yusuke1997/dblp-id-title huggingface dataset:
Solving job shop scheduling problem using a hybrid parallel micro genetic algorithm
SGBA: Subspace guidance backdoor attack with feature alignment in image classification
Estimation of planes of a rock mass in a gallery wall from point cloud data based on MD PSO
GenTrust: A genetic trust management model for peer-to-peer systems
Flexible time horizon project portfolio optimization with consumption and risk control
A novel fault diagnosis scheme applying fuzzy clustering algorithms
Parallel deep solutions for image retrieval from imbalanced medical imaging archives
A hybrid algorithm based optimal placement of DG units for loss reduction in the distribution system
Handling imbalanced data in intrusion detection using time weighted Adaboost support vector machine classifier and crossover boosted Dwarf Mongoose Optimization algorithm
A novel echo state network for multivariate and nonlinear time series prediction
Securing private information by data perturbation using statistical transformation with three dimensional shearing
A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization
Application areas of AIS: The past, the present and the future
Using multiobjective optimization for biclustering microarray data
Evaluation of industry 4.0 adoption strategies in small and medium enterprises: A Circular-Fermatean fuzzy decision-making approach
Lung cancer disease detection using service-oriented architectures and multivariate boosting classifier
Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling
Simplifying the powder metallurgy manufacturing process using soft computing tools
LiDAR point cloud simplification algorithm with fuzzy encoding-decoding mechanism
Cooperation in the evolutionary iterated prisoner's dilemma game with risk attitude adaptation
A complete fuzzy discriminant analysis approach for face recognition
Automatic system to detect the type of voice pathology
Cardiopulmonary resuscitation quality parameters from motion capture data using Differential Evolution fitting of sinusoids
Towards an efficient collection and transport of COVID-19 diagnostic specimens using genetic-based algorithms
Technical data mining with evolutionary radial basis function classifiers
Hyper-heuristics using multi-armed bandit models for multi-objective optimization
Machine learning models for credit analysis improvements: Predicting low-income families' default
A conceptual clustering method for large-scale group decision-making with linguistic truth-valued lattice implication algebra
Stabilization of unknown nonlinear systems using neural networks
Dynamic reconstruction of nonlinear v-i characteristic in electric arc furnaces using adaptive neuro-fuzzy rule-based networks
CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation
A currency trading system based on simplified models using fuzzy multi-criteria hierarchical optimization
Influence of randomization strategies and problem characteristics on the performance of Differential Search algorithm
Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects
Multilayer time delay reservoir with double feedback loops for time series forecasting task
Short-term electrical load forecasting through heuristic configuration of regularized deep neural network
Face recognition by generalized two-dimensional FLD method and multi-class support vector machines
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation
Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm
Modified Particle Swarm Optimization technique based Maximum Power Point Tracking for uniform and under partial shading condition
Three-way decision method based on triangular norms in incomplete information systems and its applications in medical diagnosis
Broad learning extreme learning machine for forecasting and eliminating tremors in teleoperation
Analysis of the use of discrete wavelet transforms coupled with ANN for short-term streamflow forecasting
Fuzzy-based dilemma assessment in confrontation analysis with applications to the Walkerton Drinking Water Crisis
Commentary on "A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems"
Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on E-S-QUAL
Combining Machine Learning techniques and Genetic Algorithm for predicting run times of High Performance Computing jobs
Combined variable precision fuzzy rough set and its application in medical diagnosis
Robust heuristic algorithms for exploiting the common tasks of relational cloud database queries
Revising recurrent neural networks from a granular perspective
Fusing local density and approximate distance for nonparametric outlier detection
Discrete time control based in neural networks for pendulums
Multiobjective sparse unmixing based hyperspectral change detection
Efficient sampling policy to accelerate high utility pattern mining at given accuracy level
Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction
A clinical study on Atrial Fibrillation, Premature Ventricular Contraction, and Premature Atrial Contraction screening based on an ECG deep learning model
A case learning-based differential evolution algorithm for global optimization of interplanetary trajectory design
An optimized fuzzy ensemble of convolutional neural networks for detecting tuberculosis from Chest X-ray images
Multi-strategy firefly algorithm with selective ensemble for complex engineering optimization problems
LSTSVM classifier with enhanced features from pre-trained functional link network
Multi-level diversity promotion strategies for Grammar-guided Genetic Programming
Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming
Interval type 2 hierarchical FNN with the H-infinity condition for MIMO non-affine systems
Cancelable binary biometric template generation scheme based on partial walsh transformation and MinHash algorithm
Enhanced rough-fuzzy c-means algorithm with strict rough sets properties
k -means clustering and kNN classification based on negative databases
The choice of scaling technique matters for classification performance
Efficient unified information extraction model based on large language models
A multi-objective effort-aware defect prediction approach based on NSGA-II
Multi-regularization sparse reconstruction based on multifactorial multiobjective optimization
Multi-objective optimization of a stacked neural network using an evolutionary hyper-heuristic
Handedness tests for preschool children: A novel approach based on graphics tablets and support vector machines
Optimization of process parameters in the abrasive waterjet machining using integrated SA-GA
An application of soft computing technique in group decision making under interval-valued intuitionistic fuzzy environment
A two-stage genetic programming framework for Stochastic Resource Constrained Multi-Project Scheduling Problem under New Project Insertions
Uncertainty aware neural network from similarity and sensitivity
OPFaceNet: OPtimized Face Recognition Network for noise and occlusion affected face images using Hyperparameters tuned Convolutional Neural Network
Face recognition using point symmetry distance-based RBF network
A novel training weighted ensemble (TWE) with application to face recognition
Multi-output Spatio-temporal air pollution forecasting using neural network approach
Solving difficult mixed integer and disjunctive non-linear problems on single and parallel processors
An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data
Scheduling of multi-component products in a two-stage flexible flow shop
A Generalized Maximum Entropy (GME) estimation approach to fuzzy regression model
Support vector regression-based heteroscedastic models for cryptocurrency risk forecasting
Two stage reentrant hybrid flow shop with setup times and the criterion of minimizing makespan
Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification
A fuzzy-based military officer performance appraisal system
Integrated fabric procurement and multi-site apparel production planning with cross-docking: A hybrid fuzzy-robust stochastic programming approach
A comparative analysis of training methods for artificial neural network rainfall-runoff models
A hybrid fuzzy multiple criteria group decision making approach for sustainable project selection
Single batch-processing machine scheduling problem with interval grey processing time
Perception-based approach to time series data mining
A novel physical based meta-heuristic optimization method known as Lightning Attachment Procedure Optimization
A knee-guided differential evolution algorithm for unmanned aerial vehicle path planning in disaster management
Application of type-2 neuro-fuzzy modeling in stock price prediction
Detecting mutual configurations of applied planning strategies and performances in small and medium sized businesses with kernel based machine learning methods
How to design the fair experimental classifier evaluation
Combining Support Vector Machine with Genetic Algorithms to optimize investments in Forex markets with high leverage
Least learning machine and its experimental studies on regression capability
An extended partitioning technique to transform trees into single-row networks
A novel support vector regression for data set with outliers
Image forgery detection by transforming local descriptors into deep-derived features
Enhancing confidence level in decision-making frameworks using fermatean fuzzy rough sets: Application in industry 4.0
A two-stage Bayesian learning-based probabilistic fuzzy interpreter for uncertainty modeling
Incremental learning with partial-supervision based on hierarchical Dirichlet process and the application for document classification
Generalized Possibilistic Fuzzy C-Means with novel cluster validity indices for clustering noisy data
An improved AEA algorithm with Harmony Search(HSAEA) and its application in reaction kinetic parameter estimation
Clustering by detecting skeletal structure and identifying density fluctuation
Multi-objective optimization algorithm assisted by metamodels with applications in aerodynamics problems
Lightweight decision-making decisive feature enhancement network for medical image analysis
Fuzzy decision support software for crisis management in gas transmission networks
Multi-objective evolving long-short term memory networks with attention for network intrusion detection
Self-learning soft computing algorithms for prediction machines of estimating crowd density
An ɛ-constrained multiobjective differential evolution with adaptive gradient-based repair method for real-world constrained optimization problems
Differential evolution based 3-D guidance law for a realistic interceptor model
A convolutional neural network based classification for fuzzy datasets using 2-D transformation
Amniotic fluid segmentation based on pixel classification using local window information and distance angle pixel
Feedforward kernel neural networks, generalized least learning machine, and its deep learning with application to image classification
Advertisement timeout driven bee's mating approach to maintain fair energy level in sensor networks
Local search enhanced multi-objective PSO algorithm for scheduling textile production processes with environmental considerations
Reinforcement learning-based comprehensive learning grey wolf optimizer for feature selection
Parallel distributed compensator design of tank level control based on fuzzy Takagi-Sugeno model
Evolutionary learning of selection hyper-heuristics for text classification
Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics
A deep selective learning network for cross-domain recommendation
An effective color texture image segmentation algorithm based on hermite transform
Uncertainty bottom impact optimization of power battery pack with 3D star-shaped auxetic structure
Multi-scale skeleton adaptive weighted GCN for skeleton-based human action recognition in IoT
A modified grey wolf optimization-based dendritic neural model for stock index return prediction
Sustainability assessment of palm oil industry 4.0 technologies in a circular economy applications based on interval-valued Pythagorean fuzzy rough set-FWZIC and EDAS methods
An adaptive and altruistic PSO-based deep feature selection method for Pneumonia detection from Chest X-rays
Adaptive control of DC motor using bacterial foraging algorithm
The study and application of a novel hybrid system for air quality early-warning
Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters
Soft computing methods applied to the control of a flexible robot manipulator
An interactive fuzzy programming approach for bi-objective straight and U-shaped assembly line balancing problem
A PSO-algorithm-based dual consensus method for large-scale group decision making and its application in medical imaging equipment purchasing
A portfolio selection model with borrowing constraint based on possibility theory
Skin lesion segmentation by fusing local and global features using axial shift and spatial state model
Object localization through a single multiple-model switching CNN and a superpixel training approach
SHOMAS: Intelligent guidance and suggestions in shopping centres
Movie genre classification: A multi-label approach based on convolutions through time
Improved backtracking search algorithm for pseudo dynamic active earth pressure on retaining wall supporting c-Ф backfill
A new robot navigation algorithm for dynamic unknown environments based on dynamic path re-computation and an improved scout ant algorithm
Soft computing in medicine
Chinese medicine prescription optimization using evolutionary algorithms
A high performing metaheuristic for job shop scheduling with sequence-dependent setup times
An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
ProfARIMA: A profit-driven order identification algorithm for ARIMA models in sales forecasting
A generative adversarial networks based methodology for imbalanced multidimensional time-series augmentation of complex electromechanical systems
Evidence theoretic classification of ballistic missiles
One-dimensional VGGNet for high-dimensional data
Selection of tramcars for sustainable urban transportation by using the modified WASPAS approach based on Heronian operators
Optimized face detector-based intelligent face mask detection model in IoT using deep learning approach
The role of input selection and climate pre-classification on the performance of neural networks irradiance models
Deep learning in industrial machinery: A critical review of bearing fault classification methods
A preordonance-based decision tree method and its parallel implementation in the framework of Map-Reduce
A deep reinforcement learning trader without offline training
Deep neural network-based intelligent health monitoring system for oil and gas pipelines
Genetic algorithms tuned expert model for detection of epileptic seizures from EEG signatures
Performance analyses over population seeding techniques of the permutation-coded genetic algorithm: An empirical study based on traveling salesman problems
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
A fuzzy filter for improving the quality of the signal in adaptive-network-based fuzzy inference systems (ANFIS)
Combined soft computing model for value stock selection based on fundamental analysis
Cultural evolution of probabilistic aggregation in synthetic swarms
Identifying critical causal criteria of green supplier evaluation using heterogeneous judgements: An integrated approach based on cloud model and DEMATEL
Complex neural fuzzy system and its application on multi-class prediction - A novel approach using complex fuzzy sets, IIM and multi-swarm learning
A hybrid large-neighborhood search algorithm for the cumulative capacitated vehicle routing problem with time-window constraints
Particle Swarm Clustering in clustering ensembles: Exploiting pruning and alignment free consensus
A Kano model, AHP and M-TOPSIS method-based technique for disassembly line balancing under fuzzy environment
An integrated picture fuzzy Z-AHP & TOPSIS methodology: Application to solar panel selection
Simplified swarm optimization with initialization scheme for dynamic weapon-target assignment problem
Honey bee behavior inspired load balancing of tasks in cloud computing environments
Simultaneous latent fingerprint recognition
Adaptive surrogate modeling with evolutionary algorithm for well placement optimization in fractured reservoirs
Forecasting wind speed using empirical mode decomposition and Elman neural network
Discrete grey wolf optimization algorithm for solving k -coverage problem in directional sensor networks with network lifetime maximization viewpoint
A semi-parametric ensemble model for profit evaluation and investment decisions in online consumer loans with prepayments
A decentralized federated learning based interoperable and heterogeneity aware predictive optimization method for energy and comfort in smart homes environment
Weather analysis using ensemble of connectionist learning paradigms
Novel computing method for uncertainty-aware fault diagnosis of rotating machinery based on image processing and interval theory
Optimal Reactive Power Dispatch problem using exchange market based Butterfly Optimization Algorithm
Multi-agent cooperation-based bi-criteria evolutionary many-objective optimization
Bayesian optimization algorithm for multi-objective scheduling of time and precedence constrained tasks in heterogeneous multiprocessor systems
Fault-tolerant enhanced bijective soft set with applications
Integration of K-means algorithm and AprioriSome algorithm for fuzzy sequential pattern mining
Evaluation of international market entry strategies for mineral oil companies using a neutrosophic SWARA-CRADIS methodology
Fuzzy clustering with semantic interpretation
Enhancing grid-tied solar energy systems with adaptive interval type-2 fuzzy tuned affine projection Lorentzian control for improved power quality
A benchmark data set for aircraft type recognition from remote sensing images
Intelligent use of data to optimize compressive strength of cellulose-derived composites
Geometrical invariant generative invisible hyperlinks based on feature points
Studying the effect of population size in distributed evolutionary algorithms on heterogeneous clusters
Efficient multi-feature PSO for fast gray level object-tracking
Consistency-based risk assessment with probabilistic linguistic preference relation
A new fuzzy optimal reconfiguration of distribution systems for loss reduction and load balancing using ant colony search-based algorithm
An integrated framework for mechatronics based product development in a fuzzy environment
Joint cell formation, cell scheduling, and group layout problem in virtual and classical cellular manufacturing systems
A deep-based Gaussian mixture model algorithm for large-scale many objective optimization
Intelligent urban GNSS measurement uncertainty prediction by exploring the spatial characteristics with transformer
Hybrid flow shop scheduling with assembly operations and key objectives: A novel neighborhood search
Low-discrepancy sequence initialized particle swarm optimization algorithm with high-order nonlinear time-varying inertia weight
A novel SVM-kNN-PSO ensemble method for intrusion detection system
Fault diagnosis of helicopter accessory gearbox under multiple operating conditions based on feature mode decomposition and multi-scale convolutional neural networks
Intuitionistic fuzzy modelling-based integrated framework for performance analysis of juice clarification unit
Mass customization with reinforcement learning: Automatic reconfiguration of a production line
Parallel transfer evolution algorithm
Adaptive linguistic weighted aggregation operators for multi-criteria decision making
The analytic hierarchy and network processes: Applications to the US presidential election and to the market share of ski equipment in Italy
Integrating new classes on the fly in evolving fuzzy classifier designs and their application in visual inspection
Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition
A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform
A many-objective whale optimization algorithm to perform robust distributed clustering in wireless sensor network
Deadlock prevention and multi agent path finding algorithm considering physical constraint for a massive fleet AGV system
Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives
Keystroke dynamics-based user authentication using freely typed text based on user-adaptive feature extraction and novelty detection
Data selection to avoid overfitting for foreign exchange intraday trading with machine learning
Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities
A dynamic multi-objective evolutionary algorithm based on Niche prediction strategy
Self-adaptive and reconfigurable distributed computing systems
A multi-objective optimization of type-2 fuzzy control speed in FPGAs
Multivariable fuzzy rule-based models and their granular generalization: A visual interpretable framework
A generalized automatic clustering algorithm in a multiobjective framework
Big Model and Small Model : Remote modeling and local information extraction module for medical image segmentation
Color image segmentation using adaptive unsupervised clustering approach
ANFIS-based approach for predicting sediment transport in clean sewer
Fuzzy c-means improvement using relaxed constraints support vector machines
Multi-output extended belief rule-base system and its parameter learning schemes
Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs
Radio-frequency inductor synthesis using evolutionary computation and Gaussian-process surrogate modeling
Parallel island based Memetic Algorithm with Lin-Kernighan local search for a real-life Two-Echelon Heterogeneous Vehicle Routing Problem based on Brazilian wholesale companies
Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss
Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey
Adversarial attacks on deep reinforcement learning applications in electric vehicle charging scheduling: A dual-stage attack framework
Federated semi-supervised learning with contrastive representations against noisy labels
Robust mean-risk portfolio optimization using machine learning-based trade-off parameter
Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated convolutions neural network
Unconstrained texture classification using efficient jet texton learning
The use of vicinal-risk minimization for training decision trees
Gene expression selection for cancer classification using intelligent collaborative filtering and hamming distance guided multi-objective swarm optimization
Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity
Neuro evolutionary model for weld residual stress prediction
Scheduling software updates for connected cars with limited availability
Frequency-based methods for improving the imperceptibility and transferability of adversarial examples
Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs)