Fatih Ilhan

Fatih Ilhan

Ph.D. Student, School of Computer Science, Georgia Institute of Technology

Research

I have research experience, but not limited to, in the following topics:

Machine Learning

  1. Achieving Online Regression Performance of LSTMs with Simple RNNs
    N. M. Vural, F. Ilhan, S. F. Yilmaz and S. S. Kozat. IEEE Transactions on Neural Networks and Learning Systems, 2021. (Accepted) (IEEEXplore)

  2. Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels
    F. Ilhan and S. S. Kozat. IEEE Transactions on Signal Processing, 2020. (Accepted) (IEEEXplore) (code)

  3. Performance Analysis of Semi-Supervised Learning Methods under Different Missing Label Patterns
    F. Ilhan and E. Mumcuoglu. 28th IEEE Signal Processing and Communications Applications, 2020. (IEEEXplore) (code)

  4. LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm
    F. Ilhan, N. M. Vural and S. S. Kozat. 28th IEEE Signal Processing and Communications Applications, 2020. (IEEEXplore)

Time-series Prediction

  1. Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments
    F. Ilhan, O. Karaahmetoglu, Ismail Balaban and S. S. Kozat. IEEE Transactions on Neural Networks and Learning Systems, 2021. (Accepted) (IEEEXplore) (code)

  2. Spatio-Temporal Crime Prediction via Temporally Hierarchical Convolutional Neural Networks
    F. Ilhan, S. F. Tekin and B. Aksoy. 28th IEEE Signal Processing and Communications Applications, 2020. (IEEEXplore)

Spatio-temporal Event Modeling

  1. Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels
    F. Ilhan and S. S. Kozat. IEEE Transactions on Signal Processing, 2020. (Accepted) (IEEEXplore) (code)

  2. Spatio-Temporal Crime Prediction via Temporally Hierarchical Convolutional Neural Networks
    F. Ilhan, S. F. Tekin and B. Aksoy. 28th IEEE Signal Processing and Communications Applications, 2020. (IEEEXplore)

Optimization

  1. Shortest Path Learning in Non-Stationary Environments via Online Convex Optimization
    N. M. Vural, B. Altas, F. Ilhan and S. S. Kozat. 28th IEEE Signal Processing and Communications Applications, 2020. (IEEEXplore)

  2. Online Shortest Path Learning via Convex Optimization
    N. M. Vural, B. Altas, F. Ilhan and S. S. Kozat, 28th IEEE Signal Processing and Communications Applications, 2020. (IEEEXplore)

Anomaly Detection

  1. A Two-Stage Multi-Class Classification Approach Based on Anomaly Detection
    F. Ilhan, S. F. Yilmaz and S. S. Kozat. 28th IEEE Signal Processing and Communications Applications, 2020. (code)

  2. Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks
    O. Karaahmetoglu, F. Ilhan and S. S. Kozat. IEEE Transactions on Neural Networks and Learning Systems, 2020. (Under Review) (arXiv)