3 papers
cs.LG2025
Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles
Abdullah Burkan Bereketoglu
We propose a hybrid meta-learning framework for forecasting and anomaly detection in nonlinear dynamical systems characterized by nonstationary and stochastic behavior. The approac…
eess.SP2025
Composite Reward Design in PPO-Driven Adaptive Filtering
Abdullah Burkan Bereketoglu
Model-free and reinforcement learning-based adaptive filtering methods are gaining traction for denoising in dynamic, non-stationary environments such as wireless signal channels,…
eess.IV2023
Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification
Kanan Mahammadli, Abdullah Burkan Bereketoglu, Ayse Gul Kabakci
Breast Cancer is the most common cancer among women, which is also visible in men, and accounts for more than 1 in 10 new cancer diagnoses each year. It is also the second most com…