yusuke1997/dblp-id-title huggingface dataset:
Study of genetic algorithm with reinforcement learning to solve the TSP
Active localization learning for weakly supervised instance segmentation
Zero-shot learning for compound fault diagnosis of bearings
An empirical study of best practices for code pre-trained models on software engineering classification tasks
Two-echelon logistics distribution region partitioning problem based on a hybrid particle swarm optimization-genetic algorithm
A multi-objective grouping Harmony Search algorithm for the optimal distribution of 24-hour medical emergency units
New information measures for linear Diophantine fuzzy sets and their applications with LDF-ARAS on data storage system selection problem
IoT-based prediction and classification framework for smart farming using adaptive multi-scale deep networks
An evolutionary voting for k-nearest neighbours
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults
Modelling net radiation at surface using "in situ" netpyrradiometer measurements with artificial neural networks
Design of prestressed concrete flat slab using modern heuristic optimization techniques
An adaptive genetic algorithm with dominated genes for distributed scheduling problems
Computer-based systematic execution model on human resources management in maritime transportation industry: The case of master selection for embarking on board merchant ships
Hierarchy as a new data type for qualitative variables
Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning
Spectral information guidance network for tampering localization of high-resolution satellite map
Self-adaptive and dynamic clustering for online anomaly detection
A depth-aware geometric fusion based view synthesis method for sparse RGB-D input
TL-ESKF: An information fusion method for INS/GPS integrated navigation considering driving state deviation
An improved WINGS-ISM approach with consensus model in group decision-making for addressing critical success factors of collaborative emergency management
An optimal color image multilevel thresholding technique using grey-level co-occurrence matrix
Dealing with group decision-making environments that have a high amount of alternatives using card-sorting techniques
Corrigendum to "S3LR: Novel feature selection approach for microarray-based breast cancer recurrence prediction" [Expert Syst. Appl. 241 (2024) 122457]
Decision support in construction equipment management using a nonparametric outlier mining algorithm
Continuous control of structural vibrations using hybrid deep reinforcement learning policy
Supervised learning-based multi-site lean blowout prediction for dry low emission gas turbine
Numerical simulation of the novel coronavirus spreading
E2MISeg: Enhancing edge-aware 3D medical image segmentation via feature progressive co-aggregation
An evolutionary event detection model using the Matrix Decomposition Oriented Dirichlet Process
Practical expert diagnosis model based on the grey relational analysis technique
Hybrid classical-quantum Convolutional Neural Network for stenosis detection in X-ray coronary angiography
Rasch-based high-dimensionality data reduction and class prediction with applications to microarray gene expression data
LWMEO: An efficient equilibrium optimizer for complex functions and engineering design problems
Cooperative learning in E-learning: A peer assessment of student-centered using consistent fuzzy preference
A new portfolio approach integrating three-way decision and Encoder-Decoder network
Fully automated multi-parametric brain tumour segmentation using superpixel based classification
An N-list-based algorithm for mining frequent closed patterns
Medical image fusion based on extended difference-of-Gaussians and edge-preserving
A group decision making support system in logistics and supply chain management
Improving cancer driver genes identifying based on graph embedding hypergraph and hierarchical synergy dominance model
Click-through conversion rate prediction model of book e-commerce platform based on feature combination and representation
HFS-CSR: A hierarchical feature selection method based on correlation and structural redundancy
Government economic subsidies or credit risk mitigation: incentive contracts and resilience assessment in low-carbon agricultural supply chains
Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases
Feedforward neural network and adaptive network-based fuzzy inference system in study of power lines
Structural order measure of manufacturing systems based on an information-theoretic approach
Revisiting Code Smell Severity Prioritization using learning to rank techniques
Facility layout using weighted association rule-based data mining algorithms: Evaluation with simulation
Applying text and data mining techniques to forecasting the trend of petitions filed to e-People
Regional attention network with data-driven modal representation for multimodal trajectory prediction
Hybrid iForest-DBSCAN for anomaly detection and wind power curve modelling
Fuzzy arithmetic based reliability allocation approach during early design and development
Extended high dimensional indexing approach for reachability queries on very large graphs
Real-time human segmentation in infrared videos
An effective hybrid genetic algorithm with flexible allowance technique for constrained engineering design optimization
Feature selection for continuous aggregate response and its application to auto insurance data
Modeling of the angle of shearing resistance of soils using soft computing systems
A high-capacity QRD-based blind color image watermarking algorithm incorporated with AI technologies
A barrier evaluation framework for forest carbon sink project implementation in China using an integrated BWM-IT2F-PROMETHEE II method
