yusuke1997/dblp-id-title huggingface dataset:
Few-shot fault diagnosis of particle accelerator power system using a bidirectional discriminative prototype network
A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management
Routine discovery of complex genetic models using genetic algorithms
A population-based simulated annealing approach with adaptive mutation operator for solving the discounted {0-1} knapsack problem
Probabilistic safety risk assessment in large-diameter tunnel construction using an interactive and explainable tree-based pipeline optimization method
A novel vSLAM framework with unsupervised semantic segmentation based on adversarial transfer learning
A simheuristic approach towards supply chain scheduling: Integrating production, maintenance and distribution
A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks
A deep generative model for selecting representative periods in renewable energy-integrated power systems
Two-step multi-view and multi-label learning with missing label via subspace learning
Consistency of the fused intuitionistic fuzzy preference relation in group intuitionistic fuzzy analytic hierarchy process
A granularity time series forecasting model combining three-way decision and trend information granule
Supporting scheduling decisions by using genetic algorithm based on tourists' preferences
Comprehensive analysis of pathways in Coronavirus 2019 (COVID-19) using an unsupervised machine learning method
Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges
Label repopulation through evolutionary computation for addressing challenging multilabel problems
A genetic algorithm for finding a path subject to two constraints
Soft multicriteria computing supporting decisions on the Forex market
Direct derivation scheme of DT-RNN algorithm for discrete time-variant matrix pseudo-inversion with application to robotic manipulator
Surrogate-assisted teaching-learning-based optimization for high-dimensional and computationally expensive problems
Online incremental learning for sleep quality assessment using associative Petri net
Estimating missing data using novel correlation maximization based methods
Towards white box modeling of compressive strength of sustainable ternary cement concrete using explainable artificial intelligence (XAI)
Couple-based particle swarm optimization for short-term hydrothermal scheduling
A hybrid genetic and linear programming algorithm for two-agent order acceptance and scheduling problem
Decision-making in cognitive paradoxes with contextuality and quantum formalism
A review of particle swarm optimization and its applications in Solar Photovoltaic system
Developing optimal policies for reservoir systems using a multi-strategy optimization algorithm
An integrated fuzzy decision model for potential digital transformation overcoming circular food consumption and production promotion
Designing bijective S-boxes using Algorithm Portfolios with limited time budgets
Adaptive inertia weight Bat algorithm with Sugeno-Function fuzzy search
Multi-objective simulated annealing algorithm for robotic mixed-model two-sided assembly line balancing with setup times and multiple constraints
Path analysis for effective fault localization in deep neural networks
Buffer allocation and performance modeling in asynchronous assembly system operations: An artificial neural network metamodeling approach
A fitness landscape ruggedness multiobjective differential evolution algorithm with a reinforcement learning strategy
Explainable deep learning framework for lower limb activity classification using reconstructed sEMG signals in healthy and pathological subjects
Autonomous task allocation for multi-UAV systems based on the locust elastic behavior
Improving the COCOMO model using a neuro-fuzzy approach
Scheduling of no buffer job shop cells with blocking constraints and automated guided vehicles
Hybrid optimization with improved tabu search
A band selection approach based on a modified gray wolf optimizer and weight updating of bands for hyperspectral image
Solving the high school timetabling problem using a hybrid cat swarm optimization based algorithm
An improved hybrid firefly algorithm for capacitated vehicle routing problem
Solving large-scale instances of the urban transit routing problem with a parallel artificial bee colony-hill climbing optimization algorithm
Five discrete symbiotic organisms search algorithms for simultaneous optimization of feature subset and neighborhood size of KNN classification models
Prediction of stable cutting depths in turning operation using soft computing methods
Optimizing an irrigation treatment using an evolutionary algorithm and a knowledge discovery framework based on Deep models
