yusuke1997/dblp-id-title huggingface dataset:
Multi-dimensional assignment model and its algorithm for multi-features decision-making problems
Big data analytics and machine learning: A retrospective overview and bibliometric analysis
3D segmentation of neuronal nuclei and cell-type identification using multi-channel information
Guaranteed-selling service of online used-car reselling platform: Feasibility and applicability compared with conventional resell and agency resell
ToRank: Identifying the most influential suspicious domains in the Tor network
Dynamic recommender system for chronic disease-focused online health community
Dependency-aware software requirements selection using fuzzy graphs and integer programming
An empirical evaluation of attribute control charts for monitoring defects
Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform
A 2-tuple fuzzy linguistic model for recommending health care services grounded on aspect-based sentiment analysis
A hybrid method of link prediction in directed graphs
MED: A multi-encoder-decoder architecture for mixed-frequency data forecasting
A bi-level programming methodology for decentralized mining supply chain network design
Adaptive multi-horizon point-interval forecasting for wind power
Continental generalization of a human-in-the-loop AI system for clinical seizure recognition
Handling missing values and imbalanced classes in machine learning to predict consumer preference: Demonstrations and comparisons to prominent methods
Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic
Detecting and exploring deviating behaviour of smart home residents
An improved FMEA method based on the expert trust network for maritime transportation risk management
Applying hybrid data mining techniques to web-based self-assessment system of Study and Learning Strategies Inventory
Broadcast scheduling in wireless sensor networks using fuzzy Hopfield neural network
Investigation of the mechanical behavior of trapezoidal roofing sheets using genetic algorithms
Multi-source knowledge fusion for multilingual loanword identification
Optimal design of FIR fractional order differentiator using cuckoo search algorithm
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering
An experienced learning genetic algorithm to solve the single machine total weighted tardiness scheduling problem
Cross-city traffic state prediction based on knowledge transfer framework
Expert system for low frequency adaptive image watermarking: Using psychological experiments on human image perception
A Multi-Expert System for chlorine electrolyzer monitoring
Advancing congenital heart defects screening from chest X-ray with multi-organ feature consistency and fusion learning
Fast hypercomplex continuous orthogonal moments
An interactive method for dynamic intuitionistic fuzzy multi-attribute group decision making
TransADMM: Transformer enhanced unrolling alternating direction method of multipliers framework for electrical impedance tomography
Improved human emotion recognition from body and hand pose landmarks on the GEMEP dataset using machine learning
Bank financing or e-commerce platform financing: Green supply chain financing strategies with blockchain integration
Coordinated low-carbon economic scheduling of integrated electricity-heat-gas-hydrogen-methanol multi-microgrids considering electricity-methanol transaction
Reverse-graph enhanced graph neural networks for session-based recommendation
A neural-AdaBoost based facial expression recognition system
A new hybrid heuristic algorithm based on bacterial foraging optimization for the dynamic facility layout problem
Forecasting and trading credit default swap indices using a deep learning model integrating Merton and LSTMs
Intelligent phishing detection system for e-banking using fuzzy data mining
Short-term load forecasting using lifting scheme and ARIMA models
Hierarchical motion control framework based on SLM-guided and learning-enhanced NMPC for autonomous underwater vehicles
A Machine Learning-based system for berth scheduling at bulk terminals
Fuzzy expert system for predicting pathological stage of prostate cancer
Motion segmentation with event camera: N-patches optical flow estimation and Pairwise Markov Random Fields
A matheuristic algorithm for the share-a-ride problem
Multi-rule combination prediction of compositional data time series based on multivariate fuzzy time series model and its application
Modeling journal quality evaluation by enhancing population diversity based gene expression programming
Optimization strategy for longitudinal slip characteristics of unmanned ground vehicles with variable structures
Predicting the protein solubility by integrating chaos games representation and entropy in information theory
Automatic detection of musicians' ancillary gestures based on video analysis
DEFNet: A dual-encoder feature fusion network for collaborative multi-task segmentation and predictive modeling in breast DCE-MRI
A method for automatic stock trading combining technical analysis and nearest neighbor classification
A theoretical review on solving algebra problems
Estimation of a data-collection maturity model to detect manufacturing change
Recognizing unknown objects with attributes relationship model
Image classification and retrieval using optimized Pulse-Coupled Neural Network
Implementing automated diagnostic systems for breast cancer detection
A comparative study of different texture features for document image retrieval
Transparent fault diagnosis for magnetic control circuit Breakers: A ViT-Based unsupervised approach
Temporal segmentation and keyframe selection methods for user-generated video search-based annotation
Artificial datasets for hierarchical classification
A fuzzy quality control-decision support system for improving operational reliability of liquid transfer operations in laboratory automation
An intelligent condition-based maintenance platform for rotating machinery
A neural network approach to predicting price negotiation outcomes in business-to-business contexts
Delay-sensitive compound service function chain deployment in multi-provider edge cloud: A learning-based approach
Impact of benign sample size on binary classification accuracy
One-step vs horizon-step training strategies for multi-step traffic flow forecasting with direct particle swarm optimization grid search support vector regression and long short-term memory
Prioritized Experience Replay based on Multi-armed Bandit
Recommending untapped M&A opportunities: A combined approach using principal component analysis and collaborative filtering
Managing uncertainty in location services using rough set and evidence theory
Fault diagnosis in industrial chemical processes using interpretable patterns based on Logical Analysis of Data
DHF-Net: A hierarchical feature interactive fusion network for dialogue emotion recognition
Unsupervised online anomaly detection in Software Defined Network environments
CNN-based automatic modulation recognition for index modulation systems
MA-EMD: Aligned empirical decomposition for multivariate time-series forecasting
CORF3D contour maps with application to Holstein cattle recognition from RGB and thermal images
Adaptive semi-unsupervised weighted oversampling (A-SUWO) for imbalanced datasets
EEG sub-bands based sleep stages classification using Fourier Synchrosqueezed transform features
Data sanitization in association rule mining: An analytical review
Parameterisation of domain knowledge for rapid and iterative prototyping of knowledge-based systems
A fuzzy stochastic multi-criteria model for the selection of urban pervious pavements
A novel decision rules approach for customer relationship management of the airline market
Design of a modular neural network based on an improved soft subspace clustering algorithm
To compete or cooperate? This is the question in communities of autonomous services
Discrete aggregation hashing for image set classification
Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot
Multi-task oriented team formation in online collaborative learning
Network-level aircraft trajectory planning via multi-agent deep reinforcement learning: Balancing climate considerations and operational manageability
Symmetric Renyi-Permutation divergence and conflict management for random permutation set
Feature Reconstruction-guided Transductive Few-Shot Learning with Distribution Statistics Optimization
A novel STFT-ranking feature of multi-channel EMG for motion pattern recognition
Nataf-KernelDensity-Spline-based point estimate method for handling wind power correlation in probabilistic load flow
SQCS: A sustainable quality control system for spatial crowdsourcing via three-party evolutionary game: Theory and practice
High-end equipment: An improved two-sided based S&M matching and a novel Pareto refining method considering consistency
Identification of QRS complexes in 12-lead electrocardiogram
Deterministic reinforcement learning for optimized formation control of virtually-coupled trains via performance index monitor
Adaptive Segmentation and Sequence Learning of human activities from skeleton data
Forecasting the output of integrated circuit industry using genetic algorithm based multivariable grey optimization models
Portfolios selection decision model for equipment system of systems considering development costs
Using hierarchical network data envelopment analysis to explore the performance of national research and development organizations
A knowledge-driven cooperative scatter search algorithm with reinforcement learning for the distributed blocking flow shop scheduling problem
Tree-RNN: Tree structural recurrent neural network for network traffic classification
DMF-ED: a dual-modal fusion model for emergency department service demand forecasting
A functional-commercial analysis strategy for product conceptualization
Optimal selection of media vehicles using customer databases
An effective and conceptually simple feature representation for off-line text-independent writer identification
A novel hierarchical feature selection with local shuffling and models reweighting for stock price forecasting
Modelling epistasis in genetic disease using Petri nets, evolutionary computation and frequent itemset mining
Effects of loss function and data sparsity on smooth manifold extraction with deep model
A persona aware persuasive dialogue policy for dynamic and co-operative goal setting
From machine learning to semi-empirical formulas for estimating compressive strength of Ultra-High Performance Concrete
Drug-target interactions prediction via graph isomorphic network and cyclic training method
Mining product maps for new product development
Knowledge distillation from single-label to multi-label with class activation maps
Web objectionable text content detection using topic modeling technique
DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy
Application of adaptive neuro-fuzzy inference system for detection of electrocardiographic changes in patients with partial epilepsy using feature extraction
Incremental fuzzy supervisory controller design for optimizing the injection molding process
An automated vision system for container-code recognition
Risk evaluation of livestream e-commerce platforms based on expert trust networks and CODAS
PHD filter for vehicle tracking based on a monocular camera
A web based decision support system driven by fuzzy logic for the diagnosis of typhoid fever
Data mining based on clustering and association rule analysis for knowledge discovery in multiobjective topology optimization
MEANet: An effective and lightweight solution for salient object detection in optical remote sensing images
Multi-task transformer network for subject-independent iEEG seizure detection
FeatureBA: Hard label black box attack based on internal layer features of surrogate model
Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power
Developing a secure image encryption technique using a novel S-box constructed through real-coded genetic algorithm's crossover and mutation operators
Fake spreader is narcissist; Real spreader is Machiavellian prediction of fake news diffusion using psycho-sociological facets
A random feature mapping method based on the AdaBoost algorithm and results fusion for enhancing classification performance
An online collaborative semiconductor yield forecasting system
Multi-data fusion approach for surface defect detection and quality grading of particleboards
Delay-sensitive tasks offloading in multi-access edge computing
Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss
How to value risk
Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets
Modeling the leadership - project performance relation: radial basis function, Gaussian and Kriging methods as alternatives to linear regression
A multi-agent architecture for modelling and simulation of small military unit combat in asymmetric warfare
Low-complexity speaker embedding module with feature segmentation, transformation and reconstruction for few-shot speaker identification
Fast action recognition using negative space features
Sentiment polarity detection in Spanish reviews combining supervised and unsupervised approaches
Combined query image retrieval based on hybrid coding of CNN and Mix-Transformer
Efficient crowdsourced best objects finding via superiority probability based ordering for decision support systems
Visualization of machine clustering for a Taiwanese IC packaging foundry
A semantic approach for document classification using deep neural networks and multimedia knowledge graph
Corrigendum to "Recommender system based on pairwise association rules" [Expert Systems With Applications 115 (2018) 535-542]
Dual memory scale network for multi-step time series forecasting in thermal environment of aquaculture facility: A case study of recirculating aquaculture water temperature
Metaheuristic-assisted complex H-infinity flight control tuning for the Hawkeye unmanned aerial vehicle: A comparative study
Biometric cryptosystem using function based on-line signature recognition
Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance
High-speed railway express delivery volume forecast based on data-driven ensemble forecast approaches: The China case
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of Brazil
A hybrid variable neighborhood search and simulated annealing algorithm to estimate the three parameters of the Weibull distribution
CCNN-former: Combining convolutional neural network and Transformer for image-based traffic time series prediction
DiffuStory: Improving text diffusion models for creative story generation with contrastive learning and decoder-decoder Transformers
Pedestrian recognition using micro Doppler effects of radar signals based on machine learning and multi-objective optimization
Application of wrapper approach and composite classifier to the stock trend prediction
Decision support for housing customization: A hybrid approach using case-based reasoning and genetic algorithm
An up-to-date comparison of state-of-the-art classification algorithms
Optimizing job offer packages in a two-sided matching with bounded rationality: a two-stage stochastic approach
An interactive agent-based system for concept-based web search
Enhanced crested ibis algorithm: Performance validation in benchmark functions, engineering problems, and application in brain tumor detection
A knowledge extraction and representation system for narrative analysis in the construction industry
Stacked auto-encoders based visual features for speech/music classification
A q-rung orthopair fuzzy multi-attribute group decision making model based on attribute reduction and evidential reasoning methodology
Dual-space distribution metric-based evolutionary algorithm for multimodal multi-objective optimization
Scatterometer data calibration using the precision-converged calibration method for improved predictions
Modified differential evolution approach for optimization of planar parallel manipulators force capabilities
EMNet: An ensemble deep learning approach for geological condition detection in tunnel excavation
A denoising majority weighted minority oversampling technique for imbalanced classification
Visual tracking of dynamic defective contour based on fused long short-term memory model
An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai
Prior knowledge-guided multi-information graph convolutional network for driver drowsiness detection
Optimizing supply chain operations using advanced Time-Series Mixer models for demand forecasting and inventory under uncertain demand
FTODefender: An efficient flow table overflow attacks defending system in SDN
DBCD: Deep balanced community detection via consensus-guided joint optimization in attributed networks
Recurring concept meta-learning for evolving data streams
Two-stage DEA in banks: Terminological controversies and future directions
On the dynamic adaptation of language models based on dialogue information
Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma
A review of expert hybrid and co-estimation techniques for SOH and RUL estimation in battery management system with electric vehicle application
Face identification using some novel local descriptors under the influence of facial complexities
G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE
Retraction notice to "An empirical test to measure the effectiveness of online advertising in online marketplaces using a hierarchical bayes model" Expert Systems with Applications 39 (2012) 117-128
Prediction of ocean wave energy from meteorological variables by fuzzy logic modeling
Using simulation technique and genetic algorithm to improve the quality care of a hospital emergency department
Cut-in vehicle warning system exploiting multiple rotational images of SVM cameras
Complementary influence maximization under comparative linear threshold model
Automatic detection of abnormal mammograms in mammographic images
Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach
Interestingness measures for association rules: Combination between lattice and hash tables
Knowledge extraction and representation using quantum mechanics and intelligent models
A neural kernel framework for relation extraction
An adaptive ACM watermarking technique based on combined feature extraction and non-linear equation
Graph-enhanced anomaly detection framework in multivariate time series using Graph Attention and Enhanced Generative Adversarial Networks
Multi-objective optimization for sustainable supply chain network design considering multiple distribution channels
The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)
Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
A virtual driving instructor that assesses driving performance on par with human experts
TASL-Net: Tri-attention selective learning network for intelligent diagnosis of bimodal ultrasound video
Modeling of tacit knowledge in industry: Simulations on the variables of industrial processes
On reduction of attributes in inconsistent decision tables based on information entropies and stripped quotient sets
Groups make nodes powerful: Identifying influential nodes in social networks based on social conformity theory and community features
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
MIIPW: An R package for Generalized Estimating Equations with missing data integration using a combination of mean score and inverse probability weighted approaches and multiple imputation
Proposing a new integrated model based on sustainability balanced scorecard (SBSC) and MCDM approaches by using linguistic variables for the performance evaluation of oil producing companies
Scalable sparse bipartite graph factorization for multi-view clustering
An effective metaheuristic technology of people duality psychological tendency and feedback mechanism-based Inherited Optimization Algorithm for solving engineering applications
Developing an integrated model for the evaluation and selection of six sigma projects based on ANFIS and fuzzy goal programming
A radiosity-based method to avoid calibration for indoor positioning systems
Image captioning in low resource assamese language with semantic information prior and spatially encoded transformer model
An active learning paradigm based on a priori data reduction and organization
Reliable, large-scale, and automated remote sensing mapping of coastal aquaculture ponds based on Sentinel-1/2 and ensemble learning algorithms
Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy
Ensemble patch sparse coding: A feature learning method for classification of images with ambiguous edges
Using genetic programming and simulation to learn how to dynamically adapt the number of cards in reactive pull systems
Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease
A SVDD approach of fuzzy classification for analog circuit fault diagnosis with FWT as preprocessor
An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting
A computational narrative construction method with applications in organizational learning of social service organizations
Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios
How to incorporate machine learning and microsimulation tools in travel demand forecasting in multi-modal networks
An effective global harmony search algorithm for reliability problems
Modeling an ontology on accessible evacuation routes for emergencies
Fuzzy model reference control with adaptation mechanism
A framework for development of integrated intelligent knowledge for management of telecommunication networks
Energy and entropy-based feature extraction for locating fault on transmission lines by using neural network and wavelet packet decomposition
Reformer: Re-parameterized kernel lightweight transformer for grape disease segmentation
AlignYOLO: A feature-aligned network for object detection
Using multiplicative neuron model to establish fuzzy logic relationships
Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia
Forecasting TAIFEX based on fuzzy time series and particle swarm optimization
A novel stochastic ProFiVaS model based on decomposition of stochastic Vasicek differential equation for modeling and simulating of financial indicators
Organ boundary delineation for automated diagnosis from multi-center using ultrasound images
Uni-3DAD: Gan-inversion aided universal 3D anomaly detection on model-free products
Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals
Optimized nonlinear control for attitude and heading control of a UAV and controller-in-loop using Redfox algorithm
A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm
GUARD: Enabling fair gaming through the gameplay analysis using machine learning methods and expert knowledge
A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (CART) models
Pixel sampling by clustering