yusuke1997/dblp-id-title huggingface dataset:
Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy
First and second order dynamics in a hierarchical SOM system for action recognition
Symplectic incremental matrix machine and its application in roller bearing condition monitoring
Hybrid heuristic search approach for deadlock-free scheduling of flexible manufacturing systems using Petri nets
Kalman filtering for fuzzy discrete time dynamic systems
An efficient reinforcement learning scheme for the confinement escape problem
Quantitative risk assessment of cruise ship turbochargers using type-2 fuzzy-FMECA and dynamic Bayesian network approach
3D model reconstruction using neural gas accelerated on GPU
A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network
Multiscale spatio-temporal feature fusion based non-intrusive appliance load monitoring for multiple industrial industries
BAND: BAgging noise detectors with application to semiconductor wafer denoising
SOMSE: A semantic map based meta-search engine for the purpose of web information customization
Highly interpretable hierarchical deep rule-based classifier
A novel approach to guarantee good robustness of fuzzy reasoning
A multilevel pooling scheme in convolutional neural networks for texture image recognition
A stacked ensemble method based on TCN and convolutional bi-directional GRU with multiple time windows for remaining useful life estimation
Efficient e-mail spam filtering approach combining Logistic Regression model and Orthogonal Atomic Orbital Search algorithm
Improving neural network models of physical systems through dimensional analysis
Investment project evaluation by a decision making methodology based on type-2 fuzzy sets
Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics
Multi-task ant system for multi-object parameter estimation and its application in cell tracking
A short-term power load forecasting system based on data decomposition, deep learning and weighted linear error correction with feedback mechanism
Robust steganographic method based on unconventional approach of neural networks
A string grammar fuzzy-possibilistic C-medians
CEEP-FL: A comprehensive approach for communication efficiency and enhanced privacy in federated learning
Software and hardware synergy for accelerated plant disease identification
HANMRE - An authenticated encryption secure against side-channel attacks for nonce-misuse and lightweight approaches
A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients
Multilinear Weighted Regression (MWE) with Neural Networks for trend prediction
A hybrid financial trading support system using multi-category classifiers and random forest
Classification of silent speech using support vector machine and relevance vector machine
An integrated QFD framework with multiple formatted and incomplete preferences: A sustainable supply chain application
Ensemble wind speed prediction system based on envelope decomposition method and fuzzy inference evaluation of predictability
An ensemble approach of classification model for detection and classification of power quality disturbances in PV integrated microgrid network
Genetic fuzzy system for data-driven soft sensors design
A robust reliability prediction method using Weighted Least Square Support Vector Machine equipped with Chaos Modified Particle Swarm Optimization and Online Correcting Strategy
Multi-objective genetic-based algorithms for a cross-docking scheduling problem
Uncertainty management in multiobjective hydro-thermal self-scheduling under emission considerations
Graphormer based contrastive learning for recommendation
A synergy of the adaptive whale optimization algorithm and differential evolution for abrupt motion tracking
Autonomous profile-based anomaly detection system using principal component analysis and flow analysis
Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups
Embracing data irregularities in multivariate time series
Multi-scale convolutional attention knowledge tracing from accumulative and structural evolution perspectives
Advanced deep learning approaches for fault detection in solar PV systems: A comparative study of SPDA and AIFD-SolDL
Application of particle swarm optimization in epileptic spike EEG source localization
Methods to improve the ordinal and multiplicative consistency for reciprocal preference relations
A problem transformation-based and decomposition-based evolutionary algorithm for large-scale multiobjective optimization
A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system
An adaptive differential evolutionary algorithm incorporating multiple mutation strategies for the economic load dispatch problem
Goal distance-based UAV path planning approach, path optimization and learning-based path estimation: GDRRT*, PSO-GDRRT* and BiLSTM-PSO-GDRRT*
A dynamic parameters genetic algorithm for collaborative strike task allocation of unmanned aerial vehicle clusters towards heterogeneous targets
A deep neural network model for fashion collocation recommendation using side information in e-commerce
Diffusion-based dynamic super-dense candidate boxes with random center points for 3D object detection
Considering personalized individual semantics with ordinal and cardinal consensus reaching processes via three-way decision and regret theory
Hierarchical deep reinforcement learning to drag heavy objects by adult-sized humanoid robot
A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks
Minimization for ternary fixed polarity Reed-Muller expressions based on ternary quantum shuffled frog leaping algorithm
An optimal motion planning method for computer-assisted surgical training
Parameter identification of induction motors using stochastic optimization algorithms
