yusuke1997/dblp-id-title huggingface dataset:
Prediction of gas concentration evolution with evolutionary attention-based temporal graph convolutional network
Innovative solutions for plant disease identification: Leveraging DCoS-WOR and spiking neural networks
Trust based recommender system using ant colony for trust computation
Reliability analysis of the complex mode indicator function and Hilbert Transform techniques for operational modal analysis
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images
Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review
Support vector machine with eagle loss function
DA-QuadViT: A domain adaptation motor imagery classification model based on a novel Quadruple ViT structure
A Geese PSO tuned fuzzy supervisor for EKF based solutions of simultaneous localization and mapping (SLAM) problems in mobile robots
Research on cooperative motion control of USV and UAV based on sliding mode self-immunity control
A genetic fuzzy k-Modes algorithm for clustering categorical data
Cycle time analysis for cluster tools with parallel process chambers, processing time variation, and chamber cleaning operations
Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning
A method for group decision-making based on multi-granularity uncertain linguistic information
Forecasting short-term wind power with multi-view attention mechanism and dual recurrent neural networks
Traffic sensor location problem: Three decades of research
Exploiting and transferring presentational knowledge assets in R&D organizations
A comprehensive decision-making model for risk management of supply chain
An integrated information system for product design planning
Improving stock market volatility forecasts with complete subset linear and quantile HAR models
EIDNet: Extragradient-based iterative denoising network for image compressive sensing reconstruction
A convolutional neural network-based lightweight motion deblurring method for autonomous visual target tracking in bionic robotic fish
Digital twin for electric vehicle battery management with incremental learning
Use of neural network to model X-ray photoelectron spectroscopy data for diagnosis of plasma etch equipment
Fuzzy Naive Bayes with Gaze-Behavior-Aware attention for accurate intention inference
Towards a decision-aware declarative process modeling language for knowledge-intensive processes
Dynamic LADRC-Based CFOA-LSTM MPPT optimizer for enhancing Grid-Connected renewable energy sources
Dynamic heterogeneous graph representation based on adaptive negative sample mining via high-fidelity instances and context-aware uncertainty learning
Representation learning using Attention Network and CNN for Heterogeneous networks
Constrained evolutionary optimization based on dynamic knowledge transfer
Deep learning-based image outpainting of finger-vein image
Teacher-student knowledge distillation based on decomposed deep feature representation for intelligent mobile applications
Comparative study on the performance of different machine learning techniques to predict the shear strength of RC deep beams: Model selection and industry implications
Semantic distillation and enhanced diagnostic alignment: A novel approach for depression detection in social media
Sense the pen: Classification of online handwritten sequences (text, mathematical expression, plot/graph)
Designing a virtual cellular manufacturing system with route selection and workers' considerations: A multi-objective robust possibilistic model
The construct and application of knowledge diffusion model
Hyper-heuristic method for multilevel thresholding image segmentation
Adaptive graph active learning with mutual information via policy learning
Operator learning-based springback behavior prediction for complex-shaped tube free-bending forming
Complex forecasting and investment strategy optimization via chain-of-thought of large language models
ECS-Net: Extracellular space segmentation with contrastive and shape-aware loss by using cryo-electron microscopy imaging
A Max-Min Ant System algorithm to solve the Software Project Scheduling Problem
Automated EEG signal classification using chaotic local binary pattern
Bi-directional dual contrastive adapting method for alleviating hallucination in visual question answering
A Shapley value index on the importance of variables in DEA models
Black-box adversarial attacks against image quality assessment models
Using direction and score information for retina based person verification
Application of genetic programming for modelling of material characteristics
Novel Signal-to-Signal translation method based on StarGAN to generate artificial EEG for SSVEP-based brain-computer interfaces
Development of fast photoacoustic and ultrasound imaging system based on slider-crank scanner for small animals and humans study
A numerical verification method for multi-class feed-forward neural networks
Dynamic representation of fuzzy knowledge based on fuzzy petri net and genetic-particle swarm optimization
An edge detection framework conjoining with IMU data for assisting indoor navigation of visually impaired persons
Here are the answers. What is your question? Bayesian collaborative tag-based recommendation of time-sensitive expertise in question-answering communities
