4 citations · 12 across the 10 of their papers we have counts for
4 papers · 1 filter
Time Series Clustering for Grouping Products Based on Price and Sales Patterns
Aysun Bozanta, Sean Berry, Mucahit Cevik +4
Developing technology and changing lifestyles have made online grocery delivery applications an indispensable part of urban life. Since the beginning of the COVID-19 pandemic, the…
VARGAN: Variance Enforcing Network Enhanced GAN
Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
Generative adversarial networks (GANs) are one of the most widely used generative models. GANs can learn complex multi-modal distributions, and generate real-like samples. Despite…
Explainable boosted linear regression for time series forecasting
Igor Ilic, Berk Gorgulu, Mucahit Cevik +1
Time series forecasting involves collecting and analyzing past observations to develop a model to extrapolate such observations into the future. Forecasting of future events is imp…
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting
Ozan Ozyegen, Igor Ilic, Mucahit Cevik
Being able to interpret a machine learning model is a crucial task in many applications of machine learning. Specifically, local interpretability is important in determining why a…