Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Başar, Ayşe"'
With the increasing use of robots in daily life, there is a growing need to provide robust collaboration protocols for robots to tackle more complicated and dynamic problems effectively. This paper presents a novel, factor graph-based approach to add
Externí odkaz:
http://arxiv.org/abs/2411.00741
Accurately predicting hospital length-of-stay at the time a patient is admitted to hospital may help guide clinical decision making and resource allocation. In this study we aim to build a decision support system that predicts hospital length-of-stay
Externí odkaz:
http://arxiv.org/abs/2308.02730
Social media platforms influence the way political campaigns are run and therefore they have become an increasingly important tool for politicians to directly interact with citizens. Previous elections in various countries have shown that social medi
Externí odkaz:
http://arxiv.org/abs/2305.18397
This paper explores the use of text data augmentation techniques to enhance conflict and duplicate detection in software engineering tasks through sentence pair classification. The study adapts generic augmentation techniques such as shuffling, back
Externí odkaz:
http://arxiv.org/abs/2305.09608
The analysis of software requirement specifications (SRS) using Natural Language Processing (NLP) methods has been an important study area in the software engineering field in recent years. Especially thanks to the advances brought by deep learning a
Externí odkaz:
http://arxiv.org/abs/2301.00495
Bug triaging is a critical task in any software development project. It entails triagers going over a list of open bugs, deciding whether each is required to be addressed, and, if so, which developer should fix it. However, the manual bug assignment
Externí odkaz:
http://arxiv.org/abs/2211.00872
This study focuses on exploring the use of local interpretability methods for explaining time series clustering models. Many of the state-of-the-art clustering models are not directly explainable. To provide explanations for these clustering algorith
Externí odkaz:
http://arxiv.org/abs/2208.01152
Generative Adversarial Networks (GANs) have gained significant attention in several computer vision tasks for generating high-quality synthetic data. Various medical applications including diagnostic imaging and radiation therapy can benefit greatly
Externí odkaz:
http://arxiv.org/abs/2207.11223
In the realm of software development, the clarity, completeness, and comprehensiveness of requirements significantly impact the success of software systems. The Software Requirement Specification (SRS) document, a cornerstone of the software developm
Externí odkaz:
http://arxiv.org/abs/2206.13690
Autor:
Bozanta, Aysun, Berry, Sean, Cevik, Mucahit, Bulut, Beste, Yigit, Deniz, Gonen, Fahrettin F., Başar, Ayşe
Developing technology and changing lifestyles have made online grocery delivery applications an indispensable part of urban life. Since the beginning of the COVID-19 pandemic, the demand for such applications has dramatically increased, creating new
Externí odkaz:
http://arxiv.org/abs/2204.08334