yusuke1997/dblp-id-title huggingface dataset:
An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features
Yellow Swarm: LED panels to advise optimal alternative tours to drivers in the city of Malaga
An efficiency-based interval type-2 fuzzy multi-criteria group decision making for makeshift hospital selection
Letter: On non-iterative learning algorithms with closed-form solution
A fuzzy decision-making approach for testing activity prioritisation and its application in an engine company
A hybrid attention-enhanced text-guided crowd counting method
Crafting imperceptible on-manifold adversarial attacks for tabular data
Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions
Combination weighting method using Z-numbers for multi-criteria decision-making
Association mining based deep learning approach for financial time-series forecasting
The bi-long short-term memory based on multiscale and mesoscale feature extraction for electric load forecasting
Comparative empirical study on constraint handling in offline data-driven evolutionary optimization
A hybrid intelligent model for network selection in the industrial Internet of Things
Evolving soft subspace clustering
An interpretable dual-output multivariate wind speed interval prediction scheme using hyper-heuristic optimization algorithm and deep neural networks
A reinforcement learning-assisted multi-objective evolutionary algorithm for generating green change plans of complex products
A new algorithm based on gray wolf optimizer and shuffled frog leaping algorithm to solve the multi-objective optimization problems
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
Identification of tire force characteristics using a Hybrid method
Bio-inspired distributed load frequency control in Islanded Microgrids: A multi-agent deep reinforcement learning approach
Unpaired to paired data synthesis and generative ensemble network for smudged image restoration
Niching particle swarm optimization techniques for multimodal buckling maximization of composite laminates
A space search optimization algorithm with accelerated convergence strategies
SCHEDA: Lightweight euclidean-like heuristics for anomaly detection in periodic time series
A topic-specific representation learning framework for acoustic scene classification
A model updating strategy for predicting time series with seasonal patterns
Density-based clustering with boundary samples verification
Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach
Adaptive learning on hierarchical data streams using window-weighted Gaussian probabilities
Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine
Multidimensional trade performance assessment for integrating sustainability and economic diversification in OECD countries using a spherical fuzzy SIWEC-SPC-based decision support model
Multiobjective design optimization of a nano-CMOS voltage-controlled oscillator using game theoretic-differential evolution
A hybrid fuzzy-GA algorithm for the integrated machine allocation problem with fuzzy demands
Apis-Prime: A deep learning model to optimize beehive monitoring system for the task of daily weight estimation
Evolutionary feature subsets selection based on interaction information for high dimensional imbalanced data classification
Statistical exploratory analysis of mask-fill reproduction operators of Genetic Algorithms
Two model-free schemes for solving kinematic tracking control of redundant manipulators using CMAC networks
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes
Enhancing swarm robotics adaptability through transactive memory integration
Fairness in online vehicle-cargo matching: An intuitionistic fuzzy set theory and tripartite evolutionary game approach
Comparative analysis of deep learning algorithms for predicting construction project delays in Saudi Arabia
Own-background contrastive learning guided by pseudo-label for semi-supervised medical image segmentation
Grenade Explosion Method - A novel tool for optimization of multimodal functions
Consideration of reciprocal judgments through Decomposed Fuzzy Analytical Hierarchy Process: A case study in the pharmaceutical industry
Stacked autoencoder with echo-state regression for tourism demand forecasting using search query data
Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection
Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method
Optimal weighted GAN and U-Net based segmentation for phenotypic trait estimation of crops using Taylor Coot algorithm
Using group genetic algorithm to improve performance of attribute clustering
Design of neuro-evolutionary model for solving nonlinear singularly perturbed boundary value problems
Evolutionary approach on connectivity-based sensor network localization
Fuzzy Grey Cognitive Maps in reliability engineering
The effect of elite pool in hybrid population-based meta-heuristics for solving combinatorial optimization problems
Probabilistic graphical models in artificial intelligence
A decomposition-based multi-objective optimization approach for extractive multi-document text summarization
A sophisticated computational approach for flexural strength prediction and mix proportion optimization of steel fiber-reinforced concrete
A local minima escape procedure to improve the convergence of differential evolution
A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images
Gaussian mixture deep dynamic latent variable model with application to soft sensing for multimode industrial processes
A novel improved particle swarm optimization algorithm based on individual difference evolution
Ensemble self-organizing recursive neural network for modeling furnace temperature in municipal solid waste incineration
MCellPSO-PD: A multi-subgroup cellular PSO method for packing density measurement in gas-solid-phase flow
