yusuke1997/dblp-id-title huggingface dataset:
Iteration particle swarm optimization procedure for economic load dispatch with generator constraints
Optimization of multimodal continuous functions using a new crossover for the real-coded genetic algorithms
Seismic assessment of school buildings in Taiwan using the evolutionary support vector machine inference system
Learning from class-imbalanced data: Review of methods and applications
The replenishment policy of agri-products with stochastic demand in integrated agricultural supply chains
DistilledCTR: Accurate and scalable CTR prediction model through model distillation
Unsupervised feature selection for attributed graphs
Joint sparse principal component regression with robust property
Development of a GTM-based patent map for identifying patent vacuums
End-to-End generation of Multiple-Choice questions using Text-to-Text transfer Transformer models
A COM-based expert system for selecting the suitable map projection in ArcGIS
A 2-tier fuzzy control system for grade adjustment based on students' social interactions
Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques
Hybrid mining approach in the design of credit scoring models
Machine learning based methods for software fault prediction: A survey
Transformer with Selective Shuffled Position Embedding and key-patch exchange strategy for early detection of Knee Osteoarthritis
An expert system for setting parameters in machining processes
A configuration space evolutionary algorithm with local minimizer for weighted circles packing problem
Social-based planning model for multiagent systems
On forecasting non-renewable energy production with uncertainty quantification: A case study of the Italian energy market
Group matching method for search-space reduction, development, proof, and comparison
Pyramid feature fusion through shifted window self-attention for tobacco leaf classification
Efficient feature extraction methodologies for unknown MP4-Malware detection using Machine learning algorithms
COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles
Enhanced multi-scale TCN ensemble for component chain prediction using evolutionary algorithms
Learning adaptive detection and tracking collaborations with augmented UAV synthesis for accurate anti-UAV system
Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites
Multimodal detection of epilepsy with deep neural networks
Machine learning based Optimal, reliable, and cost-effective energy management of a hybrid renewable energy integrated with hybrid solid gravity energy storage
MMT-SNN: Markovian decision and multi-threshold spike delivery integrated adaptive spiking neural network for tactile object recognition
Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals
Diagnosis of orange tree fruit and leaf diseases based on a new deep learning model using a graphical user interface
A comparison of nature inspired algorithms for multi-threshold image segmentation
Improvements in Multi-Document Abstractive Summarization using Multi Sentence Compression with Word Graph and Node Alignment
Capital system, creative economy and knowledge city transformation: Insights from Bento Gonçalves, Brazil
A general knowledge mediation infrastructure for multi-agent systems
Data-driven construction of SPARQL queries by approximate question graph alignment in question answering over knowledge graphs
Decentralized platoon formation for a fleet of connected and autonomous trucks
Thermal heat distribution features for hand identification
Mee-SLAM: Memory efficient endoscopic RGB SLAM with implicit scene representation
A multirobot target searching method based on bat algorithm in unknown environments
A 3D GIS-based interactive registration mechanism for outdoor augmented reality system
Digital twin-supported smart city: Status, challenges and future research directions
A novel geometric-based bistatic range grouping algorithm for multi-target localization in distributed MIMO radar systems
XOR data envelopment analysis and its application to renewable energy sector
Validation of an algorithm for dynamically diagnosing learning progress and innovation performance at real-time base
Multi-objective optimization of energy-efficient remanufacturing system scheduling problem with lot-streaming production mode
Open problems in causal structure learning: A case study of COVID-19 in the UK
A critical assessment of imbalanced class distribution problem: The case of predicting freshmen student attrition
Differentiated security levels for personal identifiable information in identity management system
Automated measurement extraction for assessing simple suture quality in medical education
Grey system theory-based models in time series prediction
An application of sequential neural-network approximation for sitting and sizing passive harmonic filters
Applying the consistent fuzzy preference relations to select merger strategy for commercial banks in new financial environments
Research on Kansei design of electric scooter integrating CNN-GRU-Attention and biologically inspired design
Black-box backdoor attack with everyday physical object in mobile crowdsourcing
Setting up standards: A methodological proposal for pediatric Triage machine learning model construction based on clinical outcomes
Fast and efficient discovery of key bike stations in bike sharing systems big datasets
Expert system for the parabolic trough collector control through classical and conformable transfer functions in ANNi-PSO
A fuzzy case-based reasoning model for sales forecasting in print circuit board industries
Linguistic Z-number preference relation for group decision making and its application in digital transformation assessment of SMEs
GSAgri: Green and Secure Agriculture through efficient task offloading and scheduling under IoT-enabled energy-harvesting multi-access edge computing framework
3D landmark detection on human point clouds: A benchmark and a dual cascade point transformer framework
Applying the TAM to travelers' usage intentions of GPS devices
Improving employment services management using IPA technique
Application of mutation operators to flower pollination algorithm
Comparison of NN and LR classifiers in the context of screening native American elders with diabetes
A method for the automatic analysis of the sleep macrostructure in continuum
Subjective and objective evaluation of visual security in perceptually encrypted images
ODTE - An ensemble of multi-class SVM-based oblique decision trees
Convolutional neural network-based safety evaluation method for structures with dynamic responses
Erratum to "Evolving neural network using real coded genetic algorithm for permeability estimation of the reservoir" [Expert Systems with Applications 38 (8) (2011) 9862-9866]
Relationship between knowledge sharing and performance: A survey in Xi'an, China
A novel potential field model for perimeter and agent density control in multiagent swarms
HMDFF-Net: Hierarchical multi-scale dilated feature fusion network for accurate multiclass diagnosis of brain tumors
A novel hybrid differential evolution and symbiotic organisms search algorithm for size and shape optimization of truss structures under multiple frequency constraints
Bacterial foraging driven exploration of multi cycle fault tolerant datapath based on power-performance tradeoff in high level synthesis
A fuzzy hybrid project portfolio selection method using Data Envelopment Analysis, TOPSIS and Integer Programming
Fault diagnosis for wind turbine generators based on Model-Agnostic Meta-Learning: A few-shot learning method
Controlling over-adjusted process means and variances using VSI cause selecting control charts
Joint Projected Fuzzy Neighborhood Preserving C-means Clustering with Local Adaptive Learning
Quantum-behaved particle swarm optimization algorithm for economic load dispatch of power system
Multi-feature fusion for accurate polyp segmentation using pyramid visual transformers
From blurry numbers to clear preferences: A mechanism to extract reputation in social networks
Expert system for integrity assessment of piping containing defects
The mixed capacitated general routing problem with turn penalties
Accelerating automatic hate speech detection using parallelized ensemble learning models
Wind farm incorporated optimal power flow solutions through multi-objective horse herd optimization with a novel constraint handling technique
A novel geometric feature extraction method for ear recognition
Rethinking scene representation: A saliency-driven hierarchical multi-scale resampling for RGB-D scene point cloud in robotic applications
Hybrid linear matrix factorization for topic-coherent terms clustering
A lightweight network for foreign object detection in railway overhead contact lines based on optical imagery
Drone shipping versus truck delivery in a cross-docking system with multiple fleets and products
Initial stage clustering when estimating accounting quality measures with self-organizing maps
An improved fuzzy neural network based on T-S model
Multi-scale fusion and efficient feature extraction for enhanced sonar image object detection
Human operators' cognitive workload recognition with a dual attention-enabled multimodal fusion framework
An enhanced interval-valued PM2.5 concentration forecasting model with attention-based feature extraction and self-adaptive combination technology
Based on spatial Mahalanobis distance: A novel zero-shot learning method for compound fault identification and decoupling
Product recommendation with temporal dynamics
Genetic programming hyper-heuristic-based solution for dynamic energy-efficient scheduling of hybrid flow shop scheduling with machine breakdowns and random job arrivals
Expert system for sectorized cell configuration by radio fingerprint data analytics in wireless cellular networks
Total carbon emissions minimization in connected and automated vehicle routing problem with speed variables
Adapt to small-scale and long-term time series forecasting with enhanced multidimensional correlation
An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time
Multiple Phase Neighborhood Search-GRASP for the Capacitated Vehicle Routing Problem
A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization
Adaptive variable neighborhood search solution methods for the fleet size and mix pollution location-inventory-routing problem
Automatic recognition of quarantine citrus diseases
A hierarchical clustering algorithm for addressing multi-modal multi-objective optimization problems
Fuzzy Rule-Based Prediction of Gold Prices using News Affect
BDBM: A distributed network simplification method for solving task allocation problems
A structural description of pedestrian movement behavior in multiple surveillance videos
Discovering time-interval sequential patterns in sequence databases
Pattern classification and audiovisual content management techniques using hybrid expert systems: A video-assisted bioacoustics application in Abdominal Sounds pattern analysis
Hesitant fuzzy numbers with ( α, k )-cuts in compact intervals and applications
Strategic hospital services quality analysis in Indonesia
Knowledge discovery using neural approach for SME's credit risk analysis problem in Turkey
A novel pipeline framework for multi oriented scene text image detection and recognition
Anomalies cannot materialize or vanish out of thin air: A hierarchical multiple instance learning with position-scale awareness for video anomaly detection
Exploring multi-granularity contextual semantics for fully inductive knowledge graph completion
An approach to complex agent-based negotiations via effectively modeling unknown opponents
Modeling the Stackelberg game with a boundedly rational follower in deterioration supply chain-based interaction with the leader's hybrid pricing strategy
Identification of category associations using a multilabel classifier
A wireless multi-step attack pattern recognition method for WLAN
Pricing and promotion strategies of an online shop based on customer segmentation and multiple objective decision making
A rough set approach for approximating differential dependencies
A data mining framework for financial prediction
Granular computing-based fuzzy deep neural network for long-tailed fault diagnosis: Design and analysis
FDI-YOLO: Feature disentanglement and interaction network based on YOLO for SAR object detection
Optimal location selection for an international distribution center by using a new hybrid method
A co-evolutionary genetic algorithm for the two-machine flow shop group scheduling problem with job-related blocking and transportation times
Adaptive bagging-based dynamic ensemble selection in nonstationary environments
An explainable AI decision-support-system to automate loan underwriting
Factual consistency evaluation of summarization in the Era of large language models
A random-key genetic algorithm-based method for transportation network vulnerability envelope analysis under simultaneous multi-link disruptions
Integrated evidential reasoning approach in the presence of cardinal and ordinal preferences and its applications in software selection
A PSO-aided neuro-fuzzy classifier employing linguistic hedge concepts
Time series decomposition and predictive analytics using MapReduce framework
A semantic approach to expert system for e-Assessment of credentials and competencies
RASON: A new approach to the scheduling radiotherapy problem that considers the current waiting times
An intelligent font generation system based on stroke inference, mitigating production labor and enhancing design experience
Yin-Yang firefly algorithm based on dimensionally Cauchy mutation
Virtual tomography as a novel method for segmenting machining process phases with the use of machine learning-supported measurement
Dynamic sampling strategy for enhanced person re-Identification across multiple cameras
A hierarchical approach to multi-class fuzzy classifiers
A multi-agent system for web-based risk management in small and medium business
Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models
Customer loyalty programs to sustain consumer fidelity in mobile telecommunication market
Reinforcement learning approach to goal-regulation in a self-evolutionary manufacturing system
Feature saliency using signal-to-noise ratios in automated diagnostic systems developed for ECG beats
A fuzzy digraph method for robot evaluation and selection
On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction
A switching-parameter recurrent neural network for solving time-varying QP problem
Fuzzy method to disclose behaviour patterns in a Tagged World
GraphDRL: GNN-based deep reinforcement learning for interactive recommendation with sparse data
A reduced variance unsupervised ensemble learning algorithm based on modern portfolio theory
Fear not, vote truthfully: Secure Multiparty Computation of score based rules
Hierarchical Task Network planning with common-sense reasoning for multiple-people behaviour analysis
Intelligent system for prediction and control: Application in plasma spray process
A concept of fuzzy input mix-efficiency in fuzzy DEA and its application in banking sector
Reconstruction of missing features by means of multivariate Laplace distribution (MLD) for noise robust speech recognition
Time series clustering for TBM performance investigation using spatio-temporal complex networks
FSAKE: Few-shot graph learning via adaptive neighbor class knowledge embedding
A Comprehensive Framework for Human - AI Collaborative Decision Making in Intelligent Retail Environments
Semantic modelling of Earth Observation remote sensing
Structural digital Twin for damage detection of CFRP composites using meta transfer Learning-based approach
Multifractal scaling behavior analysis for existing dams
Multivariable data imputation for the analysis of incomplete credit data
SUNRISE: multi-agent reinforcement learning via neighbors' observations under fully noisy environments
A novel method for personalized music recommendation
Stable and convergent iterative feedback tuning of fuzzy controllers for discrete-time SISO systems
Incorporating machine learning and a risk-based strategy in an anti-money laundering multiagent system
Expert system based adaptive dynamic matrix control for ball mill grinding circuit
Machine Learning role in clinical decision-making: Neuro-rehabilitation video game
Robust optimal scheduling for integrated energy systems based on multi-objective confidence gap decision theory
Hybrid embedding-based text representation for hierarchical multi-label text classification
The optimal approach for parameter settings based on adjustable contracting capacity for the hospital supply chain logistics system
An automatic feedback educational platform: Assessment and therapeutic intervention for writing learning in children with special educational needs
Grey relational analysis method for 2-tuple linguistic multiple attribute group decision making with incomplete weight information
A novel approach to predictive analysis using attribute-oriented rough fuzzy sets
Lung CT image synthesis using GANs
A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion
A differential evolution approach for solving constrained min-max optimization problems
GRPO-TST: Group relative policy optimized time series tokenization for long-horizon equipment-state forecasting in continuous casting
LSO-CSL: Light spectrum optimizer-based convolutional stacked long short term memory for attack detection in IoT-based healthcare applications
Decision framework with integrated methods for group decision-making under probabilistic hesitant fuzzy context and unknown weights
Set-valued samples based support vector regression and its applications
CoCNet: A Chain-of-Clues framework for zero-shot referring expression comprehension
Decision-making in a low-carbon supply chain considering consumers' fairness concerns
Industrial robot energy consumption model identification: A coupling model-driven and data-driven paradigm
Feature-based neural network optimization framework for flexible job shop scheduling
An online learning algorithm for adaptable topologies of neural networks
An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality
Prioritization of transfer centers using GIS and fuzzy Dombi Bonferroni weighted Assessment (DOBAS) model
Recurrent neural network and a hybrid model for prediction of stock returns
Behavior monitoring under uncertainty using Bayesian surprise and optimal action selection
An innovative information accumulation multivariable grey model and its application in China's renewable energy generation forecasting
Structuring the prediction model of project performance for international construction projects: A comparative analysis
Deep learning-based fault diagnosis of servo motor bearing using the attention-guided feature aggregation network
Analysis of Doppler ultrasound signals based on fuzzy similarity index
Matrix factorization based Bayesian network embedding for efficient probabilistic inferences
A Feature Selection based on perturbation theory
Pricing strategy and order quantity allocation with price-sensitive demand in three-echelon supply chain
A privacy-preserving decentralized randomized block-coordinate subgradient algorithm over time-varying networks
Multi-organ segmentation network for abdominal CT images based on spatial attention and deformable convolution
Corrigendum to "Vision-based active safety system for automatic stopping" [Expert Systems with Applications 39/12 (2012) 11234-11242]
Optimal reactive power dispatch problem using a two-archive multi-objective grey wolf optimizer
Pedestrian detection based on faster R-CNN in nighttime by fusing deep convolutional features of successive images
Maximizing AUC to learn weighted naive Bayes for imbalanced data classification
Review-enhanced contrastive learning on knowledge graphs for recommendation
Efficient and robust time series prediction model based on REMD-MMLP with temporal-window
Social trend tracking by time series based social tagging clustering
Modified harmony search optimization for constrained design problems
On oversampling imbalanced data with deep conditional generative models
Fuzzy support vector machines with the uncertainty of parameter C
Automatic risk level evaluation system for potential environmental hazards along high-speed railroad using UAV aerial photograph
Overlapping community detection by constrained personalized PageRank
Performance evaluation of automotive dealerships using grouped mixture of regressions
Spatial-temporal video grounding with cross-modal understanding and enhancement
Using high-fidelity meta-models to improve performance of small dataset trained Bayesian Networks
Simulation optimization approach for patient scheduling at destination medical centers
Analysis of mixed traffic flow with different lane management strategy for connected automated vehicles: A fundamental diagram method
Fast deep parallel residual network for accurate super resolution image processing
Improved estimation of software project effort using multiple additive regression trees
A machine learning-based approach for flames classification in industrial Heavy Oil-Fire Boilers
Augmented weighted bidirectional feature pyramid network for marine object detection
An XML-based active document for intelligent web applications
MV-Checker: A software tool for multi-valued model checking intelligent applications with trust and commitment
Configuring policies in public health applications
A novel ACO-GA hybrid algorithm for feature selection in protein function prediction
Domain knowledge integrated CNN-xLSTM-xAtt network with multi stream feature fusion for cuffless blood pressure estimation from photoplethysmography signals
On decision making support in blood bank information systems
Mining periodic trends via closed high utility patterns
Source printer identification using printer specific pooling of letter descriptors
A multi-model ensemble learning framework for imbalanced android malware detection
Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine
Using support vector machines for the computationally efficient identification of acceptable design parameters in computer-aided engineering applications
Modification of the Best-Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers
Parallel wavelet networks incorporating modality adaptation for hyperspectral image super-resolution
An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing
An enhanced fuzzy-based clustering protocol with an improved shuffled frog leaping algorithm for WSNs
Anomaly detection in monitoring sensor data for preventive maintenance
Deep learning approaches to identify order status in a complex supply chain
Maneuvering control simulation of underwater vehicle based on combined discrete-event and discrete-time modeling
DSANet: Deep surrounding-aware network for camouflaged object detection via cross-refinement mirror strategy
Heuristic recommendation technique in Internet of Things featuring swarm intelligence approach
Leveraging feature selection to detect potential tax fraudsters
Real-time hardware-in-the-loop approach for adaptive centralized protection schemes using clustering algorithms
A multistage and multiresolution deep convolutional neural network for inverse halftoning
A classifier for Bangla handwritten numeral recognition
Smart rebar progress monitoring using 3D point cloud model
Generalized multi-agent competitive reinforcement learning with differential augmentation
The bundled task assignment problem in mobile crowdsensing: A column generation-based solution approach
A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering