Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks. - Oguzhan Karaahmetoglu; Fatih Ilhan; Ismail Balaban; Suleyman Serdar Kozat (CoRR, 2020)

Spatio-temporal Sequence Prediction with Point Processes and Self-organizing Decision Trees. - Oguzhan Karaahmetoglu; Suleyman Serdar Kozat (CoRR, 2020)

Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. - Selim Furkan Tekin; Oguzhan Karaahmetoglu; Fatih Ilhan; Ismail Balaban; Suleyman Serdar Kozat (CoRR, 2021)

Markovian RNN: An Adaptive Time Series Prediction Network With HMM-Based Switching for Nonstationary Environments. - Fatih Ilhan; Oguzhan Karaahmetoglu; Ismail Balaban; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2023)

Spatiotemporal Sequence Prediction With Point Processes and Self-Organizing Decision Trees. - Oguzhan Karaahmetoglu; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2023)

Time series prediction with hierarchical recurrent model. - Mustafa Mert Keskin; Fatih Irim; Oguzhan Karaahmetoglu; Ersin Kaya (Signal Image Video Process., 2023)