• No More Black-Boxes - Estimate Deformation Capacity of Non-Ductile RC Shear Walls based on Generalized Additive Models 

Değer, Z., Taşkın, G., Wallace, J.W. 

• Machine Learning-Based Framework for Failure Forecast and Shear Strength Estimation of Non-Conforming RC Shear Walls

Tan, M., Taşkın, G., Değer Z., 

• Forecasting Surface Movements Based on PSI Time Series Using Machine Learning Algorithms

Yağmur, N.,  Taşkın, G., Erten, E., Musaoğlu, N.

• A structural damage ranking using ConvNeXt for post-earthquake image classification

Kaya, H., Turan, Ö.T., Taşkın, G., Çınar, T., İlki, A.

• Explainable AI for Earth Observation: Current methods, open challenges, and opportunities

Taşkın, G., Aptoula, E., Erturk, A.

Elsevier, to be published in 2023. 

• Change Detection and Image Time-Series Analysis: A Review on Multi-temporal Earthquake Damage Assessment Using Satellite Images

Taşkın, G.,Alatas, O., Erten, E.,

ISTE-WILEY, 2023. 

2023

• Betonarme perdelerde enerji sönümleme kapasitesinin meta-modelleme yöntemleriyle incelenmesi

Değer, Z.  Taşkın, G., Sütçü, F. 

Journal of the Faculty of Engineering and Architecture of Gazi University, 38:4, pp. 2311-2323.

• Re-evaluation of machine learning models for predicting ultimate bearing capacity of piles through SHAP and Joint Shapley methods

Karakaş, S., Taşkın, G., Ülker, M.B.C.

Neural Computing & Applications, accepted, 2023.

• There Are No Data Like More Data: Datasets for deep learning in Earth Observation 

Schmitt M, Ahmadi SA, Xu Y, Taşkın G, Verma U, Sica F, Hänsch R.

IEEE Geoscience and Remote Sensing Magazine, 11(3), pp. 64-97.

• Explainable Artificial Intelligence for Cotton Yield Prediction with Multisource Data

Celik, M.F., Isik, M.S., Taşkın, G., Erten, E., Camps-Valls, G.

IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023.

• Data-Driven Modeling of Ultimate Load Capacity of Closed- and Open-Ended Piles using Machine Learning

Ülker, M.B.C., Altınok, E., Taşkın, G.

International Journal of Geotechnical Engineering, vol(4), pp. 393-407, 2023.

• A Scalable Unsupervised Feature Selection with Orthogonal Graph Representation for Hyperspectral Images

Taşkın, G., Yetkin, E.F., Camps-Valls, G.

IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, 2023.

• Machine Learning-Based Predictive Models for Equivalent Damping Ratio of RC Shear Walls

Yaghoubi, S. T., Deger, Z., Taskin, G., Sutcu F.

Bulletin of Earthquake Engineering, 21, pp. 293–318, 2023.

2022

• A Feature Selection Method via Graph Embedding and Global Sensitivity Analysis

Taskin, G.

IEEE Geoscience and Remote Sensing Letter, Q1, vol. 19, pp. 1-5, 2022.

• Machine Learning-Based Predictive Model For Energy Dissipation Capacity Of RC Shear Walls

Topaloglu, B., Taskin, G., Sutcu F., Deger, Z.

Structures, Q2, Volume 45, November 2022, Pages 343-352.

• An Earthquake Damage Identification Approach from VHR Image Using Mathematical Morphology and Machine Learning

Alatas, E., Taskin, G.

Neural Computing and Applications, Q1, IF:5.573, 34(21), 18757-18771.

• Graph Embedding via High Dimensional Model Representation for Hyperspectral Images

Taskin, G., Camps, G.

IEEE Transactions on Geoscience and Remote Sensing - Q1, IF:6.086, Vol. 60.

• Glass-box model representation of seismic failure mode prediction for conventional reinforced concrete shear walls

Deger, Z., Taskin, G.

