Zobrazeno 1 - 10
of 4 339
pro vyhledávání: '"Cavusoglu A"'
Recent advancements in Natural Language Processing (NLP) have impacted numerous sub-fields such as natural language generation, natural language inference, question answering, and more. However, in the field of question generation, the creation of di
Externí odkaz:
http://arxiv.org/abs/2409.18263
We present a new perturbative/non-perturbative (P/NP) relation that applies to a broader class of genus-1 potentials, including those that possess real and complex instantons parametrized by a deformation parameter, such as polynomial and elliptic po
Externí odkaz:
http://arxiv.org/abs/2408.02628
This paper introduces a multi-level, multi-label text classification dataset comprising over 3000 documents. The dataset features literary and critical texts from 19th-century Ottoman Turkish and Russian. It is the first study to apply large language
Externí odkaz:
http://arxiv.org/abs/2407.15136
Autor:
Eryuksel, Ogulcan, Ozfuttu, Kamil Anil, Akyon, Fatih Cagatay, Sahin, Kadir, Buyukborekci, Efe, Cavusoglu, Devrim, Altinuc, Sinan
Drone detection is a challenging object detection task where visibility conditions and quality of the images may be unfavorable, and detections might become difficult due to complex backgrounds, small visible objects, and hard to distinguish objects.
Externí odkaz:
http://arxiv.org/abs/2407.00830
We introduce FinTral, a suite of state-of-the-art multimodal large language models (LLMs) built upon the Mistral-7b model and tailored for financial analysis. FinTral integrates textual, numerical, tabular, and image data. We enhance FinTral with dom
Externí odkaz:
http://arxiv.org/abs/2402.10986
We study a parametric deformation of the unified genus-1 anharmonic potential and derive a parametric form of perturbative/non-perturbative (P/NP) relation, applicable across all parameter values. We explicitly demonstrate that the perturbative expan
Externí odkaz:
http://arxiv.org/abs/2311.17850
Evaluation plays a critical role in deep learning as a fundamental block of any prediction-based system. However, the vast number of Natural Language Processing (NLP) tasks and the development of various metrics have led to challenges in evaluating d
Externí odkaz:
http://arxiv.org/abs/2310.02040
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Apparent skin age can be determined by several clinical measurements and may differ from chronological age, hence defining age acceleration/deceleration (Age A/D). Using data from 360 women with dermatological scoring of 21 clinical signs, w
Externí odkaz:
https://doaj.org/article/d4bab846e5114e14824ce1ec32467854
Publikováno v:
Worldwide Hospitality and Tourism Themes, 2024, Vol. 16, Issue 2, pp. 163-177.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WHATT-03-2024-0060
Autor:
Chenhui Ma, Evren Gurkan-Cavusoglu
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-28 (2024)
Abstract This article reviews the current knowledge and recent advancements in computational modeling of the cell cycle. It offers a comparative analysis of various modeling paradigms, highlighting their unique strengths, limitations, and application
Externí odkaz:
https://doaj.org/article/8c4a588672d74a6eb54b0289d4c48352