Evolutionary multi-objective optimization assisted by metamodels, kernel PCA and multi-criteria decision making techniques with applications in aerodynamics
TSFIS-GWO: Metaheuristic-driven takagi-sugeno fuzzy system for adaptive real-time routing in WBANs
Groundwater multi-pollution source tracing method based on encoder decoder residual convolutional neural networks
A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system
Forecasting realized volatility using deep learning quantile function
A spherical fuzzy decision-making approach for optimal supplier selection in the organic food retail sector
Software and hardware co-design and implementation of intelligent optimization algorithms
Mediative fuzzy logic mathematical model: A contradictory management prediction in COVID-19 pandemic
Kernel-based learning and feature selection analysis for cancer diagnosis
A particle swarm optimization and prior knowledge fusion seismic damage prediction of concrete structures
Design of interval type-2 fuzzy models through optimal granularity allocation
Fuzzy pricing of geometric Asian options and its algorithm
Manufacturing project scheduling considering human factors to minimize total cost and carbon footprints
MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services
Synthesis of individual best local priority vectors in AHP-group decision making
Ensemble clustering via dual self-enhancement by alternating denoising and topological consistency propagation
A multi-period multi-product green supply network design problem with price and greenness dependent demands under uncertainty
A robust locating multi-optima approach for damage identification of plate-like structures
Evolutionary Local Search Algorithm for the biclustering of gene expression data based on biological knowledge
Teaching-learning-based optimization with learning experience of other learners and its application
Learning efficient branch-and-bound for solving Mixed Integer Linear Programs
A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution
Hesitant fuzzy linguistic preference consistency-driven consensus model with large-scale group interaction measure for venture capital investment selection
β-Chaotic map enabled Grey Wolf Optimizer
Deep neural review text interaction for recommendation systems
The selection of reform models for provincial rural credit cooperatives unions in China using an extended CPT-TODIM method based on novel type-2 fuzzy numbers
Parametric system identification using neural networks
An efficient kernel-based feature extraction using a pull-push method
Horizontal progressive and longitudinal leapfrogging fuzzy classification with feature activity adjustment
Type-2 fuzzy blended improved D-S evidence theory based decision fusion for face recognition
Solving a novel designed second order nonlinear Lane-Emden delay differential model using the heuristic techniques
A novel bilinear functional link neural network filter for nonlinear active noise control
A multi criteria comprehensive evaluation approach for emergency response capacity with interval 2-tuple linguistic information
COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approach
A combined multi-agent system for distributed multi-project scheduling problems
An improvement on genetic-based learning method for fuzzy artificial neural networks
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets
Electroencephalograph-based emotion recognition using convolutional neural network without manual feature extraction
Optimization of the distance-constrained multi-based multi-UAV routing problem with simulated annealing and local search-based matheuristic to detect forest fires: The case of Turkey
Inferential sensor-based adaptive principal components analysis of mould bath level for breakout defect detection and evaluation in continuous casting
A dual opposition-based learning for differential evolution with protective mechanism for engineering optimization problems
A Z-number-based three-way decision method with classification-based state determination for the evaluation of new energy enterprises
A scholars' personality traits augmented multi-dimensional feature fusion scholarly journal recommendation model
Selection of eco-friendly cities in Turkey via a hybrid hesitant fuzzy decision making approach
Intelligent attitude control in tunnel boring machine considering uncertain underground environment using deep reinforcement learning
Relations and compositions between interval-valued complex fuzzy sets and applications for analysis of customers' online shopping preferences and behavior
A Novel Image Steganographic Method based on Integer Wavelet Transformation and Particle Swarm Optimization
Dual degradation image inpainting method via adaptive feature fusion and U-net network
Automatic construction of Fuzzy Inference Systems for computerized clinical guidelines and protocols
Multi-Dueling framework for multi-agent reinforcement learning
Detecting handcrafted facial image manipulations and GAN-generated facial images using Shallow-FakeFaceNet
Attention-based backdoor attacks against natural language processing models
Detecting malicious activity in Twitter using deep learning techniques
Environmentally sound short-term hydrothermal generation scheduling using intensified water cycle approach
Corrigendum to "A rapid structural damage detection method using integrated ANFIS and interval modeling technique" [Appl. Soft Comput. 25(December) (2014) 473-484]
Memetic algorithm with route decomposing for periodic capacitated arc routing problem
Harris Hawk optimization driven adaptive image encryption integrating Hilbert vibrational decomposition and chaos
Probabilistic tree-based representation for solving minimum cost integer flow problems with nonlinear non-convex cost functions
