28 citations · 61 across the 15 of their papers we have counts for
5 papers · 1 filter
PySAD: A Streaming Anomaly Detection Framework in Python
Selim F. Yilmaz, Suleyman S. Kozat
Streaming anomaly detection requires algorithms that operate under strict constraints: bounded memory, single-pass processing, and constant-time complexity. We present PySAD, a com…
Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance
Selim F. Yilmaz, E. Batuhan Kaynak, Aykut Koç +2
We investigate cross-lingual sentiment analysis, which has attracted significant attention due to its applications in various areas including market research, politics and social s…
Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization
Selim F. Yilmaz, Suleyman S. Kozat
We investigate unsupervised anomaly detection for high-dimensional data and introduce a deep metric learning (DML) based framework. In particular, we learn a distance metric throug…
Achieving Online Regression Performance of LSTMs with Simple RNNs
N. Mert Vural, Fatih Ilhan, Selim F. Yilmaz +2
Recurrent Neural Networks (RNNs) are widely used for online regression due to their ability to generalize nonlinear temporal dependencies. As an RNN model, Long-Short-Term-Memory N…
RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee
N. Mert Vural, Selim F. Yilmaz, Fatih Ilhan +1
We investigate online nonlinear regression with continually running recurrent neural network networks (RNNs), i.e., RNN-based online learning. For RNN-based online learning, we int…