yusuke1997/dblp-id-title huggingface dataset:
Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications
DJMF: A discriminative joint multi-task framework for multimodal sentiment analysis based on intra- and inter-task dynamics
Hyperosmolar therapy response in traumatic brain injury: Explainable artificial intelligence based long-term time series forecasting approach
Differential evolution ensemble designer
Recognition of similar characters using gradient features of discriminative regions
Heterogeneous multivariate time series imputation by transformer model with missing position encoding
Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction
Detecting weak signals for long-term business opportunities using text mining of Web news
A reliable color image encryption scheme based on a novel dual-wing hyperchaotic map
An inverse reinforcement learning approach for truck route choice analysis with BeiDou navigation satellite system data in urban network
A common framework for information sharing in e-learning management systems
SD-YOLO-AWDNet: A hybrid approach for smart object detection in challenging weather for self-driving cars
Neural network based method for image halftoning and inverse halftoning
Aggregation in the analytic hierarchy process: Why weighted geometric mean should be used instead of weighted arithmetic mean
Comparing forecasting accuracy of selected grey and time series models based on energy consumption in Brazil and India
A survey of smart home energy conservation techniques
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis
Synergistic case-based reasoning in medical domains
A salient object segmentation framework using diffusion-based affinity learning
STAR: Empowering semi-supervised medical image segmentation with SAM-based teacher-student architecture and contrastive consistency regularization
A portfolio construction model based on sector analysis using Dempster-Shafer evidence theory and Granger causal network: An application to National stock exchange of India
A label knowledge graph powered multi-task framework for crowdsourcing and mobile crowd sensing tasks
Double-layer Q-learning guided NSGA-II for integrated production scheduling and inventory decision considering multi-product orders
TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach
EXP-GNN: Towards expressive propagation function design for graph neural network-based knowledge graph completion
Human intention recognition using context relationships in complex scenes
An escape-oriented multi-objective optimization algorithm using diverse external archives
TAAGNet: A graph-based multi-agent reinforcement learning framework for integrated production and AGV scheduling in dynamic hybrid flow shop with uncertain sequencing
A hierarchical guidance strategy assisted fruit fly optimization algorithm with cooperative learning mechanism
Dynamic decision making for situational awareness using drones: Requirements, identification and comparison of decision support methods
Planning for energy production from municipal solid waste: An optimal technology mix via a hybrid closed-loop system dynamics-optimization approach
Robust authentication using the unconstrained infrared face images
Identification of Wiener model using step signals and particle swarm optimization
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction
Swarm optimized organizing map (SWOM): A swarm intelligence basedoptimization of self-organizing map
Development and validation of interpretable machine learning models for photovoltaic panel temperature prediction
Measuring the performance improvement of a double generally weighted moving average control chart
Graph signal recovery using restricted Boltzmann machines
Developing a new integrated advanced driver assistance system in a connected vehicle environment
A method for member selection of R&D teams using the individual and collaborative information
Application of rough set and decision tree for characterization of premonitory factors of low seismic activity
Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick
DRL-S: Toward safe real-world learning of dynamic thermal management in data center
A corrected and improved symbiotic organisms search algorithm for continuous optimization
Privacy risk assessment and privacy-preserving data monitoring
Mean deep deterministic policy gradient algorithm for pursuit strategies in three-body confrontation
ADMit: Improving NER in automotive domain with domain adversarial training and multi-task learning
Cross-scene hyperspectral image classification based on cross-domain feature extraction and category decision collaborative optimization
A two-stage stochastic preference analysis on group decision making with interval additive preference relations
Context-aware selection of politeness level for polite mobile service in Korea
L-SSHNN: A Larger search space of Semi-Supervised Hybrid NAS Network for echocardiography segmentation
Optimizing Model Predictive Control horizons using Genetic Algorithm for Motion Cueing Algorithm
A neural network weight determination model designed uniquely for small data set learning
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN
ARREST: From work practices to redesign for usability
Autonomous sparse Markowitz portfolio based on two-stage accelerated forward-backward algorithm
Improved market segmentation by fuzzifying crisp clusters: A case study of the energy market in Spain
Collaborative multicenter vehicle routing problem with time windows and mixed deliveries and pickups
Multi-view orientational attention network combining point-based affinity for polyp segmentation
QoS-aware web services selection with intuitionistic fuzzy set under consumer's vague perception
Sentiment based multi-index integrated scoring method to improve the accuracy of recommender system
Classification of user competency levels using EEG and convolutional neural network in 3D modelling application
Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates
Complex knowledge base question answering with difficulty-aware active data augmentation
Leukocyte image segmentation using simulated visual attention
Single image deraining using scale constraint iterative update network
Multi visual feature fusion based fog visibility estimation for expressway surveillance using deep learning network
Tagging knowledge concepts for math problems based on multi-label text classification
Pattern recognition using neural-fuzzy networks based on improved particle swam optimization
Smoke recognition in steelmaking converter images: Class-distance-based feature selection model
A novel hybrid classification model of artificial neural networks and multiple linear regression models
An efficient multilevel color image thresholding based on modified whale optimization algorithm
Improved segmentation under extreme imbalance towards full background images
Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework
An island-based differential evolution algorithm with the multi-size populations
An expert system for generation of anti- G control schedule for jet fighter pilots
A vision-language foundation model for leaf disease identification
IBMRFO: Improved binary manta ray foraging optimization with chaotic tent map and adaptive somersault factor for feature selection
Removal notice to "Enforcing Transparent Access to Private Content in Social Networks by Means of Automatic Sanitization"
Problem solving and knowledge inertia
Knowledge discovery of concrete material using Genetic Operation Trees
Solving complex problems using model transformations: from set constraint modeling to SAT instance solving
Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19
Knowledge distillation via Noisy Feature Reconstruction
Fault diagnosis based on pulse coupled neural network and probability neural network
Global optimization of an optical chaotic system by Chaotic Multi Swarm Particle Swarm Optimization
An evolutionary Pentagon Support Vector finder method
Enhanced CRITIC-REGIME method for decision making based on Pythagorean fuzzy rough number
A Large Scale Group Three-Way Decision-based consensus model for site selection of New Energy Vehicle charging stations
Parameter-efficient multimodal adaptation for adverse condition depth estimation
High-resolution reconstruction of non-motorized trajectory in shared space: A new approach integrating the social force model and particle filtering
Optimization of fed-batch fermentation processes with bio-inspired algorithms
Likelihood ratio equivalence and imbalanced binary classification
Power partitioned neutral aggregation operators for T-spherical fuzzy sets: An application to H2 refuelling site selection
Measurement of Fitness Function efficiency using Data Envelopment Analysis
Stereo-based palmprint recognition in various 3D postures
EFJSP-IBDR: Energy-efficient flexible job shop scheduling under incentive-based demand response via graph reinforcement learning with dual attention mechanism
A comparison of neural network and multiple regression analysis in modeling capital structure
Framework for the automated generation of 2-dimensional architectural drawings from building information models using deep learning
Stock return system identification and multiple adaptive forecast algorithm for price trend forecasting
A high-effective swarm intelligence-based multi-robot cooperation method for target searching in unknown hazardous environments
A comparative study of word embedding techniques for classification of star ratings
A group AHP-TOPSIS framework for human spaceflight mission planning at NASA
On the analysis of reputation for agent-based web services
Spatiotemporal multi-graph convolutional networks with synthetic data for traffic volume forecasting
Utilizing advances in correlation analysis for community structure detection
CommonKADS analysis and description of a knowledge based system for the assessment of breast cancer
H3PTC: Hierarchical prompt-guided prototype learning for few-shot text classification
Multi-scale features fused network with multi-level supervised path for crowd counting
Multikernel semiparametric linear programming support vector regression
A deep learning method for locating fetal heart rate decelerations during labour using crowd-sourced data
Integrated optimization of assortment, inventory and pricing considering omnichannel retailer's risk aversion and customer's time preference
An application of investment decision with random fuzzy outcomes
An automatic filtering convergence method for iterative impulse noise filters based on PSNR checking and filtered pixels detection
Enhancing the safety and smoothness of path planning through an integration of Dijkstra's algorithm and piecewise cubic Bezier optimization
Learning ladder neural networks for semi-supervised node classification in social network
FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions
Graph convolutional network-based credit default prediction utilizing three types of virtual distances among borrowers
A deep reinforcement learning framework for optimized dummy pad placement in PCB electroplating
AC-ABAC: Attribute-based access control for electronic medical records during acute care
Strategic linkage process and value-driven system: A dynamic analysis of high-tech firms in a newly-industrialized country
A Convolutional Neural Network approach for image-based anomaly detection in smart agriculture
RMP-adapter: A region-based Multiple Prompt Adapter for multi-concept customization in text-to-image diffusion model
An exact routing optimization model for bio-waste collection in the Brussels Capital Region
Radiologist-inspired Symmetric Local-Global Multi-Supervised Learning for early diagnosis of pneumoconiosis
In-context learning enhanced by multi-perspective sequential retrieval and predictive feedback for few-shot aspect-based sentiment analysis
Intrusion detection system for shipping communication networks based on federated distillation learning
An automatic diagnosis method for the knee meniscus tears in MR images
Hybrid learning framework integrating fisher linear discriminant and localized support vector machines
Application of Soft Actor-Critic algorithms in optimizing wastewater treatment with time delays integration
Spiking Depth: Depth estimation from sparse events with spiking neural networks
Interpretable named entity recognition via integrating logical rule learning with deep neural networks
Markov-based continuous learning with diversion of data distribution direction for streaming data in limited memory
Robust data clustering by learning multi-metric Lq-norm distances
Radiomics knowledge-driven deep learning framework for breast cancer ultrasound video diagnosis
Decision tree-based technology credit scoring for start-up firms: Korean case
Virtual organizational design laboratory: Agent-based modeling of the co-evolution of social service delivery networks with population dynamics
Robust face descriptor in unconstrained environments
Cooperative co-evolutionary differential evolution algorithm applied for parameters identification of lithium-ion batteries
Dynamic range compression method for high radiometric resolution remote sensing images using contrastive learning
A novel end-to-end neural network for simultaneous filtering of task-unrelated named entities and fine-grained typing of task-related named entities
Universal pooling - A new pooling method for convolutional neural networks
Synchronizing heuristics: Speeding up the fastest
A fuzzy-Bayesian model for supplier selection
Two-layer coordinated reinforcement learning for traffic signal control in traffic network
Adjustable cash inflows based online investment decision making
Leveraging mamba for reference audio-visual segmentation with vote and cache mechanism
A hybrid evolutionary immune algorithm for fuzzy flexible job shop scheduling problem with variable processing speeds
Mobile value chain collaboration for product diffusion: Role of the lifecycle
A cascade approach for automatic segmentation of cardiac structures in short-axis cine-MR images using deep neural networks
A hybrid AC3-tabu search algorithm for solving Sudoku puzzles
Robust adaptive fuzzy logic power system stabilizer
A spatiotemporal identification method for deformation characteristics of expansive soil canal slope based on spectral clustering
Comprehension of business process models: Insight into cognitive strategies via eye tracking
Novel shape control system of hot-rolled strip based on machine learning fused mechanism model
The development of a weighted evolving fuzzy neural network for PCB sales forecasting
Attention-guided universal adversarial perturbations for EEG-based brain-computer interfaces
Multilayer network link prediction considering multiple correlation features
Enhancing corporate bankruptcy prediction via a hybrid genetic algorithm and domain adaptation learning architecture
Short-term combined economic emission hydrothermal scheduling using improved quantum-behaved particle swarm optimization
Opinion mining for multiple types of emotion-embedded products/services through evolutionary strategy
Reducing the negative effects of sales promotions in supply chains using genetic algorithms
A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer
Corrigendum to "Hybrid computational models for the characterization of oil and gas reservoirs" [Experts Systems with Applications 36 (7) (2010) 5353-5363]
Heterogeneous Multi-Agent Reinforcement Learning based on Modularized Policy Network
Detecting collusive spammers on e-commerce websites based on reinforcement learning and adversarial autoencoder
B 2 model: A browsing behavior model based on High-Level Petri Nets to generate behavioral patterns for e-learning
Novel fuzzy matrix swap algorithm for fuzzy directed graph on image processing
TriHorn-Net: A model for accurate depth-based 3D hand pose estimation
A real-time UAV delivery system considering dock selection and spatial conflict
P2AT: Pyramid pooling axial transformer for real-time semantic segmentation
Dynamic multi-objective optimization using historical evolutionary learning with global alignment local descriptor matching and collaborative guidance
Enhancing group recommendation performance by integrating individual prediction uncertainty
Classification with noisy labels through tree-based models and semi-supervised learning: A case study of lithology identification
Exploiting Pareto distribution for user modeling in location-based information retrieval
Feature selection for medical diagnosis : Evaluation for cardiovascular diseases
Taxi dispatching strategies with compensations
Explainable inflation forecasts by machine learning models
Volatility model based on multi-stock index for TAIEX forecasting
A dual placement strategy for DG and D-STATCOM units using multi-objective optimization in an Iraqi radial distribution system
An evolutionary algorithmic approach to determine the Nash equilibrium in a duopoly with nonlinearities and constraints
Context-aware decision making under uncertainty for voice-based control of smart home
An innovative and adaptive deep Markov random field-based retailing prediction framework in big data analytics with improved mud ring optimizer
SECNet: Spatially enhanced channel-shuffled network with interactive contextual aggregation for medical image segmentation
A comparative study on ILP-based concept discovery systems
Prototype wireless sensor network and Internet of Things platform for real-time monitoring of intergranular equilibrium moisture content and predict the quality corn stored in silos bags
Micro multi-objective genetic algorithm with information fitting strategy for low-power microprocessor
Deep residual network for face sketch synthesis
Conditional graphical models for systemic risk estimation
Forecasting of thermal energy storage performance of Phase Change Material in a solar collector using soft computing techniques
Artificial Neural Network training using metaheuristics for medical data classification: An experimental study
Creating a specific domain ontology for supporting R&D in the science-based sector - The case of biosensors
Fusion of stability and multi-objective optimization for solving cancer tissue classification problem
Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets
A hybrid particle swarm optimization algorithm for satisficing data envelopment analysis under fuzzy chance constraints
Weighted fuzzy interpolative reasoning for sparse fuzzy rule-based systems
A sparse nonparametric hierarchical Bayesian approach towards inductive transfer for preference modeling
Minimizing the multimodal functions with Ant Colony Optimization approach
SOM ensemble for unsupervised outlier analysis. Application to outlier identification in the Gaia astronomical survey
Pedagogical agent in Multimedia Interactive Modules for Learning - MIMLE
SADiff: Structure-aware diffusion model for enhancing prostate multiphoton microscopy imaging
Information sharing strategy in supply chains: The role of C2M
A semantic fuzzy expert system for a fuzzy balanced scorecard
Integrated design of sustainable supply chain and transportation network using a fuzzy bi-level decision support system for perishable products
Discovering utility-based episode rules in complex event sequences
Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot
Fusing context and path with efficient negative sampling and retrieval for inductive link prediction
Effective plant disease diagnosis using Vision Transformer trained with leafy-generative adversarial network-generated images
Team formation and alternative selection strategies based on bidirectional interaction performance measurement
A hybrid approach using data envelopment analysis and case-based reasoning for housing refurbishment contractors selection and performance improvement
An expert system for highway construction: Multi-objective optimization using enhanced particle swarm for optimal equipment management
CerCan·Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning
A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment
An Ontology-based approach to Knowledge-assisted Integration and Visualization of Urban Mobility Data
Metaheuristic approach for an enhanced mRMR filter method for classification using drug response microarray data
Applying evolutionary prototyping model in developing FIDSS: An intelligent decision support system for fish disease/health management
MGTNSyn: Molecular structure-aware graph transformer network with relational attention for drug synergy prediction
Text data augmentations: Permutation, antonyms and negation
An effective end-to-end android malware detection method
Measure of similarity between interval-valued fuzzy numbers for fuzzy recommendation process based on quadratic-mean operator
Defect spatial pattern recognition using a hybrid SOM-SVM approach in semiconductor manufacturing
A practical approach to bankruptcy prediction for small businesses: Substituting the unavailable financial data for credit card sales information
Integrating spatial and color information in images using a statistical framework
A novel approach for b-value optimization in Intravoxel Incoherent Motion Imaging using Metaheuristic algorithm
Automatic vison-based volume estimation of dump loading for real-time earthwork productivity assessment
Intelligent prediction for support resistance in working faces of coal mine: A research based on deep spatiotemporal sequence models
A framework for data transformation in Credit Behavioral Scoring applications based on Model Driven Development
An automatic trading system for fuzzy portfolio optimization problem with sell orders
K-core percolation and node protection strategy for edge-coupling partially interdependent networks
Individual and group behavior-based customer profile model for personalized product recommendation
Markov-based genetic algorithm with ϵ-greedy exploration for Indian classical music composition
Geographic Named Entity Recognition and Disambiguation in Mexican News using word embeddings
FedFA: Efficient federated large language models with feature adapters
Co-evolutionary dynamics of multi-source information and traffic congestion based on multiplex metapopulation networks
An efficient evolutionary feature selection algorithm with divide-and-conquer strategy for classification
Fuzzy aggregation operators in decision making with Dempster-Shafer belief structure
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework
Selection of projects for automotive assembly structures using a hybrid method composed of the group-input compatible, best-worst method for criteria weighting and TrBF-TOPSIS
User behaviors toward mobile data services: The role of perceived fee and prior experience
The unsupervised short text classification method based on GCN encoder-decoder and local enhancement
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection
Joint extraction of biomedical overlapping triples through feature partition encoding
Optimal selection of potential customer range through the union sequential pattern by using a response model
A novel grey possibility clustering method based on inverse perspective and its applications
HA-Transformer: Harmonious aggregation from local to global for object detection