yusuke1997/dblp-id-title huggingface dataset:
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets
A vine-copulas based multi-sensor fusion structural damage monitoring method and its application in dam engineering
Estimation of lactate threshold with machine learning techniques in recreational runners
Selecting a diverse set of benchmark instances from a tunable model problem for black-box discrete optimization algorithms
The travelling salesman problem with time windows: Adapting algorithms from travel-time to makespan optimization
AP-TLB-IGWO: Adult-pup teaching-learning based interactive grey wolf optimizer for numerical optimization
Meta-heuristic search algorithms in truss optimization: Research on stability and complexity analyses
Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey
Fast Laplacian twin support vector machine with active learning for pattern classification
Evolving cellular automata to generate nonlinear sequences with desirable properties
Comparative study of pheromone control heuristics in ACO algorithms for solving RCPSP problems
Multi-view nonnegative matrix factorization via orthogonal and adversarial graph regularization
The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction
A convolutional neural network model for abnormality diagnosis in a nuclear power plant
Neural network modeling relationship between inputs and state mapping plane obtained by FDA-t-SNE for visual industrial process monitoring
A new iterative mutually coupled hybrid GA-PSO approach for curve fitting in manufacturing
Hybrid models in agent-based environmental decision support
A method considering and adjusting individual consistency and group consensus for group decision making with incomplete linguistic preference relations
Local search for weighted sum coloring problem
High-speed target tracking by fuzzy hostility-induced segmentation of optical flow field
Online ensemble learning with abstaining classifiers for drifting and noisy data streams
Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images
Constrained reinforcement learning framework for investor preference analysis with online convex optimization
Multi-objective optimization for improving machining benefit based on WOA-BBPN and a Deep Double Q-Network
Novel hybrid ANN and clustering inspired load balancing algorithm in cloud environment
A simulated annealing-based optimal threshold determining method in edge-based segmentation of grayscale images
Semantic schema based genetic programming for symbolic regression
Ensemble of texture descriptors for face recognition obtained by varying feature transforms and preprocessing approaches
How to select a promising enterprise for venture capitalists with prospect theory under intuitionistic fuzzy circumstance?
Hybridized ant colony algorithm for the Multi Compartment Vehicle Routing Problem
A modified Grey Wolf Optimization with Cuckoo Search Algorithm for load frequency controller design of hybrid power system
Fuzzy rules emulated network and its application on nonlinear control systems
Autonomous control for multi-agent non-uniform spraying
A novel multi-objective mutation flower pollination algorithm for the optimization of industrial enterprise R&D investment allocation
Training generative adversarial networks by auxiliary adversarial example regulator
Skin lesion classification with mini-batch sampling and deep metric learning
Variable neighborhood-based Cuckoo Search for production routing with time window and setup times
A picture fuzzy set multi criteria decision-making approach to customize hospital recommendations based on patient feedback
Centralized and distributed spectrum channel assignment in cognitive wireless networks: A Harmony Search approach
Sentiment classification using attention mechanism and bidirectional long short-term memory network
A genetic operators-based Ant Lion Optimiser for training a medical multi-layer perceptron
Multi-Scale Sub-graph View Generation and Siamese Contrastive Learning for Graph Representations
Optimizing multi-focus image fusion through convolutional attention vision transformers and spatial consistency models
Title Paper: Natural computing: A problem solving paradigm with granular information processing
KASRA: A Kriging-based Adaptive Space Reduction Algorithm for global optimization of computationally expensive black-box constrained problems
Mobile robot navigation using motor schema and fuzzy context dependent behavior modulation
Bayesian incremental learning paradigm for online monitoring of dam behavior considering global uncertainty
Hybrid evolutionary learning for synthesizing multi-class pattern recognition systems
Forecasting CO 2 emissions from Chinese marine fleets using multivariable trend interaction grey model
A hybrid artificial intelligence model for river flow forecasting
GPHC: A heuristic clustering method to customer segmentation
Ant colony optimization based hierarchical multi-label classification algorithm
Macroscopic GA-based Multi-Objective Traffic Light Optimization prioritizing tramways
Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning
Quantile regression network-based cross-domain prediction model for rolling bearing remaining useful life
Interactive Genetic Algorithm with Mixed Initiative Interaction for multi-criteria ground water monitoring design
Local mean decomposition and artificial neural network approach to mitigate tool chatter and improve material removal rate in turning operation
Mixed convolutional network via homogeneity map guided adaptive fusion for polarimetric SAR image classification
A multicriteria decision making methodology based on two-dimensional uncertainty by hesitant Z-fuzzy linguistic terms with an application for blockchain risk evaluation
Aircraft taxi time prediction: Comparisons and insights
Stock trading rule discovery with double deep Q-network
Neural networks based on interval-valued pseudo overlap and grouping functions with applications to fuzzy reasoning and image classification
A multi-direction guided mutation-driven stable swarm intelligence algorithm with translation and rotation invariance for global optimization
A new multi criteria decision making approach for medical imaging systems considering risk factors
Enhancing soil moisture prediction with explainable AI: Integrating IoT and multi-sensor remote sensing data through soft computing
Stochastic jump diffusion process informed neural networks for accurate American option pricing under data scarcity
QDS-COVID: A visual analytics system for interactive exploration of millions of COVID-19 healthcare records in Brazil
Imbalanced credit risk evaluation based on multiple sampling, multiple kernel fuzzy self-organizing map and local accuracy ensemble
A fuzzy logistic-based ensemble framework with heterogeneous weighting effects for credit risk evaluation
Memory guided Aquila optimization algorithm with controlled search mechanism for seismicity analysis of earthquake prone regions
Binarized Spiking Neural Network with blockchain based intrusion detection framework for enhancing privacy and security in cloud computing environment
Enhancing robustness and time efficiency of random vector functional link with optimized affine parameters in activation functions and orthogonalization
Personalised healthy food text recommendations through fuzzy linguistic variables: A generative AI-based approach
Refining the rule base of fuzzy classifier to support the evaluation of fetal condition
A novel 3D skeleton algorithm based on neutrosophic cost function
Self-adjusting multilayer nonlinear coupled mapping for low-resolution face recognition
A fuzzy multi-criteria decision-making model based on simple additive weighting method and relative preference relation
Ant colony optimization-based traffic routing with intersection negotiation for connected vehicles
An agent that learns to support users of a Web site
Artificial intelligence-based semi-supervised crop and weed semantic segmentation
AVQS-NN: Adaptive Virtualization for Quantum Services for application support using Neural Networks
Dynamic multi-objective optimization for uncertain order insertion green shop production scheduling
Ant colony optimization enhanced with ensemble of pheromone vectors using multi-criteria decision making: A case study in multi-label text feature selection
Concurrent attentional reconstruction network for 3D point cloud reconstruction from single image
Domain adaptive person re-identification with noise optimization and dynamic weighting
An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process
An ICA based approach for solving profit based unit commitment problem market
Clustering ensemble based on approximate accuracy of the equivalence granularity
A novel learning based approach for a new integrated location-routing and scheduling problem within cross-docking considering direct shipment
Tackling global optimization problems with a novel algorithm - Mouth Brooding Fish algorithm
Fermatean fuzzy based Quality Function Deployment methodology for designing sustainable mobility hub center
Dual-centers type-2 fuzzy clustering framework and its verification and validation indices
Developing sustainable management strategies in construction and demolition wastes using a q-rung orthopair probabilistic hesitant fuzzy set-based decision modelling approach
Multilinear hyperspectral unmixing based on autoencoder and recurrent neural network
Dynamic bandwidth allocation for 3G wireless systems - A fuzzy approach
Choosing among weight-estimation methods for multi-criterion analysis: A case study for the design of multi-purpose offshore platforms
Complex network graph embedding method based on shortest path and MOEA/D for community detection
Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy
The ensemble deep learning model for novel COVID-19 on CT images
Addressing key challenges of adversarial attacks and defenses in the tabular domain: A methodological framework for coherence and consistency
Neutrosophic hyperbolic programming strategy for uncertain multi-objective transportation problem
A high-precision crown control strategy for hot-rolled electric steel using theoretical model-guided BO-CNN-BiLSTM framework
Incorporating temporal multi-head self-attention convolutional networks and LightGBM for indoor air quality prediction
A multi-attribute group decision model based on unbalanced and multi-granular linguistic information: An application to assess entrepreneurial competencies in secondary schools
Zero-knowledge clustering and selective federated distillation for decentralized federated learning
Artificial neural network training using a new efficient optimization algorithm
Emotion-infused deep neural network for emotionally resonant conversation
SPCM: Image quality assessment based on symmetry phase congruency
Automatic design of analog electronic circuits using grammatical evolution
Multi-objective SHADE with manta ray foraging optimizer for structural design problems
Cost-sensitive stacked long short-term memory with an evolutionary framework for minority class detection
Hybrid genetic algorithm with fuzzy logic for resource-constrained project scheduling
Optimal design of adaptive type-2 neuro-fuzzy systems: A review
Variable speed multi-task allocation for mobile crowdsensing based on a multi-objective shuffled frog leaping algorithm
Boosted neural network ensemble classification for lung cancer disease diagnosis
Detail-rich pore-scale reconstruction with conditional latent diffusion
Special issue on intelligent decision support systems based on soft computing and their applications in real-world problems
