yusuke1997/dblp-id-title huggingface dataset:
iDetect: Content Based Monitoring of Complex Networks using Mobile Agents
Corrigendum to "Three-and-six-month-before forecast of water resources in a karst aquifer in the Terminio massif (Southern Italy)" [Appl. Soft Comput. 31 (2013) 4077-4086]
Fuzzy decision making in complex frameworks with generalized aggregation operators
SwinYOLOv7: Robust ship detection in complex synthetic aperture radar images
Two-phase underwater image enhancement network using multiscale attentive unsharp masking
Deep hashing image retrieval based on CNN and visual transformer network
A three-way confirmatory approach to formal concept analysis in classification
Multi-scale deep adversarial network for particle detection in liquid crystal module
Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans
Your trip, your way: An adaptive tourism recommendation system
Data-driven prediction of possible quality deterioration in injection molding processes
Modeling of limit order book data with ordered fuzzy numbers
EEG-based emotion detection using Long Short-Term Memory Network and reinforcement learning for enhanced feature selection
Flexible genetic algorithm: A simple and generic approach to node placement problems
Enhanced grouping league championship and optics inspired optimization algorithms for scheduling a batch processing machine with job conflicts and non-identical job sizes
Learning view-specific labels and label-feature dependence maximization for multi-view multi-label classification
Timestamp attention mechanism and distribution augmentation for long-term electricity consumption forecasting
Simultaneous feature and instance selection in big noisy data using memetic variable neighborhood search
Predicting uncertain behavior of industrial system using FM - A practical case
A new Bollinger Band based energy efficient routing for clustered wireless sensor network
A multi-objective evolutionary algorithm based on Pareto prediction for automatic test task scheduling problems
Voice pathology detection by using the deep network architecture
Customer satisfaction in dynamic vehicle routing problem with time windows
Community detection by spectral methods in multi-layer networks
A variable neighborhood search heuristic algorithm for production routing problems
Identifying word evolution by incorporating PoS and avoiding alignment of temporal words
Crisscross differential evolution algorithm for constrained hydrothermal scheduling
A guided twin delayed deep deterministic reinforcement learning for vaccine allocation in human contact networks
A similarity hybrid harmony search algorithm for the Team Orienteering Problem
From overfitting to robustness: Quantity, quality, and variety oriented negative sample selection in graph contrastive learning
Constrained differential evolution optimization for underwater glider path planning in sub-mesoscale eddy sampling
Analysis and improvement of GSA's optimization process
Multi objective taguchi-grey relational analysis and krill herd algorithm approaches to investigate the parametric optimization in abrasive water jet drilling of stainless steel
An efficient two-factor authentication scheme based on negative databases: Experiments and extensions
Efficient perturbation-aware distinguishing score for zero-shot neural architecture search
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming
Density-based clustering using approximate natural neighbours
Counting eosinophils in bronchoalveolar lavage fluid images with fuzzy methodology
Three-way group consensus based on fuzzy social networks under probabilistic linguistic preference relations
Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis
Optimal operation of multipurpose reservoirs using flexible stochastic dynamic programming
Speeding-up the design of HW/SW implementations of neuro-fuzzy systems using the CodeSimulink environment
Unsupervised prototype self-calibration based on hybrid attention contrastive learning for enhanced few-shot action recognition
LC-Net : L ocalized C ounting Net work for Extremely Dense Crowds
Adaptive fuzzy PID search algorithm for global optimization with application to 3D UAV path planning
eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest
Performance evaluation of distance relay with CT saturation
Multi-heterogeneous sensor data fusion method via convolutional neural network for fault diagnosis of wheeled mobile robot
A weighted integration method based on graph representation learning for drug repositioning
Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models
Data augmentation techniques in natural language processing
A novel cluster center fast determination clustering algorithm
Analysis of the multi-objective cluster head selection problem in WSNs
Spatial Plateau Algebra for implementing fuzzy spatial objects in databases and GIS: Spatial plateau data types and operations
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks
A MOEA/D with global and local cooperative optimization for complicated bi-objective optimization problems
Multi-view classification of psychiatric conditions based on saccades
Dynamic multi-objective evolutionary algorithm with objective space prediction strategy
Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy ANFIS approach
Flexible supply chain optimization with controllable lead time and shipping option
A parallel implementation of seeker optimization algorithm for designing circular and concentric circular antenna arrays
Detecting adversarial examples by positive and negative representations
Hierarchical feature transformation attack: Generate transferable adversarial examples for face recognition
PortfolioZero: A stock portfolio model based on deep reinforcement learning
