yusuke1997/dblp-id-title huggingface dataset:
A multi-objective optimization algorithm for gene selection and classification in cancer study
R-GWO: Representative-based grey wolf optimizer for solving engineering problems
Solving bus terminal location problems using evolutionary algorithms
Enhanced domain transfer deep fuzzy echo state network for rotating machinery fault diagnosis based on current signal
Modeling 5G shared base station planning problem using an evolutionary bi-level optimization algorithm
Vector quantization codebook design based on Fish School Search algorithm
Mindful Human Digital Twins: Integrating Theory of Mind with multi-agent reinforcement learning
Ant Colony Optimization based Light weight Binary Search for efficient signature matching to filter Ransomware
Self-correcting ensemble using a latent consensus model
Multi-objective biofilm algorithm (MOBifi) for de novo drug design with special focus to anti-diabetic drugs
Discrete-time fractional-order control based on data-driven equivalent model
A systematic review of machine learning methods in software testing
Fish Module - A prognostic tool for modeling the optimal environmental conditions for fish
Wavelet-denoised graph-Informer for accurate and stable wind speed prediction
Measuring and reaching consensus in group decision making with the linguistic computing model based on discrete fuzzy numbers
Vulnerability analysis of immunity-based intrusion detection systems using genetic and evolutionary hackers
A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment
Occult lymph node metastasis prediction in non-small cell lung cancer based self-supervised pretrained and hyperbolic theory
A surrogate-assisted radial space division evolutionary algorithm for expensive many-objective optimization problems
Integration of SERVQUAL, Analytical Kano, and QFD using fuzzy approaches to support improvement decisions in an entrepreneurial education service
CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks
Optimal generation scheduling of pumped storage hydro-thermal system with wind energy sources
Enhanced fuzzy-filtered neural networks for material fatigue prognosis
Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients
Distributed and asynchronous solver for large CPU intensive problems
Robust echo state network with Cauchy loss function and hybrid regularization for noisy time series prediction
A modified convolutional neural network with rectangular filters for frequency-hopping spread spectrum signals
A bio-inspired emergent control approach for distributed processes
A segmentation method using Otsu and fuzzy k-Means for stereovision matching in hemispherical images from forest environments
Joint entity and relation extraction with position-aware attention and relation embedding
Evolutionary computation-based machine learning for Smart City high-dimensional Big Data Analytics
An imbalanced learning method by combining SMOTE with Center Offset Factor
Forest road profile optimization using meta-heuristic techniques
Greedy breadth-first-search based chain classification for nondestructive sizing of subsurface defects
Fast 3D-graph convolutional networks for skeleton-based action recognition
Camera view planning based on generative adversarial imitation learning in indoor active exploration
Hierarchical Scale Awareness for object detection in Unmanned Aerial Vehicle Scenes
Uncertainty management in software effort estimation using a consistent fuzzy analogy-based method
Neural network-based transductive regression model
Sketch-to-tile translation using cGAN and U-Net with transformer bottleneck
Self-adaptive mutation differential evolution algorithm based on particle swarm optimization
Fuzzy cognitive networks with functional weights for time series and pattern recognition applications
Exploring syntactic and semantic features for authorship attribution
Distributed constraint satisfaction, restricted recombination, and genetic protocols
An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting
A Novel fuzzy frame selection based watermarking scheme for MPEG-4 videos using Bi-directional extreme learning machine
Finding pre-images via evolution strategies
Cognitive behavior optimization algorithm for solving optimization problems
Improved solution to the non-domination level update problem
Optimal coordination strategy of dynamic supply chain based on cooperative stochastic differential game model under uncertain conditions
Variable neighborhood genetic algorithm for multi-order multi-bin open packing optimization
Classification of audio signals using AANN and GMM
Algorithms for the multi-objective vehicle routing problem with hard time windows and stochastic travel time and service time
A3CMal: Generating adversarial samples to force targeted misclassification by reinforcement learning
Efficiency enhancement of a process-based rainfall-runoff model using a new modified AdaBoost.RT technique
A telemedicine tool to detect pulmonary pathology using computerized pulmonary acoustic signal analysis
Robust distributed spatial clustering for swarm robotic based systems
Neural TV program recommendation based on dynamic long-short term interest
Corrigendum to "Suppressed possibilistic fuzzy c-means clustering based on shadow sets for noisy data with imbalanced sizes" [Appl. Soft Comput. 167 (2024) 112263]
Integrating ontology technology with folksonomies for personalized social tag recommendation
A two-layer surrogate-assisted differential evolution with better and nearest option for optimizing the spring of hydraulic series elastic actuator
Designing genetic programming classifiers with feature selection and feature construction
Short-term forecasting of electricity price using ensemble deep kernel based random vector functional link network
A fuzzy back propagation network ensemble with example classification for lot output time prediction in a wafer fab
ADNS: An adaptive dynamic neighborhood search method guided by joint learning heuristics and corresponding hyperparameters
A bi-objective salp swarm algorithm with sine cosine operator for resource constrained multi-manned disassembly line balancing problem
Integrating LP-guided variable fixing with MIP heuristics in the robust design of hybrid wired-wireless FTTx access networks
An interval type-2 fuzzy Kano-prospect-TOPSIS based QFD model: Application to Chinese e-commerce service design
Neighbour-level message interaction encoding for improved representation learning on graphs
Arithmetic optimization algorithm with cosine composite chaotic mapping in polar coordinate system for economic load dispatching problems in power systems
Metapath and syntax-aware heterogeneous subgraph neural networks for spam review detection
Self-Optimization module for Scheduling using Case-based Reasoning
A simplified new approach for solving fuzzy transportation problems with generalized trapezoidal fuzzy numbers
A new fault classification approach applied to Tennessee Eastman benchmark process
A hybrid feature selection scheme and self-organizing map model for machine health assessment
Tuning metaheuristics by sequential optimisation of regression models
Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting
Decision-making model for failure modes and effect analysis based on rough fuzzy integrated clouds
Cascaded centralized TSK fuzzy system: universal approximator and high interpretation
Intelligent control of a constant turning force system with fixed metal removal rate
Improved subband-forward algorithm for acoustic noise reduction and speech quality enhancement
Quantile deep learning models for multi-step ahead time series prediction
A fast residual attention network for fine-grained unsupervised anomaly detection and localization
A self-supervised framework for computer-aided arrhythmia diagnosis
Volleyball premier league algorithm with ACO and ALNS for simultaneous pickup-delivery location routing problem
Entropic simplified swarm optimization for the task assignment problem
Fuzzy Jaccard Index: A robust comparison of ordered lists
Fuzzy FMEA application to improve decision-making process in an emergency department
Algorithmic trading using combinational rule vector and deep reinforcement learning
Solving biobjective traveling thief problems with multiobjective reinforcement learning
SFPSO algorithm-based multi-scale progressive inversion identification for structural damage in concrete cut-off wall of embankment dam
Path planning for flexible needle puncture based on multi-objective particle swarm optimization
Three-way imbalanced learning based on fuzzy twin SVM
Modeling of steady state hot flow behavior of API-X70 microalloyed steel using genetic algorithm and design of experiments
An artificial bee colony-based hybrid approach for waste collection problem with midway disposal pattern
RAMSF: A relation-aware multi-scale feature learning framework for predicting metabolite-disease associations
A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification
Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images
A robust method for load-carrying capacity assessment of semirigid steel frames considering fuzzy parameters
Increasing energy efficiency of rule-based fuzzy clustering algorithms using CLONALG-M for wireless sensor networks
Cricketer's tournament-wise performance prediction and squad selection using machine learning and multi-objective optimization
High-performance and ultra-compact spike-based architecture for real-time acoustic echo cancellation
A real time experimental setup for classification of epilepsy risk levels
Walk-forward empirical wavelet random vector functional link for time series forecasting
A new method for control of nonlinear networked systems
Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers - A study to show how popularity is affecting accuracy in social media
Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO
Two new meta-heuristics for a bi-objective supply chain scheduling problem in flow-shop environment
Artificial bee colony algorithm with gene recombination for numerical function optimization
Radial basis function neural network based data-driven iterative learning consensus tracking for unknown multi-agent systems
A hybrid optimized error correction system for time series forecasting
The weight fuzzy judgment method for the benchmarking sustainability of oil companies
State of charge prediction for lithium-ion batteries in electric aircraft based on self-supervised informer
Deep Convolutional Neural Network for musical genre classification via new Self Adaptive Sea Lion Optimization
Optimizing Dual-Task Q-Learning with latency and attention-aware schemes in edge computing
Fast and accurate online sequential learning of respiratory motion with random convolution nodes for radiotherapy applications
Convolutional descriptors aggregation via cross-net for skin lesion recognition
SHADE-WOA: A metaheuristic algorithm for global optimization
Artificial neural network modeling to evaluate and predict the deformation behavior of stainless steel type AISI 304L during hot torsion
Determining the prices of remanufactured products, capacity of internal workstations and the contracting strategy within queuing framework
Application of circle search algorithm for solar PV maximum power point tracking under complex partial shading conditions
Failure prediction by regularized fuzzy learning with intelligent parameters selection
Power quality disturbance detection and classification using wavelet and RBFNN
An approach based on neural networks for estimation and generalization of crossflow filtration processes
Image-based handwritten signature verification using hybrid methods of discrete Radon transform, principal component analysis and probabilistic neural network
Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic
A guided data projection technique for classification of sovereign ratings: The case of European Union 27
Augmented grey wolf optimizer for grid-connected PMSG-based wind energy conversion systems
Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features
A novel randomized machine learning approach: Reservoir computing extreme learning machine
Analysis of differencing and decomposition preprocessing methods for wind speed prediction
Effects of type reduction algorithms on forecasting accuracy of IT2FLS models
Investigating the impact of data normalization on classification performance
Energy efficient chain based cooperative routing protocol for WSN
Continual learning with a predictive coding based classifier
A bi-level evolutionary optimization approach for integrated production and transportation scheduling
Automatic data clustering using continuous action-set learning automata and its application in segmentation of images
Medical image fusion based on hybrid intelligence
Impact of migration strategies and individual stabilization on multi-scale quantum harmonic oscillator algorithm for global numerical optimization problems
Interval forecasting of Baltic Dry Index within a secondary decomposition-ensemble methodology
Prototype augmented network with metric-mixed under limited samples for mechanical intelligent fault recognition
A fuzzy clustering algorithm for developing predictive models in construction applications
Attribute selection method based on a hybrid BPNN and PSO algorithms
A hybrid approach for optimal location and capacity of UPFC to improve the dynamic stability of the power system
A multi-item transportation problem with fuzzy tolerance
Application of type-2 fuzzy logic system for load frequency control using feedback error learning approaches
Data and measurement mechanism integrated imaging method for electrical capacitance tomography
The application of ANFIS prediction models for thermal error compensation on CNC machine tools
An improved structure learning algorithm of Bayesian Network based on the hesitant fuzzy information flow
Application of interval type-2 fuzzy logic systems to gas turbine fault diagnosis
A lightweight YOLOv8-based model with Squeeze-and-Excitation Version 2 for crack detection of pipelines
A constrained multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism
Model predictive control of non-domestic heating using genetic programming dynamic models
A fast learning algorithm for evolving neo-fuzzy neuron
Feature selection via label enhancement and neighborhood rough set for multi-label data with unbalanced distribution
Differential evolution mutation operators for constrained multi-objective optimization
Pyramid particle swarm optimization with novel strategies of competition and cooperation
Matheuristics for mixed-model assembly line balancing problem with fuzzy stochastic processing time
Efficient multi-criteria optimization on noisy machine learning problems
A learning framework for temporal recommendation without explicit iterative optimization
A CMFFP-tree algorithm to mine complete multiple fuzzy frequent itemsets
A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems
Fourier augmented domain adaptation with soft pseudo-labelling for classifying time series
A linguistic distribution behavioral multi-criteria group decision making model integrating extended generalized TODIM and quantum decision theory
Processing 2D barcode data with metaheuristic based CNN models and detection of malicious PDF files
p-Median based formulations with backbone facility locations
A repulsive-distance-based maximum diversity selection algorithm for multimodal multiobjective optimization
An experimental evaluation of weightless neural networks for multi-class classification
Evolving intelligent algorithms for the modelling of brain and eye signals
A multi-objective methodology for multi-criteria engineering design
Fusion of soft computing and hard computing for large-scale plants: a general model
Component-based 2-/3-dimensional nearest neighbor search based on Elias method to GPU parallel 2D/3D Euclidean Minimum Spanning Tree Problem
A fuzzy-based frame transformation to mitigate the impact of adversarial attacks in deep learning-based real-time video surveillance systems
A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems
Fuzzy logic steering control of autonomous vehicles inside roundabouts
A multi-goal reinforcement learning framework for motion planning of a quadrotor UAV in 3D cluttered environment with unseen random goals
Instance variant nearest neighbor using particle swarm optimization for function approximation
Detecting anomalies within Unmanned Aerial Vehicle (UAV) video based on contextual saliency
Meta-modeling using generalized regression neural network and particle swarm optimization
An adaptive operator selection cuckoo search for parameter extraction of photovoltaic models
Simulated annealing algorithm with adaptive neighborhood
Graph recurrent neural networks-integrated real-time prediction of key displacements for fire-induced collapse early warning of steel frames
Jointly leveraging 1D and 2D convolution on diachronic entity embedding for temporal knowledge graph completion
Two metaheuristic approaches for the multiple traveling salesperson problem
Convolutional neural network pruning based on multi-objective feature map selection for image classification
CMBCF: A Cloud Model Based Hybrid Method for Combining Forecast
Deep convolutional generative adversarial network accelerated optimization algorithm for parameter optimization of permanent magnet synchronous generator controllers
Intuitionistic fuzzy geometric Heronian mean aggregation operators
A hierarchical heterogeneous ant colony optimization based oversampling algorithm using feature similarity for classification of imbalanced data
Implicit feature selection for omics data phenotype discrimination
An integrated multi-node Hadoop framework to predict high-risk factors of Diabetes Mellitus using a Multilevel MapReduce based Fuzzy Classifier (MMR-FC) and Modified DBSCAN algorithm
Interval Type-3 T-S fuzzy system for nonlinear aerodynamic modeling
A comparative study of boundary-based intelligent sampling approaches for nonlinear optimization
Flow interval prediction based on deep residual network and lower and upper boundary estimation method
New quantum-genetic based OLSR protocol (QG-OLSR) for Mobile Ad hoc Network
Time-series prediction using a regularized self-organizing long short-term memory neural network
Large language model augmented joint learning framework for entity-relation extraction
On the performance of bee algorithms for resource-constrained project scheduling problem
A dissimilarity-based approach to automatic classification of biosignal modalities
An evolutionary hybrid Fuzzy Computationally Efficient EGARCH model for volatility prediction
Challenges and opportunities of generative models on tabular data
Cluster ensembles in collaborative filtering recommendation
A simulation-based genetic algorithm for a semi-automated warehouse scheduling problem with processing time variability
A sine cosine algorithm guided by elite pool strategy for global optimization
Simulated annealing variants for self-organized resource allocation in small cell networks
An interactive evolutionary multi-objective optimization and decision making procedure
Estimation of elastic constant of rocks using an ANFIS approach
A Bayesian-based hyper-heuristic algorithm for the integrated scheduling of distributed production assembly and delivery problem
Joint stage features modulation for progressive blind face restoration
A new fuzzy linguistic approach to qualitative Cross Impact Analysis
Adaptive multi-region prediction strategy for dynamic multi-objective optimization
Fuzzy inference suitability to determine the utilitarian quality of B2C websites
Link-based multi-verse optimizer for text documents clustering
Striking a better balance between segmentation performance and computational costs with a minimalistic network design
Differential Evolution with wavelet basis function based parameter control and dimensional interchange for diversity enhancement
Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms
An augmented multi-objective particle swarm optimizer for building cluster operation decisions
Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System
CFPS: Collaborative filtering based source projects selection for cross-project defect prediction
Travel time prediction for highway network based on the ensemble empirical mode decomposition and random vector functional link network
Class-conditional unbiased loss for single-positive multi-label learning
Fuzzy natural neighbors for outlier detection
Multiagent reinforcement learning with evolution for multitarget tracking by unmanned aerial vehicle swarm
High-resolution subspace neural network approach for solving the singular perturbed boundary layer problem
A two-layer TinyML approach aided by metaheuristics optimization for leveraging agriculture 4.0 and plant disease classification
LPAT: An interactive simulation tool for assessing the lightning performance of Hellenic high voltage transmission lines
A comprehensive analysis of Bitcoin volatility forecasting using time-series econometric models
Pipelining the ranking techniques for microarray data classification: A case study
Safety assessment of excavation system via TOPSIS-based MCDM modelling in fuzzy environment
Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning
Observer-based adaptive neural network control for PEMFC air-feed subsystem
Performance evaluation of feed-forward neural network with soft computing techniques for hand written English alphabets
Diagnosis of breast cancer using flexible pinball loss support vector machine
A tightly-coupled dense monocular Visual-Inertial Odometry system with lightweight depth estimation network
FCF: Feature complement fusion network for detecting COVID-19 through CT scan images
AOT-PixelNet: Lightweight and interpretable detection of forged images via adaptive orthogonal transform
Deep learning based enhanced tumor segmentation approach for MR brain images
Multi-criteria group decision-making method in disposal of municipal solid waste based on cubic Pythagorean fuzzy EDAS approach with incomplete weight information
Meta-learning-based adaptive operator selection for traveling salesman problem
A novel multi-objective meta-heuristic model for solving cross-docking scheduling problems
A non-iterative method for pruning hidden neurons in neural networks with random weights
Multi-user quantum key distribution with deep Q networks for secure routing
HSSAGA: Designation and scheduling of nurses for taking care of COVID-19 patients using novel method of Hybrid Salp Swarm Algorithm and Genetic Algorithm
Integration of feature vector selection and support vector machine for classification of imbalanced data
Explainable deep learning-based dynamic prediction of surface settlement considering temporal characteristics during deep excavation
A multi-response optimal design of bistable compliant mechanism using efficient approach of desirability, fuzzy logic, ANFIS and LAPO algorithm
Robust hierarchical clustering for novelty identification in sensor networks: With applications to industrial systems
Adaptive mutant particle swarm optimization based precise cargo airdrop of unmanned aerial vehicles