yusuke1997/dblp-id-title huggingface dataset:
Alzheimer's disease recognition with a multi-scale feature fusion network based on embedding attention maps
Twinning quality sensors in wastewater treatment process via optimized echo state network-based soft sensors
Effects of diagram plane on neural network based modulation recognition
Editorial Soft Computing Applied to Swarm Robotics
Time sequence data mining using time-frequency analysis and soft computing techniques
An improved harmony search based energy-efficient routing algorithm for wireless sensor networks
Multi-site post-processing of numerical forecasts using a polynomial network substitution for the general differential equation based on operational calculus
Parallel cooperative multiobjective coevolutionary algorithm for constrained multiobjective optimization problems
Dynamic multi-objective evolution of classifier ensembles for video face recognition
Structural block driven enhanced convolutional neural representation for relation extraction
Design of a grey-prediction self-organizing fuzzy controller for active suspension systems
Dual hesitant fuzzy set in multi-objective transportation problems in time sequence frame work
Conflict resolution in the multi-stakeholder stepped spillway design under uncertainty by machine learning techniques
Reliable Type 2 Fuzzy Min-Max neural networks for pattern classification
Time-frequency masking based supervised speech enhancement framework using fuzzy deep belief network
DJAYA: A discrete Jaya algorithm for solving traveling salesman problem
Sustainable resilient recycling partner selection for urban waste management: Consolidating perspectives of decision-makers and experts
1-Norm twin random vector functional link networks based on Universum data for leaf disease detection
Surrogate-adjoint refine based global optimization method combining with multi-stage fuzzy clustering space reduction strategy for expensive problems
Particle Swarm Optimization inspired by starling flock behavior
Twin trigger generative networks for backdoor attacks against real-time object detection
A memetic algorithm applied to trajectory control by tuning of Fractional Order Proportional-Integral-Derivative controllers
Recognition of Egyptian hieroglyphic texts through focused generic segmentation and cross-validation voting
Ensemble of classification models with weighted functional link network
Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method
Ribonucleic-Acid protein interaction prediction based on deep learning: A comprehensive survey
Nonlinear multiscale Maximal Lyapunov Exponent for accurate myoelectric signal classification
An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposes
Transcendental equation solver: A novel neural network for solving transcendental equation
Direct and indirect design prediction in genetic algorithm for inverse design problems
Evolutionary algorithms for de novo drug design - A survey
A robust neuro-fuzzy network approach to impulse noise filtering for color images
A scheduling algorithm based on reinforcement learning for heterogeneous environments
Bee-foraging learning particle swarm optimization
Using image conversion techniques to detect adversarial examples in machine learning models for tabular data
Multi-objective green 4-dimensional transportation problems for damageable items through type-2 fuzzy random goal programming
A metric for Filter Bubble measurement in recommender algorithms considering the news domain
Linear guided autoencoder: Representation learning with linearity
Spam bot detection on Twitter platform using positional attention based dense convolutional neural network
Multilevel-evolutionary population P systems and applications in tumor segmentations
Parting curve selection and evaluation using an extension of fuzzy MCDM approach
Biogeography and geo-sciences based land cover feature extraction
Single image and video generation using a receptive diffusion model with convolutional spatiotemporal blocks
Modelling time-series data generation with diffusion models for triaxial data
An improved hybrid ant particle optimization (IHAPO) algorithm for reducing travel time in VANETs
Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm
GA based construction of maximin latin hypercube designs for uncertainty design of experiment with dynamic strategy management
Supply chain design to tackle coronavirus pandemic crisis by tourism management
Solving multi-depot electric vehicle scheduling problem by column generation and genetic algorithm
Incomplete multi-view feature selection with adaptive consensus graph constraint for Parkinson's disease diagnosis
Multi-item partial backlogging inventory models over random planninghorizon in random fuzzy environment
Probability granular distance-based fuzzy rough set model
Across-scale process similarity based interpolation for image super-resolution
Using objective reduction and interactive procedure to handle many-objective optimization problems
A hybrid artificial bee colony for a nurse rostering problem
Integrated intelligent computing paradigm for the dynamics of micropolar fluid flow with heat transfer in a permeable walled channel
Image hiding using invertible neural network and similarity of bits pairs
Ensemble reinforcement learning: A survey
Smart manufacturing investment strategies with renewable energy efficiency using Q-learning algorithm and molecular fuzzy Bayesian networks
Influence-aware graph neural networks
Optimized spatial filters as a new method for mass spectrometry-based cancer diagnosis
Evidential grammars: A compositional approach for scene understanding. Application to multimodal street data
Finding groups in data: Cluster analysis with ants
Many-objective multilevel thresholding image segmentation for infrared images of power equipment with boost marine predators algorithm
