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2023 - Devam Ediyor Doç. Dr.
Boğaziçi Üniversitesi, MÜHENDİSLİK FAKÜLTESİ, ENDÜSTRİ MÜHENDİSLİĞİ BÖLÜMÜ
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2013 - 2023 Dr. Öğr. Üyesi
Boğaziçi Üniversitesi, MÜHENDİSLİK FAKÜLTESİ, ENDÜSTRİ MÜHENDİSLİĞİ BÖLÜMÜ
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2006 - 2008 Araştırma Görevlisi
Orta Doğu Teknik Üniversitesi
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2020 - Devam Ediyor Fakülte Yönetim Kurulu Üyeliği
Boğaziçi Üniversitesi
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2014 - 2018 Danisman
Invent Analytics, Danisman
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Lisans
Special Topics in Time Series Analytics
Statistical Forecasting and Time Series
Quality Engineering
Statistics for Industrial Engineers
Special Topics in Data Mining
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Lisans Çift Anadal
Python Programming for Financial Engineering
Statistical Learning for Data Mining
Business Analytics
Special Studies: Spatial, Temporal, Spatio-temporal Data Mining
Data Mining
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MULTI-TARGET FORECASTING IN UNIVARIATE TIME SERIES VIA EMBEDDING-BASED TARGET SPACE
BAYDOĞAN M. G. (Danışman)
E.ATA(Öğrenci), Yüksek Lisans, 2025 -
Novel representation approaches for time series classification
BAYDOĞAN M. G. (Danışman)
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Exploring black-box parameter calibration techniques on generic system dynamics models, using synthetic data
BAYDOĞAN M. G. (Danışman)
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Intelligent solution space search and reduction using tree-based learning methods
BAYDOĞAN M. G. (Danışman)
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Tree-based learning for multivariate time series clustering
BAYDOĞAN M. G. (Danışman)
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Improving wind power forecasts: Integrating adaptive histogram of oriented gradients and multiple numerical weather predictions
BAYDOĞAN M. G. (Danışman)
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Multiobjective trees for forecasting
BAYDOĞAN M. G. (Danışman)
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Probabilistic discriminative region descriptor for time series classification
BAYDOĞAN M. G. (Danışman)
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Deep learning approaches for multi-site wind power forecasting in the West Aegean region of Turkey
BAYDOĞAN M. G. (Danışman)
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Example-dependent cost-sensitive gradient boosting machines for credit scoring
BAYDOĞAN M. G. (Danışman)
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A tree based categorical variable encoding strategy in supervised learning tasks
BAYDOĞAN M. G. (Danışman)
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Distance-based learning approaches for multiple instance learning
BAYDOĞAN M. G. (Danışman)
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Personalized product recommendation on second hand platforms
BAYDOĞAN M. G. (Danışman)
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Statistical postprocessing of local numerical weather prediction model forecasts using deep learning
BAYDOĞAN M. G. (Danışman)
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Oblique random forest algorithm using lasso regression for wind power forecasting
BAYDOĞAN M. G. (Danışman)
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Replenishment and lateral transshipment decisions in multi-period and multi-location inventory systems
BAYDOĞAN M. G. (Danışman)
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Fair recommendation through conditioning on systematic presentation in recommender systems
BAYDOĞAN M. G. (Danışman)
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A mixed-integer programming approach to example-dependent cost-sensitive learning
BAYDOĞAN M. G. (Danışman)
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Aggregation strategies for grid-based numerical weather predictions (NWP) to improve power curve models with meta-learning extension
BAYDOĞAN M. G. (Danışman)
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Forecasting with a large number of predictors: A tree based moving average approach
BAYDOĞAN M. G. (Danışman)
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Multi-objective approaches for multi-target learning
BAYDOĞAN M. G. (Danışman)
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Spatiotemporal forecasting of solar power generation with deep learning
BAYDOĞAN M. G. (Danışman)
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Data-driven operators for a hybrid evolutionary algorithm to solve multi-trip rich vehicle routing problem
BAYDOĞAN M. G. (Danışman)
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A column generation approach to solve ranking problems
BAYDOĞAN M. G. (Danışman)
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Product ranking strategies for an online retailer
BAYDOĞAN M. G. (Danışman)
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Learning nonlinear features to improve linear forecastingapproaches
BAYDOĞAN M. G. (Danışman)
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Pricing and order fulfillment for online marketplaces
BAYDOĞAN M. G. (Danışman)
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A methodology for determining the factors that increase artificial intelligence usage in mobile banking applications
BAYDOĞAN M. G. (Danışman)
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Modeling customers' online purchasing behavior using clickstream data
BAYDOĞAN M. G. (Danışman)
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Mathematical programming and statistical learning approaches for multiple instance learning
BAYDOĞAN M. G. (Danışman)
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Short term electricity load forecasting using machine learning techniques
BAYDOĞAN M. G. (Danışman)
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Ensemble-based fast shapelet approximation
BAYDOĞAN M. G. (Danışman)
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nTreeClus: A model-based partitioning clustering of sequential data
BAYDOĞAN M. G. (Danışman)
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Algorithmic trading on cryptocurrency markets using machine learning techniques
BAYDOĞAN M. G. (Danışman)
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A new representation method for multivariate time series classification problem using interval means and polar histogram densities
BAYDOĞAN M. G. (Danışman)
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Biometric identification and authentication using time series classification of mouse and eye movements
BAYDOĞAN M. G. (Danışman)
F.K.(Öğrenci), Yüksek Lisans, 2017 -
Autoregressive forests for multivariate time-series modeling
BAYDOĞAN M. G. (Danışman)
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A data adaptive categorical time series representation for supervised learning
BAYDOĞAN M. G. (Danışman)
