Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Helli, Selahattin Serdar"'
Autor:
Kesim, Ege, Helli, Selahattin Serdar
Parameter efficient finetuning (PEFT) methods are widely used in LLMs and generative models in computer vision. Especially one can use multiple of these during inference to change the behavior of the base model. In this paper we investigated whether
Externí odkaz:
http://arxiv.org/abs/2411.14064
Information extraction (IE), one of the main tasks of natural language processing (NLP), has recently increased importance in the use of resumes. In studies on the text to extract information from the CV, sentence classification was generally made us
Externí odkaz:
http://arxiv.org/abs/2306.13775
Emotion recognition has become an important research topic in the field of human-computer interaction. Studies on sound and videos to understand emotions focused mainly on analyzing facial expressions and classified 6 basic emotions. In this study, t
Externí odkaz:
http://arxiv.org/abs/2306.13076
Publikováno v:
D\"uzce \"Universitesi Bilim ve Teknoloji Dergisi. 2022; 10(1): 39-50
Automatic teeth segmentation in panoramic x-ray images is an important research subject of the image analysis in dentistry. In this study, we propose a post-processing stage to obtain a segmentation map in which the objects in the image are separated
Externí odkaz:
http://arxiv.org/abs/2204.00095
COVID-19 has been one of the most severe diseases, causing a harsh pandemic all over the world, since December 2019. The aim of this study is to evaluate the value of Long Short-Term Memory (LSTM) Networks in forecasting the total number of COVID-19
Externí odkaz:
http://arxiv.org/abs/2009.06343