Mücahit Çevik

Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study

2021 · arXiv (Cornell University)

Software defect prediction heavily relies on the metrics collected from software projects. Earlier studies often used machine learning techniques to build, validate, and improve bug prediction models using either a set of metrics collected within …

Scalable grid‐based approximation algorithms for partially observable Markov decision processes

2021 · Concurrency and Computation Practice and Experience

Abstract Partially observable Markov decision processes (POMDPs) are a well‐established sequential decision making framework. Once a problem is modeled using this framework, a suitable POMDP solution algorithm is employed to obtain a policy that guides …

DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting

2023 · arXiv (Cornell University)

Despite the high performance of neural network-based time series forecasting methods, the inherent challenge in explaining their predictions has limited their applicability in certain application areas. Due to the difficulty in identifying causal relationships between …