yusuke1997/dblp-id-title huggingface dataset:
Uncertain linguistic fuzzy soft sets and their applications in group decision making
Joint-optimized feature selection and classifier hyperparameters by salp swarm algorithm in piano score difficulty measurement problem
Energy consumption prediction of appliances using machine learning and multi-objective binary grey wolf optimization for feature selection
Evolving a Bayesian classifier for ECG-based age classification in medical applications
Claim reserving with fuzzy regression and the two ways of ANOVA
Distributed parameter system identification using finite element differential neural networks
Distributed embodied evolution over networks
Protection of location privacy for moving k NN queries in social networks
Combined heat and power economic emission dispatch using dynamic switched crowding based multi-objective symbiotic organism search algorithm
Modified genetic algorithms for constructing new quaternary hermitian LCD codes
Multiple Information Spatial-Temporal Attention based Graph Convolution Network for traffic prediction
Modeling and prediction with a class of time delay dynamic neural networks
Parameter control system of evolutionary algorithm that is aided by the entire search history
Multi-class iteratively refined negative selection classifier
Dynamic computing rough approximations approach to time-evolving information granule interval-valued ordered information system
Cuckoo search algorithm with fuzzy logic and Gauss-Cauchy for minimizing localization error of WSN
Energy-efficient application assignment in profile-based data center management through a Repairing Genetic Algorithm
A parallel approach to calculate lower and upper approximations in dominance based rough set theory
Algorithm for improving additive consistency of linguistic preference relations with an integer optimization model
A Memetic Chaotic Gravitational Search Algorithm for unconstrained global optimization problems
Designing a general type-2 fuzzy expert system for diagnosis of depression
A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers
Incomplete data ensemble classification using imputation-revision framework with local spatial neighborhood information
Knowledge-driven dynamic multi-objective evaluation and attention optimization for tuning microwave filters
3D medical image segmentation based on semi-supervised learning using deep co-training
Feature correction and semantic guidance for multimodal crowd counting
Adaptive surrogate assisted multi-objective optimization approach for highly nonlinear and complex engineering design problems
Optimal Golomb ruler sequence generation for FWM crosstalk elimination: Soft computing versus conventional approaches
An automatic coloring method for ethnic costume sketches based on generative adversarial networks
Deep learning-enabled fault diagnosis with vision transformers and domain-informed data augmentation for advanced quality control in semiconductor manufacturing
Many-objective optimisation of offshore wind farms
Backtracking search heuristics for identification of electrical muscle stimulation models using Hammerstein structure
Training data augmentation: An empirical study using generative adversarial net-based approach with normalizing flow models for materials informatics
Binary black hole algorithm for feature selection and classification on biological data
Cross-lingual entity alignment based on complex relationships and fine-grained attributes
Application of neural networks and fuzzy logic models to long-shore sediment transport
Neural visualization of network traffic data for intrusion detection
Endpoint prediction model for basic oxygen furnace steel-making based on membrane algorithm evolving extreme learning machine
Study on enhanced deep learning approaches for value-added identification and segmentation of striation marks in bullets for precise firearm classification
A cross-media heterogeneous transfer learning for preventing over-adaption
Systematic image processing for diagnosing brain tumors: A Type-II fuzzy expert system approach
Discovering interobserver variability in the cytodiagnosis of breast cancer using decision trees and Bayesian networks
Particle Swarm Optimization-based approach for parameterization of power capacitor models fed by harmonic voltages
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system
Finite-time convergent gradient-zeroing neurodynamic system for solving temporally-variant linear simultaneous equation
Double deep Q-network-based dynamic offloading decision-making for mobile edge computing with regular hexagonal deployment structure of servers
Reward criteria impact on the performance of reinforcement learning agent for autonomous navigation
Chaotic loss-based spiking neural network for privacy-preserving bullying detection in public places
Solution to economic emission dispatch problem including wind farms using Exchange Market Algorithm Method
Dynamic granularity selection based on local weighted accuracy and local likelihood ratio
HANSEL: Adaptive horizontal scaling of microservices using Bi-LSTM
Robust k-subspace discriminant clustering
Fractional order fuzzy-PID control of a combined cycle power plant using Particle Swarm Optimization algorithm with an improved dynamic parameters selection
Adaptive reconfiguration of data networks using genetic algorithms
Cascaded re-ranking modelling of translation hypotheses using extreme learning machines
A clustering-based differential evolution for global optimization
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
Development of web browser prototype with embedded classification capability for mitigating Cross-Site Scripting attacks
A deep neural network with modified random forest incremental interpretation approach for diagnosing diabetes in smart healthcare
