1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2020
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…
cs.LG2020★ 1 cited
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…