A dynamic model selection strategy for support vector machine classifiers
Solving 0-1 knapsack problem by a novel global harmony search algorithm
A personality-guided preference aggregator for ephemeral group recommendation
Fuzzy multi-objective multi-item five dimensional transportation problem: A case study of milk transportation problem
Digital-twin-enabled online wrinkling monitoring of metal tube bending manufacturing: A multi-fidelity approach using forward-convolution-GAN
A double attention graph network for link prediction on temporal graph
Dual adversarial network with meta-learning for domain-generalized few-shot text classification
Assessing mathematics learning achievement using hybrid rough set classifiers and multiple regression analysis
Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA)
Inspired lightweight robust quantum Q-learning for smart generation control of power systems
An interval-valued spherical fuzzy CIMAS-WISP group decision-analytic model for blockchain platform selection in digital projects
Multi-strategy active learning for power quality disturbance identification
A tree-structured random walking swarm optimizer for multimodal optimization
Research on feature selection for rotating machinery based on Supervision Kernel Entropy Component Analysis with Whale Optimization Algorithm
Uncertainty-driven active view planning in feature-based monocular vSLAM
Image thresholding segmentation method based on minimum square rough entropy
Smart water conservation through a machine learning and blockchain-enabled decentralized edge computing network
Community-based anomaly detection using spectral graph filtering
Identification of switching linear systems using self-organizing models with application to silicon prediction in hot metal
Predicting the effectiveness of pattern-based entity extractor inference
Spatial-temporal analysis and trend prediction of regional crop disease based on electronic medical records
An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows
A modified firefly algorithm for global minimum optimization
Post-earthquake infectious disease risk assessment approach using AHP and MULTIMOORA with decomposed fuzzy sets
CodnNet: A lightweight CNN architecture for detection of COVID-19 infection
The distance and entropy measures-based intuitionistic fuzzy C-means and similarity matrix clustering algorithms and their applications
Supply chain trust diagnosis (SCTD) using inductive case-based reasoning ensemble (ICBRE): The case of general competence trust diagnosis
A multiobjective approach to MR brain image segmentation
Improving explainable AI in attributing hydrological responses to climate variabilities in snow-dominated watersheds
Feature selection using correlation fractal dimension: Issues and applications in binary classification problems
Multi-objective differential evolution algorithm integrating a directional generation mechanism for multi-objective optimization problems
EGMM: An evidential version of the Gaussian mixture model for clustering
Clustering terms in the Bayesian network retrieval model: a new approach with two term-layers
Bayesian learning based elitist nondominated sorting algorithm for a kind of multi-objective integrated production scheduling and transportation problem
Numerical solution of PDEs via integrated radial basis function networks with adaptive training algorithm
Development of PCA-based cluster quantile regression (PCA-CQR) framework for streamflow prediction: Application to the Xiangxi river watershed, China
Predicting population size and termination criteria in metaheuristics: A case study based on spotted hyena optimizer and crow search algorithm
Enhancing EEG-based individual-generic emotion recognition through invariant sparse patterns extracted from ongoing affective processes
An improved ant colony optimization for scheduling identical parallel batching machines with arbitrary job sizes
A fuzzy coherent rule mining algorithm
An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures
Hosting capacity of low-voltage grids for distributed generation: Classification by means of machine learning techniques
Feature selection for single cell RNA sequencing data based on a noise-robust fuzzy relation and fuzzy evidence theory
SUFEMO: A superpixel based fuzzy image segmentation method for COVID-19 radiological image elucidation
A three-way utility decision model with multi-label based on fuzzy neighborhood environments
A computationally efficient approximation calculation method in dominance-based rough set approach
Attention-based dynamic user preference modeling and nonlinear feature interaction learning for collaborative filtering recommendation
A soft-computing based approach to overlapped cells analysis in histopathology images with genetic algorithm
FLF-LSTM: A novel prediction system using Forex Loss Function
Quality time-of-flight range imaging for feature-based registration using bacterial foraging
Binary biogeography-based optimization based SVM-RFE for feature selection
Multi-criteria decision-making framework for large-scale rooftop photovoltaic project site selection based on intuitionistic fuzzy sets
DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking
Rule-based models via the axiomatic fuzzy set clustering and their granular aggregation
A label based ant colony algorithm for heterogeneous vehicle routing with mixed backhaul
An integrated approach to bearing prognostics based on EEMD-multi feature extraction, Gaussian mixture models and Jensen-Rényi divergence
Immune-inspired incremental feature selection technology to data streams
Observers for biological systems
An innovative TOPSIS approach based on hesitant fuzzy correlation coefficient and its applications
Solving the regenerator location problem with an iterated greedy approach
Financial time-series analysis with rough sets
