yusuke1997/dblp-id-title huggingface dataset:
Video frame prediction with dual-stream deep network emphasizing motions and content details
Forecasting stock indices with wavelet domain kernel partial least square regressions
JADE implemented mobile multi-agent based, distributed information platform for pervasive health care monitoring
Tuning compilations by multi-objective optimization: Application to Apache web server
A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction
Trisection-fusion and fusion-trisection methods of three-way conflict analysis with Pythagorean fuzzy information
Fuzzy identification of a greenhouse
Unsupervised feature selection using chronological fitting with Shapley Additive explanation (SHAP) for industrial time-series anomaly detection
Social learning discrete Particle Swarm Optimization based two-stage X-routing for IC design under Intelligent Edge Computing architecture
Distributed energy resource placement considering hosting capacity by combining teaching-learning-based and honey-bee-mating optimisation algorithms
A new prediction strategy for price spike forecasting of day-ahead electricity markets
TAP with ease: a generic recommendation system for trigger-action programming based on multi-modal representation learning
Subcellular localization using fluorescence imagery: Utilizing ensemble classification with diverse feature extraction strategies and data balancing
Modeling glycemia in humans by means of Grammatical Evolution
A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value
Exact analytical inverse mapping of decomposable TS fuzzy systems with singleton and linear consequents
Metaheuristic-based possibilistic multivariate fuzzy weighted c -means algorithms for market segmentation
An effective method based on simulated annealing for automatic generation control of power systems
Memetic algorithms for mapping p-body interacting systems in effective quantum 2-body Hamiltonians
Compensation-based state and fault estimation for IT2 polynomial fuzzy systems under both actuator and sensor faults
Fuzzy cognitive map architectures for medical decision support systems
Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining
Human-AI interaction: Machine learning-based geostatistical hybrid models
Rank-based memetic algorithm for capacitated arc routing problems
A multistage decision-making method for multi-source information with Shapley optimization based on normal cloud models
Multi-start simulated annealing heuristic for the location routing problem with simultaneous pickup and delivery
Homotopy-based hyper-heuristic searching approach for reciprocal feedback inversion of groundwater contamination source and aquifer parameters
Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data
QN-Docking: An innovative molecular docking methodology based on Q-Networks
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust
Compression and reinforce variation with convolutional neural networks for hyperspectral image classification
Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression
An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic
The development of a sub-population genetic algorithm II (SPGA II) for multi-objective combinatorial problems
Evolutionary design of the memory subsystem
A beginner's guide to tuning methods
K-Harmonic means type clustering algorithm for mixed datasets
Rule generation in Rough set Non-deterministic Information Analysis (RNIA) and some applications of the obtained rules
Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the World
Fuzzy rule generation for adaptive scheduling in a dynamic manufacturing environment
Parametric fuzzy study for effects analysis of age on PWR containment cooling system
A 2-additive Choquet integral-based multi-criterion decision-making method with complex linguistic information in drug value assessment
Minimum spanning tree niching-based differential evolution with knowledge-driven update strategy for multimodal optimization problems
Correlation analysis of sampled wafer profile maps based on a deep reconstruction model
A multi-start simulated annealing strategy for Data Lake Organization Problem
Boosting the oversampling methods based on differential evolution strategies for imbalanced learning
Obtaining the threat model for e-mail phishing
Comparison of four direct classification methods for intelligent fault diagnosis of rotating machinery
Subspace estimation of distribution algorithms: To perturb part of all variables in estimation of distribution algorithms
A multi-objective evolutionary approach for mining frequent and high utility itemsets
Prediction using multi-objective slime mould algorithm optimized support vector regression model
An altitude-aware fuzzy approach for energy efficiency in UAV-assisted 3D Wireless Sensor Networks
Scalability of knowledge distillation in incremental deep learning for fast object detection
Stealthy dynamic backdoor attack against neural networks for image classification
Distributed fuzzy case based reasoning
A predictive intelligence system of credit scoring based on deep multiple kernel learning
Multi-objective optimization for energy-efficient flow shop scheduling problem with blocking and collision-free transportation constraints
A new hybrid CG-GAs approach for high sensitive optimization problems: With application for parameters estimation of FG nanobeams
A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment
Point and interval forecasting approach for short-term urban subway passenger flow based on residual term decomposition and fuzzy information granulation
Power fluctuation mitigation strategy for microgrids based on an LSTM-based power forecasting method
Evaluation of co-evolutionary neural network architectures for time series prediction with mobile application in finance
Optimal uncertainty-guided neural network training
MLP-based Learnable Window Size for Bitcoin price prediction
Self-boosting first-order autonomous learning neuro-fuzzy systems
Hybrid prediction strategy to predict agricultural information
A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter
The experimental applications of search-based techniques for model-based testing: Taxonomy and systematic literature review
Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods
Quantum neural network based machine translator for English to Hindi
Deep learning and tree-based models for earth skin temperature forecasting in Malaysian environments
Meta-auxiliary learning for micro-expression recognition
A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
Two fault detection and isolation schemes for robot manipulators using soft computing techniques
Improving the performance of free-text keystroke dynamics authentication by fusion
From ensemble learning to deep ensemble learning: A case study on multi-indicator prediction of pavement performance
Evolutionary optimization for disaster relief operations: A survey
Modeling a mixed-integer-binary small-population evolutionary particle swarm algorithm for solving the optimal power flow problem in electric power systems
A multi-objective sustainable multipath delivery problem in hilly regions with customer-satisfaction using TLBO
Game theory-based electricity pricing and microgrids management using online deep reinforcement learning
A two-stage symbolic regression method for discovering mathematical formulas
A hyperparameter-space clustering methodology of residential electricity loads
Reconstruction of gene regulatory networks using graph neural networks
Multisignal 1-D compression by F-transform for wireless sensor networks applications
Object tracking via collaborative multi-task learning and appearance model updating
Two-stage identification of false data injection attacks in power systems via semi-supervised deep learning
Minimal complexity attack classification intrusion detection system
High-performance differential evolution algorithm guided by information from individuals with potential
RL-HCP: A reinforcement learning-based heuristic controller placement algorithm for dynamic SDN environments
A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction
Probability Collectives: A multi-agent approach for solving combinatorial optimization problems
Cognitive visual anomaly detection with constrained latent representations for industrial inspection robot
An algorithmic framework of discrete particle swarm optimization
Commentary on "A block chaotic image encryption scheme based on self-adaptive modelling" [Applied Soft Computing 22 (2014) 351-357]
Bonferroni induced heavy operators in ERM decision-making: A case on large companies in Colombia
Individualism of particles in particle swarm optimization
Ensemble of Elman neural networks and support vector machines for reverse engineering of gene regulatory networks
A cloud based architecture capable of perceiving and predicting multiple vessel behaviour
A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques
On the influence of the number of algorithms, problems, and independent runs in the comparison of evolutionary algorithms
Retweeting behavior prediction based on dynamic Bayesian network classifier in microblogging networks
Cross Branch Co-Attention Network multimodal models based on Raman and FTIR spectroscopy for diagnosis of multiple selected cancers
Medical supervised masked autoencoder: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification
Microgrid energy management using metaheuristic optimization algorithms
ANFIS deriving from jointed input-output data space and applying in smart-damper identification
Implementation of the RBF neural chip with the back-propagation algorithm for on-line learning
Methodology for online detection and classification of power quality disturbances based on FPGA
Enhanced Elman spike neural network based sentiment analysis of online product recommendation
A two-stage consensus model incorporating manipulative and manipulated behaviors for large group decision-making under social network environment
Adaptive cuckoo algorithm with multiple search strategies
Time-series prediction with single integrate-and-fire neuron
Visual Secret Sharing of Gray and Color Images using Fuzzy Random Grids
Implementation of Caputo type fractional derivative chain rule on back propagation algorithm
Colonoscopy contrast-enhanced by intuitionistic fuzzy soft sets for polyp cancer localization
Optimizing stock investment strategies with Double Deep Q-Networks: Exploring the impact of oil and gold price signals
ELICIT information-based robust large-scale minimum cost consensus model under social networks
Sparse-view planar 3D reconstruction method based on hierarchical token pooling Transformer
Learning neural impulsive MPC for tailoring therapies in viral infections
A lightweight genetic algorithm with variable neighborhood search for multi-depot vehicle routing problem with time windows
A fuzzy-based spatio-temporal multi-modeling for nonlinear distributed parameter processes
An efficient genetic algorithm for solving nonlinear optimization problems defined with fuzzy relational equations and max-Lukasiewicz composition
Fuzzy fractal dimension of complex networks
A multispectral pansharpening method based on CNN-DI network with mixture of experts
Life-long learning based on dynamic combination model
A self-adaptive discrete artificial bee colony algorithm based on block swap for steelmaking and continuous casting scheduling problem
A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks
Partitioned Bonferroni mean based on linguistic 2-tuple for dealing with multi-attribute group decision making
Research on product recommendation based on matrix factorization models fusing user reviews
A three-stage framework for vertical carbon price interval forecast based on decomposition-integration method
Masked Heterogeneous Graph Attention Network for robust recommendation
Dandelion center detection in perennial ryegrass with Heat maps using Convolutional Neural Networks
A reference learning network for fault diagnosis of rotating machinery under strong noise
WBC-Net: A white blood cell segmentation network based on UNet++ and ResNet
Application of a new hybrid neuro-evolutionary system for day-ahead price forecasting of electricity markets
Individual-based multi-objective optimal structured treatment interruption for HIV infection
Another view on reduction of parameters in soft sets
Scheduling short-term hydrothermal generation using predator prey optimization technique
Cost optimization and machine learning-based prediction of waiting time for fault-tolerance machining system with general vacation and F-policy
Instance-based transfer learning method via modified domain-adversarial neural network with influence function: Applications to design metamodeling and fault diagnosis
Fuzzy clustering algorithms with distance metric learning and entropy regularization
Multi-objective binary grey wolf optimization for feature selection based on guided mutation strategy
BGSemi-flow: Adaptive Bayesian GMM-based semi-supervised learning framework for airfoil flow field prediction
Replication and comparison of computational experiments in applied evolutionary computing: Common pitfalls and guidelines to avoid them
A genetic algorithm high-level optimizer for complex datapath and data-flow digital systems
Remaining useful life prediction of rolling bearing under limited data based on adaptive time-series feature window and multi-step ahead strategy
Adaptive parameter control of evolutionary algorithms to improve quality-time trade-off
Handling forecasting problems based on fuzzy time series model and model error learning
Stability and robustness of fuzzy adaptive control of nonlinear systems
Modified fuzzy c-means and Bayesian equalizer for nonlinear blind channel
Suppressed possibilistic c-means clustering algorithm
Chaos-based joint compression and encryption algorithm for generating variable length ciphertext
An artificial bee colony algorithm with variable neighborhood search and tabu list for long-term carpooling problem with time window
Constrained design optimization of selected mechanical system components using Rao algorithms
An evolutionary algorithm with directed weights for constrained multi-objective optimization
Adding more intelligence to the network routing problem: AntNet and Ga-agents
Shapelet selection for time series classification
An ultra-high-definition multi-exposure image fusion method based on multi-scale feature extraction
Multistart solution-based tabu search for the Set-Union Knapsack Problem
Data-driven prognostics of rolling element bearings using a novel Error Based Evolving Takagi-Sugeno Fuzzy Model
Security constrained multi-period optimal power flow by a new enhanced artificial bee colony
Edge types vs privacy in K-anonymization of shortest paths
A memory-trait-driven decomposition-reconstruction-ensemble​ learning paradigm for oil price forecasting
Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections
Framework of agent-based intelligence system with two-stage decision-making process for distributed dynamic scheduling
Wavenet fuzzy PID controller for nonlinear MIMO systems: Experimental validation on a high-end haptic robotic interface
PSO tuned FLC for full autopilot control of quadrotor to tackle wind disturbance using bond graph approach
Optimized connections and feature interactions for more efficient single-image desnowing
A new ensemble learning methodology based on hybridization of classifier ensemble selection approaches
A matheuristic for flowshop scheduling with batch processing machines in textile manufacturing
Optimization of user experience in mobile application design by using a fuzzy analytic-network-process-based Taguchi method
Variation-learning high-resolution network for capsulorhexis recognition of cataract surgery
A probability-based coevolving multi-objective algorithm for antenna array synthesis
Leveraging temporal dependency in probabilistic electric load forecasting
A new image denoising scheme using support vector machine classification in shiftable complex directional pyramid domain
Electrical evoked potentials prediction model in visual prostheses based on support vector regression with multiple weights
Multi-stage feature fusion network for polyp segmentation
Unsupervised textile defect detection using convolutional neural networks
Multiobjective multi-verse optimization algorithm to solve combined economic, heat and power emission dispatch problems
Optimal process design of two-stage multiple responses grinding processes using desirability functions and metaheuristic technique
Industrial large models as carriers for malicious payloads: A fast and robust approach
Comparative Assessment of the Hybrid Genetic Algorithm-Artificial Neural Network and Genetic Programming Methods for the Prediction of Longitudinal Velocity Field around a Single Straight Groyne
Disentangled Multi-view Graph Neural Network for multilingual knowledge graph completion
Self-supervised clustering algorithm based on hierarchy of local density clusters and constraint propagation
Evacuation route recommendation using auto-encoder and Markov decision process
A robust ensemble classifier for imbalanced data via adaptive variety oversampling and embedded sampling rate
JaunENet: An effective non-invasive detection of multi-class jaundice deep learning method with limited labeled data
Clustering-based genetic offspring generation for solving multi-objective optimization problems with intricate Pareto sets
An Explainable Machine Learning (XAI) framework for classification of intricate dancing posture among Indian Bharatanatyam dancers
Co-evolutionary multi-population genetic programming for classification in software defect prediction: An empirical case study
UTF: Upgrade transfer function for binary meta-heuristic algorithms
Sigmoidal learning rate optimizer for deep neural network training using a two-phase adaptation approach
A mirror reflection and aspect ratio invariant approach to object recognition using Fourier descriptor
Uncertain optimization model for multi-echelon spare parts supply system
Application of dimensional analysis and multi-gene genetic programming to predict the performance of tunnel boring machines
Fuzzy data mining for time-series data
Hybrid system for handling premature convergence in GA - Case of grammar induction
A discussion on "Calculating fuzzy inverse matrix using fuzzy linear equation system"
Performance evaluation of a two stage adaptive genetic algorithm (TSAGA) in structural topology optimization
Fuzzy logic controllers design for omnidirectional mobile robot navigation
Self-Organizing Map based Extended Fuzzy C-Means (SEEFC) algorithm for image segmentation
A grid-based MOEA guided by synchronous self-adaptive local diversity-preserving for constrained optimization of an extended-range small self-defense missile
Knowledge-augmented large language model-based framework for adverse drug reaction analysis
Hyperspectral image change detection based on active convolutional neural network and spatial-spectral affinity graph learning
DeepEvap: Deep reinforcement learning based ensemble approach for estimating reference evapotranspiration
Evolving chimp optimization algorithm by weighted opposition-based technique and greedy search for multimodal engineering problems
Semi-supervised classification by discriminative regularization
Machine learning for frequency estimation of power systems
Orthogonal PSO algorithm for economic dispatch of thermal generating units under various power constraints in smart power grid
Clustering retail products based on customer behaviour
A framework based on (probabilistic) soft logic and neural network for NLP
Solving the problem of incomplete data in medical diagnosis via interval modeling
A two-stage evolutionary algorithm assisted by multi-archives for constrained multi-objective optimization
Mixed supervised cross-subject seizure detection with transformer and reference learning
Modeling consistency and consensus in social network group decision making: The role of limited dual tolerance and compromise behaviors
3D pipe reconstruction employing video information from mobile robots
A new multi-function global particle swarm optimization
A coupled zeroing neural network for removing mixed noises in solving time-varying problems
Integrating semi-supervised learning with density tree structures for scalable clustering
A double-convolution-double-attention Transformer network for aircraft cargo hold fire detection
A computational proposal for a robust estimation of the Pareto tail index: An application to emerging markets
AttenHideNet: A novel deep learning-based image steganography method using a lightweight U-net with soft attention
A service selection model for digital music service platforms using a hybrid MCDM approach
A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability
Discrete Grey Wolf Optimizer for symmetric travelling salesman problem
BERT-Driven stock price trend prediction utilizing tokenized stock data and multi-step optimization approach
AdvGrid: A multi-view black-box attack on infrared pedestrian detectors in the physical world
A two-stage R2 indicator based evolutionary algorithm for many-objective optimization
Multi-objective and multi-level image thresholding based on dominance and diversity criteria
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Improving the modeling capacity of Volterra model using evolutionary computing methods based on Kalman smoother adaptive filter
Multi-task nonparallel support vector machine for classification
Optimal multivariable conditions in the operation of an absorption heat transformer with energy recycling solved by the genetic algorithm in artificial neural network inverse
A framework for inverse surrogate modeling for fitness estimation applied to Multi-Objective Evolutionary Algorithms
A new fuzzy methodology-based structured framework for RAM and risk analysis
An adaptive bi-level task planning strategy for multi-USVs target visitation
Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regression
How to make a best-seller: Optimal product design problems
Incomplete multi-view learning: Review, analysis, and prospects
A hybrid hierarchical fault diagnosis method under the condition of incomplete decision information system
Three-way decision with granular rough sets
A credibility integration evaluation approach of complex simulation systems based on type-2 fuzzy set and perceptual computing
A novel hybrid model for short-term wind power forecasting
Hedging an option portfolio with minimum transaction lots: A fuzzy goal programming problem
A hybrid ANP evaluation model for electronic service quality
Infrared-based real-time leakage detection in earth-rock dams using an enhanced YOLO algorithm integrated with a biomimetic quadruped robot
Metacarpophalangeal joint patterns based personal identification system
Random fuzzy mean-absolute deviation models for portfolio optimization problem with hybrid uncertainty
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)
FViT: A focal vision transformer with gabor filter