A dynamic hypergraph attention network: Capturing market-wide spatiotemporal dependencies for stock selection
Simulation optimization based on Taylor Kriging and evolutionary algorithm
3D robotic navigation using a vision-based deep reinforcement learning model
Knowledge-enhanced large language models for ideation to implementation: A new paradigm in product design
Unified model for interpreting multi-view echocardiographic sequences without temporal information
Archival image indexing with connectivity features using randomized masks
Class conditioned text generation with style attention mechanism for embracing diversity
Image segmentation scheme based on SOM-PCNN in frequency domain
Practical guidelines for resolving the loss divergence caused by the root-mean-squared propagation optimizer
Fitness landscape analysis and niching genetic approach for hybrid beamforming in RIS-aided communications
Quaternion-based 2D-DOST and stacked principal component analysis network for multimodal face recognition
Supervised weight learning-based PSO framework for single document extractive summarization
Multi-module satellite component assignment and layout optimization
Railway network delay evolution: A heterogeneous graph neural network approach
DeGAN: Mixed noise removal via generative adversarial networks
An agent model for rough classifiers
A neural network compression method based on knowledge-distillation and parameter quantization for the bearing fault diagnosis
Parallel and distributed architecture of genetic algorithm on Apache Hadoop and Spark
Possibility neutrosophic soft sets and PNS-decision making method
Transferable self-attention recurrent network for pedestrian trajectory prediction
Multi-sensor based prediction of metal deposition in pulsed gas metal arc welding using various soft computing models
A faster convergence and concise interpretability TSK fuzzy classifier deep-wide-based integrated learning
Fuzzy multi-attribute information fusion approach for finance investment selection with the expert reliability
Multi-attribute group decision making method based on Pythagorean fuzzy Einstein interactive power averaging approach for sustainable cement industry
A novel neural-network approach of analog fault diagnosis based on kernel discriminant analysis and particle swarm optimization
A novel algorithm based on information diffusion and fuzzy MADM methods for analysis of damages caused by diabetes crisis
A polynomial goal programming approach for intuitionistic fuzzy portfolio optimization using entropy and higher moments
MimicNet: Mimicking manual delineation of human expert for brain tumor segmentation from multimodal MRIs
Economic dispatch using metaheuristics: Algorithms, problems, and solutions
Incorporating expert knowledge into evolutionary algorithms with operators and constraints to design satellite systems
Detection of malicious and non-malicious website visitors using unsupervised neural network learning
Monitoring applications: An immune inspired algorithm for software-fault detection
Fuzzy C-Means-based Isolation Forest
Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data
Ada: Adversarial learning based data augmentation for malicious users detection
Malware detection model based on stacking ensemble technique
Enhancing personalized learning with explainable AI: A chaotic particle swarm optimization based decision support system
An auxiliary correction model implemented by the Correction Property of intermediate layer against adversarial examples
Preferences in multi-objective evolutionary optimisation of electric motor speed control with hardware in the loop
Aggregation of nonlinearly enhanced experts with application to electricity load forecasting
Sequential approximation optimization assisted particle swarm optimization for expensive problems
Disentangling consistent, complementary and modality-private information via twin information bottleneck for multi-modal clustering
Expanded feature space-based gradient boosting ensemble learning for risk prediction of type 2 diabetes complications
Sustainable third-party reverse logistics provider evaluation and selection using fuzzy SWARA and developed fuzzy COPRAS in the presence of risk criteria
Robust and secured watermarking using Ja-Fi optimization for digital image transmission in social media
Managing multi-line power congestion by using Hybrid Nelder-Mead - Fuzzy Adaptive Particle Swarm Optimization (HNM-FAPSO)
Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network
An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis
Real time detection of cache-based side-channel attacks using hardware performance counters
Picture fuzzy VIKOR-TOPSIS approach based on knowledge and accuracy measures for suitable adsorbent decision making
Controlling the movement of crowds in computer graphics by using the mechanism of particle swarm optimization
The interactive consensus reaching process with the minimum and uncertain cost in group decision making
SO-ARTIST: Self-Organized ART-2A inspired clustering for online Takagi-Sugeno fuzzy models
Two-phase neighborhood search algorithm for two-agent hybrid flow shop scheduling problem
Optimal virtual machine selection for anomaly detection using a swarm intelligence approach
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data
A new integrated SVM classifiers for relevance feedback content-based image retrieval using EM parameter estimation
Financial asset allocation strategies using statistical and Machine Learning Models: Evidence from comprehensive scenario testing
The runner-root algorithm: A metaheuristic for solving unimodal and multimodal optimization problems inspired by runners and roots of plants in nature
Hybrid bi-objective gray wolf optimization algorithm for a truck scheduling problem in the automotive industry
