no code implementations • 19 Sep 2023 • Mustafa E. Aydın, Arda Fazla, Suleyman S. Kozat
We achieve this by introducing novel state space representations for the base models, which are then combined to provide a full state space representation of the hybrid or the ensemble.
no code implementations • 30 Nov 2022 • Arda Fazla, Mustafa Enes Aydin, Orhun Tamyigit, Suleyman Serdar Kozat
Unlike all the literature in ensembling, for the first time, we introduce a new approach using a meta learner that effectively combines the base model predictions via using a superset of the features that is the union of the base models' feature vectors instead of the predictions themselves.
2 code implementations • 1 Feb 2021 • Selim Furkan Tekin, Arda Fazla, Suleyman Serdar Kozat
To this end, we introduce a novel deep learning architecture for forecasting high-resolution spatio-temporal weather data.
1 code implementation • 18 Jan 2021 • Kutalmis Gokalp Ince, Aybora Koksal, Arda Fazla, A. Aydin Alatan
For detection, we use an off-the-shelf object detector which is trained iteratively with the annotations generated by the proposed method, and we perform object detection on each frame independently.