Zobrazeno 1 - 10
of 1 523
pro vyhledávání: '"Erdi P"'
Autor:
Tołłoczko, Agata K., Ziembicki, Jakub, Grodzicki, Miłosz, Serafińczuk, Jarosław, Tongay, Seth A., Erdi, Melike, Olszowska, Natalia, Rosmus, Marcin, Kudrawiec, Robert
Tin monochalcogendies SnS and SnSe, belonging to a familiy of van der Waals crystals isoelectronic to black phosphorus, are know as enivornmetally-friendly materials promisng for thermoelecric conversion applications. However, they exhibit other desi
Externí odkaz:
http://arxiv.org/abs/2409.17412
Optimization theory serves as a pivotal scientific instrument for achieving optimal system performance, with its origins in economic applications to identify the best investment strategies for maximizing benefits. Over the centuries, from the geometr
Externí odkaz:
http://arxiv.org/abs/2409.04707
In the field of natural language processing, text classification, as a basic task, has important research value and application prospects. Traditional text classification methods usually rely on feature representations such as the bag of words model
Externí odkaz:
http://arxiv.org/abs/2408.15257
This project intends to study the image representation based on attention mechanism and multimodal data. By adding multiple pattern layers to the attribute model, the semantic and hidden layers of image content are integrated. The word vector is quan
Externí odkaz:
http://arxiv.org/abs/2406.08838
Autor:
Sarıtaş, Erdi, Ekenel, Hazım Kemal
Advancements like Generative Adversarial Networks have attracted the attention of researchers toward face image synthesis to generate ever more realistic images. Thereby, the need for the evaluation criteria to assess the realism of the generated ima
Externí odkaz:
http://arxiv.org/abs/2406.02153
Autor:
Sarıtaş, Erdi, Ekenel, Hazım Kemal
A face recognition model is typically trained on large datasets of images that may be collected from controlled environments. This results in performance discrepancies when applied to real-world scenarios due to the domain gap between clean and in-th
Externí odkaz:
http://arxiv.org/abs/2406.02142
This study introduces a novel unsupervised medical image feature extraction method that employs spatial stratification techniques. An objective function based on weight is proposed to achieve the purpose of fast image recognition. The algorithm divid
Externí odkaz:
http://arxiv.org/abs/2406.18549
We present VBART, the first Turkish sequence-to-sequence Large Language Models (LLMs) pre-trained on a large corpus from scratch. VBART are compact LLMs based on good ideas leveraged from BART and mBART models and come in two sizes, Large and XLarge.
Externí odkaz:
http://arxiv.org/abs/2403.01308
In this work, we present VNLP: the first dedicated, complete, open-source, well-documented, lightweight, production-ready, state-of-the-art Natural Language Processing (NLP) package for the Turkish language. It contains a wide variety of tools, rangi
Externí odkaz:
http://arxiv.org/abs/2403.01309
Autor:
Mhenni, Amine Ben, Van Tuan, Dinh, Geilen, Leonard, Petrić, Marko M., Erdi, Melike, Watanabe, Kenji, Taniguchi, Takashi, Tongay, Sefaattin, Müller, Kai, Wilson, Nathan P., Finley, Jonathan J., Dery, Hanan, Barbone, Matteo
Coulomb interactions in atomically thin materials are uniquely sensitive to variations in the dielectric screening of the environment, which can be used to control quasiparticles and exotic quantum many-body phases. A static approximation of the diel
Externí odkaz:
http://arxiv.org/abs/2402.18639