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| Issue Date | Title | Author(s) |
| 2012 | Adaptation and use of subjectivity lexicons for domain dependent sentiment classification | Dehkharghani, Rahim; Yanıkoğlu, Berrin; Tapucu, Dilek ; Saygın, Yücel |
| Nov-2022 | Anisotropic and outstanding mechanical, thermal conduction, optical, and piezoelectric responses in a novel semiconducting BCN monolayer confirmed by first-principles and machine learning | Mortazavi, Bohayra ; Fazel Shojaei; Yağmurcukardeş, Mehmet ; Alexander Shapeev; Xiaoying Zhuang |
| Jan-2023 | Applied machine learning for prediction of waste plastic pyrolysis towards valuable fuel and chemicals production | Cheng, Yi; Ekici, Ecrin; Yıldız, Güray ; Yang, Yang; Coward, Brad; Wang, Jiawei; Yıldız, Güray |
| Dec-2017 | Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers | Yousef, Malik; Nigatu, Dawit; Levy, Dalit; Allmer, Jens ; Henkel, Werner |
| 2013 | Data mining for microrna gene prediction: On the impact of class imbalance and feature number for microrna gene prediction | Saçar, Müşerref Duygu; Allmer, Jens |
| 2023 | Deterioration of pre-war and rehabilitation of post-war urbanscapes using generative adversarial networks | Çiçek, Selen; Turhan, Gözde Damla; Taşer, Aybüke |
| 2023 | Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms | Naseri, Farshid; Gil, S.; Barbu, C.; Çetkin, Erdal ; Yarımca, Gülşah; Jensen, A. C.; Larsen, P. G.; Gomes, Claudio |
| 2023 | Ensemble and optimized hybrid algorithms through Runge Kutta optimizer for sewer sediment transport modeling using a data pre-processing approach | Gül, Enes; Safari, Mir Jafar Sadegh; Dursun, Ömer Faruk; Tayfur, Gökmen |
| 2020 | Fast texture classification of denoised SAR image patches using GLCM on Spark | Özcan, Caner; Ersoy, Okan; Oğul, İskender Ülgen |
| 2016 | Feature selection for microRNA target prediction comparison of one-class feature selection methodologies | Yousef, Malik; Allmer, Jens ; Khalifa, Waleed |
| 2016 | Feature selection has a large impact on one-class classification accuracy for micrornas in plants | Yousef, Malik; Demirci, Müşerref Duygu Saçar; Khalifa, Waleed; Allmer, Jens |
| 2023 | Identifying factors controlling cellular uptake of gold nanoparticles by machine learning | Bilgi, Eyüp ; Winkler, David A.; Öksel Karakuş, Ceyda |
| 2016 | The impact of feature selection on one and two-class classification performance for plant microRNAs | Khalifa, Waleed; Yousef, Malik; Saçar Demirci, Müşerref Duygu; Allmer, Jens |
| 2017 | Improving the quality of positive datasets for the establishment of machine learning models for pre-microRNA detection | Saçar Demirci, Müşerref Duygu; Allmer, Jens |
| 2014 | Introduction to machine learning | Baştanlar, Yalın ; Özuysal, Mustafa |
| Jun-2023 | Investigating the local-scale fluctuations of groundwater storage by using downscaled GRACE/GRACE-FO JPL mascon product based on machine learning (ML) algorithm | Khorrami, Behnam; Ali, Shoaib; Gündüz, Orhan |
| 2012 | Learning domain-specific polarity lexicons | Demiröz, Gülşen; Yanıkoğlu, Berrin; Tapucu, Dilek ; Saygın, Yücel |
| 2007 | Machine learning based learner modeling for adaptive web-based learning | Aslan, Burak Galip ; İnceoğlu, Mustafa Murat |
| 2014 | Machine learning methods for microRNA gene prediction | Saçar, Müşerref Duygu; Allmer, Jens |
| 2023 | Machine learning-assisted prediction of the toxicity of silver nanoparticles: a meta-analysis | Bilgi, Eyüp ; Öksel Karakuş, Ceyda |