Rotating machinery faults detection method based on deep echo state network
Fractional programming methodology for multi-attribute group decision-making using IFS
Acquisition of representative data sets by filtering out redundant objects and attributes with fuzzy preference-based rough sets and dominance principles
Exploring the mutual influence among the social innovation factors amid the COVID-19 pandemic
Optimization of single variable functions using complete hardware evolution
Evaluating generative artificial intelligence products using fuzzy social network multi-attribute decision-making model: User perspective
A two-stage genetic algorithm-based robust scheduling approach for multi-factory production with uncertain shipping lead-time: Optimizing on-time delivery and cost
Deep learning for financial applications : A survey
Interpretable train-level entry flow prediction using GMM-based features and ensemble learning
Volterra system identification using adaptive genetic algorithms
Grey particle swarm optimization
A semantic relation-aware deep neural network model for end-to-end conversational recommendation
A knowledge-based constructive estimation of distribution algorithm for bi-objective portfolio optimization with cardinality constraints
Parameter optimization of software reliability growth model with S-shaped testing-effort function using improved swarm intelligent optimization
Self-tuning multi-layer optimization algorithm (STML): An innovative parameter-less approach
Application of metaheuristics algorithm on a multi-objective container loading problem considering container's utilization and vehicle's balance
Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming
Deep reinforcement learning for optimal rescue path planning in uncertain and complex urban pluvial flood scenarios
Explainable AI-enhanced machine learning for CBR prediction in stabilized and unstabilized subgrade soils
Special issue on Bio-inspired optimization techniques for Biomedical Data Analysis: Methods and applications
Improved metaheuristics for the two-dimensional strip packing problem
Resource provisioning in scalable cloud using bio-inspired artificial neural network model
A three-way decision based multi-attribute decision-making with intuitionistic fuzzy β-covering
A health assessment framework of lithium-ion batteries for cyber defense
A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis
Kidney image segmentation from CT for disease diagnosis based on deep extreme cut and NASNet-Bi-LSTM model using generative AI for improved resolution
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images
Multi-objective particle swarm optimization with guided exploration for multimodal problems
Parallel genetic algorithm in bus route headway optimization
Topic relevance and diversity in information retrieval from large datasets: A multi-objective evolutionary algorithm approach
Fine-grained recognition of grape leaf diseases based on transfer learning and convolutional block attention module
A continuous concrete vibration method for robots based on machine vision with integrated spatial features
Building fuzzy relationships between compressive strength and 3D microstructural image features for cement hydration using Gaussian mixture model-based polynomial radial basis function neural networks
A gradient-supported analysis of Pareto front in multi-objective extremal optimization-based processor load balancing
The single machine scheduling problem with sequence-dependent setup times and a learning effect on processing times
ARMA(p, q) type high order fuzzy time series forecast method based on fuzzy logic relations
Improving the performance of embedded systems with variable neighborhood search
An echo state network model with the protein structure for time series prediction
Multi-objective optimization of electrical discharge machining parameters using particle swarm optimization
Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend
Time series anomaly detection via temporal relationship graphs and adaptive smoothing
Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images
Semi-sparse Residual Recurrent Neural Network via dictionary representation for throat microphone quality enhancement
OSFSMI: Online stream feature selection method based on mutual information
Taxonomy of metrics for effectively estimating quantum software projects: A fuzzy-AHP based analysis
A dynamic multi-colony artificial bee colony algorithm for multi-objective optimization
MGIPS-CL: Multimodal NER with multi-granularity interweave and implicit positive sample contrastive learning
Efficient Self-learning Evolutionary Neural Architecture Search
Optimization time-cost-quality-work continuity in construction management using mutation-crossover slime mold algorithm
Multi-source strategy adaptation network for time-triggered flow scheduling in unknown environments
A switching based forecasting approach for forecasting sales data in supply chains
An evolutionary approach to constrained sampling optimization problems
A comparative analysis of bio-inspired optimization algorithms for automated test pattern generation in sequential circuits
Rating prediction for recommendation: Constructing user profiles and item characteristics using backpropagation
Automatic abstraction controller in reinforcement learning agent via automata
AttentivECGRU: GRU based autoencoder with attention mechanism and automated fuzzy thresholding for ECG arrhythmia detection
Predictive control of multizone heating, ventilation and air-conditioning systems in non-residential buildings
Dynamic memory intelligent algorithm used for prediction of thermal error reliability of ball screw system
Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport
Dynamic Harris hawks optimizer based on historical information and tournament strategy and its application in numerical optimization of blast furnace ingredients
Air quality particulate-pollution prediction applying GAN network and the Neural Turing Machine
Prediction of strip section shape for hot-rolled based on mechanism fusion data model
Temporal convolutional autoencoder for unsupervised anomaly detection in time series
Improving monsoon forecasting based on feature selection and explainable artificial intelligence
Resource allocation based on hybrid genetic algorithm and particle swarm optimization for D2D multicast communications
Ranking and comparing evolutionary algorithms with Hellinger-TOPSIS
Back-propagation with diversive curiosity: An automatic conversion from search stagnation to exploration
Supplier selection using a novel intuitionist fuzzy clustering approach
Biomimicry of parasitic behavior in a coevolutionary particle swarm optimization algorithm for global optimization
Enhancing adversarial transferability by resolving gradient conflicts in multi-input transformations
Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach
Real-time traffic flow optimization using large language models and reinforcement learning for smart urban mobility
Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network
Hybrid meta-heuristic optimization algorithms for time-domain-constrained data clustering
Hybrid Taguchi-cuckoo search algorithm for optimization of a compliant focus positioning platform
Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method
Extending machine learning prediction capabilities by explainable AI in financial time series prediction
Multitask Augmented Random Search in deep reinforcement learning
Model selection for RBF-ARX models
Control of constrained high dimensional nonlinear liquid level processes using a novel neural network based Rapidly exploring Random Tree algorithm
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
MicroCBR: A case-based reasoning architecture for the classification of microarray data
Multilayer neuroadaptive force control of electro-hydraulic load simulators with uncertainty rejection
Object detection in multi-modal images using genetic programming
Memetic search for composing medical crews with equity and efficiency
NADG-GAM: Neighbor aggregation-based neurological disease-gene identification via optimal generative adjacency matrix
An integrated multi-criteria decision making approach with linguistic hesitant fuzzy sets for E-learning website evaluation and selection
Airport flight ground service time prediction with missing data using graph convolutional neural network imputation and bidirectional sliding mechanism
Online early terminated streaming feature selection based on Rough Set theory
Subpopulation preference adjective non-dominated sorting genetic algorithm for multi-objective capacity expansion for matured fabs
Evolutionary constrained self-localization for autonomous agents
A multi-strategy surrogate-assisted social learning particle swarm optimization for expensive optimization and applications
A new approach to DEMATEL based on interval-valued hesitant fuzzy sets
A Lamarckian Hybrid Grouping Genetic Algorithm with repair heuristics for resource assignment in WCDMA networks
Prediction interval soft sensor for dissolved oxygen content estimation in an electric arc furnace
Image manipulation detection and localization using multi-scale contrastive learning
Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?
A multi-granularity hierarchical network for long- and short-term forecasting on multivariate time series data
Hypoglycaemia detection using fuzzy inference system with intelligent optimiser
A novel methodology for stock investment using high utility episode mining and genetic algorithm
An efficient method to represent and process imprecise knowledge
Portfolio management using online reinforcement learning with adaptive exploration and Multi-task self-supervised representation
Detecting fake news with capsule neural networks
Variational eligibility trace meta-reinforcement recurrent network for residual life prediction of space rolling bearings
A study of multi-objective restricted multi-item fixed charge transportation problem considering different types of demands
Decision field theory-combined multi-attribute group decision-making method for incomplete linear ordinal ranking
Fusion of feature selection, feature extraction, and deep learning for displacement prediction of arch dams with cracks
A sparse regression and neural network approach for financial factor modeling
Socio-technical smart grid optimization via decentralized charge control of electric vehicles
Dynamic q-rung orthopair hesitant fuzzy decision-making model based on Banzhaf value of fuzzy measure
Novel multi-site graph convolutional network with supervision mechanism for COVID-19 diagnosis from X-ray radiographs
On the value of uncertainty quantification in deep learning based breast cancer molecular subtype classification
An energy aware fuzzy approach to unequal clustering in wireless sensor networks
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition
Grey prediction evolution algorithm with a dominator guidance strategy for solving multi-level image thresholding
Differential Evolution as a viable tool for satellite image registration
Cooperative coevolutionary algorithm with resource allocation strategies to minimize unnecessary computations
Interactive portfolio optimization model based on rough fundamental analysis and rational fuzzy constraints
HDMFNet: Learning complementary spatiotemporal representations via heterogeneous dual-branch multimodal fusion network for human action recognition
A three-way decision method based on Gaussian kernel in a hybrid information system with images: An application in medical diagnosis
Multi-task supervised contrastive learning for chest X-ray diagnosis: A two-stage hierarchical classification framework for COVID-19 diagnosis
Fast Constructive-Covering Algorithm for neural networks and its implement in classification
Three-way decision reduction in neighborhood systems
A hybridization of an evolutionary algorithm and a parallel branch and bound for solving the capacitated single allocation hub location problem
The value of expert judgments in decision support systems
Evolutionary design of hash function pairs for network filters
A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO
The allocation of customers to potential distribution centers in supply chain networks: GA and AIA approaches
Better manufacturing process organization using multi-agent self-organization and co-evolutionary classifier systems: The multibar problem
Interval-valued Pythagorean fuzzy operational competitiveness rating model for assessing the metaverse integration options of sharing economy in transportation sector
Adaptive scheduling on unrelated machines with genetic programming
A long- and short-term feature fusion network for wind speed forecasting
A social spider algorithm for global optimization
An integrated method for supplier selection from the perspective of risk aversion
Interpretable self-organizing map assisted interactive multi-criteria decision-making following Pareto-Race
AGFS: Adaptive Genetic Fuzzy System for medical data classification
Multiscale intelligent fault detection system based on agglomerative hierarchical clustering using stacked denoising autoencoder with temporal information
Application and comparison of hybrid evolutionary multiobjective optimization algorithms for solving task scheduling problem on heterogeneous systems
Design and analysis of cyber warfare model with intelligent predictive stochastic networks for attack-defend strategies on critical infrastructures
A new approach to mining method selection based on modifying the Nicholas technique
Soft computing methods for the prediction of protein tertiary structures: A survey
Power geometric operators of trapezoidal intuitionistic fuzzy numbers and application to multi-attribute group decision making
Lightweight unmanned aerial vehicles anomaly detection model based on synaptic evolution mechanism and layer-adaptive neural network
An application of real coded Self-organizing Migrating Genetic Algorithm on a two-warehouse inventory problem with Type-2 interval valued inventory costs via mean bounds optimization technique
Uncertain Shapley value of coalitional game with application to supply chain alliance
Gradual machine learning for medical image classification via evolutionary feature fusion
Energy efficient resource allocation algorithms combining PSO with FLC and Taguchi method in hybrid opportunistic networks
Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems
Exploiting fuzzy rough mutual information for feature selection
Enhanced self-assessment of acne scars through automated cross-domain classification with transfer learning
Measuring the success possibility of implementing ERP by utilizing the Incomplete Linguistic Preference Relations
Simple estimate of the width in Gaussian kernel with adaptive scaling technique
A traffic-based evolutionary algorithm for network clustering
On the application of efficient hybrid heuristic algorithms - An insurance industry example
Hybrid artificial intelligence-time series models for monthly streamflow modeling
Online state-of-health estimation of lithium-ion battery based on relevance vector machine with dynamic integration
Towards a parameterless out-of-the-box population size control for evolutionary and swarm-based algorithms for single objective bound constrained real-parameter numerical optimization
Attention distillation for low-cost driver behavior recognition
Generative adversarial network based on Poincaré distance similarity constraint: Focusing on overfitting problem caused by finite training data
Automatic time series forecasting model design based on pruning
A simple self-adaptive Differential Evolution algorithm with application on the ALSTOM gasifier
Heuristic wavelet shrinkage for denoising
Probability-directed random search algorithm for unconstrained optimization problem
Risk measurement of aggregation approaches in multiple attribute decision making under uncertain information
Cooperative task allocation for multi heterogeneous aerial vehicles using particle swarm optimization algorithm and entropy weight method
Uncertainty-guided cross teaching semi-supervised framework for histopathology image segmentation with curriculum self-training
Meta-ensemble learning with adaptive sampling for imbalanced medical Raman spectroscopy data
Clustering based multiple model control of hybrid dynamical systems using HJB solution
Multi-strategy ensemble firefly algorithm with equilibrium of convergence and diversity
Optimizing workload distribution in Fog-Cloud ecosystem: A JAYA based meta-heuristic for energy-efficient applications
Solving non-linear fixed-charge transportation problems using nature inspired non-linear particle swarm optimization algorithm
A modified artificial bee colony algorithm based on a non-dominated sorting genetic approach for combined economic-emission load dispatch problem
Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data
Optimization and estimation of reliability indices and cost of Power Distribution System of an urban area by a noble fuzzy-hybrid algorithm
Improving recognition and generalization capability of back-propagation NN using a self-organized network inspired by immune algorithm (SONIA)
Cell image segmentation using bacterial foraging optimization