A mathematical morphology based method for hierarchical clustering analysis of spatial points on street networks
Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks
A novel multi-strategy combined whale optimization algorithm for cascade reservoir operation of complex engineering optimization
Application of neural networks for predicting hot-rolled strip crown
Extracting features from online software reviews to aid requirements reuse
Adaptive directed mutation for real-coded genetic algorithms
Hybrid adaptive simplified human learning optimization algorithms for supply chain network design problem with possibility of direct shipment
On generalized Sugeno's class generator and parametrized intuitionistic fuzzy approach for enhancing low-light images
A statistical-topological feature combination for recognition of handwritten numerals
A new gradient based particle swarm optimization algorithm for accurate computation of global minimum
The spherical search algorithm for bound-constrained global optimization problems
Fixing deep early exit ensembles for sensor-based human activity recognition through uncertainty quantification
An Entropy-based PSO for DAR task scheduling problem
A cell evolution method for reliability-based design optimization
Embedded stacked group sparse autoencoder ensemble with L 1 regularization and manifold reduction
Immune based fuzzy agent plays checkers game
Application of Fuzzy Reference Ideal Method (FRIM) to the military advanced training aircraft selection
Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis
Performance risk assessment in public-private partnership projects based on adaptive fuzzy cognitive map
Energy-efficient clustering in mobile ad-hoc networks using multi-objective particle swarm optimization
Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems
Automatic surface defect detection for mobile phone screen glass based on machine vision
Automatic extraction and identification of chart patterns towards financial forecast
A Tabu search based clustering algorithm and its parallel implementation on Spark
A resilience control method for mitigating the sudden change in online group opinion based on Q-Learning and PSO
Image steganography based on style transfer and quaternion exponent moments
A new knowledge-based constrained clustering approach: Theory and application in direct marketing
Cognitive fuzzy sets for decision making
A solid transportation problem for an item with fixed charge, vechicle cost and price discounted varying charge using genetic algorithm
Heterogeneous attention based transformer for sign language translation
Application of a novel early warning system based on fuzzy time series in urban air quality forecasting in China
Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery
Classification of Power Quality Disturbances using Linear Discriminant Analysis
Utilization relevance vector machine for slope reliability analysis
A systematic review of metaheuristic algorithms in electric power systems optimization
Robust weakly supervised product surface defect segmentation based on guided cropping and inpainting extension
Maximal network reliability with optimal transmission line assignment for stochastic electric power networks via genetic algorithms
Driver fatigue detection using EEG-based graph attention convolutional neural networks: An end-to-end learning approach with mutual information-driven connectivity
Non-overlapping classification of hyperspectral imagery with superpixel segmentation
MS-LSTM: Exploring spatiotemporal multiscale representations in video prediction domain
A bi-objective workflow scheduling in virtualized fog-cloud computing using NSGA-II with semi-greedy initialization
A hybrid metaheuristic approach for the capacitated p-median problem
Short-term electricity price forecasting based on similarity day screening, two-layer decomposition technique and Bi-LSTM neural network
Flexible job-shop scheduling with tolerated time interval and limited starting time interval based on hybrid discrete PSO-SA: An application from a casting workshop
Adaptive neighborhood selection for many-objective optimization problems
A systematic review of machine learning techniques for software fault prediction
A feature selection approach based on NSGA-II with ReliefF
A partially integrated production-inventory model with interval valued inventory costs, variable demand and flexible reliability
Antenna modeling based on meta-heuristic intelligent algorithms and neural networks
KNNOR: An oversampling technique for imbalanced datasets
Target tracking strategy using deep deterministic policy gradient
Multi-surrogate assisted PSO with adaptive speciation for expensive multimodal multi-objective optimization
An edge detection scheme based on least squares support vector machine in a contourlet HMT domain
An adaptation framework with unified embedding reconstruction for cross-corpus speech emotion recognition
A feature selection method based on multiple feature subsets extraction and result fusion for improving classification performance
Optimal scale selection approach for classification based on generalized multi-scale formal context
Identifying critical architectural components with spectral analysis of fault trees
A lightweight network based on local-global feature fusion for real-time industrial invisible gas detection with infrared thermography
Adjusting data sparsity problem using linear algebra and machine learning algorithm
Adaptive online incremental learning for evolving data streams
Fuzzy c-means clustering using Jeffreys-divergence based similarity measure
Optimization techniques in respiratory control system models
Water cycle algorithm for solving constrained multi-objective optimization problems
Application of personalized individual semantics in MAGDM with preference information
A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems
Intrusion detection using fuzzy association rules
Automated EEG-based language detection using directed quantum pattern technique
Enhancing mobility management in 5G networks using deep residual LSTM model
A surrogate-assisted differential evolution for expensive optimization with equality constraints
Malware detection in edge devices with fuzzy oversampling and dynamic class weighting
SeNPIS: Sequential Network Pruning by class-wise Importance Score
Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D-2D Comparative Radiography
DTOF-ANN: An Artificial Neural Network phishing detection model based on Decision Tree and Optimal Features
Deep learning-accelerated optimization algorithm for controller parameters optimization of doubly-fed induction generators
PCA based immune networks for human face recognition
A new improved firefly clustering algorithm for SMC-PHD filter
A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market
Multi-task modeling and multifactorial optimization for path coverage problem of automated test case generation
Novel optimization approach for stock price forecasting using multi-layered sequential LSTM
Robustness-driven multi-UAV intention recognition framework: Integration of video data completion and feature learning
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis
Group decision making based on incomplete multiplicative and fuzzy preference relations
Hexagonal-hogel holographic stereograms based on neural graphics primitives
Robust Chinese Clinical Named Entity Recognition with information bottleneck and adversarial training
Solving the constrained coverage problem
An effective chaos-driven differential evolution for multi-objective unbalanced transportation problem considering fuel consumption
Biogeography based optimization method for robust visual object tracking
Ranking products through online opinions: A text analysis and regret theory-based approach
Letter: The concept of stratification and future applications
Social class particle swarm optimization for variable-length Wireless Sensor Network Deployment
A survey and taxonomy of the fuzzy signature-based Intrusion Detection Systems
Network structure guided multi-objective optimization approach for key entity identification
Fill-UNet: Extended composite semantic segmentation
Using binary fuzzy goal programming and linear programming to resolve airport logistics center expansion plan problems
Multi-constraint Qos Unicast Routing Using Genetic Algorithm (MURUGA)
Multi-criteria group decision making with incomplete hesitant fuzzy preference relations
Comparative study of metaheuristic optimization algorithms for image steganography based on discrete Fourier transform domain
A self-adaptive strategy based firefly algorithm for constrained engineering design problems
Differential Evolution algorithms applied to Neural Network training suffer from stagnation
Fuzzy-rough discriminative feature selection and classification algorithm, with application to microarray and image datasets
Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease
Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms
Ahybrid ICEEMDAN-BO-GRU model for real-time grouting parameter prediction
Ameliorated graph sample and aggregate network and convolutional neural network for stock trading decisions
Virtual special issue on quantum inspired soft computing for intelligent data processing guest editorial
A few-shot learning methodology for improving safety in industrial scenarios through universal self-supervised visual features and dense optical flow
Emended salp swarm algorithm for multiobjective electric power dispatch problem
Semantics in Multi-objective Genetic Programming
Point and interval forecasting for wind speed based on linear component extraction
An artificial neural network for predicting the friction coefficient of deposited Cr 1-x Al x C films
A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation
Two meta-heuristic algorithms for flexible flow shop scheduling problem with robotic transportation and release time
Graphical model based continuous estimation of distribution algorithm
A SVR-ANN combined model based on ensemble EMD for rainfall prediction
COVID-19 prognosis using limited chest X-ray images
A new composite approach for COVID-19 detection in X-ray images using deep features
Legendre wavelet method based solution of fractional order prey-predator model in type-2 fuzzy environment
Integrating single-cell multi-omics data through self-supervised clustering
Solving the 3D stowage planning problem integrated with the quay crane scheduling problem by representation by rules and genetic algorithm
A novel data partitioning and rule selection technique for modeling high-order fuzzy time series
A thin-provisioned and functionalized memetic algorithm for the single row facility layout problem
Classification of power loads based on an improved denoising deconvolutional auto-encoder
A new approach for multiple attribute group decision making with interval-valued intuitionistic fuzzy information
Traffic sign detection and recognition based on random forests
A multi-channel multi-tower GNN model for job transfer prediction based on academic social network
Extracting core answers using the grey wolf optimizer in community question answering
Small-time scale network traffic prediction based on flexible neural tree
A hybrid multi-objective firefly algorithm for big data optimization
Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation
Electrocardiogram soft computing using hybrid deep learning CNN-ELM
Uncertainty in Bayesian deep label distribution learning
Expansion-Trajectory Optimization (ETO): A dual-operator metaheuristic for balanced global and local search
Co-occurrence Graph Convolutional Networks with Approximate Entailment for knowledge graph embedding
A flexible rule for evidential combination in Dempster-Shafer theory of evidence
Designing simulated annealing and subtractive clustering based fuzzy classifier
Cross-Domain Feature learning and data augmentation for few-shot proxy development in oil industry
A cooperative negotiation embedded NSGA-II for solving an integrated product family and supply chain design problem with remanufacturing consideration
Copy move forgery detection and segmentation using improved mask region-based convolution network (RCNN)
Varying density method for data stream clustering
Rural road extraction from remote sensing images based on multi-view contextual information and multi-stage features
Modeling of the uniaxial compressive strength of some clay-bearing rocks using neural network
A hardware accelerator for Particle Swarm Optimization
A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices
Prioritization of drip-irrigation pump alternatives in agricultural applications: An integrated picture fuzzy BWM&CODAS methodology
Dynamic Type-2 Fuzzy Dependent Dirichlet Regression Mixture clustering model
Computational procedure of performance assessment of lifetime index of Pareto lifetime businesses based on confidence interval
Multi-source fuzzy comprehensive evaluation
Identification of interpretable and accurate fuzzy classifiers and function estimators with hybrid methods
NOCEA: A rule-based evolutionary algorithm for efficient and effective clustering of massive high-dimensional databases
Ensemble of machine learning algorithms for cryptocurrency investment with different data resampling methods
Incorporating user preferences in ant colony optimization for the next release problem
Modified neo-fuzzy neuron-based approach for economic and environmental optimal power dispatch
A convex hull-based data selection method for data driven models
A probabilistic forecasting approach for air quality spatio-temporal data based on kernel learning method
Contrastive learning strategies for better image classification with imbalanced datasets
Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage
An extended interval-valued Pythagorean fuzzy WASPAS method based on new similarity measures to evaluate the renewable energy sources
Clustering large data with uncertainty
A partial load distribution aware cluster migration approach for stable control plane in software-defined wireless sensor networks
A new asynchronous parallel global optimization method based on simulated annealing and differential evolution
An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction
An efficient cluster head election based on optimized genetic algorithm for movable sinks in IoT enabled HWSNs
New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder-Mead algorithm
Explainable nature-inspired optimization via virtual and actual multi-objective strategies to establish a smart earthquake early warning system
Genetic algorithm for optimization of welding variables for height to width ratio and application of ANN for prediction of bead geometry for TIG welding process
A modified Bee Colony Optimization (MBCO) and its hybridization with k -means for an application to data clustering
A new definition for defuzzification of generalized fuzzy numbers and its application
Biogeography-based optimization with adaptive migration and adaptive mutation with its application in sidelobe reduction of antenna arrays
k -relevance vectors: Considering relevancy beside nearness
Dynamic environment prediction on unmanned mobile manipulator robot via ensemble convolutional randomization networks
Companding quantization for deep neural networks
Extracting knowledge from limited data: An updated review of data-driven and model-driven few-shot learning for agriculture
Enhanced all-sky Aurora image classification using pyramid vision transformer and contrastive background contextual transforms
A novel hybrid system for feature selection based on an improved gravitational search algorithm and k-NN method
Study of Hopfield neural network with sub-optimal and random GA for pattern recalling of English characters
Exchange market algorithm
Multiclass SVM based adaptive filter for removal of high density impulse noise from color images
Projection-based comprehensive multi-view clustering with smooth regularization
Observer-based adaptive control of robot manipulators: Fuzzy systems approach
An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system
TFT-LCD module cell layout design using simulation and fuzzy multiple attribute group decision-making approach
Construction of prediction intervals using adaptive neurofuzzy inference systems
A new representation learning based maximum power operation towards improved energy management integration with DG controllers for photovoltaic generators using online deep exponentially expanded RVFLN algorithm
Intelligent decision making under conflicting and cooperative scenarios with incomplete information
Universal strategy of dynamic subpopulation number management in practical network optimization problems
Integrated model and automatically designed solver for power system restoration
Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray images
A meta-heuristic solution for automated refutation of complex software systems specified through graph transformations
α-cut induced Fuzzy Deep Neural Network for change detection of SAR images
Inclusion measures of probabilistic linguistic term sets and their application in classifying cities in the Economic Zone of Chengdu Plain
An iterated tabu search heuristic for the Single Source Capacitated Facility Location Problem