6 citations · 9 across the 5 of their papers we have counts for
5 papers
Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting
Aysin Tumay, Mustafa E. Aydin, Ali T. Koc +1
We introduce a novel ensemble approach for feature selection based on hierarchical stacking for non-stationarity and/or a limited number of samples with a large number of features.…
Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization
Mustafa E. Aydın, Arda Fazla, Suleyman S. Kozat
We investigate nonlinear prediction/regression in an online setting and introduce a hybrid model that effectively mitigates, via a joint mechanism through a state space formulation…
Context-Aware Ensemble Learning for Time Series
Arda Fazla, Mustafa Enes Aydin, Orhun Tamyigit +1
We investigate ensemble methods for prediction in an online setting. Unlike all the literature in ensembling, for the first time, we introduce a new approach using a meta learner t…
A Hybrid Framework for Sequential Data Prediction with End-to-End Optimization
Mustafa E. Aydın, Suleyman S. Kozat
We investigate nonlinear prediction in an online setting and introduce a hybrid model that effectively mitigates, via an end-to-end architecture, the need for hand-designed feature…
A Pipeline for the ROTSE-IIId Archival Data
B. B. Güçsav, C. Yeşilyaprak, S. K. Yerli +5
We have constructed a new, fast, robust and reliable pipeline to detect variable stars from the ROTSE-IIId archival data. Turkish share of ROTSE-III archive contains approximately…