Tez Dosyaları 36
Replenishment and lateral transshipment decisions in multi-period and multi-location inventory systems
Pricing and order fulfillment for online marketplaces
Novel representation approaches for time series classification
Short term electricity load forecasting using machine learning techniques
Product ranking strategies for an online retailer
Multiobjective trees for forecasting
Probabilistic discriminative region descriptor for time series classification
Learning nonlinear features to improve linear forecastingapproaches
Example-dependent cost-sensitive gradient boosting machines for credit scoring
Algorithmic trading on cryptocurrency markets using machine learning techniques
A column generation approach to solve ranking problems
Personalized product recommendation on second hand platforms
Statistical postprocessing of local numerical weather prediction model forecasts using deep learning
Multi-objective approaches for multi-target learning
A methodology for determining the factors that increase artificial intelligence usage in mobile banking applications
Improving wind power forecasts: Integrating adaptive histogram of oriented gradients and multiple numerical weather predictions
Tree-based learning for multivariate time series clustering
Autoregressive forests for multivariate time-series
modeling
Distance-based learning approaches for multiple instance learning
nTreeClus: A model-based partitioning clustering of sequential data
Spatiotemporal forecasting of solar power generation with deep learning
A tree based categorical variable encoding strategy in supervised learning tasks
Fair recommendation through conditioning on systematic presentation in recommender systems
Forecasting with a large number of predictors: A tree based moving average approach
Exploring black-box parameter calibration techniques on generic system dynamics models, using synthetic data
Ensemble-based fast shapelet approximation
A mixed-integer programming approach to example-dependent cost-sensitive learning
Intelligent solution space search and reduction using tree-based learning methods
A data adaptive categorical time series representation for supervised learning
Data-driven operators for a hybrid evolutionary algorithm to solve multi-trip rich vehicle routing problem
Aggregation strategies for grid-based numerical weather predictions (NWP) to improve power curve models with meta-learning extension
Deep learning approaches for multi-site wind power forecasting in the West Aegean region of Turkey
A new representation method for multivariate time series classification problem using interval means and polar histogram densities
Modeling customers' online purchasing behavior using clickstream data
Oblique random forest algorithm using lasso regression for wind power forecasting
Mathematical programming and statistical learning approaches for multiple instance learning