15 citations · 19 across the 4 of their papers we have counts for
5 papers
Smooth Ranking SVM via Cutting-Plane Method
Erhan Can Ozcan, Berk Görgülü, Mustafa G. Baydogan +1
The most popular classification algorithms are designed to maximize classification accuracy during training. However, this strategy may fail in the presence of class imbalance sinc…
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
Syed Kazmi, Berk Gorgulu, Mucahit Cevik +1
Wind power forecasting helps with the planning for the power systems by contributing to having a higher level of certainty in decision-making. Due to the randomness inherent to met…
nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series
Hadi Jahanshahi, Mustafa Gokce Baydogan
The overwhelming presence of categorical/sequential data in diverse domains emphasizes the importance of sequence mining. The challenging nature of sequences proves the need for co…
Explainable boosted linear regression for time series forecasting
Igor Ilic, Berk Gorgulu, Mucahit Cevik +1
Time series forecasting involves collecting and analyzing past observations to develop a model to extrapolate such observations into the future. Forecasting of future events is imp…
Learning Maximally Predictive Prototypes in Multiple Instance Learning
Mert Yuksekgonul, Ozgur Emre Sivrikaya, Mustafa Gokce Baydogan
In this work, we propose a simple model that provides permutation invariant maximally predictive prototype generator from a given dataset, which leads to interpretability of the so…