Building automated negotiating agent with offline-to-online deep reinforcement learning
Q-learning guided mutational Harris hawk optimizer for high-dimensional gene data feature selection
Weighted classification of deep and traditional histogram-based features with kernel representation for robust facial expression recognition
Modeling project time-cost trade-off in fuzzy random environment
Multi-objective and constrained optimization for DS-CDMA code design based on the clonal selection principle
Application of case-based reasoning in a fault detection system on production of drippers
Deep insights into cognitive decline: A survey of leveraging non-intrusive modalities with deep learning techniques
A knowledge-driven fuzzy logic framework for supporting decision-making entities
The Vehicle Routing Problem with Cross-Docking and Scheduling at the Docking Station: Compact formulation and a General Variable Neighborhood Search metaheuristic
Large-scale group classification decision making method and its application with trust-interest dual factors in social network
SGBM_YOLO: A high-precision obstacle detection algorithm for assistive navigation based on stereo vision and spatial attention mechanism
Comparing ANN and GMM in a voice conversion framework
Consensus-based generalized TODIM approach for occupational health and safety risk analysis with opinion interactions
A multi-head attention neural network with non-linear correlation approach for time series causal discovery
k-mw-modes: An algorithm for clustering categorical matrix-object data
Solution of an EPQ model for imperfect production process under game and neutrosophic fuzzy approach
Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting
Knowledge graph-driven mountain railway alignment optimization integrating karst hazard assessment
Fusion of data-driven models with a knowledge-guided loss function for flood forecasting
Manipulator trajectory planning using a MOEA
Deep learning techniques for suicide and depression detection from online social media: A scoping review
An evolutionary approach to preference disaggregation in a MURAME-based creditworthiness problem
Aggregating linguistic expert knowledge in type-2 fuzzy ontologies
Generation of black-box adversarial attacks using many independent objective-based algorithm for testing the robustness of deep neural networks
Finding robust influential seeds from networked systems against structural failures using a niching memetic algorithm
Reinforcement learning based coarse-to-fine search for the maximum k-plex problem
Multi-scale implicit diffusion model with high-frequency uncertainty guidance and global structure consistency
Contextual recommender system for E-commerce applications
A parallel Seq2Seq neural architecture for long-horizon performance forecasting and online condition monitoring of fuel cells
On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems
Multi-objective group learning algorithm with a multi-objective real-world engineering problem
An improved non-dominated sorting biogeography-based optimization algorithm for the (hybrid) multi-objective flexible job-shop scheduling problem
2-stage modified random forest model for credit risk assessment of P2P network lending to "Three Rurals" borrowers
Stochastic consensus for uncertain multiple attribute group decision-making problem in belief distribution environment
TSO-GCN: A Graph Convolutional Network approach for real-time and generalizable truss structural optimization
Union nonparallel support vector machines framework with consistency
A comparison of different metaheuristics for the quadratic assignment problem in accelerated systems
Neural architecture search via similarity adaptive guidance
An organ allocation system for liver transplantation based on ordinal regression
Multi-semantic fusion of heterogeneous graph neural network
A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment
A hybrid binary grey wolf optimizer for selection and reduction of reference points with extreme learning machine approach on local GNSS/leveling geoid determination
Evolution strategies and multi-objective optimization of permanent magnet motor
Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath-Geva clustering algorithm without principal component analysis and data label
Modeling the factors affecting unsafe behaviors using the fuzzy best-worst​ method and fuzzy cognitive map
A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices
Dual-stream fusion network with multi-head self-attention for multi-modal fake news detection
Hierarchical tri-level optimization model for effective use of by-products in a sugarcane supply chain network
A stacked ensemble forecast for photovoltaic power plants combining deterministic and stochastic methods
Evolving graph convolutional network with transformer for CT segmentation
The multi-criteria group decision making methodology using type 2 fuzzy linguistic judgments
Volatility prediction of high-frequency data based on deep feature extraction and fusion: An interpretable deep learning architecture
A structural knowledge-based proposal for the identification and characterization of apnoea episodes
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees
A multiobjective bilevel approach based on global-best harmony search for defining optimal routes and frequencies for bus rapid transit systems
Soft cosine and extended cosine adaptation for pre-trained language model semantic vector analysis
A model for failure mode and effects analysis based on intuitionistic fuzzy approach
Randomized processes to create diverse models for One-class classifier ensembles
Parallel stochastic configuration networks for large-scale data regression
Scrutinizing blockchain applicability in sustainable supply chains through an integrated fuzzy multi-criteria decision making framework
Link prediction in bipartite networks via deep autoencoder-like nonnegative matrix factorization
A decomposition-based hybrid multiobjective evolutionary algorithm with dynamic resource allocation
Fuzzy based genetic neural networks for the classification of murder cases using Trapezoidal and Lagrange Interpolation Membership Functions
New interactive agent based reinforcement learning approach towards smart generator bidding in electricity market with micro grid integration
Joint optimization of empty container repositioning and inventory control applying dynamic programming and simulated annealing
A minimum centre distance rule activation method for extended belief rule-based classification systems
Growing Self-Organizing Map with cross insert for mixed-type data clustering
Multi-objective community detection in complex networks
Soft computing methods applied to train station parking in urban rail transit
Cybersecurity-aware log management system for critical water infrastructures
Intelligent compressive strength prediction of sustainable rubberised concrete using an optimised interpretable deep CNN-LSTM model with attention mechanism
Oil project selection in Iran: A hybrid MADM approach in an uncertain environment
Design of a fuzzy controller in mobile robotics using genetic algorithms
Variable-Order Ant System for VLSI multiobjective floorplanning
A multivariable predictive fuzzy PID control system
An adaptive differential evolution algorithm with population size reduction strategy for unconstrained optimization problem
Obstacle detection and autonomous ground vehicle navigation using Intelligent Deep Learning-based Swarm (IDLS) model
Artificial bee colony algorithm with memory
Combinatorial optimization for UAV swarm path planning and task assignment in multi-obstacle battlefield environment
Corrigendum to "A new hybrid SSA-TA: Salp Swarm Algorithm with threshold accepting for band selection in hyperspectral images" [Appl. Soft Comput. 95 (2020) 106534]
A hybrid system for forecasting 24-h power load profile for Polish electric grid
Model-optimization-guided neural network (MOGNN) applied to chemical processes
Regularized continuous estimation of distribution algorithms
A multi-criteria procedure in new product development using different qualitative scales
Distributed actor-critic method for multi-objective resource-aware neural architecture search
A multi-objective evolutionary algorithm based QoS routing in wireless mesh networks
An investigation on the generality level of selection hyper-heuristics under different empirical conditions
A priority-based self-guided serial-parallel genetic algorithm for low-dose computed tomography
Predictions of oil/chemical tanker main design parameters using computational intelligence techniques
Online rescue method based on offline learning of dynamics knowledge for launch vehicles under thrust-drop fault
MO-PaDGAN: Reparameterizing Engineering Designs for augmented multi-objective optimization
Decentralized and robust privacy-preserving model using blockchain-enabled Federated Deep Learning in intelligent enterprises
Towards an effective model for lung disease classification: Using Dense Capsule Nets for early classification of lung diseases
Learning to extract robust handcrafted features with a single observation via evolutionary neurogenesis
A GA-weighted ANFIS model based on multiple stock market volatility causality for TAIEX forecasting
Minimizing makespan in two-stage assembly additive manufacturing: A reinforcement learning iterated greedy algorithm
Optimal scale Gaussian process regression model in Insulated Gate Bipolar Transistor remaining life prediction
Aggregation operators in economic growth analysis and entrepreneurial group decision-making
Multi-objective nature-inspired clustering and classification techniques for image segmentation
A multi-objective fitness dependent optimizer for workflow scheduling
Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm
Erratum to "A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection" [Appl. Soft Comput. 21(2014) 194-209]
Optimized tool path planning for five-axis flank milling of ruled surfaces using geometric decomposition strategy and multi-population harmony search algorithm
Hyperspectral band selection based on multi-objective optimization with high information and low redundancy
Interval type-2 fuzzy PID load frequency controller using Big Bang-Big Crunch optimization
A robust Markov game controller for nonlinear systems
An integrated approach to predict scalar fields of a simulated turbulent jet diffusion flame using multiple fully connected variational autoencoders and MLP networks
Multi-sensor data fusion method based on divergence measure and probability transformation belief factor
Transboundary water resource allocation under drought emergencies: A multistage bilevel programming model considering decision-makers' risk perception
An artificial fish swarm optimization algorithm for the urban transit routing problem
SICTQUAL: A fuzzy linguistic multi-criteria model to assess the quality of service in the ICT sector from the user perspective
Genetic Algorithm with adaptive elitist-population strategies for multimodal function optimization
Probabilistic linguistic carpooling matching decision-making considering time satisfaction based on prospect theory
An optimized classifier chains-based deep learning framework for Inter-Turn Fault diagnosis in Permanent Magnet Synchronous Motors
Composite artificial bee colony algorithms: From component-based analysis to high-performing algorithms
A Double-Adaptive General Variable Neighborhood Search algorithm for the solution of the Traveling Salesman Problem
Development of Pareto-based evolutionary model integrated with dynamic goal programming and successive linear objective reduction
Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification