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Ensemble Based Classifiers Using Dictionary Learning
The 23rd International Conference on Systems, Signals and Image Processing (IWSSIP 2016), Bratislava Slovakia, 23 Mayıs 2016
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A comparison study on active learning integrated ensemble approaches in sentiment analysis
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Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways
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A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment
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Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets
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An Efficient Ensemble Deep Learning Approach for Semantic Point Cloud Segmentation Based on 3D Geometric Features and Range Images
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ATİK MUHAMMED ENES, DURAN ZAİDE
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Mitosis detection using generic features and an ensemble of cascade adaboosts
Journal of Pathology Informatics, Vol. 4, No. 1, Ocak 2013, s. 12, ISSN: 2153-3539
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Microgrid Fault Detection and Classification Based on the Boosting Ensemble Method With the Hilbert-Huang Transform
Institute of Electrical and Electronics Engineers (IEEE), Vol. 37, Haziran 2022, ISSN: 0885-8977
ŞEKER ŞAHİN SERHAT, AZİZİ RESUL
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Ensemble Learning Based Stock Market Prediction Enhanced with Sentiment Analysis
International Conference on Intelligent and Fuzzy Systems, Vol. 308, No. 2, 24 Ağustos 2021, s. 446-454
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Ensemble Learning Based Stock Market Prediction Enhanced with Sentiment Analysis
International Conference on Intelligent and Fuzzy Systems, Vol. 308, No. 2, 24 Ağustos 2021, s. 446-454
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An ensemble model for wide-area measurement-based transient stability assessment in power systems
Electrical Engineering, Vol. 103, Aralık 2021, s. 2855-2869, ISSN: 14320487 09487921
SANER CAN BERK, YASLAN YUSUF, GENÇ VEYSEL MURAT İSTEMİHAN
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Heavy Precipitation Sensitivity of Sea Surface Temperature over the Eastern Blacksea Region: Ensemble Simulations of Hopa / Artvin Case
ATMOS2019, 23 Ekim 2019
DOĞAN ONUR HAKAN,ÖNOL BARIŞ,TURUNÇOĞLU UFUK UTKU,KAHRAMAN ABDULLAH
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The skill of seasonal ensemble low flow forecasts in the Moselle River for three different hydrological models
Hydrology and Earth System Sciences, GOTTINGEN/ALMANYA, Vol. 19, No. 1, Ocak 2015, s. 275-291, ISSN: 1607-7938
DEMİREL MEHMET CÜNEYD,BOOİJ MARTİJN J,HOEKSTRA ARJEN Y
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Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics
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Effect of different uncertainty sources on the skill of 10 day ensemble low flow forecasts for two hydrological models
Water Resources Research, WASHINGTON/AMERİKA BİRLEŞİK DEVLETLERİ, Vol. 49, No. 7, Temmuz 2013, s. 4035-4053, ISSN: 00431397
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Impacts of climate change on the seasonality of low flows in 134 catchments in the River Rhine basin using an ensemble of bias corrected regional climate simulations
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DEMİREL MEHMET CÜNEYD,BOOIJ MARTIJN J,HOEKSTRA ARJEN Y
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Supervised Classification of White Matter Fibers Based on Neighborhood Fiber Orientation Distributions Using an Ensemble of Neural Networks
Computational Diffusion MRI - MICCAI, 20 Eylül 2018
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Analyzing neural connectivity using a network likelihood model of ensemble neural spiking activity
Society for Neuroscience Kongresi, 1 Eylül 2004
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Analyzing and decoding neural ensemble spiking activity using a multivariate point process likelihood model
5. Ulusal Sinirbilim Kongresi Neuroanatomy, Zonguldak/TÜRKİYE, Vol. 5, 1 Nisan 2006, s. 16-16, ISSN: 1303-1775
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