Quantum fractional order Darwinian particle swarm optimization for hyperspectral multi-level image thresholding
Behavior-based ransomware classification: A particle swarm optimization wrapper-based approach for feature selection
Automated CNN optimization using multi-objective grammatical evolution
Information granule formation via the concept of uncertainty-based information with Interval Type-2 Fuzzy Sets representation and Takagi-Sugeno-Kang consequents optimized with Cuckoo search
Dynamic scheduling using a pheromone-based approach in multi-agent systems
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images
A probabilistic-based approach for automatic identification and refactoring of software code smells
Wavelet based Neuro-Detector for low frequencies of vibration signals in electric motors
Novel hybrid discrete differential evolution algorithm for the multi-stage multi-purpose batch plant scheduling problem
Attention-based Frequency-aware Multi-scale Network for Sequential Recommendation
An infinite-resolution grid snapping technique based on fuzzy theory
Byzantine-resistant model verification for decentralized federated learning in intelligent transportation systems
Granular computing-based time series anomaly pattern detection with semantic interpretation
A similarity measure-based Pythagorean fuzzy additive ratio assessment approach and its application to multi-criteria sustainable biomass crop selection
An adaptive state transition algorithm with local enhancement for global optimization
Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation
High dynamic range optimal fuzzy color image enhancement using Artificial Ant Colony System
Surrogate-assisted fully-informed particle swarm optimization for high-dimensional expensive optimization
A fermatean fuzzy SWARA-TOPSIS methodology based on SCOR model for autonomous vehicle parking lot selection
Feature fusion and kernel selective in Inception-v4 network
Acceleration-based artificial bee colony optimizer for a distributed permutation flowshop scheduling problem with sequence-dependent setup times
A linguistic granular computing approach for failure mode and effect analysis
Retraction notice to "Video associated cross-modal recommendation algorithm based on deep learning" [Appl. Soft Comput. 82 (2019) 105597]
Developing fast predictors for large-scale time series using fuzzy granular support vector machines
An analysis of control parameters of MOEA/D under two different optimization scenarios
Towards sustainable societies: Convolutional neural networks optimized by modified crayfish optimization algorithm aided by AdaBoost and XGBoost for waste classification tasks
Image smoothing with generalized random walks: Algorithm and applications
Quantifying reusability of software components using hybrid fuzzy analytical hierarchy process (FAHP)-Metrics approach
An ensemble learning based prediction strategy for dynamic multi-objective optimization
Multi-criterion Intelligent Decision Support system for COVID-19
RGB-D indoor scene parsing via wavelet sub-band guided transformer
A novel multi-agent approach to identify faults in line connected three-phase induction motors
Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation
A revision algorithm for invalid encodings in concurrent formation of overlapping coalitions
EEG microstates classification empowered with optimum-path forest using different distance measurements
Three-and-six-month-before forecast of water resources in a karst aquifer in the Terminio massif (Southern Italy)
Modified Newton integration neural algorithm for solving the multi-linear M-tensor equation
A novel artificial bee colony algorithm with local and global information interaction
Nonlinear continuous multi-response problems: a novel two-phase hybrid genetic based metaheuristic
Solving the multi-objective economic emission dispatch problems using Fast Non-Dominated Sorting TVAC-PSO combined with EMA
A multi-phase oscillated variable neighbourhood search algorithm for a real-world open vehicle routing problem
Probability-optimal leader comprehensive learning particle swarm optimization with Bayesian iteration
Scheduling the truckload operations in automated warehouses with alternative aisles for pallets
Simplex filter: A novel heuristic filter for nonlinear systems state estimation
Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems
On decomposition methods in interactive user-preference based optimization
Optimizing renewable transportation framework by an extended spherical fuzzy rough multi-criteria group decision making method
A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks
Social-Based Algorithm (SBA)
Comment-based summarization using a multi-objective cuckoo search optimization approach
An efficient DDoS attack detection and prevention model using fusion heuristic enhancement of deep learning approach in FANET sector
Embedding regularized nonnegative matrix factorization for structural reduction in multi-layer networks
What makes evolutionary multi-task optimization better: A comprehensive survey
Data driven meta-modelling for response prediction and sensitivity analysis of fastened GFRP laminates
Corrigendum to "Dual quaternion hand-eye calibration algorithm for hunter-prey optimization based on twice opposition-learning and random differential variation" Appl. Soft Comput. J. 154 (2024) 111249
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers
A variable-parameter ZNN with predefined-time convergence for dynamic complex-valued Lyapunov equation and its application to AOA positioning
Attention distribution guided information transfer networks for recommendation in practice
An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images
Efficient real-time visual anomaly detection via frequency-aware diffusion model and information fusion