Clustering and visualization of failure modes using an evolving tree
Anomaly detection based on a granular Markov model
Scale and pattern adaptive local binary pattern for texture classification
A deep-learning-based approach for simulating pedestrian turning flow
Opinion leader detection: A methodological review
The measurement and early warning of daily financial stability index based on XGBoost and SHAP: Evidence from China
Corrigendum "Conflict resolution in a knowledge-based system using multiple attribute decision-making" [Experts Systems with Applications 36 (9) (2009) 11552-11558]
To regularize or not: Revisiting SGD with simple algorithms and experimental studies
An intelligent forecasting model based on robust wavelet ν-support vector machine
A hybrid CAD system for lung nodule detection using CT studies based in soft computing
An efficient slime mould algorithm for solving multi-objective optimization problems
Scheme-based theorem discovery and concept invention
FlowSort-GDSS - A novel group multi-criteria decision support system for sorting problems with application to FMEA
An improved information volume of mass function based on plausibility transformation method
A library for automatic natural language generation of spanish texts
COMEX: A cost management expert system
Decision support system in health care building design based on case-based reasoning and reinforcement learning
Design automation of a lossless multiport network and its application to image filtering
Machine learning-based multi-documents sentiment-oriented summarization using linguistic treatment
Twin support vector quantile regression
Estimating Japanese bank performance: Stochastic entropic analysis on the basis of ideal solutions
Locally similar multi-hop fusion GNNs with data augmentation for early Alzheimer's detection
3D modeling from a single sketch with multifaceted semantic understanding
Neural network analysis of internal carotid arterial Doppler signals: predictions of stenosis and occlusion
Comprehensive analysis of the heterogeneous computing performance of DNNs under typical frameworks on cloud and edge computing platforms
Competences-based performance model of multi-skilled workers with learning and forgetting
An embedding and interactions learning approach for ID feature in deep recommender system
Accurate and efficient 3D hand pose regression for robot hand teleoperation using a monocular RGB camera
Manufacturer selling channel structure choice under retailer demand-enhancement investment with dual-purpose firms
A comparative evaluation of aggregation methods for machine learning over vertically partitioned data
NNVDC: A new versatile density-based clustering method using k -Nearest Neighbors
Knowledge interoperability and re-use in Empathy Mapping: an ontological approach
A multioperator genetic algorithm for the traveling salesman problem with job-times
Sustainable procurement with Coloured Petri Nets. Application and extension of the proposed model
Metaheuristic based solution approaches for the obstacle neutralization problem
Expert and community based style advice
Effective and diverse POI recommendations through complementary diversification models
TCDT: A trust-enabled crowdsourced data trading system in intelligent blockchain over Internet of Things
Development of a fuzzy-nets-based in-process surface roughness adaptive control system in turning operations
Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search
Speeding up single-query sampling-based algorithms using case-based reasoning
Some alternative DEA models for two-stage process
Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss
Two-stage intelligent dispatching strategy of PIES based on sharing mechanism
How hard is my imbalanced classification task? - An explainable supervised approach
Forecasting seasonally fluctuating sales of perishable products in the horticultural industry
Web based medical decision support system application of Coronary Heart Disease diagnosis with Boolean functions minimization method
An extensive study of C-SMOTE, a Continuous Synthetic Minority Oversampling Technique for Evolving Data Streams
Enhanced diagnostic accuracy for multiple lung diseases using a fine-tuned MobileNetV2 model with advanced pre-processing techniques
A compound of feature selection techniques to improve solar radiation forecasting
Artificial neural networks for adaptive control of profiled haemodialysis in patients with renal insufficiency
Wavelet support vector machine for induction machine fault diagnosis based on transient current signal
Interpretable logic tree analysis: A data-driven fault tree methodology for causality analysis
Margin-based ensemble classifier for protein fold recognition
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering
Customized prediction of attendance to soccer matches based on symbolic regression and genetic programming
Discovery of high utility itemsets from on-shelf time periods of products
Forecasting output of integrated circuit industry by support vector regression models with marriage honey-bees optimization algorithms
A First Route Second Assign decomposition to enforce continuity of care in home health care
Applying text-mining to personalization and customization research literature - Who, what and where?
Energy-driven TBM health status estimation with a hybrid deep learning approach
Evaluating heuristics for tabletop user segmentation based on simultaneous interaction
A novel deep clustering network using multi-representation autoencoder and adversarial learning for large cross-domain fault diagnosis of rolling bearings
Solving many-task optimization problems via online intertask learning
Statistically testing training data for unwanted error patterns using rule-oriented regression
The application of rough set and Mahalanobis distance to enhance the quality of OSA diagnosis
Information extraction from syllabi for academic e-Advising
VoiceXML dialog system of the multimodal IP-Telephony - The application for voice ordering service
Q-rater: A collaborative reputation system based on source credibility theory
Decoding visual neural representations by multimodal with dynamic balancing
A conditional masked autoencoder network based on efficient multiple-head self-attention for characterizing heterogeneous reservoirs
A new fuzzy DEA network based on possibility and necessity measures for agile supply chain performance evaluation: A case study
VSTAR: Visual Semantic Thumbnails and tAgs Revitalization
Scheduling distributed heterogeneous non-permutation flowshop to minimize the total weighted tardiness
Learning high-resolution 3D spine mesh reconstruction from clinical anisotropic MRI through differentiable rendering
Detecting the shuttlecock for a badminton robot: A YOLO based approach
A hybrid adaptive large neighbourhood search algorithm for the capacitated location routing problem
A coalition formation framework of smallholder farmers in an agricultural cooperative
Support vector machine-based multi-source multi-attribute information integration for situation assessment
Development of an intelligent recognition system for dynamic mid-air gesticulation of isolated alphanumeric keys
Reversible data hiding using morphology based pixel classification
Integrated and interactive method for solving layout optimization problems
Multivariate time series prediction with multi-feature analysis
Automatic grading assessments of wearable ECG critical value via deep adaptive-asymmetric PRank algorithm
Unsupervised fault detection with multi-source anomaly sensitivity enhancing convolutional autoencoder for high-speed train bogie bearings
Locating emergency facilities with random demand for risk minimization
Regularizing cross-attention learning for end-to-end speech translation with ASR and MT attention matrices
An optimal tumor marker group-coupled artificial neural network for diagnosis of lung cancer
Advanced hybrid deep learning approach for automated OSCC classification using improved pattern-based features
Detecting worker collusion in crowdsourcing: Methods, datasets, and challenges
FedGCLRec: Federated graph contrastive learning framework for social influence recommendations
An active contour model driven by adaptive local pre-fitting energy function based on Jeffreys divergence for image segmentation
Application of small sample virtual expansion and spherical mapping model in wind turbine fault diagnosis
Proposing suitable data imputation methods by adopting a Stage wise approach for various classes of smart meters missing data - Practical approach
Light-ShmooNet - A lightweight convolutional neural network for automated classification of shmoo plot with high accuracy
Grey quantum group decision and its application in meteorological disaster emergency
A linguistic Pythagorean hesitant fuzzy MULTIMOORA method for third-party reverse logistics provider selection of electric vehicle power battery recycling
Who evaluates the evaluators? On automatic metrics for assessing AI-based offensive code generators
Multivariate time series classification based on fusion features
Learning joint relationship attention network for image captioning
A scalable accuracy fuzzy logic controller on FPGA
Benchmarking of service quality with data envelopment analysis
Forecasting the probability of finding oil slicks using a CBR system
A combination of fuzzy similarity measures and fuzzy entropy measures for supervised feature selection
Decision tree models for characterizing smoking patterns of older adults
Estimating confidence of individual rating predictions in collaborative filtering recommender systems
Semi-supervised learning with generative model for sentiment classification of stock messages
Time series forecasting by neural networks: A knee point-based multiobjective evolutionary algorithm approach
K nearest neighbor reinforced expectation maximization method
IGA-Net: an iterative low-light micro-hole inner wall image enhancement network via global illumination modulation and adaptive feature optimization
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization
Application of self organizing maps for investigating network latency on a broadcast-based distributed shared memory multiprocessor
Learning-based acoustic displacement field modeling and micro-particle control
An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production
A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis
A hybrid supervised semi-supervised graph-based model to predict one-day ahead movement of global stock markets and commodity prices
New results for robust stability of dynamical neural networks with discrete time delays
An interval construction belief rule base with interpretability for complex systems
Dual-branch deep learning architecture for enhanced hourly global horizontal irradiance forecasting
Aviatic innovation system construction using a hybrid fuzzy MCDM model
Decision support model for prioritizing railway level crossings for safety improvements: Application of the adaptive neuro-fuzzy system
Time-frequency attention mechanism-based model for enhancing wind speed prediction accuracy
An online Bayesian filtering framework for Gaussian process regression: Application to global surface temperature analysis
A novel alpha-level sets based fuzzy DEMATEL method considering experts' hesitant information
Analysis of sleep EEG activity during hypopnoea episodes by least squares support vector machine employing AR coefficients
Increase attractor capacity using an ensembled neural network
A column generation based heuristic algorithm for piecewise linear regression
A comparative study of the multi-objective optimization algorithms for coal-fired boilers
Enhancing peer-to-peer collaboration using trust
Dynamic case-based emergency decision-making model under time-varying single-valued neutrosophic set
