WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Conference Object Citation - WoS: 10A Turkish Dataset for Gender Identification of Twitter Users(Assoc Computational Linguistics-ACL, 2019) Sezerer, Erhan; Polatbilek, Ozan; Tekir, SelmaAuthor profiling is the identification of an author's gender, age, and language from his/her texts. With the increasing trend of using Twitter as a means to express thought, profiling the gender of an author from his/her tweets has become a challenge. Although several datasets in different languages have been released on this problem, there is still a need for multilingualism. In this work, we propose a dataset of tweets of Turkish Twitter users which are labeled with their gender information. The dataset has 3368 users in the training set and 1924 users in the test set where each user has 100 tweets. The dataset is publicly available(1).Conference Object Applicability of Sound Criteria to Patients Undergoing Mastectomy(Springer, 2025) Ardila, Sara; Lupinacci, Kristin; Bayley, Erin; Cowher, Michael; Sabih, Quratulain; Steiman, Jennifer; Soran, AtillaConference Object Citation - WoS: 13Automatic HTML Code Generation from Mock-Up Images Using Machine Learning Techniques(IEEE, 2019) Asiroglu, Batuhan; Mate, Busra Rumeysa; Yildiz, Eyyup; Nalcakan, Yagiz; Sezen, Alper; Dagtekin, Mustafa; Ensari, TolgaThe design cycle for a web site starts with creating mock-ups for individual web pages either by hand or using graphic design and specialized mock-up creation tools. The mock-up is then converted into structured HTML or similar markup code by software engineers. This process is usually repeated many more times until the desired template is created. In this study, our aim is to automate the code generation process from hand-drawn mock-ups. Hand drawn mock-ups are processed using computer vision techniques and subsequently some deep learning methods are used to implement the proposed system. Our system achieves 96% method accuracy and 73% validation accuracy.Conference Object Intracerebroventricular Delivery of ASO in Combination With Anti-Inflammatory and Ketogenic Diet Treatment Reversed Neuropathology in the Tay-Sachs Disease Mouse Model(Wiley, 2025) Inci, O. K.; Ates, N.; Akyildiz-Demir, S.; Seyrantepe, V.Conference Object Therapeutic Potential of Intrathecal Delivery of Human Neu3 Sialidase in a Tay-Sachs Disease Mouse Model(Wiley, 2025) Basirli, H. H.; Seyrantepe, V.Conference Object Identification of Key Biological Pathways and Genes in Multiple Sclerosis Via Integrating Domain Knowledge Into the Machine Learning Model(Wiley, 2025) Ersoz, N. S.; Yousef, M.; Guner, S. Ayaz; Gungor, B.; Sen, A.Conference Object Development of an Injectable, Photocurable, Solvent-Free Emulsion-Based Scaffold for Bone Tissue Engineering(Mary Ann Liebert, inc, 2025) Ozmen, Ece; Unal, Merve; Dikici, Serkan; Tihminlioglu, Funda; Dikici, Betul AldemirConference Object Human Neu3 Sialidase Reduces GM2 Ganglioside Accumulation in Neuroglia Cells of Tay-Sachs Disease Mice Model(Springernature, 2024) Basirli, Hatice Hande; Ozgur, Melike Can; Seyrantepe, VolkanConference Object Enhancing Genomic Data Sharing With Blockchain-Enabled Dynamic Consent in Beacon V2(Springernature, 2024) Binokay, Leman; Celik, Hamit Mervan; Gurdal, Gultekin; Ayav, Tolga; Tuglular, Tugkan; Oktay, Yavuz; Karakulah, GokhanConference Object The Role of X-Inactive Specific Transcript (XIST) in Neuronal Development, Neuroinflammation, Myelination, and Therapeutic Responses in Cerebral Organoids(Wiley, 2025) Pepe, N. Aktas; Acar, B.; Zararsiz, G. Erturk; Guner, S. Ayaz; Sen, A.