Increasing the effectiveness of associative classification in terms of class imbalance by using a novel pruning algorithm
Short-term load forecasting in smart grids: A CGAN-self data reconstruction and BiTCN-BiGRU-self attention model with demand response optimization
Multi-level cross-modal contrastive learning for review-aware recommendation
Modeling safety considerations and space limitations in piling operations using agent based simulation
Predicting financial distress of contractors in the construction industry using ensemble learning
Locating critical slip surfaces of soil slopes with heuristic algorithms: A comparative study
Multi-view imputation and cross-attention network based on incomplete longitudinal and multimodal data for conversion prediction of mild cognitive impairment
Design and experimental verification: Health indicator-based decentralized optimal fault-tolerant control for modular robot manipulators via adjustable event-triggered mechanism
Attention enhanced reinforcement learning for flexible job shop scheduling with transportation constraints
PHCDTI: A multichannel parallel high-order feature crossover model for DTIs prediction
MDOFusion: A visible and infrared image fusion method based on multi-dimensional quantification allocation and dual optimization mechanism
SDERIME: Enhanced RIME algorithm with Sobol sequences and differential evolution for heavy calcium carbonate powder particle size distribution soft sensor model optimization
Algorithm for cattle identification based on locating key area
Directive Decision Devices: Extending the reach of automation into the finance domain
Integrated group fuzzy multi-criteria model: Case of facilities management strategy selection
Ensemble feature selection using distance-based supervised and unsupervised methods in binary classification
An OWL-based ontological approach to RAD modeling of human interactions for business collaboration
Efficient Benders decomposition algorithms for the robust multiple allocation incomplete hub location problem with service time requirements
A Camera to LiDAR calibration approach through the optimization of atomic transformations
Policy and efficiency evaluation on civil health, well-being, and economic growth in China by investigating waterborne disease
A deep learning based hybrid method for hourly solar radiation forecasting
A new integrated multi-attribute decision-making approach for mobile medical app evaluation under q -rung orthopair fuzzy environment
Automated fish counting system based on instance segmentation in aquaculture
Applying semi-supervised learning in hierarchical multi-label classification
FrameSTEP: A framework for annotating semantic trajectories based on episodes
Data-Driven purchasing strategies: Price prediction models and strategy development
EEG based over-complete rational dilation wavelet transform coupled with autoregressive for motor imagery classification
Joint-phase attention network for breast cancer segmentation in DCE-MRI
Pricing and bundling strategies for complementary products in a closed-loop green supply chain under manufacturers' different behaviors
An enhanced slime mould algorithm based on adaptive grouping technique for global optimization
Using and comparing different decision tree classification techniques for mining ICDDR, B Hospital Surveillance data
An enhanced genetic algorithm for bi-objective pump scheduling in water supply
Mapping user behaviors to identify professional accounts in Ethereum using semi-supervised learning
A neural network-based approach for dynamic quality prediction in a plastic injection molding process
High-frequency direction forecasting and simulation trading of the crude oil futures using Ichimoku KinkoHyo and Fuzzy Rough Set
Match of the cross-period capacity on the third-party shared manufacturing platform with demand delay
Generation of simple structured information retrieval functions by genetic algorithm without stagnation
An expert system to achieve fuzzy interpretations of validation data
A computational system based on ontologies to automate the mapping process of medical reports into structured databases
Integrated staff scheduling at a medical emergency service: An optimisation approach
Learning to generalize with latent embedding optimization for few- and zero-shot cross domain fault diagnosis
QUSL: Quantum unsupervised image similarity learning with enhanced performance
CoRLHF: Reinforcement learning from human feedback with cooperative policy-reward optimization for LLMs
Explainable prediction of surface roughness in multi-jet polishing based on ensemble regression and differential evolution method
Erratum to "Advanced computational reasoning based on the NKRL conceptual model" [Expert Systems with Applications 40 (8) (2013) 2872-2888]
Density gradient-RRT: An improved rapidly exploring random tree algorithm for UAV path planning
RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction
Vendor managed inventory system considering deteriorating items and probabilistic demand for a three-layer supply chain
Distributed control of large-scale light-emitting-diodes for providing operating reserve based on adaptive comfort-oriented consensus algorithm
MONERS: A news recommender for the mobile web
Wavelet packet neural networks for texture classification
Tri-level attribute reduction in rough set theory
Semantic modeling and analysis of complex data-aware processes and their executions
Privacy-preserving federated learning with intermediate-level model sharing
Enhancing energy efficiency in wireless sensor networks via predictive model for node status classification and coverage integrity using relational Bi-level aggregation graph convolutional network
A knowledge-based intelligent decision support system for national defense budget planning
A genetic algorithm based on extended sequence and topology encoding for the multicast protocol in two-tiered WSN
A novel pipeline for tunnel multi-object tracking integrating cross-modality and motion model
Combining tabu Hopfield network and estimation of distribution for unconstrained binary quadratic programming problem
Exemplar driven development of software product lines
Simulation-optimization for the management of the transshipment operations at maritime container terminals
Two-stage logistic regression model
Dynamic multi teacher knowledge distillation for semantic parsing in KBQA
The performance of recommender systems in online shopping: A user-centric study
Real-time monitoring and prediction of water content in concrete members through time series modeling
Feature selection considering two types of feature relevancy and feature interdependency
Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature
Knowledge-based spatial decision support systems: An assessment of environmental adaptability of crops
A cumulative capital approach for dynamic transmission expansion planning: enhancing cost efficiency and grid development
An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization
Percolated simulation approach for optimization of preserve service system design
New results on inconsistency indices and their relationship with the quality of priority vector estimation
A stock trading expert system based on the rule-base evidential reasoning using Level 2 Quotes
Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities
Energy-efficient mechanism of task offloading and resource allocation for hierarchical MEC in UAV-assisted mmWave IABN
Multi-label body constitution recognition via HWmixer-MLP for facial and tongue images
Ensemble generation and feature selection for the identification of students with learning disabilities
Equipment classification based differential game method for advanced persistent threats in Industrial Internet of Things
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
Predicting cryptocurrency prices with ML-DL models: A hybrid expert system approach
Electric eel foraging optimization: A new bio-inspired optimizer for engineering applications
Online named entity recognition method for microtexts in social networking services: A case study of twitter
High-performance c-VEP-BCI under minimal calibration
One-shot learning for acoustic diagnosis of industrial machines
On the making of service recommendations: An action theory based on utility, reputation, and risk attitude
On the selection of equity securities: An expert systems methodology and an application on the Athens Stock Exchange
Linear Cost-sensitive Max-margin Embedded Feature Selection for SVM
Developing a data analytics platform to support decision making in emergency and security management
The forecasting ability of Internet-based virtual futures market
An intelligent system for focused crawling from Big Data sources
A dual-level graph attention network and transformer for enhanced trajectory prediction under road network constraints
Progress-Driven Waypoint Planning for UGV-based progress data collection and reality capture
WASPAS-based decision making methodology with unknown weight information under uncertain evaluations
Product improvement in a big data environment: A novel method based on text mining and large group decision making
Bark texture classification using improved local ternary patterns and multilayer neural network
Fake news detection in multiple platforms and languages
Automatic expert identification using a text categorization technique in knowledge management systems
Improved stochastic competitive Hopfield network for polygonal approximation
A hybrid dynamic economic environmental dispatch model for balancing operating costs and pollutant emissions in renewable energy: A novel improved mayfly algorithm
A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry
Car assembly line fault diagnosis model based on triangular fuzzy Gaussian wavelet kernel support vector classifier machine and genetic algorithm
Recommender system architecture for adaptive green marketing
Machine learning approach for finding business partners and building reciprocal relationships
MBCMEA: multi-armed bandit model-based constraint multimodal multi-objective optimization algorithm
Surrogate model for memetic genetic programming with application to the one machine scheduling problem with time-varying capacity
Recovering 3D human pose based on biomechanical constraints, postures comfort and image shading
Benders decomposition applied to multi-commodity, multi-mode distribution planning
Intelligent identification of force chain particles within hang-up system of caved ore and rock based on graph neural networks
Simplex bounded confidence model for opinion fusion and evolution in higher-order interaction
ICSThreatQA: A knowledge-graph enhanced question answering model for industrial control system threat intelligence
Packet-based context aware system to determine information system user's context
Accurate fault location on EHV lines using both RBF based support vector machine and SCALCG based neural network
Meta-IRLSOT++: A meta-inverse reinforcement learning method for fast adaptation of trajectory prediction networks
A predictive-reactive cross-dock rescheduling system under truck arrival uncertainty
Fast synchronization clustering algorithms based on spatial index structures
Retrieval-augmented code completion for local projects using large language models
An efficient watermarking scheme for dual color image with high security in 5G environment
A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding
Adaptive fuzzy regulation of the DC-bus capacitor voltage in a wind energy conversion system (WECS)
Learning parameters of Bayesian networks from datasets with systematically missing data: A meta-analytic approach
