62 citations · 107 across the 26 of their papers we have counts for
5 papers · 1 filter
Wayback Machine: A tool to capture the evolutionary behaviour of the bug reports and their triage process in open-source software systems
Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú +2
The issue tracking system (ITS) is a rich data source for data-driven decision-making. Different characteristics of bugs, such as severity, priority, and time to fix, provide a cle…
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…
On the Impact of Deep Learning-based Time-series Forecasts on Multistage Stochastic Programming Policies
Juyoung Wang, Mucahit Cevik, Merve Bodur
Multistage stochastic programming provides a modeling framework for sequential decision-making problems that involve uncertainty. One typically overlooked aspect of this methodolog…
An empirical study on using CNNs for fast radio signal prediction
Ozan Ozyegen, Sanaz Mohammadjafari, Karim El mokhtari +3
Accurate radio frequency power prediction in a geographic region is a computationally expensive part of finding the optimal transmitter location using a ray tracing software. We em…