yusuke1997/dblp-id-title huggingface dataset:
Commentary on "A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems" [Appl. Soft Comput., 2016(38) 988-999]
Locally convex-regions approximation using an incremental quadratic-based fuzzy clustering
Oscillatory Particle Swarm Optimizer
Dynamic-linguistic fusion for brain tumor classification: A cross-modal attention framework with clinical interpretability
Self-supervised learning for Electrocardiogram classification using Lead Correlation and Decorrelation
Design of bio-inspired heuristic technique integrated with interior-point algorithm to analyze the dynamics of heartbeat model
Dynamic security consideration in multiobjective electricity markets
Multi swarm bare bones particle swarm optimization with distribution adaption
Enhancement of Self-adaptive real-coded genetic algorithm using Taguchi method for Economic dispatch problem
Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters
Unified particle swarm delivers high efficiency to particle swarm optimization
Investigating a hybrid of Tone-Model and Particle Swarm Optimization techniques in transcribing polyphonic guitar sound
Two effective heuristic methods of determining the numbers of fuzzy clustering centers based on bilevel programming
Graph search and variable neighborhood search for finding constrained longest common subsequences in artificial and real gene sequences
Control of leader-follower formation and path planning of mobile robots using Asexual Reproduction Optimization (ARO)
A vector forecasting model for fuzzy time series
A soft-computing based rough sets classifier for classifying IPO returns in the financial markets
Time series prediction with single multiplicative neuron model
Secured human-centric sustainable healthcare in industry 5.0 through artificial neural synchronization-guided blockchain and vertical federated learning
Adaptive local data and membership based KL divergence incorporating C-means algorithm for fuzzy image segmentation
A Neural network enhanced hidden Markov model for tourism demand forecasting
Hybrid multiobjective optimization algorithm based on multivariate mean square error and fuzzy decision maker
Hybrid SVM-CIPSO methods for optimal operation of reservoir considering unknown future condition
A review of patent analysis based on machine learning
Routing of barge container ships by mixed-integer programming heuristics
Integrated bacteria foraging algorithm for cellular manufacturing in supply chain considering facility transfer and production planning
GANs-generated synthetic datasets for face alignment algorithms in complex environments
Mobility as a Service: An exploration of exact and heuristic algorithms for a new multi-modal multi-objective journey planning problem
Distance mapping overlap complexity metric for class-imbalance problems
A multi-objective evolutionary algorithm based on a grid with adaptive divisions for multi-objective optimization with irregular Pareto fronts
An enriched game-theoretic framework for multi-objective clustering
A generalized average linkage criterion for Hierarchical Agglomerative Clustering
Spatial-frequency convolutional self-attention network for EEG emotion recognition
DEJRNN: A novel fusion recurrent neural network-based complex dynamical system modeling and the convergence analysis
Stochastic optimization using grey wolf optimization with optimal computing budget allocation
Multi-attention representation network partial domain adaptation for COVID-19 diagnosis
Cooperative differential evolution with fast variable interdependence learning and cross-cluster mutation
Grey Wolf production scheduling for the capital goods industry
Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies
Revised solution technique for a bi-level location-inventory-routing problem under uncertainty of demand and perishability of products
Multi-elite guide hybrid differential evolution with simulated annealing technique for dynamic economic emission dispatch
Novel imbalanced multi-class fault diagnosis method using transfer learning and oversampling strategies-based multi-layer support vector machines (ML-SVMs)
Combined size and shape optimization of structures with a new meta-heuristic algorithm
Vector-based swarm optimization algorithm
DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm
Corrigendum to 'Effective multi-objective discrete optimization of Truss-Z layouts using a GPU' [Appl. Soft Comput. 70 (2018) 501-512]
A stock market risk forecasting model through integration of switching regime, ANFIS and GARCH techniques
An improved cuckoo search algorithm for the problem of electric distribution network reconfiguration
An Iterated Local Search to find many solutions of the 6-states Firing Squad Synchronization Problem
Oscillating activation functions can improve the performance of convolutional neural networks
An antigen space density based real-value negative selection algorithm
Covariance matrix adaptation driven dynamic multi-population colony predation optimizer: Insights, qualitative analysis, and constrained engineering optimization
Optimized compression and recovery of electrocardiographic signal for IoT platform
Regularization and concave loss functions for estimation of chemical kinetic models
A parallel compact cuckoo search algorithm for three-dimensional path planning
Data set quality in Machine Learning: Consistency measure based on Group Decision Making
Safety risk assessment of metro construction under epistemic uncertainty: An integrated framework using credal networks and the EDAS method
Consensus-based failure mode and effect analysis in group decision-making with incomplete weights of risk factors: Case study of stereotactic body radiation therapy for lung cancer
A multi-modal multi-objective evolutionary algorithm based on scaled niche distance
Knowledge-driven ant colony optimization algorithm for vehicle routing problem in instant delivery peak period
Multi-view deep support vector machines based on discriminative contrastive loss
A group incremental feature selection for classification using rough set theory based genetic algorithm
A new optimization approach based on Kriging interpolation and sequential quadratic programming algorithm for end milling refractory titanium alloys
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts
Advancing brain tumor segmentation in smart healthcare via T1-generated virtual multimodal MRI fusion
Ensuring expected security cost with flexible resources using modified DE algorithm based dynamic optimal power flow
A parallel chimp optimization algorithm based on tracking-learning and fuzzy opposition-learning behaviors for data classification
A novel risk attitudinal ranking method for intuitionistic fuzzy values and application to MADM
Mixture of latent multinomial naive Bayes classifier
Classical vs. neural network-based PCA approaches for lossy image compression: Similarities and differences
Multi-level features fusion network-based feature learning for machinery fault diagnosis
Bayesian neural architecture search using a training-free performance metric
Corrigendum to "A splicing-driven memetic algorithm for reconstructing cross-cut shredded text documents" [Applied Soft Computing, 45 (2016), 163-172]
Solving the number of cross-dock open doors optimization problem by combination of NSGA-II and multi-objective simulated annealing
A novel learning cloud Bayesian network for risk measurement
The continuous artificial bee colony algorithm for binary optimization
Metaheuristic-based cost-effective predictive modeling for DevOps project success
Parameter identification of fuel cell using Repairable Grey Wolf Optimization algorithm
An ANFIS approach for evaluation of team-level service climate in GSD projects using Taguchi-genetic learning algorithm
A multi-criteria decision-making model for analyzing a project-driven supply chain under interval type-2 fuzzy sets
Fuzzy vector reinforcement learning algorithm for generation control of power systems considering flywheel energy storage
AEFusion: A multi-scale fusion network combining Axial attention and Entropy feature Aggregation for infrared and visible images
Evolutionary multi-objective overlapping community detection based on fusion of internal and external connectivity and correction of node intimacy
A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks
Stock price index forecasting using a multiscale modelling strategy based on frequency components analysis and intelligent optimization
Adaptive comprehensive learning particle swarm optimization with cooperative archive
MASACAD: A multi-agent approach to information customization for the purpose of academic advising of students
A new-structure grey Verhulst model for China's tight gas production forecasting
Ant colony optimization equipped with an ensemble of heuristics through multi-criteria decision making: A case study in ensemble feature selection
Fast meta-models for local fusion of multiple predictive models
A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process
A technical note on the paper "hGA: Hybrid genetic algorithm in fuzzy rule-based classification systems for high-dimensional problems"
A sparse diverse-branch large kernel convolutional neural network for human activity recognition using wearables
A hybrid local-search algorithm for robust job-shop scheduling under scenarios
Multiscale convolution-attention model for efficient Alzheimer's disease and mild cognitive impairment diagnosis approach using sMRI
Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions
Neural collaborative filtering with multicriteria evaluation data
AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization
A comparative study of improved GA and PSO in solving multiple traveling salesmen problem
Uncertain interval TOPSIS and potentially regrettable decisions within ICT evaluation environments
Fusing multi-granular-ball fuzzy information to detect outliers
Tumor volume fuzzification for intelligent cancer staging
An autonomous channel deep learning framework for blood glucose prediction
Topological and Dimensional constraints based optimal placement of Layout Entities using Clustering and Genetic Algorithm
Multi-objective evolutionary algorithm with two balancing mechanisms for heterogeneous UAV swarm path planning
Adaptive inpainting transformer for semantically coherent image completion
Granular Rough Theory: A representation semantics oriented theory of roughness
Combined VMD-SVM based feature selection method for classification of power quality events
Building selective ensembles of Randomization Based Neural Networks with the successive projections algorithm
Data-driven preference learning in multiple criteria decision making in the evidential reasoning context
Direct clustering analysis based on intuitionistic fuzzy implication
Development and investigation of efficient artificial bee colony algorithm for numerical function optimization
From diversity to consensus: Impacts of opinion evolution and psychological behaviours in failure mode and effect analysis
Cellular matrix model for parallel combinatorial optimization algorithms in Euclidean plane
A self-adaptive multi-objective dynamic differential evolution algorithm and its application in chemical engineering
Using the gray wolf optimizer for solving optimal reactive power dispatch problem
Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms
Genetic algorithms in classifier fusion
Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks
Natural neighborhood graph-based instance reduction algorithm without parameters
Application of modified pigeon-inspired optimization algorithm and constraint-objective sorting rule on multi-objective optimal power flow problem
Real-time data-driven automatic design of multi-objective evolutionary algorithm: A case study on production scheduling
Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms
Fuzzy adaptive bacterial foraging congestion management using sensitivity based optimal active power re-scheduling of generators
VTNet: A multi-domain information fusion model for long-term multi-variate time series forecasting with application in irrigation water level
Applications of neuro fuzzy systems: A brief review and future outline
Similarity-evaluation-based evolving of flexible neural trees for imbalanced classification
A locational false data injection attack detection method in smart grid based on adversarial variational autoencoders
Cohesion: A concept and framework for confident association discovery with potential application in microarray mining
An analytical tool to support public policies and isolation barriers against SARS-CoV-2 based on mobility patterns and socio-economic aspects
An iterative solution approach to a multi-objective facility location problem
Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives
A new approach of integrating piecewise linear representation and weighted support vector machine for forecasting stock turning points
Adversarial hard negative samples for continual relation extraction
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization
Developing two heuristic algorithms with metaheuristic algorithms to improve solutions of optimization problems with soft and hard constraints: An application to nurse rostering problems
A deep learning ensemble approach to prioritize antiviral drugs against novel coronavirus SARS-CoV-2 for COVID-19 drug repurposing
Harnessing collaborative learning automata to guide multi-objective optimization based inverse analysis for structural damage identification
Reference vector-based multi-objective clustering for high-dimensional data
Growing deep echo state network with supervised learning for time series prediction
Multi-strategy fuzzy controller based on polar coordinates
An effective biomedical image retrieval framework in a fuzzy feature space employing Phase Congruency and GeoSOM
Dynamic light optimization in vertical farming using an IoT-driven digital twin framework and artificial intelligence
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
Life settlement pricing with fuzzy parameters
Dijkstra solution algorithm considering fuzzy accessibility degree for patch optimization problem
A class of general type-2 fuzzy controller based on adaptive alpha-plane for nonlinear systems
Prediction on recommender system based on bi-clustering and moth flame optimization
A method for finding numerical solutions to Diophantine equations using Spiral Optimization Algorithm with Clustering (SOAC)
Pork farm odour modelling using multiple-component multiple-factor analysis and neural networks
Periodic charging planning for a mobile WCE in wireless rechargeable sensor networks based on hybrid PSO and GA algorithm
A great deluge and tabu search hybrid with two-stage memory support for quadratic assignment problem
A robust fuzzy least squares twin support vector machine for class imbalance learning
FUME: An air quality decision support system for cities based on CEP technology and fuzzy logic
Evolutionary computation-based reliability quantification and its application in big data analysis on semiconductor manufacturing
An integrated PSO for parameter determination and feature selection of ELM and its application in classification of power system disturbances
Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition and sensor glove perspectives
A holistic approach to influence maximization in social networks: STORIE
Development of TODIM with different types of fuzzy sets: A state-of the-art survey
A netting clustering analysis method under intuitionistic fuzzy environment
Behavioural pattern identification and prediction in intelligent environments
Handling imbalanced data for aircraft predictive maintenance using the BACHE algorithm
Combining affinity propagation with differential evolution for three-echelon logistics distribution optimization
Self-organizing interval type-2 fuzzy neural network based on eigenvalue decomposition
Application of particle swarm optimization to association rule mining
A new ranking aggregation model Based on S3WD and PSO for hybrid multi-criteria decision making
Parametric picture fuzzy cross-entropy measures based on d-Choquet integral for building material recognition
A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm
A scalable AI-driven approach for burned-area mapping using U-Net and Landsat imagery
Predicting algorithmic complexity through structure analysis and compression
An active learning method with entropy weighting subspace clustering for remote sensing image retrieval
A deep generative framework for joint households and individuals population synthesis
Optimal allocation of FACTS devices for static security enhancement in power systems via imperialistic competitive algorithm (ICA)
Multimodal medical image fusion using PCNN optimized by the QPSO algorithm
Art style classification via self-supervised dual-teacher knowledge distillation
Unifying approaches to consensus across different preference representations
The role of cardinality and neighborhood sampling strategy in agent-based cooperative strategies for Dynamic Optimization Problems
Komodo Mlipir Algorithm
Rough set based bilateral filter design for denoising brain MR images
An automated approach for the design of Mechanically Stabilized Earth Walls incorporating metaheuristic optimization algorithms
Integrating Support Vector Regression and a geomorphologic Artificial Neural Network for daily rainfall-runoff modeling
Chemical reaction optimization with greedy strategy for the 0-1 knapsack problem
A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks
Differential neural network based adaptive average output feedback control design for dosage determination on cancer based immunotherapy treatment
Partial mutual information based input variable selection for supervised learning approaches to voice activity detection
Interval-valued fermatean fuzzy based risk assessment for self-driving vehicles
A new approach to deal with consistency and consensus issues for hesitant fuzzy linguistic preference relations
A survey of consensus in group decision making under the CWW environment
Cyclic multi-hoist scheduling with fuzzy processing times in flexible manufacturing lines
A novel quasi-oppositional harmony search algorithm for automatic generation control of power system
Connection density based clustering: A graph-based denshttps://doi.org/10.1016/j.asoc.2024.111779ity clustering method
A joint entity and relation extraction framework for handling negative samples problems in named entity recognition
A novel decomposition‐ensemble model for forecasting short‐term load‐time series with multiple seasonal patterns
A feedback-based artificial bee colony algorithm for energy-efficient flexible flow shop scheduling problem with batch processing machines
Automatic classification of high resolution land cover using a new data weighting procedure: The combination of k-means clustering algorithm and central tendency measures (KMC-CTM)
Fuzzy forecasting for long-term time series based on time-variant fuzzy information granules
Cost optimization strategy for dependent task offloading in vehicular edge computing
Immune optimization algorithm for constrained nonlinear multiobjective optimization problems
A comparative review of approaches to prevent premature convergence in GA
IPSMT: Multi-objective optimization of multipath transmission strategy based on improved immune particle swarm algorithm in wireless sensor networks
Pattern similarity-based methods for short-term load forecasting - Part 2: Models
A tabu search approach to solving the picking routing problem for large- and medium-size distribution centres considering the availability of inventory and K heterogeneous material handling equipment
Dual Channel-Spatial Self-Attention Transformer and CNN synergy network for 3D medical image segmentation
Co-guided Dual-channel Graph Neural Networks for the prediction of compound-protein interaction
Energy efficient load balancing approach for avoiding energy hole problem in WSN using Grey Wolf Optimizer with novel fitness function
Hybrid algorithms for the twin-screw extrusion configuration problem
Hierarchical parallel multi-scale graph network for 3d human pose estimation
Clustered-Hybrid Multilayer Perceptron network for pattern recognition application
A tribe competition-based genetic algorithm for feature selection in pattern classification
Multi-Objective Individualized-Instruction Teaching-Learning-Based Optimization Algorithm
An effective retrieval method for 3D models in plastic injection molding for process reuse
An adaptive anti-noise gear fault diagnosis method based on attention residual prototypical network under limited samples
Solving the traveling salesman problem based on an adaptive simulated annealing algorithm with greedy search
Content-based image retrieval techniques for the analysis of dermatological lesions using particle swarm optimization technique
A refined YOLOv5n-based method for detecting pepper flower objects integrating transfer learning
Adaptive Bezier Curve-based Membership Function formulation scheme for Interpretable Edge Detection
An algorithm for automatic dormant tree pruning
An automated brain tumor segmentation and classification using adaptive Bayesian fuzzy clustering
Hybrid fusion of score level and adaptive fuzzy decision level fusions for the finger-knuckle-print based authentication
A multi-objective evolutionary algorithm for steady-state constrained multi-objective optimization problems
An assessment of the banking industry performance based on Intuitionistic fuzzy Best-Worst Method and fuzzy inference system
Simultaneous topology and sizing optimization of a water distribution network using a hybrid multiobjective evolutionary algorithm
Quantum based Whale Optimization Algorithm for wrapper feature selection
Mutation-based genetic algorithm: performance evaluation
A generative adversarial neural network model for industrial boiler data repair
Optimization of varying-parameter drilling for multi-hole parts using metaheuristic algorithm coupled with self-adaptive penalty method
Human activity recognition using a multi-branched CNN-BiLSTM-BiGRU model
Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach
RACE-RANK: A hybrid rule-based classifier using PageRank algorithm
The effect of elitist fitness-based selection on the escape from local optima
Trustworthiness assessment for industrial IoT as multilayer networks with von Neumann entropy
An archive-based self-adaptive artificial electric field algorithm with orthogonal initialization for real-parameter optimization problems
Piecewise regression for fuzzy input-output data with automatic change-point detection by quadratic programming
An evolutionary approach to solve a system of multiple interrelated agent problems
3D human pose estimation with cross-modality training and multi-scale local refinement
Interact2Vec - An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems
A novel solution approach for multiobjective linguistic optimization problems based on the 2-tuple fuzzy linguistic representation model