Iterated local search embedded adaptive neighborhood selection approach for the multi-depot vehicle routing problem with simultaneous deliveries and pickups
Conceptual clustering with application on FCA context
Spectral transient-based multiple leakage identification in water pipelines: An efficient hybrid gradient-metaheuristic optimization
A novel density peaks clustering algorithm based on Hopkins statistic
A multi-view ensemble clustering approach using joint entropy
A comprehensive review of slope stability analysis based on artificial intelligence methods
SAFECAR: A Brain-Computer Interface and intelligent framework to detect drivers' distractions
A semi-supervised tool for clustering accounting databases with applications to internal controls
Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
Cross-lingual word analogies using linear transformations between semantic spaces
An evidential cooperative multi-agent system
Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory
Ranking fuzzy numbers using additive priority degrees
Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
Demand response application in industrial scenarios: A systematic mapping of practical implementation
Extraction of user profile based on workflow and information flow
A degradation-aware enhancement network with fused features for fundus images
FEAT: Frequency Energy Based Backdoor Attack in Deep Neural Networks
Performance based earthquake evaluation of reinforced concrete buildings using design of experiments
DARK: Deep automatic Redis knobs tuning system depending on the persistence method
SHNN: A single-channel EEG sleep staging model based on semi-supervised learning
Adaptive evolutionary multitask optimization based on anomaly detection transfer of multiple similar sources
Sizing and shape optimization of truss employing a hybrid constraint-handling technique and manta ray foraging optimization
SFINet: A semantic feature interactive learning network for full-time infrared and visible image fusion
Indoor cooperative exploration using robot swarms enhanced by human understanding
Assembly line balancing problem with deterioration tasks and learning effect
R2-IBMOLS applied to a practical case of the multiobjective knapsack problem
Feasibility-guided momentum prediction for dynamic constrained multi-objective optimization
Robust interactive image segmentation using structure-aware labeling
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems
Remote sensing vehicle detection with spatial perception enhancement and branch collaboration
Universal affective model for Readers' emotion classification over short texts
Susceptible-infected diffusion of food safety opinion dissemination: Infrastructure-driven spread and behavior-embedded substance
Fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights
Fatigue crack growth estimation by relevance vector machine
Neural network operators with hyperbolic tangent functions
Reconstructive network under contrastive graph rewards for video summarization
A hybrid artificial bee colony algorithm with high robustness for the multiple traveling salesman problem with multiple depots
Mask2Edge: Masking dependencies and dynamically capturing pixel differences in edge detection
Design of a visual perception model with edge-adaptive Gabor filter and support vector machine for traffic sign detection
Enhanced active learning and library compression for high-dimensional evolutionary learning and seismic intensity attenuation relationship case
Company classification using machine learning
A new nonparametric EWMA Sign Control Chart
A novel fuzzy-prospect theory approach for hydrogen fuel cell component supplier selection for automotive industry
A cultural heritage framework using a Deep Learning based Chatbot for supporting tourist journey
Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction
A quality-driven approach for resources planning in Service-Oriented Architectures
(OBIFS) isotropic image analysis for improving a predicting agent based systems
ATFA: Adversarial Time-Frequency Attention network for sensor-based multimodal human activity recognition
Research stakeholders identification using an mobile agent's framework
Bi-level deep feature synthesis through variational autoencoder for predicting peptide antiviral activity using optimized deep ensemble
Aperiodic intermittent event-triggered synchronization control for discrete-time complex dynamical networks
New approach for quality function deployment based on bounded trust consensus model and DBSCAN algorithm
Automatic information extraction in the AI chip domain using gated interactive attention and probability matrix encoding method
Stackelberg solutions for random fuzzy two-level linear programming through possibility-based probability model
A decomposition-based many-objective evolutionary algorithm with Q-learning guide weight vectors update
A real world attack model combining LED modulation and attention-superpixel guidance
Example-dependent cost-sensitive decision trees
A decision-making approach under uncertainty based on ensemble learning model with multimodal data and its application in medical diagnosis
Cost optimization of integrated network planning based on adaptive sectorization in hybrid F/CDMA telecommunications system via Lagrangean relaxation
Complete feature learning and consistent relation modeling for few-shot knowledge graph completion
Android malware detection method based on graph attention networks and deep fusion of multimodal features
Combining rules between PIPs and SAX to identify patterns in financial markets
Transformer based contextual text representation framework for intelligent information retrieval
An intelligent system for the acquisition and management of information from bill of quantities in building projects