Neural Computing and Applications, Q1, IF:5.573, 34, pages 13029-13041.

• A Novel GPR-Based Prediction Model for Cyclic Backbone Curves of Reinforced Concrete Shear Walls

Deger, Z., Taskin, G.

Engineering Structures - Q1, IF:4.795, Volume 255, published in 2022.

2019

• An Adaptive Affinity Matrix Optimization for Locality Preserving Projection via Heuristic Methods for Hyperspectral Image Analysis

Taskin, G., and Ceylan, O.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - Q1, IF:3.734, Vol. 12(12), pp. 4690-4697, 2019.

• An Out-of-Sample Extension to Manifold Learning via Meta-Modelling

Taskin, G., and Crawford, M.

IEEE Transactions on Image Processing, Vol. 28(10), pp. 5227--5237

• Selection of PolSAR Observables for Crop Biophysical Variable Estimation With Global Sensitivity Analysis

Erten, E., Taskin, G., and Lopez-Sanchez, JM.

IEEE Geoscience and Remote Sensing Letters, Vol. 16(5), pp. 766 - 770, 2019.

2017

• Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images

Taskin, G., Kaya, H., and Bruzzone, L.

IEEE Transactions on Image Processing, Vol. 26(6), pp. 2918 - 2928.

• Paddy-Rice Phenology Classification Based on Machine-Learning Methods Using Multitemporal Co-Polar X-Band SAR Images

Kucuk, C., Taskin, G., and Erten, E.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - Q1, IF:3.734, Vol. 49(6), pp. 2071-2079.

2015

• Earthquake-Induced Damage Classification from Post-Earthquake Satellite Image Using Spectral and Spatial Features with Support Vector Selection and Adaptation

Taskin, G., Ersoy, O.K., and Kamasak M.E.

Journal of Applied Remote Sensing - Q3, IF:1.565, Vol 9(1), pp.096017-(1-20).

2013

• A hybrid model for classification of remote sensing images with linear SVM and support vector selection and adaptation

Taskin Kaya, G.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - Q1, IF:3.734, Vol. 6(4), pp.1988-1997.

2011

• Damage Assessment of 2010 Haiti Earthquake with Post-Earthquake Satellite Image by Support Vector Selection and Adaptation

Taskin Kaya, G., Musaoglu, N., and Ersoy, O.K.

Photogrammetric Engineering & Remote Sensing - Q2, IF:2.912, Special Issue: Haiti Earthquake, Part 2, Vol. 77(10), pp. 1025-1035.

• Support Vector Selection and Adaptation for Remote Sensing Classification

Taskin Kaya, G., Ersoy, O.K., and Kamasak M.E.

IEEE Transactions on Geoscience and Remote Sensing

2023

• Computer Vision for Earth Observation—The First IEEE GRSS Image Analysis and Data Fusion School [Technical Committees]

Vivone, G.,  Lunga, D., Sica, F., Taşkin, G., Verma, U., Hänsch, R.

IEEE Geoscience and Remote Sensing Magazine, 11(2). pp. 95-100

2021

• Activities of the GRSS Turkey Chapter in 2021

Erturk, A., Taşkın, G., Ok, A.O., Ustuner, M., Kayabol, K.

IEEE Geoscience and Remote Sensing Magazine - Q1, IF:13.069, Vol. 10(1), pp. 352-354, 2022. 

2018

• Activities of the GRSS Turkey Chapter [Chapters]

Erturk, A., Taşkın, G., Erten, E., Kayabol, K., Aptoula, E.,

IEEE Geoscience and Remote Sensing Magazine - Q1, IF:13.069, Vol. 6(4), pp. 93-95, 2018. 

2016

• The Second GRSS Turkey Chapter Summer School [Chapters]

Erten, E., Taşkın, G.,  Erturk, A., Tasdemir, K.

IEEE Geoscience and Remote Sensing Magazine - Q1, IF:13.069, Vol 4(3), pp. 76-78.