Unraveling incomplete multiview data: An information-theoretic framework
Using Fuzzy Analytic Network Process to assess the risks in enterprise resource planning system implementation
A robust framework for benchmarking MCDA methods: Sensitivity, stability, and method selection decision support
Fuzzy risk analysis in poultry farming based on a novel similarity measure of fuzzy numbers
Credit evaluation using eigenface method for mobile telephone customers
Feature-enhanced multivariate ensemble model for PV power spatio-temporal forecasting and scenario generation
Emotion quantification and classification using the neutrosophic approach to deep learning
A gradient boosting decision tree based GPS signal reception classification algorithm
G-CREM: A GRASP approach to solve the container relocation problem for multibays
Optimization strategies for Microgrid energy management systems by Genetic Algorithms
Deep reinforcement learning with reward shaping for tracking control and vibration suppression of flexible link manipulator
A particle swarm optimizer with dynamic balance of convergence and diversity for large-scale optimization
DHAN: Encrypted JPEG image retrieval via DCT histograms-based attention networks
Two phases of metaheuristic techniques for the minimum conflict weighted spanning tree problem
An efficient krill herd algorithm for color image multilevel thresholding segmentation problem
Hedonic shopping rent valuation by one-to-one neuromarketing and neutrosophic PROMETHEE method
Distributed multi-objective genetic model for parallel co-clustering ensemble
Rough neighborhood graph: A method for proximity modeling and data clustering
A robust method based on reinforcement learning and differential evolution for the optimal photovoltaic parameter extraction
Safety assessment of intelligent vehicles considering drivers' risk perception information under interval 2-tuple q-rung Orthopair Fuzzy Sets
Interpreting network knowledge with attention mechanism for bearing fault diagnosis
Towards the generation of hierarchical attack models from cybersecurity vulnerabilities using language models
Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting
Pseudo-deep unsupervised model-based clustering for brain tumor detection in magnetic resonance images
Hybrid simulated annealing and genetic approach for solving a multi-stage production planning with sequence-dependent setups in a closed-loop supply chain
End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images
A multiclass/multilabel document categorization system: Combining multiple classifiers in a reduced dimension
A framework of integrated differential evolution variants based on adaptive relay mode for global optimization
Dynamic forecasting of the Shanghai Stock Exchange index movement using multiple types of investor sentiment
FedAGCN: A traffic flow prediction framework based on federated learning and Asynchronous Graph Convolutional Network
A heredity-based adaptive variation operator for reinitialization in dynamic multi-objective problems
An intelligent coordinator design for GCSC and AGC in a two-area hybrid power system
MRI breast cancer diagnosis hybrid approach using adaptive ant-based segmentation and multilayer perceptron neural networks classifier
Optimizing the artificial neural network parameters using a biased random key genetic algorithm for time series forecasting
Neural-dynamics-enabled Jacobian inversion for model-based kinematic control of multi-section continuum manipulators
New fuzzy C-means clustering method based on feature-weight and cluster-weight learning
Efficient solution concepts and their application in uncertain multiobjective programming
Linguistic continuous ordered weighted distance measure and its application to multiple attributes group decision making
A local information based multi-objective evolutionary algorithm for community detection in complex networks
Concept-based evidential reasoning for multimodal fusion in human-computer interaction
Bi-Branching Feature Interaction Representation Learning for Multivariate Time Series
Modulo 9 model-based learning for missing data imputation
APA-boosted segmentation neural network with flexible set expansion strategy for industrial fault detection
Design optimization of N-shaped roof trusses using reactive taboo search
On deterministic chaos in software reliability growth models
Forecasting COVID-19 daily cases using phone call data
Fusion prediction strategy-based dynamic multi-objective sparrow search algorithm
Dynamic index tracking via multi-objective evolutionary algorithm
A method to detect the unpopular but valuable alternatives in large-scale linguistic group decision making
Improving the prediction of ground motion parameters based on an efficient bagging ensemble model of M5′ and CART algorithms
Multi-stage deep residual collaboration learning framework for complex spatial-temporal traffic data imputation
Applying text similarity algorithm to analyze the triangular citation behavior of scientists
Interaction matters: Encrypted traffic classification via status-based interactive behavior graph
Genetic programming for epileptic pattern recognition in electroencephalographic signals
A multi-agent virtual market model for generalization in reinforcement learning based trading strategies
A judgment-based model for usability evaluating of interactive systems using fuzzy Multi Factors Evaluation (MFE)
Extended TODIM method for CCUS storage site selection under probabilistic hesitant fuzzy environment
Context-aware reinforcement learning for course recommendation
Liger: A cross-platform open-source integrated optimization and decision-making environment
VSTDet: A lightweight small object detection network inspired by the ventral visual pathway
Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features
A coevolutionary algorithm based on reference line guided archive for constrained multiobjective optimization
Hybrid robust support vector machines for regression with outliers
Special issue on Neural Information Processing for Optimization and Applications
Multi-objective evolutionary fuzzy clustering for image segmentation with MOEA/D
Hybrid change point detection for time series via support vector regression and CUSUM method
Multiresolution semantic activity characterisation and abnormality discovery in videos
Interval-model-based global optimization framework for robust stability and performance of PID controllers
Probabilistic transformation of basic probability assignment based on weighted visibility graph networks
Identifying central and peripheral nerve fibres with an artificial intelligence approach
Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques
A comprehensive methodology for quantification of Bow-tie under type II fuzzy data
Fuzzy classification with distance-based depth prototypes: High-dimensional unsupervised and/or supervised problems
Robust autonomous vehicle control by leveraging multi-stage MPC and quantized CNN in HIL Framework
Application of fuzzy linear regression method for sensory evaluation of fried donut
Designing a composite deep learning based differential protection scheme of power transformers
Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data
An introduction of a reward-based time-series forecasting model and its application in predicting the dynamic and complicated behavior of the Earth rotation (Delta-T values)
Hybrid-domain parallel attention and collaborative interaction transformer for multi-focus image fusion
Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining
Artificial neural network approach for fault detection in rotary system
Multi-step ahead time series forecasting via sparse coding and dictionary based techniques
Application of neural networks and genetic algorithms to the screening for high quality chips
Terminal voltage prediction of Li-Ion batteries using Combined Neural Network and Teaching Learning Based Optimization algorithm
A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming
Fuzzy dynamic MCDM method based on PRSRV for financial risk evaluation of new energy vehicle industry
CPBUM neural networks for modeling with outliers and noise
Joint SPIHT compression and selective encryption
Facial expression recognition using iterative universum twin support vector machine
Multi-objective missile boat scheduling problem using an integrated approach of NSGA-II, MOEAD, and data envelopment analysis
Continual relation extraction model based on memory sample selection and historical feature refinement
Uniforming the dimensionality of data with neural networks for materials informatics
Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes
An evidence theory-based large group FMEA framework incorporating bounded confidence and its application in supercritical water gasification system
A two-phased and Ensemble scheme integrated Backpropagation algorithm
A novel particle swarm optimizer hybridized with extremal optimization
Crack detection in X-ray images using fuzzy index measure
A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
AutoML technologies for the identification of sparse classification and outlier detection models
A modified symbiotic organisms search (mSOS) algorithm for optimization of pin-jointed structures
Partial differential equations and machine learning integration for transit-oriented development
Machine learning based simulation optimisation for urban routing problems
Dynamic response of imprecisely defined beam subject to various loads using Adomian decomposition method
Overall aerodynamic performance of the airfoils with different amplitudes via a fuzzy decision making based Taguchi methodology
Intrusion detection technique based on flow aggregation and latent semantic analysis
A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting
Auction-based deep learning-driven smart agricultural supply chain mechanism
Corrigendum to "Least learning machine and its experimental studies on regression capability" [Applied Soft Computing 21 (2014) 677-684]
Design of low cost universal artificial neuron controller for chopper fed embedded DC drives
An extension of ARAS methodology under Interval Valued Intuitionistic Fuzzy environment for Digital Supply Chain
Piecewise combinatorial particle swarm optimization
A Temporal-Spatial network embedding model for ICT supply chain market trend forecasting
A combined hesitant fuzzy MCDM approach for supply chain analytics tool evaluation
A genetic algorithm using priority-based encoding with new operators for fixed charge transportation problems
A bi-objective batch processing problem with dual-resources on unrelated-parallel machines
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane
Superiority combination learning distributed particle swarm optimization for large-scale optimization
Attributed multi-objective comprehensive learning particle swarm optimization for optimal security of networks
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
Efficient and rapid attribute reduction based on local T-spherical fuzzy granular ball neighborhood rough sets
Chaotic dynamic characteristics in swarm intelligence
End-to-end dimensionality reduction and regression from 3D geological uncertainties to estimate oil reservoir simulations
Decomposition methods for linear dynamic systems: data decomposition and parameter vector decomposition
A comprehensive survey on interactive evolutionary computation in the first two decades of the 21st century