Short-term wind power forecasting based on multi-scale receptive field-mixer and conditional mixture copula
Deep multi-view clustering algorithm with integrated auto-encoder and non-negative matrix factorization
Boundary points guided 3D object detection for point clouds
Multi-sensor edge computing architecture for identification of failures short-circuits in wind turbine generators
A multiobjective evolutionary algorithm using multi-ecological environment selection strategy
Parallel machine scheduling problem to minimize the makespan with resource dependent processing times
Unsupervised constrained neural network modeling of boundary value corneal model for eye surgery
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
An evolutionary approach towards contact plan design for disruption-tolerant satellite networks
On the effectiveness of feature selection methods for gait classification under different covariate factors
Prediction approach of software fault-proneness based on hybrid artificial neural network and quantum particle swarm optimization
UniCon: Unified image-guiding generation with noise consistency
Improving the robustness of GNP-PCA using the multiagent system
Gesture recognition framework for upper-limb prosthetics using entropy features from electromyographic signals and a Gaussian kernel SVM classifier
Multi-scale quantum harmonic oscillator algorithm for global numerical optimization
Application of supervised random forest paradigms based on optimization and post-hoc explanation in underground stope stability prediction
Quantum fuzzy decision-making for analyzing the service progress life cycle of renewable energy innovation investments
A self-organizing map for transactional data and the related categorical domain
A novel hybrid algorithm based on Biogeography-Based Optimization and Grey Wolf Optimizer
Residue properties for the arithmetical estimation of the image quantization table
An extended outranking technique based on spherical fuzzy rough numbers for circular economy business models in small and medium-sized enterprises
GCDTA: Graph-attention-assisted contrastive learning for drug-target affinity prediction
PGGP: Prototype Generation via Genetic Programming
D-FNN based soft-sensor modeling and migration reconfiguration of polymerizing process
A Fuzzy AHP-based approach for prioritization of cost overhead factors in agile software development
Heuristics for online three-dimensional packing problems and algorithm selection framework for semi-online with full look-ahead
A hybrid ANFIS model based on AR and volatility for TAIEX forecasting
Modified jaya optimization and TOPSIS for determining the optimal frequency in LF-HVac
Using intelligent computing and data stream mining for behavioral finance associated with market profile and financial physics
Philosophy-informed machine learning
Model checking probabilistic social commitments for intelligent agent communication
A hybrid model for estimating software project effort from Use Case Points
A novel fuzzy rule base system for pose independent faces detection
A feedback based CRI approach to fuzzy reasoning
MHGCL: A multi-modal hypergraph contrastive learning framework for molecular property prediction
Water leakage forecasting: the application of a modified fuzzy evolving algorithm
NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning
QML-AiNet: An immune network approach to learning qualitative differential equation models
An efficient feature selection based Bayesian and Rough set approach for intrusion detection
Abstraction and decision fusion architecture for resource-aware image understanding with application on handwriting character classification
Knowledge granulation, knowledge entropy and knowledge uncertainty measure in ordered information systems
Enhancing decision-making flexibility by introducing a new last aggregation evaluating approach based on multi-criteria group decision making and Pythagorean fuzzy sets
Multi-granularity spatial temporal graph convolution network with consecutive attention for human motion prediction
A parallel micro evolutionary algorithm for heterogeneous computing and grid scheduling
Technology credit scoring model with fuzzy logistic regression
Blood supply chain operation considering lifetime and transshipment under uncertain environment
Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting
Recurrent fuzzy system design using elite-guided continuous ant colony optimization
A fault-tolerant adaptive genetic algorithm for service scheduling in internet of vehicles
Word segmentation of handwritten text using supervised classification techniques
A fuzzy back propagation network for output time prediction in a wafer fab
Minimizing total resource consumption and total tardiness penalty in a resource allocation supply chain scheduling and vehicle routing problem
An artificial immunity based intrusion detection system for unknown cyberattacks
Three-way multi-attribute decision-making under the double hierarchy hesitant fuzzy linguistic information system
Simultaneous identification of structural stiffness and mass parameters based on Bare-bones Gaussian Tree Seeds Algorithm using time-domain data
A fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems
Neuro-fuzzy self-tuning of PID control for semiglobal exponential tracking of robot arms
Mixed-model assembly line balancing problem considering preventive maintenance scenarios: MILP model and cooperative co-evolutionary algorithm
A hybrid meta-heuristic algorithm for optimization of crew scheduling
AGSDE: Archive guided speciation-based differential evolution for nonlinear equations
Multi-objective heuristic algorithms for practical portfolio optimization and rebalancing with transaction cost
A novel classifier architecture based on deep neural network for COVID-19 detection using laboratory findings
