transit Routing Problem using a particle swarm optimization based algorithm
A modified ABC algorithm for the stage shop scheduling problem
Adversarial multi-task learning with inverse mapping for speech enhancement
Complex network oriented artificial bee colony algorithm for global bi-objective optimization in three-echelon supply chain
Artificial chromosomes with genetic algorithm 2 (ACGA2) for single machine scheduling problems with sequence-dependent setup times
Deep subclass reconstruction network for fault diagnosis of rotating machinery under various operating conditions
MRCCA: A novel CCA based method and its application in feature extraction and fusion for matrix data
Imbalanced Broad Learning System with label relaxation and sample weight adaptation
Efficiency issues of evolutionary k-means
Harmonic identification using parallel neural networks in single-phase systems
Evaluation of autonomous vehicle driving systems for risk assessment based on three-dimensional uncertain linguistic variables
A semi-supervised auto-encoder using label and sparse regularizations for classification
Fusion of voice signal information for detection of mild laryngeal pathology
Energy Efficient Spiking Deep Residual Network and Binary Horse Herd Optimization Espoused clustering Protocol for Wireless Sensor Networks
REFORE: A recommender system for researchers based on bibliometrics
Combining subjective and objective weights considerations to solve the emergency location selection problems under spherical fuzzy environments
An α-cut intervals based Fuzzy Best-Worst Method for Multi-Criteria Decision-Making
Fire anomaly detection based on low-rank adaption fine-tuning and localization using Gradient Filtering
Robust Heterogeneous C-means
Adaptive inverse position control of switched reluctance motor
A multi-population differential evolution algorithm based on cellular learning automata and evolutionary context information for optimization in dynamic environments
Industry classification based on supply chain network information using Graph Neural Networks
Learning broad learning system with controllable sparsity through L 0 regularization
A new intelligent hardware implementation based on field programmable gate array for chaotic systems
An evolutionary extreme learning machine algorithm for multi-cube unit single-layer neural networks
Heterogeneous face matching using geometric edge-texture feature (GETF) and multiple fuzzy-classifier system
Heuristic based trading system on Forex data using technical indicator rules
Discriminative feature selection using signed Laplacian restricted Boltzmann machine for speed and generalization improvement of high dimensional data classification
Incorporating the Markov chain concept into fuzzy stochastic prediction of stock indexes
Collaborative filtering via factorized neural networks
A novel hybrid gravitational search and pattern search algorithm for load frequency control of nonlinear power system
An adaptive NSGA-Ⅱ for electric vehicle routing problem with charging/discharging based on time-of-use electricity pricing and diverse charging stations
Cross grouping strategy based 2DPCA method for face recognition
The effects of data balancing approaches: A case study
Cascade Kronecker neuro-fuzzy network based influential node identification
Opposition chaotic fitness mutation based adaptive inertia weight BPSO for feature selection in text clustering
An improved krill herd algorithm with global exploration capability for solving numerical function optimization problems and its application to data clustering
Underwater image enhancement via cross-wise transformer network focusing on pre-post differences
Integrated Fuzzy-HMH for project uncertainties in time-cost tradeoff problem
An empirical assessment of autonomicity for autonomic query optimizers using fuzzy-AHP technique
Output-related fault detection in non-stationary processes using constructive correlative-SAE and demoting correlative-DNN
Corrigendum to "Gray Wolf Optimizer for hyperspectral band selection" [Appl. Soft Comput. 40 (2016) 178-186]
A clustering-based symbiotic organisms search algorithm for high-dimensional optimization problems
Bacterially inspired evolving system with an application to time series prediction
A multiobjective state transition algorithm based on modified decomposition method
Design of imitation learning fusion algorithm for mobile robotic arm control
An improved constrained differential evolution algorithm for unmanned aerial vehicle global route planning
Sentiment analysis and emotion recognition in social media: A comprehensive survey
Fuzzy control charts for individual observations to analyze variability in health monitoring processes
A deep local-temporal architecture with attention for lightweight human activity recognition
A real-integer-discrete-coded particle swarm optimization for design problems
Mutation operators for Genetic Programming using Monte Carlo Tree Search
Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information
Bi-objective reliable location-inventory-routing problem with partial backordering under disruption risks: A modified AMOSA approach
Hybrid soft computing techniques for feature selection and parameter optimization in power quality data mining
Autonomic fault-handling and refurbishment using throughput-driven assessment
Multi-level pooling self-adaptive evolutionary multi-objective gene selection algorithm for microarray data classification
A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps
Gradual representation of shadowed set for clustering gene expression data
Intelligent autonomous system for residential water end use classification: Autoflow
Dynamic heterogeneous graph contrastive networks for knowledge tracing
A hybrid multi-objective optimization algorithm for content based image retrieval
A review on metaheuristics for solving home health care routing and scheduling problems
Learning evolving T-S fuzzy systems with both local and global accuracy - A local online optimization approach
Two-stage coevolution method for deep CNN: A case study in smart manufacturing
An artificial-neural-network based prediction of heat transfer behaviors for in-tube supercritical CO 2 flow
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems
Classification and feature transformation with Fuzzy Cognitive Maps
Modified Mamdani-fuzzy inference system for predicting the cost overrun of construction projects
Load estimation for microgrid planning based on a self-organizing map methodology
Hardware implementation and performance comparison of interval type-2 fuzzy logic controllers for real-time applications
A broad review on class imbalance learning techniques
Network-wide signal timing stochastic simulation optimization with environmental concerns
Learning to recommend third-party library migration opportunities at the API level
An intelligent framework of upgraded CapsNets with massive transmissibility data for identifying damage in bridges
A stable technical feature with GRU-CNN-GA fusion
Efficient image super-resolution based on transformer with bidirectional interaction
Improved global-best particle swarm optimization algorithm with mixed-attribute data classification capability
Soft computing-driven infrared and visible image fusion network for security application service
Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection
Hybrid observer for parameters estimation in ethylene polymerization reactor: A simulation study
The unscented genetic algorithm for fast solution of GA-hard optimization problems
Memetic algorithm with simulated annealing strategy and tightness greedy optimization for community detection in networks
A genetic algorithm based heuristic to the multi-period fixed charge distribution problem
Adaptive dissolved oxygen control based on dynamic structure neural network
Bi-stage hierarchical selection of pathway genes for cancer progression using a swarm based computational approach