yusuke1997/dblp-id-title huggingface dataset:
A novel hybrid model combining βSARMA and LSTM for time series forecasting
Use of conditional generative adversarial networks to create demographic collaborative filtering datasets
A Bayesian network learning method for sparse and unbalanced data with GNN-based multilabel classification application
Deep generative approaches for oversampling in imbalanced data classification problems: A comprehensive review and comparative analysis
An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics
Optimizing sustainable desalination plants with advanced ML-based uncertainty analysis
Prey predator hyperheuristic
A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems
GRASP with Evolutionary Path Relinking for the conditional p-Dispersion problem
Building a fuzzy sentiment dimension for multidimensional analysis in social networks
A risk-averse decision based on IGDT/stochastic approach for smart distribution network operation under extreme uncertainties
Linguistic value soft set-based approach to multiple criteria group decision-making
Adaptive differential evolution algorithm for efficient reactive power management
Classical and fuzzy-genetic autopilot design for unmanned aerial vehicles
Financial transaction fraud detector based on imbalance learning and graph neural network
A novel framework for phishing attack detection using domain-adapted GloVe embeddings and attention-enhanced neural sequence model
Portfolio optimization with mental accounts under uncertain random environment and butterfly optimization algorithm with adaptive strategies
Feature distillation Siamese networks for object tracking
The application of one rank cuckoo search algorithm for solving economic load dispatch problems
Reservoir flood control operation using multi-objective evolutionary algorithm with decomposition and preferences
Sparse feature selection: Relevance, redundancy and locality structure preserving guided by pairwise constraints
Robust kidney carcinoma prognosis and characterization using Swin-ViT and DeepLabV3+ with multi-model transfer learning
Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms
A hybrid genetic algorithm for constrained multi-objective optimization under uncertainty and target matching problems
A decomposition-based multi-objective optimization approach considering multiple preferences with robust performance
Multiobjective fireworks optimization for variable-rate fertilization in oil crop production
A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique
Ensemble selector for attribute reduction
A granular deep learning approach for predicting energy consumption
An uncertainty-managing batch relevance-based approach to network anomaly detection
A hybrid genetic algorithm for the minimum energy broadcast problem in wireless ad hoc networks
Ratio-based similarity analysis and consensus building for group decision making with interval reciprocal preference relations
Visual question answering via Attention-based syntactic structure tree-LSTM
Tissue classification in magnetic resonance images through the hybrid approach of Michigan and Pittsburg genetic algorithm
An improved multi-objective evolutionary algorithm for the low-carbon flexible job shop scheduling with automated guided vehicles
A genetic algorithm to refine input data selection for air temperature prediction using artificial neural networks
Pattern classification by multi-layer perceptron using fuzzy integral-based activation function
A reinforcement agent for threshold fusion
Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites
Colony-Based Search Algorithm for numerical optimization
Financial market prediction under deep learning framework using auto encoder and kernel extreme learning machine
Closed-loop multi-objective waste management through vehicle routing problem in neutrosophic hesitant fuzzy environment
Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers
A reservoir computing model based on nonlinear spiking neural P systems for time series forecasting
Rule-based meta-heuristics for integrated scheduling of unrelated parallel machines, batches, and heterogeneous delivery trucks
A GRASP-VND algorithm to solve the multi-objective fuzzy and sustainable Tourist Trip Design Problem for groups
RCFI-Net: A reliable correspondences evaluation and feature interaction network for fast and accurate point cloud registration
Probabilistic modeling and visualization for bankruptcy prediction
Document page segmentation using neuro-fuzzy approach
A Dual-Channel Collaborative Transformer for continual learning
A clustering-based extended genetic algorithm for the multidepot vehicle routing problem with time windows and three-dimensional loading constraints
An extended teaching-learning based optimization algorithm for solving no-wait flow shop scheduling problem
A memory-based Grey Wolf Optimizer for global optimization tasks
An interactive genetic algorithm with the interval arithmetic based on hesitation and its application to achieve customer collaborative product configuration design
A categorized information fusion model for reliable services delivery in smart cities
Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
An adaptive recurrent fuzzy system for nonlinear identification
Optimized task scheduling approach with fault tolerant load balancing using multi-objective cat swarm optimization for multi-cloud environment
Prediction interval of wind power using parameter optimized Beta distribution based LSTM model
Linguistic majorities with difference in support
Observer-based method for synchronization of uncertain fractional order chaotic systems by the use of a general type-2 fuzzy system
Semantics aware adversarial malware examples generation for black-box attacks
Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components
Symbiotic organisms search algorithm for optimal evolutionary controller tuning of fractional fuzzy controllers
Sensorless force estimation of teleoperation system based on multilayer depth Extreme Learning Machine
Effective coordination settings for directional overcurrent relay using hybrid Gradient-based optimizer
Energy-efficient face detection and recognition scheme for wireless visual sensor networks
Artificial Bee optimization aided joint user association and resource allocation in HCRAN
TSK fuzzy model with minimal parameters
Swarm intelligence based techniques for digital filter design
NOE TS fuzzy modelling of nonlinear dynamic systems with uncertainties using symbolic interval-valued data
Efficient construction of an approximate similarity graph for minimum spanning tree based clustering
Enzyme classification integrating LSTM and Prot-BERT sequence encoding
Convergence analysis and performance of an improved gravitational search algorithm
Graph clustering using k-Neighbourhood Attribute Structural similarity
Global optimality of approximate dynamic programming and its use in non-convex function minimization
Performance investigation of ABC algorithm in multi-area power system with multiple interconnected generators
Unmanned aerial vehicle takeoff point search algorithm with information sharing strategy of random trees for multi-area coverage task
TCBR-HMM: An HMM-based text classifier with a CBR system
Application of reinforcement learning for security enhancement in cognitive radio networks
Binomial adversarial representation learning for machinery fault feature extraction and diagnosis
Quaternion-based Deep Belief Networks fine-tuning
Hybrid BBO_PSO and higher order spectral features for emotion and stress recognition from natural speech
A convergence theorem and an experimental study of intuitionistic fuzzy c-mean algorithm over machine learning dataset
A dual-layer state space network for Multivariate Time Series Forecasting with dimensional interdependency
Semantic differences and psychological behavior in multi-criteria group decision-making: Do they need consideration?
Motion-encoded particle swarm optimization for moving target search using UAVs
A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918]
A binary dandelion algorithm using seeding and chaos population strategies for feature selection
An Information Maximization Multi-task Clustering Method for egocentric temporal segmentation
A new training scheme for neural networks and application in non-linear channel equalization
Finding Longest Common Subsequences: New anytime A∗ search results
Learned Action SLAM: Sharing SLAM through learned path planning information between heterogeneous robotic platforms
Defect prediction for Cascading Style Sheets
Developing a hybrid circular intuitionistic fuzzy framework to assess tourism 5.0 challenges
A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors
Integrating AR-SVR and distortion risk measures for mortality risk forecasting
A unified machine learning framework for basketball team roster construction: NBA and WNBA
Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion
Symbolic interpretation of artificial neural networks based on multiobjective genetic algorithms and association rules mining
LSPI: Heterogeneous graph neural network classification aggregation algorithm based on size neighbor path identification
Robust adaptive fuzzy control of unknown chaotic systems
In-depth analysis and simulation study of an innovative fuzzy approach for ranking alternatives in multiple attribute decision making problems based on TOPSIS
Learning where to look for COVID-19 growth: Multivariate analysis of COVID-19 cases over time using explainable convolution-LSTM
Application reviews
Simultaneous optimization of cluster head selection and inter-cluster routing in wireless sensor networks using a 2-level genetic algorithm
Dynamic dominance-based three-way decision approach in incomplete hybrid ordered data under variation of attribute values
An EEG-based single-channel dual-stream automatic sleep staging network with transfer learning
Solving economic emission load dispatch problems using hybrid differential evolution
A modified ant colony system for finding the expected shortest path in networks with variable arc lengths and probabilistic nodes
A knowledge based fuzzy-probabilistic roadmap method for mobile robot navigation
Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs
Automatic and non-invasive Parkinson's disease diagnosis and severity rating using LSTM network
Particle swarm optimization with an aging leader and challengers algorithm for the solution of optimal power flow problem
Mission planning on preference-based expression trees using heuristics-assisted evolutionary computation
Research on multi-view clustering algorithm based on sequential three-way decision
Quantum healthcare computing using precision based granular approach
Multi-relational graph reinforcement learning for dynamic flexible job-shop scheduling under machine breakdowns
Preface to the special issue on soft computing for time series prediction
Hamiltonian path based image steganography scheme with improved imperceptibility and undetectability
Metaverse and microorganism digital twins: A deep transfer learning approach
Impact of wind farms on disturbance detection and classification in distributed generation using modified Adaline network and an adaptive neuro-fuzzy information system
A capacitated location-allocation problem with stochastic demands using sub-sources: An empirical study
DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors
Adaptive constrained multi-objective differential evolution algorithm for vehicle routing problem considering crowdsourcing delivery
Dynamic Gaussian mutation beetle swarm optimization method for large-scale weapon target assignment problems
An artificial bee colony algorithm for multi-objective optimisation
An Iterated Tabu Search Metaheuristic for the Regenerator Location Problem
A new pruning method for extreme learning machines via genetic algorithms
Analysis of gene microarray data in a soft computing framework
Regret theory-based fuzzy multi-objective portfolio selection model involving DEA cross-efficiency and higher moments
A bipolar fuzzy p-competition graph based ARAS technique for prioritizing COVID-19 vaccines
Improving lightweight semi-supervised text classification via teacher intervention
An analytical solution to fuzzy TOPSIS and its application in personnel selection for knowledge-intensive enterprise
Credibilistic portfolio optimization with higher-order moments using coherent triangular fuzzy numbers
Unit commitment considering generator outages through a mixed-integer particle swarm optimization algorithm
Classification-enhancement deep hashing for large-scale video retrieval
A Giza Pyramids Construction metaheuristic approach based on upper bound calculation for solving the network reliability problem
A typhoon trajectory prediction model based on multimodal and multitask learning
Target temperature field prediction via a thermodynamic knowledge-based artificial neural network
Scalable fuzzy multivariate outliers identification towards big data applications
Emission reduction investment for green products of a manufacturing system via optimal control theory and artificial hummingbird algorithm
Multi-objective cooperation search algorithm based on decomposition for complex engineering optimization and reservoir operation problems
Using pairwise precedences for solving the linear ordering problem
Multilinear clustering via tensor Fukunaga-Koontz transform with Fisher eigenspectrum regularization
An intelligent chaotic clonal optimizer
Evolving routing and sequencing policies for dynamic vehicle routing problem with time windows
Grammatical Evolution for automatic design of actuated traffic signal control plans
Modified hybrid bat algorithm with genetic crossover operation and smart inertia weight for multilevel image segmentation
A modified ant system to achieve better balance between intensification and diversification for the traveling salesman problem
A new customized document categorization scheme using rough membership
Hybrid Artificial Bee Colony algorithm with Differential Evolution
Multiobjective differential evolution in the optimization of topological active models
Benchmark for the scheduling problems of airport ground support operations and a case study
Robust fuzzy clustering algorithms in analyzing high-dimensional cancer databases
Duo-LDL method for Label Distribution Learning based on pairwise class dependencies
An adaptive-learning-based genetic algorithm for collaborative scheduling of distributed operating rooms
Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problems
A hybrid decision making approach to prevent chatter vibrations
Zero-carbon measure prioritization for sustainable freight transport using interval 2 tuple linguistic decision approaches
Multi-population biogeography-based optimization algorithm and its application to image segmentation
Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot
EMPSO-based optimization for inter-temporal multi-product revenue management under salvage consideration
Oriented to a multi-learning mode: Establishing trend-fuzzy-granule-based LSTM neural networks for time series forecasting
Multiobjective PSO based adaption of neural network topology for pixel classification in satellite imagery
System for adaptive extraction of non-invasive fetal electrocardiogram
Extended belief rule-based system with online joint learning strategy
DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images
Symbolic regression in dynamic scenarios with gradually changing targets
A multi-discipline predictive intelligent control method for maintaining the thermal comfort on indoor environment
Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation
An oversampling method based on differential evolution and natural neighbors
Multi-objective optimization in wire-electro-discharge machining of TiC reinforced composite through Neuro-Genetic technique
Semantic segmentation of point clouds in complex farm scenes for agricultural machinery autonomous operation
A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production
Dynamic pricing and energy management for shore side electricity in a port microgrid: A deep reinforcement learning approach
A systematic clinical healthcare model for assessing post-pandemic recovery in heart diagnosis
Intelligent energy prediction techniques for fog computing networks
Differential evolution based on covariance matrix learning and bimodal distribution parameter setting
Towards improved multifactorial particle swarm optimization learning of fuzzy cognitive maps: A case study on air quality prediction
A Dynamic Ensemble Learning Algorithm based on K-means for ICU mortality prediction
A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data
Efficient solution algorithms for a time-critical reliable transportation problem in multigraph networks with FIFO property
New methods for system planning
Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization
Hybrid bio-inspired techniques for land cover feature extraction: A remote sensing perspective
Artificial neural network model for voltage security based contingency ranking
Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms
Prediction of lateral confinement coefficient in reinforced concrete columns using neural network simulation
Multi-modal kernel ridge regression for social image classification
