Tez Dosyaları 22
Probabilistic forecasting of multiple time series with single recurrent neural network
Comparative performance analysis of variable selection methods in linear: A full factorial design simulation study
Coupled hidden Markov model with bivariate discrete copula to study comorbidity of chronic diseases
Analysis and future projections of seasonal shifts in Türki̇ye
Performance of hybrid machine learning algorithms on financial time series data
Comparison of missing data imputation methods applied to daily temperature and precipitation data in Turkey
Turkısh legal NLP: a comprehensıve aı framework for legal document understandıng, summarızatıon, and retrıeval-augmented generatıon
Prior-informed multivariate LSTM (PIM-LSTM) for economic time series
Using deep learning models for structural break detection in time series
A novel algorithm for time series model selection: mutual information model selection algorithm (MIMSA)
Nowcasting Sectoral Revenue Growth Using Copula Enhanced Latent Spaces and Quarterly Filings
Audio classification based on machine learning: Understanding animal behavior through sound
A comparative study of deep learning techniques for time series forecasting in energy consumption prediction
Yakamoz and Sunshine: Two novel time series anomaly detection methods
The forecast performances of the classical time series model and machine learning algorithms on bist-50 price index using exogenous variables
The forecast performance of classical time series models and machine learning algorithms on bitcoin series using exogenous variables
Fluctuation theory of omega-killed Lévy processes
Anomaly detection via iterative jackknife scenario based on data dimension reduction technique - JACkerDIM
Temporal clustering of multivariate time series
Performance comparison of machine learning methods and traditional time series methods for forecasting
FORECASTING WARRANTY CLAIMS FOR MONTH IN SERVICES GROUPS IN AUTOMOTIVE SECTOR
Seasonal adjustment of high-frequency time series