AOD-YOLO: A Self-Modulating Multi-Scale Feature Aggregation Mechanism for small object detection in airport surface scenes
Site selection in waste management by the VIKOR method using linguistic assessment
A federated recommendation algorithm based on user clustering and meta-learning
A neural network model for dose-response of foodborne pathogens
An efficient automatic SAR image segmentation framework in AIS using kernel clustering index and histogram statistics
A stacking-based ensemble learning method for earthquake casualty prediction
Fuzzy decision making model for selection of real time location systems
Renyi entropy analysis of a deep convolutional representation for texture recognition
Deep reinforcement learning with a critic-value-based branch tree for the inverse design of two-dimensional optical devices
Adaptive region adjustment to improve the balance of convergence and diversity in MOEA/D
Constraint-handling techniques in surrogate-assisted evolutionary optimization. An empirical study
Metaheuristic optimization based- ensemble learners for the carbonation assessment of recycled aggregate concrete
A new SVM-based image watermarking using Gaussian-Hermite moments
State observer design for nonlinear systems using neural network
Characterization of acoustic signals due to surface discharges on H.V. glass insulators using wavelet radial basis function neural networks
A holistic approach for resource-constrained neural network architecture search
Hierarchical forecast reconciliation with machine learning
An approximation algorithm for fuzzy polynomial interpolation with Artificial Bee Colony algorithm
Nonlinear black-box system identification through coevolutionary algorithms and radial basis function artificial neural networks
Multi-view framework for multi-label bioactive peptide classification based on multi-modal representation learning
Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm
ECG assessment based on neural networks with pretraining
Intelligent controllers for bi-objective dynamic scheduling on a single machine with sequence-dependent setups
Wavelet against random forest for anomaly mitigation in software-defined networking
Harmonic distortion monitoring for nonlinear loads using neural-network-method
A two-phase differential evolution for minimax optimization
Particle swarm optimization with crazy particles for nonconvex economic dispatch
Multi-body structure information enhancement GCN for 3D human pose estimation in videos
Maximizing three-hop influence spread in social networks using discrete comprehensive learning artificial bee colony optimizer
Scheduling a realistic hybrid flow shop with stage skipping and adjustable processing time in steel plants
Automated test case generation for path coverage using Hierarchical Surrogate-Assisted Differential Evolution
Two new approaches based on ELECTRE II to solve the multiple criteria decision making problems with hesitant fuzzy linguistic term sets
Small-sample modelling of early-stage operation of high concrete dams in cold regions based on deep transfer learning
Parallel 'same' and 'valid' convolutional block and input-collaboration strategy for histopathological image classification
ERL-ER-FedHG: Evolutionary reinforcement learning with experience replay for federated heterogeneous graphs
Financial distress prediction using support vector machines: Ensemble vs. individual
Genetic search for optimally-constrained multiple-line fitting of discrete data points
Discriminative feature-based adaptive distribution alignment (DFADA) for rotating machine fault diagnosis under variable working conditions
A flight maneuver recognition method based on multi-strategy affine canonical time warping
A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
Color smoothing for RGB-D data using entropy information
Estimating the shear stress distribution in circular channels based on the randomized neural network technique
A new metaheuristic optimization algorithm inspired by human dynasties with an application to the wind turbine micrositing problem
League Championship Algorithm (LCA): An algorithm for global optimization inspired by sport championships
A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems
Hybrid differential evolution algorithm for optimal clustering
Scheduling big data applications within advance reservation framework in optical grids
Integrated evolutionary neural network approach with distributed computing for congestion management
A survey on projection neural networks and their applications
Enhanced grey wolf optimizer with a model for dynamically estimating the location of the prey
An extensible complex spherical fuzzy decision making model based selection framework for the food waste treatment method
Perceptual similarity measurement based on generative adversarial neural networks in graphics design
Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
A joint generalized exemplar method for classification of massive datasets
Application of an interpretable Raman-Spectral classification model based on a transposed convolution and attention mechanism to tumor-tissue screening
A framework for application of neuro-case-rule base hybridization in medical diagnosis
A multi-scale and multi-transform-based lightweight U-Net model for Brain Tumor Segmentation with enhanced spatial information
On fuzzy-rough attribute selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance
Large-scale multiple criteria group decision-making with information emendation based on unsupervised opinion evolutions
Sound classification using evolving ensemble models and Particle Swarm Optimization
A dual-model semi-supervised self-organizing fuzzy inference system for data stream classification
The stable and precise motion control for multiple mobile robots