Adaptive evolutionary algorithms with linear average convergence rate for optimization problems with Lipschitz continuous functions
M2FN: Multi-step modality fusion for advertisement image assessment
Cluster head selection strategy of WSN based on binary multi-objective adaptive fish migration optimization algorithm
Minimax bilevel fractional optimization for imaging in electrical capacitance tomography
A 3D template-based point generation network for 3D reconstruction from single images
Metaheuristic-driven space partitioning and ensemble learning for imbalanced classification
Soft computing approach to fault diagnosis of centrifugal pump
Feature selection based on brain storm optimization for data classification
A SVR-based ensemble approach for drifting data streams with recurring patterns
Intelligent flow measurement system for urban drainage pipeline based on multi-domain coupling theoretical method
Reservoir characterization through comprehensive modeling of elastic logs prediction in heterogeneous rocks using unsupervised clustering and class-based ensemble machine learning
Local Reversible Transformer for semantic segmentation of grape leaf diseases
A survey on aspect base sentiment analysis methods and challenges
Adapting the population size in CMA-ES using nearest-better clustering method for multimodal optimization
How repeated data points affect bug prediction performance: A case study
Neuro-fuzzy techniques to optimize an FPGA embedded controller for robot navigation
Hybrid NSGA-II for an imperfect production system considering product quality and returns under two warranty policies
Adaptive Tabu search and variable neighborhood descent for packing unequal circles into a square
Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study
Multi-model strategy based evidential soft sensor model for predicting evaluation of variables with uncertainty
A hybrid noise suppression filter for accuracy enhancement of commercial speech recognizers in varying noisy conditions
Two-stage stacking heterogeneous ensemble learning method for gasoline octane number loss prediction
Comparative study of the use of fuzzy logic in improving particle swarm optimization variants for mathematical functions using co-evolution
A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers
Genetic algorithms for a two-agent single-machine problem with release time
A memetic grammar inference algorithm for language learning
A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption
A support vector machine model for intelligent selection of data representations
Transforming security in internet of medical things with advanced deep learning-based intrusion detection frameworks
Real-time hierarchical risk assessment for UAVs based on recurrent fusion autoencoder and dynamic FCE: A hybrid framework
Type-2 fuzzy logic-based classifier fusion for support vector machines
A hybrid variable neighborhood search for solving the hybrid flow shop scheduling problem
GLformer: Global-local spatio-temporal graph fusion transformer network for traffic flow prediction
Design optimization of resource combination for collaborative logistics network under uncertainty
A dual-population auxiliary multiobjective coevolutionary algorithm for constrained multiobjective optimization problems
Confidence-weighted bias model for online collaborative filtering
Meta-Lamarckian learning in multi-objective optimization for mobile social network search
Particle Swarm Optimization and Differential Evolution for model-based object detection
An enhanced CRADIS decision model for optimizing radioactive waste reduction through transmutations based on Disc Spherical Fuzzy information
An ant colony optimization algorithm with improved pheromone correction strategy for the minimum weight vertex cover problem
Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods
DNNAM: Image inpainting algorithm via deep neural networks and attention mechanism
Extracting classification rules from modified fuzzy min-max neural network for data with mixed attributes
Inventory based two-objective job shop scheduling model and its hybrid genetic algorithm
Performance evaluation of approximated artificial neural network (AANN) algorithm for reliability improvement
Solving constrained optimization problems via multifactorial evolution
Multicriteria decisions on interdependent infrastructure transportation projects using an evolutionary-based framework
An ensemble deep learning method as data fusion system for remote sensing multisensor classification
Selection of the transportation mode of green hydrogen in Brazil: An application of the spherical fuzzy PROMETHEE II
Word-level neutrosophic sentiment similarity
An artificial intelligent-based model for detecting systolic pathological patterns of phonocardiogram based on time-growing neural network
Distracted driver detection by combining in-vehicle and image data using deep learning
Tumor classification algorithm via parallel collaborative optimization of single- and multi-objective consistency on PET/CT
Multiple equipment scheduling and routing for container terminals using quantum-inspired deep learning
A hierarchical particle swarm optimizer with latin sampling based memetic algorithm for numerical optimization
LesionMix data enhancement and entropy minimization for semi-supervised lesion segmentation of lung cancer
A machine learning approach to assess price sensitivity with application to automobile loan segmentation
Diagnosis-based domain-adaptive design using designable data augmentation and Bayesian transfer learning: Target design estimation and validation
A Dueling Deep Q-Network method for low-carbon traffic signal control
A cautious ranking methodology with its application for stock screening
Prediction model of energy market by long short term memory with random system and complexity evaluation
Online Interval Type-2 Fuzzy Extreme Learning Machine applied to 3D path following for Remotely Operated Underwater Vehicles
A directed batch growing approach to enhance the topology preservation of self-organizing map
Self-organizing neural networks with fuzzy polynomial neurons
Attention-based convolution neural network for magnetic tile surface defect classification and detection
Self-adaptive single and simultaneous fault diagnosis for rotating machinery via redefined signal quality indicator and parallel ensemble network
Localized genetic algorithm for vehicle routing problem with time windows
Scheduling algorithm based on prefetching in MapReduce clusters
Content-based image retrieval based on multiple extended fuzzy-rough framework
A real-time decentralized algorithm for task scheduling in multi-agent system with continuous damage
Promoting the physician-patient consensus with a hesitant fuzzy linguistic consensus method based on betweenness relation
Convex polygon fitting in robot-based neurorehabilitation
Improving class noise detection and classification performance: A new two-filter CNDC model
Terminal crossover and steering-based particle swarm optimization algorithm with disturbance
iSecureHome: A deep fusion framework for surveillance of smart homes using real-time emotion recognition
OrbitNet: A new CNN model for automatic fault diagnostics of turbomachines
A hybrid VMD-BiGRU model for rubber futures time series forecasting
A novel gradient learning algorithm based on zero-order Takagi-Sugeno fuzzy model: the caputo fractional-order gradient descent
In search of an optimization technique for Artificial Neural Network to classify abnormal heart sounds
A Health state-related ensemble deep learning method for aircraft engine remaining useful life prediction
Adaptive sliding mode control with hysteresis compensation-based neuroevolution for motion tracking of piezoelectric actuator
Rethinking unsupervised time series anomaly detection: Dynamic attention based on route inverse-masking
A deep residual neural network model for synchronous motor fault diagnostics
Chest X-ray enhancement to interpret pneumonia malformation based on fuzzy soft set and Dempster-Shafer theory of evidence
Uncertainty treatment in expert information systems for maintenance policy assessment
A multiobjective box-covering algorithm for fractal modularity on complex networks
Unsupervised feature learning for environmental sound classification using Weighted Cycle-Consistent Generative Adversarial Network
A feature-thresholds guided genetic algorithm based on a multi-objective feature scoring method for high-dimensional feature selection
Entropy-weighted medoid shift: An automated clustering algorithm for high-dimensional data
Two-stage grasp strategy combining CNN-based classification and adaptive detection on a flexible hand
A distributed density estimation algorithm and its application to naive Bayes classification
Robust online active learning with cluster-based local drift detection for unbalanced imperfect data
Performance of artificial neural networks in nearshore wave power prediction
Crowding clustering genetic algorithm for multimodal function optimization
VTG schemes for using back propagation for multivariate time series prediction
Novel hybrid algorithm for Team Orienteering Problem with Time Windows for rescue applications
CDA-MVSNet: Enhancing asteroid 3D reconstruction with channel attention and dynamic aggregation
Crack detection in beam-like structures using genetic algorithms
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks
Group decision making method for site selection of car sharing stations in Istanbul using spherical fuzzy rough numbers
EMGdi signal enhancement based on ICA decomposition and wavelet transform
Emotional classification in COVID-19: Analyzing Chinese microblogs with domain-adapted contrastive learning
Profit based unit commitment using memetic binary differential evolution algorithm
Study on deep reinforcement learning-based multi-objective path planning algorithm for inter-well connected-channels
Accurate multi-class image segmentation using weak continuity constraints and neutrosophic set
Representing complex intuitionistic fuzzy set by quaternion numbers and applications to decision making
Corrigendum to "Multi-criteria group decision making with incomplete hesitant fuzzy preference relations" [Appl. Soft Comput. 36(2015) 1-23]
Time-series prediction of organomineral fertilizer moisture using machine learning
Genetic algorithm with peaks adaptive objective function used to fit the EPR powder spectrum
Two population-based optimization algorithms for minimum weight connected dominating set problem
Offline robust tuning of the motion control for omnidirectional mobile robots
Multiple scale self-adaptive cooperation mutation strategy-based particle swarm optimization
Efficacy of utilizing a hybrid algorithmic method in enhancing the functionality of multi-instance multi-label radial basis function neural networks
RLTD: A Reinforcement Learning-based Truth Data Discovery scheme for decision support systems under sustainable environments
Tourism attraction selection driven by online tourist reviews: A novel multi-attribute decision making method based on the evidence theory and probabilistic linguistic term sets
Intelligent feature extraction and classification of anuran vocalizations
Evolutionary multiobjective multiple description wavelet based image coding in the presence of mixed noise in images
The consensus and dissent model in the graph model for conflict resolution with interval fuzzy preferences with application to doctor-patient disputes
A priority rule heuristic for the multi-skilled resource-constrained project scheduling problem
SAR images analysis based on polarimetric signatures
Smooth non-negative sparse representation for face and handwritten recognition
Theta-mechanism based cluster search algorithm for global constrained optimization
DQN-enabled content caching and quantum ant colony-based computation offloading in MEC
On type-reduction of type-2 fuzzy sets: A review
A time-aware developer recommendation approach based on multi-feature fusion
Using sequential deviation to dynamically determine the number of clusters found by a local network neighbourhood artificial immune system
On the entropy for Atanassov's intuitionistic fuzzy sets: An interpretation from the perspective of amount of knowledge
Automatic network clustering via density-constrained optimization with grouping operator
Automatic plaque segmentation based on hybrid fuzzy clustering and k nearest neighborhood using virtual histology intravascular ultrasound images
Runtime data center temperature prediction using Grammatical Evolution techniques
Consolidation assessment using Multi Expression Programming
Efficient multi-objective evolutionary neural architecture search for U-Nets with diamond atrous convolution and Transformer for medical image segmentation
A new platform for the prediction of field-dependent yield stress and plastic viscosity of magnetorheological fluids using particle swarm optimization
EEvoU-Net: An ensemble of evolutionary deep fully convolutional neural networks for medical image segmentation
Aerodynamic data predictions based on multi-task learning
Advances in EEG-based emotion recognition: Challenges, methodologies, and future directions
Quantitative detection of cervical cancer based on time series information from smear images
Attention-inspired text-based recommender system with explanatory capabilities
GPU accelerated training of image convolution filter weights using genetic algorithms
Dynamic fuzzy logic and reinforcement learning for adaptive energy efficient routing in mobile ad-hoc networks
Detection of level of satisfaction and fuzziness patterns for MCDM model with modified flexible S-curve MF
The effects of asymmetric neighborhood assignment in the MOEA/D algorithm
An efficient metaheuristic algorithm based feature selection and recurrent neural network for DoS attack detection in cloud computing environment
Soft computing techniques in multi-criteria recommender systems: A comprehensive review
Multiagent based differential evolution approach to optimal power flow
Interval type-2 fuzzy C-means forecasting model for fuzzy time series
Application of binary PSO for public cloud resources allocation system of video on demand (VoD) services
A self-adapting algorithm for many-objective optimization
A group consensus method based on social network and three-way decision under multi-scale information systems
Dual optimization approach in discrete Hopfield neural network
Temporal 2D-cycle-generation framework for time series classification
AISIID: An artificial immune system for interesting information discovery on the web
Multiobjective bilevel evolutionary approach for off-grid direction-of-arrival estimation
Complex q-rung orthopair fuzzy Yager aggregation operators and their application to evaluate the best medical manufacturer
Deep features based convolutional neural network model for text and non-text region segmentation from document images
On learning dual classifiers for better data classification
The impact of particular components of the PSO-based algorithm solving the Dynamic Vehicle Routing Problem
Service similarity measurement integrating Bi-LSTM contextual representation and attention mechanism for web service discovery
Enhanced sine cosine algorithm using opposition learning, adaptive evolution and neighborhood search strategies for multivariable parameter optimization problems
Finding critical criteria of evaluating electronic service quality of Internet banking using fuzzy multiple-criteria decision making
Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation
Automatic block size optimization in the LOF algorithm for efficient anomaly detection
Credit rating by hybrid machine learning techniques
MultiDampGen: A self-constraint latent diffusion framework for multiscale energy-dissipating microstructure generation
Multi-label learning for fault diagnosis of pumping units with one positive label
Adaptive dynamic surrogate-assisted evolutionary computation for high-fidelity optimization in engineering
Intelligent mixed H 2 /H ∞ adaptive tracking control system design using self-organizing recurrent fuzzy-wavelet-neural-network for uncertain two-axis motion control system
Evolutionary design of en-route caching strategies
Deep learning: Historical overview from inception to actualization, models, applications and future trends
A multi-objective Grey Wolf-Cuckoo Search algorithm applied to spatial truss design optimization
Particle swarm optimization based nonlinear active noise control under saturation nonlinearity
RTAD-HIS: Regulated transformer architecture based anomaly detection framework towards security in healthcare IoT systems
An optimization framework for COVID-19 vaccine allocation and inventory management: A case study
A new reverse reduce-error ensemble pruning algorithm
An evolutionary image matching approach
Estimation of heart rate signals for mental stress assessment using neuro fuzzy technique
Credit risk modeling on data with two timestamps in peer-to-peer lending by gradient boosting
Grey forecasting models based on internal optimization for Novel Corona virus (COVID-19)
A comparative study of classifier ensembles for bankruptcy prediction
Prediction of the risk level of saltwater intrusion in the Modaomen waterway of the Pearl River Estuary based on the deep temporal clustering model
A study of equivalent electrical circuit fitting to electrochemical impedance using a stochastic method
Analytic hierarchy prioritization process in the AHP application development: A prioritization operator selection approach
A hybrid method for inversion of 3D AC resistivity logging measurements
Lightweight intrusion detection model based on CNN and knowledge distillation
Fuzzy image clustering incorporating local and region-level information with median memberships
A semantic web-based risk assessment framework for collaborative planning to enhance overall supply chain effectiveness for semiconductor industry
Learning fuzzy decision trees for predicting outcomes of legal cases relating to intellectual property rights
Integrating adaptive input length selection strategy and unsupervised transfer learning for bearing fault diagnosis under noisy conditions
Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems
Adaptive multi-objective genetic algorithms for scheduling of drilling operation in printed circuit board industry
Solving the dynamic weapon target assignment problem by an improved artificial bee colony algorithm with heuristic factor initialization
Two approaches for the min-degree constrained minimum spanning tree problem
A hybrid watermarking technique applied to digital images
Distributed memetic differential evolution with the synergy of Lamarckian and Baldwinian learning
Feature-weight and cluster-weight learning in fuzzy c-means method for semi-supervised clustering
Nature inspired algorithms to optimize robot workcell layouts
Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics
Pathology characteristics-aware federated learning for weakly supervised nuclei segmentation