A pure convolutional neural network for fault diagnosis of rotary machinery
A multi-objective immune algorithm for intrusion feature selection
Palm Dorsa Vein Pattern based biometric verification system using Anisotropic Generalized Procrustes Analysis on weighted training dictionary
An efficient soft-computing technique for extraction of EEG signal from tainted EEG signal
Graph-based density peak merging for identifying multi-peak clusters
A hybrid dermoscopy images segmentation approach based on neutrosophic clustering and histogram estimation
A diversity enhanced tree-seed algorithm based on double search with genetic and automated learning search strategies for image segmentation
A top-weighted classification method with expert ability characterization for failure mode and effect analysis
DefGCL: Defence-enhanced graph contrastive learning against attribute inference attacks
JayaX: Jaya algorithm with xor operator for binary optimization
A space variable-scale scheduling method for digital vehicle-to-grid platform under distributed electric energy storage
Application of intelligent systems for specification of automotive equipments using LEDs
Enhancing smart tightening diagnosis: A transformer-based approach with sensor fusion, self-supervised learning and data augmentation
Multi-objective stochastic closed-loop supply chain network design with social considerations
Quantum inspired Particle Swarm Optimization with guided exploration for function optimization
Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest
A universal strengthened searching module for multi-objective optimization based on variable properties
Unveiling Evasive Portable Documents with Explainable Kolmogorov-Arnold Networks Resilient to Generative Adversarial Attacks
Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances
An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment
A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution
Optimizing performance evaluation of green supply chain management practices with linguistic q-rung orthopair fuzzy information
Sizing and layout design of truss structures under dynamic and static constraints with an integrated particle swarm optimization algorithm
Label disambiguation-based feature selection for partial label learning via fuzzy dependency and feature discernibility
Modeling glass-forming ability of bulk metallic glasses using computational intelligent techniques
Fusion of transformer attention and CNN features for skin cancer detection
Evolutionary conditional GANs for supervised data augmentation: The case of assessing berry number per cluster in grapevine
An efficient memory-based electromagnetism-like mechanism for the redundancy allocation problem
A study of uncertain 4D transportation problems with rough interval parameters and additional real-life factors
Optimization of multiband cooperative spectrum sensing with modified artificial bee colony algorithm
Genetic algorithm-based optimisation of load-balanced routing for AMI with wireless mesh networks
Cryptocurrency malware detection in real-world environment: Based on multi-results stacking learning
Differential evolution with mixed mutation strategy based on deep reinforcement learning
dCC-Integrals: A generalization of CC-integrals by restricted dissimilarity functions with applications on two different contexts
Island-based Crow Search Algorithm for solving optimal control problems
Fuzzy deep learning for modeling uncertainty in character recognition using EEG signals
Back propagation genetic and recurrent neural network applications in modelling and analysis of squeeze casting process
A hybrid genetic algorithm and particle swarm optimization for multimodal functions
Trainable Monte Carlo-MLP for cost uncertainty in resilient supply chain optimization with additive manufacturing implementation challenges
A hybrid technique for path planning of humanoid robot NAO in static and dynamic terrains
Supervised machine learning based gait classification system for early detection and stage classification of Parkinson's disease
Learning inherent stationarity and spatiotemporal heterogeneity in time-varying streams for online traffic forecasting
A 2-Opt based differential evolution for global optimization
Agile trends in Chinese global software development industry: Fuzzy AHP based conceptual mapping
A fast and automated segmentation method for detection of masses using folded kernel based fuzzy c-means clustering algorithm
Option price prediction based on optimized decomposition-dynamic ensemble and text mining
Bug priority prediction using deep ensemble approach
An artificial bee colony algorithm with a balance strategy for wireless sensor network
Measures in the time and frequency domains for fitness landscape analysis of dynamic optimization problems
Lightning search algorithm-based contextually fused multilevel image segmentation
Soft computing based multi-objective optimization of steam cycle power plant using NSGA-II and ANN
Overlapping community detection based on graph attention autoencoder and self-trained clustering
Visualization and classification of mushroom species with multi-feature fusion of metaheuristics-based convolutional neural network model
Stepping ahead Firefly Algorithm and hybridization with evolution strategy for global optimization problems
Application of an MCDM model with data mining techniques for green supplier evaluation and selection
An integrated production and transportation scheduling problem with order acceptance and resource allocation decisions
Highly secured chaotic block cipher for fast image encryption
Distributed HS-ARTMAP and its forecasting model for electricity load
Fault diagnostics between different type of components: A transfer learning approach
Diversity-driven automated web API recommendation based on implicit requirements