An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles
A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions
A performance-driven multi-stage KNN approach for local adaptive classification
Real-time particle swarm optimization based parameter identification applied to permanent magnet synchronous machine
Efficient and effective ensemble broad learning system based on structural diversity
Solving minimum constraint removal (MCR) problem using a social-force-model-based ant colony algorithm
Lithium-ion battery health assessment method based on belief rule base with interpretability
The Primitive Cognitive Network Process in healthcare and medical decision making: Comparisons with the Analytic Hierarchy Process
Evaluating regional green industry competitiveness in China: A CoSOGR-MABAC-sort framework
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction
The context-based distance measure for intuitionistic fuzzy set with application in marine energy transportation route decision making
Application of internal model control methods to industrial combustion
On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function
LAMNet: Fine-grained few-shot image classification with LLM-assisted multi-modal learning for urban biodiversity monitoring
Classification of malware for security improvement in IoT using heuristic aided adaptive multi-scale and dilated ResneXt with gated recurrent unit
A new method of ranking parametric form of fuzzy numbers using value and ambiguity
A novel GA-ELM model for patient-specific mortality prediction over large-scale lab event data
Combining genetic algorithm and Taylor series expansion approach for DOA estimation in space-time CDMA systems
Spam filtering using a logistic regression model trained by an artificial bee colony algorithm
A relax-and-fix Pareto-based algorithm for a bi-objective vaccine distribution network considering a mix-and-match strategy in pandemics
Dynamic path planning of autonomous bulldozers using activity-value-optimised bio-inspired neural networks and adaptive cell decomposition
Data-driven evolutionary algorithms based on initialization selection strategies, POX crossover and multi-point random mutation for flexible job shop scheduling problems
Discrete firefly algorithm with compound neighborhoods for asymmetric multi-depot vehicle routing problem in the maintenance of farm machinery
Multi-period uncertain portfolio optimization model with minimum transaction lots and dynamic risk preference
Ensemble feature selection using q-rung orthopair hesitant fuzzy Hamacher, Einstein and Dombi Aggregation operators
Radial basis function neural network-based adaptive critic control of induction motors
A rapid fuzzy rule clustering method based on granular computing
Forecasting the monthly iron ore import of China using a model combining empirical mode decomposition, non-linear autoregressive neural network, and autoregressive integrated moving average
Multi-operator communication based differential evolution with sequential Tabu Search approach for job shop scheduling problems
Semi-parametric partially logistic regression model with exact inputs and intuitionistic fuzzy outputs
Stacking-based heterogeneous genetic programming for interpretable credit risk evaluation
A neural networks approach to image data compression
Tracklet-switch and imperceivable adversarial attack against pedestrian Multi-Object Tracking trackers
Railway freight transportation planning with mixed uncertainty of randomness and fuzziness
MEANDS: A Many-objective Evolutionary Algorithm based on Non-dominated Decomposed Sets applied to multicast routing
Application of a combined fuzzy multiple criteria decision making and optimization programming model to the container transportation demand split
Applying particle swarm optimization-based decision tree classifier for cancer classification on gene expression data
Dynamic local search based immune automatic clustering algorithm and its applications
A hybrid deep learning framework for detecting grape leaf diseases by integrating ResNeSt-50 and CBAM attention into DeepLabv3 +
BerConvoNet: A deep learning framework for fake news classification
A fusion-based approach to improve hyperspectral images' classification using metaheuristic band selection
Optimized Seq2Seq model based on multiple methods for short-term power load forecasting
An adaptive fuzzy predictive control of nonlinear processes based on Multi-Kernel least squares support vector regression
Evaluation of stator winding faults severity in inverter-fed induction motors
Application of integrated soft computing techniques for optimisation of hybrid CO 2 laser-MIG welding process
Implementation of roulette wheel and random selection methods in a hybrid intelligent system: A comparison study for two Islands and Subway distributions considering different router replacement methods
Novel stratified algorithms for sustainable decision-making under uncertainty: MOSDM and SSDM
Optimizing ore-waste discrimination and block sequencing through simulated annealing
A new semantic-based feature selection method for spam filtering
A neural priority model for agile earth observation satellite scheduling using deep reinforcement learning
Soft Computing for Intelligent Edge Computing
Credit risk assessment method driven by asymmetric loss function
Effective anti-submarine decision support system based on heuristic rank-based Dijkstra and adaptive threshold partitioning mechanism
A cascade evolutionary algorithm for the bodyguard allocation problem
Fuzzy sets in machine learning and data mining
Frequency-aware deep networks and patch-wise generative adversarial training for single image super-resolution in wavelet domain
Exact Dynamic Time Warping calculation for weak sparse time series