yusuke1997/dblp-id-title huggingface dataset:
A trust-based performance measurement modeling using t-norm and t-conorm operators
Improving speech emotion recognition using gated cross-modal attention and multimodal homogeneous feature discrepancy learning
Classification of the cardiotocogram data for anticipation of fetal risks using machine learning techniques
A novel effective diagnosis model based on optimized least squares support machine for gene microarray
Predicting weather events using fuzzy rule based system
Non-stationary power signal processing for pattern recognition using HS-transform
Intelligent Fuzzy Controller Design: Disturbance Rejection Cases
A comprehensive review of artificial intelligence in Electrocardiogram diagnostics: Integrating knowledge map and meta-analysis approaches
Pioneer Pareto artificial bee colony algorithm for three-dimensional objective space optimization of composite-based layered radar absorber
Collaborative semantic representation network for metaphor detection
Improvement of time forecasting models using a novel hybridization of bootstrap and double bootstrap artificial neural networks
Dual-archive-based particle swarm optimization for dynamic optimization
A three-way trajectory privacy-preserving model based on multi-feature fusion
Machine learning-based forecasting of firemen ambulances' turnaround time in hospitals, considering the COVID-19 impact
Identification of influential nodes with Shapley Influence Maximization Extremal Optimization algorithm
Task assignment with imprecise information for real-time operation in a supply chain
The construction and analysis of the 3C manufacturer-led distributor optimization consignment model using global search particle swarm optimization
Double recurrent interaction V1-V2-V4 based neural architecture for color natural scene boundary detection and surface perception
A Lyapunov-stability-based context-layered recurrent pi-sigma neural network for the identification of nonlinear systems
A directed genetic algorithm for economic dispatch and network-constrained economic dispatch: Convergence proof
Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line
Hybrid heuristic-waterfilling game theory approach in MC-CDMA resource allocation
Two hybrid differential evolution algorithms for optimal inbound and outbound truck sequencing in cross docking operations
A remaining useful life prediction method with long-short term feature processing for aircraft engines
A fast genetic algorithm for a critical protection problem in biomedical supply chain networks
Application of a mixed fuzzy decision making and optimization programming model to the empty container allocation
Multidimensional assessment of the European Energy Union: Integrating artificial intelligence and quantum fuzzy ranking approaches
An extension of fuzzy TOPSIS for a group decision making with an application to tehran stock exchange
Differential evolution training algorithm for dendrite morphological neural networks
Hybrid bare-bones PSO for dynamic economic dispatch with valve-point effects
Adaptive neuro-fuzzy prediction of grasping object weight for passively compliant gripper
Robust estimation of distribution algorithms via fitness landscape analysis for optimal low-thrust orbital maneuvers
Indirect adaptive structure for multivariable neural identification and control of a pilot distillation plant
Splitting-merging-based automatic scheduling scheme for balancing energy consumption and task allocation in WSANs
Credit risk prediction based on an interpretable three-way decision method: Evidence from Chinese SMEs
Pareto based ant lion optimizer for energy efficient scheduling in cloud environment
Design of intelligent computing solver with Morlet wavelet neural networks for nonlinear predator-prey model
A many-objective particle swarm optimization with grid dominance ranking and clustering
Fuzzy clustering-based neural network based on linear fitting residual-driven weighted fuzzy clustering and convolutional regularization strategy
A new approach based on particle swarm optimization algorithm for solving data allocation problem
A novel RK4-Hopfield Neural Network for Power Flow Analysis of power system
Online hybrid traffic classifier for Peer-to-Peer systems based on network processors
Multivariate technique for the prediction and classification of brain tumor using deep shallow network
Neighborhood-adaptive differential evolution for global numerical optimization
Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet
A tabu search based hybrid evolutionary algorithm for the max-cut problem
Evaluation of performance enhancement in Ethereum fraud detection using oversampling techniques
Segmentation and classification of knee joint ultrasonic image via deep learning
Applying Artificial Intelligence and Deep Belief Network to predict traffic congestion evacuation performance in smart cities
Comprehensive system based on a DNN and LSTM for predicting sinter composition
Multi-Source Transfer Learning for zero-shot Structural Damage Detection
A novel cross domain deep network for unsupervised fault diagnosis of rotating machinery
Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model
Multi-local search-based general variable neighborhood search for distributed flow shop scheduling in heterogeneous multi-factories
Bioinspired approach-sensitive neural network for collision detection in cluttered and dynamic backgrounds
A holistic multi-objective optimization design procedure for ensemble member generation and selection
Hierarchical deep learning for multi-label imbalanced text classification of economic literature
Integration of discriminative and generative models for activity recognition in smart homes
Local segmentation of images using an improved fuzzy C-means clustering algorithm based on self-adaptive dictionary learning
Interval neutrosophic stochastic dynamical systems driven by Brownian motion
AdamR-GRUs: Adaptive momentum-based Regularized GRU for HMER problems
Planning optimal power dispatch schedule using constrained ant colony optimization
OLLAWV: OnLine Learning Algorithm using Worst-Violators
Community robustness and its enhancement in interdependent networks
Source code and design conformance, design pattern detection from source code by classification approach
Deep multi-view representation learning for social images
A decomposition-based multiobjective evolutionary algorithm using Simulated Annealing for the ambulance dispatching and relocation problem during COVID-19
Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification
ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions
An adaptive neural architecture optimization model for retinal disorder diagnosis on 3D medical images
Collaborative emergency decision-making for public health events: An integrated BWM-TODIM approach with multi-granularity extended probabilistic linguistic term sets
Voice quality conversion using interactive evolution of prosodic control
Study of multi-branch structure of Universal Learning Networks
Researching the development of Atanassov intuitionistic fuzzy set: Using a citation network analysis
Studying the controversy in online crowds' interactions
Multi-objective optimization of hexahedral pyramid crash box using MOEA/D-DAE algorithm
Recognition of control chart patterns using an intelligent technique
Differential evolution with rankings-based fitness function for constrained optimization problems
Chaotic time series prediction for the game, Rock-Paper-Scissors
A checkpointed league championship algorithm-based cloud scheduling scheme with secure fault tolerance responsiveness
Multi-label feature selection based on neighborhood mutual information
Towards curriculum learning of multi-document summarization using difficulty-aware mixture-of-experts
Cross-modal scenario generation for stock price forecasting using Wasserstein GAN and GCN
Constructing a stock-price forecast CNN model with gold and crude oil indicators
Tabu Search in revealing the internal state of RC4+ cipher
Quantum annealing algorithm for fault section location in distribution networks
An AIS-based hybrid algorithm with PDRs for multi-objective dynamic online job shop scheduling problem
Assuming multiobjective metaheuristics to solve a three-objective optimisation problem for Relay Node deployment in Wireless Sensor Networks
Comparison of fuzzy logic based models for the multi-response surface problems with replicated response measures
Multi-criteria selection of a deep-water port in the Eastern Baltic Sea
Multi-period medical user generated content fusion for physician rating based on preference disaggregation
Mining the features of spatial adjacency relationships to improve the classification of high resolution remote sensing images based on complex network
Discovering ensembles of small language models out of scarcely labelled data for fake news detection
A double-layer forecasting model for PV power forecasting based on GRU-Informer-SVR and Blending ensemble learning framework
Interval type-2 outlier-robust picture fuzzy clustering and its application in medical image segmentation
A mutated salp swarm algorithm for optimum allocation of active and reactive power sources in radial distribution systems
A semi-supervised non-negative matrix factorization model for scRNA-seq data analysis
Multinodal load forecasting for distribution systems using a fuzzy-artmap neural network
Multi-objective simulation optimization for uncertain resource assignment and job sequence in automated flexible job shop
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology
Modeling and coordinated optimization method featuring coupling relationship among subsystems for improving safety and efficiency of drilling process
Fuzzy rule dropout with dynamic compensation for wide learning algorithm of TSK fuzzy classifier
A hybrid optimization approach to conformance testing of finite automata
Evolutionary design in a multi-agent design environment
Towards an integrated evolutionary strategy and artificial neural network computational tool for designing photonic coupler devices
A clustering based methodology to support the translation of medical specifications to software models
Fuzzy trust evaluation and credibility development in multi-agent systems
A class-specific metric learning approach for graph embedding by information granulation
Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time-frequency information
A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding
An improved scheme for digital mammogram classification using weighted chaotic salp swarm algorithm-based kernel extreme learning machine
Incremental updating fuzzy tolerance rough set approach in intuitionistic fuzzy information systems with fuzzy decision
Fuzzy and MultiAgent Instructional Planner for an Intelligent Tutorial System
New bounded variation based similarity measures between Atanassov intuitionistic fuzzy sets for clustering and pattern recognition
Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data
Distributed feature selection: An application to microarray data classification
A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation
Local probabilistic model for Bayesian classification: A generalized local classification model
Trust your neighbours: Handling noise in multi-objective optimisation using kNN-averaging
A quantum-based approach for offensive security against cyber attacks in electrical infrastructure
Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency
A novel approach for combination of individual and group decisions based on fuzzy best-worst method
A novel weight pruning strategy for light weight neural networks with application to the diagnosis of skin disease
Gene expression programming with dual strategies and neighborhood search for symbolic regression problems
High-performance stock index trading via neural networks and trees
Support vector machine applications in the field of hydrology: A review
MMDGAN: A fusion data augmentation method for tomato-leaf disease identification
Mortality prediction of septic shock patients using probabilistic fuzzy systems
Supplier selection model for commodities procurement. Optimised assessment using a fuzzy decision support system
Erratum to "An efficient method to represent and process imprecise knowledge" [Appl. Soft Compututing 8 (March (2)) (2008) 1050-1067]
Damage assessment in truss structures with limited sensors using a two-stage method and model reduction
An improved self-adaptive grey wolf optimizer for the daily optimal operation of cascade pumping stations
A bi-level memetic algorithm for the integrated order and vehicle scheduling in a RMFS
A novel filter-wrapper hybrid greedy ensemble approach optimized using the genetic algorithm to reduce the dimensionality of high-dimensional biomedical datasets
Enhanced affine invariant matching of broken boundaries based on particle swarm optimization and the dynamic migrant principle
A facial expression and expert recommendation fuzzy decision-making approach for sustainable business investments within the metaverse world
Gait based Parkinson's disease diagnosis and severity rating using multi-class support vector machine
Interval type-2 fuzzy logic based antenatal care system using phonocardiography
Particle swarm optimization with adaptive time-varying topology connectivity
Fuzzy multi-hop clustering protocol: Selection fuzzy input parameters and rule tuning for WSNs
Rough set analysis on call center metrics
Prediction of surface roughness during hard turning of AISI 4340 steel (69 HRC)
LFNN: Lion fuzzy neural network-based evolutionary model for text classification using context and sense based features
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection
Hyperbolic spatial-temporal network for session-based recommendation
An explainable decision model based on extended belief-rule-based systems to predict admission to the intensive care unit during COVID-19 breakout
Hybridization strategies for continuous ant colony optimization and particle swarm optimization applied to data clustering
An evolutionary block based network for medical image denoising using Differential Evolution
A neuro-fuzzy approach for modelling electricity demand in Victoria
Space partitioning based image compression using quality measures for subdivision decision
A constrained cooperative guidance algorithm based on gray wolf optimization against highly maneuvering target
Balancing composite motion optimization using R-ERNN with plant disease
Cascading adaptive binary image feature maps with vision transformer for iris spoof detection
A non-uniform multi-point incremental Kriging facing with discrete response surfaces
Feedback learning particle swarm optimization
Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks
Hierarchical genetic-particle swarm optimization for bistable permanent magnet actuators
Comprehensive preference learning and feature validity for designing energy-efficient residential buildings using machine learning paradigms
Increasing the explainability and trustiness of Wang-Mendel fuzzy system for classification problems
SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks
Electroencephalogram-based emotion assessment system using ontology and data mining techniques
Improving mutation strategies in differential evolution with a new pbest selection mechanism
DiffNodesets: An efficient structure for fast mining frequent itemsets
Quantum FP-growth algorithm using GPU simulation- application to digital soil mapping
Deep domain-adversarial anomaly detection with partial gradient reversal
Multi-criteria optimization classifier using fuzzification, kernel and penalty factors for predicting protein interaction hot spots
A novel two-stage evolutionary optimization method for multiyear expansion planning of distribution systems in presence of distributed generation
An improved variable neighborhood search for parallel drone scheduling traveling salesman problem
ClipCap+ +: An efficient image captioning approach via image encoder optimization and LLM fine-tuning
An intuitive distance-based explanation of opposition-based sampling
Self-organizing interval type-2 function-link fuzzy neural network control for uncertain manipulators under saturation: A predefined-time sliding-mode approach
An integrated mathematical model for solving dynamic cell formation problem considering operator assignment and inter/intra cell layouts
Measuring and evaluating the Home Health Care Scheduling Problem with Simultaneous Pick-up and Delivery with Time Window using a Tabu Search metaheuristic solution
A network reconfiguration approach for power system restoration based on preference-based multiobjective optimization
Consensus building in multiperson decision making with heterogeneous preference representation structures: A perspective based on prospect theory
A dedicated very low power analog VLSI architecture for smart adaptive systems
Application of a density based clustering technique on biomedical datasets
Interactive channel attention for rotating component fault detection with strong noise and limited data
TSVM-M3: Twin support vector machine based on multi-order moment matching for large-scale multi-class classification
Fine-to-coarse self-attention graph convolutional network for skeleton-based action recognition
Margin-based angular losses for lightweight text classification: Lessons from face recognition
Performance evaluation of fuzzy-based decision system for pool
A hybrid teaching and learning-based optimization algorithm for distributed sand casting job-shop scheduling problem
Real-time evaluation of object detection models across open world scenarios
Autonomic performance prediction framework for data warehouse queries using lazy learning approach
Using Radial Basis Function and Back Propagation to predicate fault in a railway dangerous goods transportation system considering the Markov Correction
Optimized twin spatio-temporal convolutional neural network with squeezenet transfer learning model for cancer miRNA biomarker classification
Metaheuristic approaches to grouping problems in high-throughput cryopreservation operations for fish sperm
Preventing epidemic spreading in networks by community detection and memetic algorithm
Cat swarm optimization with normal mutation for fast convergence of multimodal functions
Evolutionary-based techniques for real-life optimisation: development and testing
Squeeze-and-excitation 3D convolutional attention recurrent network for end-to-end speech emotion recognition
Two-pronged feature reduction in spectral clustering with optimized landmark selection
Prediction of index futures movement using TimeGAN and 3D-CNN: Empirical evidence from Korea and the United States
Preference similarity network structural equivalence clustering based consensus group decision making model
SVR with hybrid chaotic genetic algorithms for tourism demand forecasting
An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem
Digital IIR filter design using multi-objective optimization evolutionary algorithm
Application of visual clustering properties of self organizing map in machine-part cell formation
Empirical problem decomposition - the key to the evolutionary effectiveness in solving a large-scale non-binary discrete real-world problem
The neighborhood rough set based on division-mining-fusion strategy
Immune deep reinforcement learning-based path planning for mobile robot in unknown environment
A grey wolf optimizer using Gaussian estimation of distribution and its application in the multi-UAV multi-target urban tracking problem
Ranking-based multi/many-objective evolutionary optimization with hierarchical evaluation rules and its application in water distribution network
A Knowledge-Based Ant Colony Optimization for Flexible Job Shop Scheduling Problems
Artifical bee colony algorithm using problem-specific neighborhood strategies for the tree t-spanner problem
Incorporating biological knowledge for construction of fuzzy networks of gene associations
Sequential seeding to optimize influence diffusion in a social network
Artificial neural networks in drought prediction in the 21st century-A scientometric analysis
A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer
A novel diagnostic and prognostic framework for incipient fault detection and remaining service life prediction with application to industrial rotating machines
A Pythagorean fuzzy Z~-number-based neutrality aggregation model for AI-enabled energy efficiency management
Learning rules for Sugeno ANFIS with parametric conjunction operations
Interactively iterative group decision-making method with interval-valued intuitionistic fuzzy preference relations based on a new additively consistent concept
An LSTM-stacked autoencoder multisource response prediction and constraint optimization for scaled expansion tubes
Feature selection in high-dimensional classification via an adaptive multifactor evolutionary algorithm with local search
A triangular hashing learning approach for olfactory EEG signal recognition
Calibrating wavelet neural networks by distance orientation similarity fuzzy C-means for approximation problems
An engineering approach to human resources performance evaluation: Hybrid MCDM application with interactions
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
Grammatical Evolution-based ensembles for algorithmic trading
Multiple features based approach for automatic fake news detection on social networks using deep learning
Data preprocessing to improve fairness in machine learning models: An application to the reintegration process of demobilized members of armed groups in Colombia
Total flow time minimization in no-wait job shop using a hybrid discrete group search optimizer
A three-stage learning approach to cross-domain person re-identification
Session-based social and dependency-aware software recommendation
Identifying suicidal ideations from social media posts using deep learning and explainable AI-driven approach
Design of an adaptive fuzzy-neural inference system-based control approach for robotic manipulators
Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment
A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost
Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium
Multi-guided population co-evolutionary algorithm based on multiple similarity decomposition for large-scale flexible job shop scheduling problem
A multi-neural network fusion algorithm for fire warning in tunnels
2D multi-area coverage path planning using L-SHADE in simulated ocean survey
Design of moth flame optimization heuristics for integrated power plant system containing stochastic wind
IM-NKA: A Natural Killer cell Algorithm for earthquake prediction based on extremely imbalanced precursor data
An integrated approach for head gesture based interface
Clustering by propagating probabilities between data points
Dual-branch residual network for lung nodule segmentation
A spatio-temporal decomposition based deep neural network for time series forecasting
The impact of soft computing for the progress of artificial intelligence