Handling class imbalance in customer churn prediction
Unsupervised re-parametrization for simultaneous dimension reduction and surrogate modeling: Application to aerodynamic shape optimization
A stratified approach to function fingerprinting in program binaries using diverse features
Multiple writer retrieval systems based on language independent dissimilarity learning
A new descriptor for person identity verification based on handwritten strokes off-line analysis
Robust data expansion for optimised modelling using adaptive neuro-fuzzy inference systems
An Advisor Neural Network framework using LSTM-based Informative Stock Analysis
Monthly streamflow forecasting based on improved support vector machine model
Analyzing supply chain operation models with the PC-algorithm and the neural network
Convolutional neural network with transfer learning approach for detection of unfavorable driving state using phase coherence image
The assessment of evolutionary algorithms for analyzing the positional accuracy and uncertainty of maps
An exact algorithm for the flexible multilevel project scheduling problem
Using swarm intelligence algorithms to detect influential individuals for influence maximization in social networks
Dynamic proportion portfolio insurance using genetic programming with principal component analysis
A novel image-based convolutional neural network approach for traffic congestion estimation
A generic long-tail alleviation framework for session-based recommendation combining weight diversity and causal analysis
FAIR: Fuzzy-BDI agents for intelligent reasoning on smart cyber-physical systems
An extended robust approach for a cooperative inventory routing problem
A dynamic spatio-temporal graph neural network with global and local perception for remaining useful life prediction
Reverse engineering expert visual observations: From fixations to the learning of spatial filters with a neural-gas algorithm
Multi-Way adaptive Time Aware LSTM for irregularly collected sequential ICU data
Automatic superpixel-based segmentation method for breast ultrasound images
An incremental type-2 fuzzy classifier for stock trend prediction
Analyzing of CPFR success factors using fuzzy cognitive maps in retail industry
Novel strict intuitionistic fuzzy similarity measures-based on fuzzy negation and their applications
Distributionally-robust chance-constrained optimization of selective maintenance under uncertain repair duration
A hybrid FAIR and XGBoost framework for cyber-risk intelligence and expected loss prediction
Multi-modal multi-hop interaction network for dialogue response generation
Instance selection for regression by discretization
A multi-agent system using iterative bidding mechanism to enhance manufacturing agility
Topic-sensitive expert finding based solely on heterogeneous academic networks
A case-based reasoning system for PCB defect prediction
An automatic apnea screening algorithm for children
Unsupervised system to classify SO 2 pollutant concentrations in Salamanca, Mexico
Structure of Multi-Stage Composite Genetic Algorithm (MSC-GA) and its performance
BNQM: A Bayesian Network based QoS Model for Grid service composition
Efficient aggregate distribute network for tiny defect detection
iAMP-EmGCN: A new design for identifying antimicrobial peptides based on BERT and Graph Convolutional Network
Feature selection for high-dimensional multi-category data using PLS-based local recursive feature elimination
An intelligent fuzzy-based recommendation system for consumer electronic products
The art of time-bending: Data augmentation and early prediction for efficient traffic classification
A branch-and-cut approach for the vehicle routing problem with loading constraints
Quantum entanglement inspired hard constraint handling for operations engineering optimization with an application to airport shift planning
Wavelet based control for a class of delayed nonlinear systems with input constraints
Modeling basketball play-by-play data
Predicting TSV depth using laser drilling by simulation model and neural network
Ticino: A multi-modal remote sensing dataset for semantic segmentation
A data reduction strategy and its application on scan and backscatter detection using rule-based classifiers
Expected-mean gamma-incremental reinforcement learning algorithm for robot path planning
Train routing in shunting yards using Answer Set Programming
An efficient job-shop scheduling algorithm based on particle swarm optimization
ComposeInStyle: Music composition with and without Style Transfer
A learning automata based approach for module placement in fog computing environment
HMambaOcc: Hierarchical Mamba for occupancy flow field prediction in autonomous driving under mixed traffic environments
Graph-based technology recommendation system using GAT-NGCF
Multi-view contrastive and cluster-guided learning for author name disambiguation
Enhanced Kepler optimization for efficient penetration of PV sources integrated with STATCOM devices in power distribution systems
Dynamic texture analysis and segmentation using deterministic partially self-avoiding walks
A new heuristic for multilevel thresholding of images
Unmanned surface vessel routing and unmanned aerial vehicle swarm scheduling for off-shore wind turbine blade inspection
Neural network for dynamic human motion prediction
Discriminating the default risk of small enterprises: Stacking model with different optimal feature combinations
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services
Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach
Unsupervised neural networks for automatic Arabic text summarization using document clustering and topic modeling
A high-precision and lightweight ore particle segmentation network for industrial conveyor belt
Multi-objective optimization based on ant colony optimization in grid over optical burst switching networks
Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction
Cross lingual transfer learning for sentiment analysis of Italian TripAdvisor reviews
Clustering and visualization of bankruptcy trajectory using self-organizing map
A fuzzy-based decision aid method for product deletion of fast moving consumer goods
Clustering Search for the Berth Allocation Problem
Prediction and optimization of pure electric vehicle tire/road structure-borne noise based on knowledge graph and multi-task ResNet
Interval competitive agglomeration clustering algorithm
A novel fractional grey system model with non-singular exponential kernel for forecasting enrollments
Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation