Zobrazeno 1 - 10
of 8 395
pro vyhledávání: '"INDIRA, P."'
Structure, dynamics and phase transitions in electric field assembled colloidal crystals and glasses
Field-induced assembly of colloidal particles into structures of desired configurations is extremely relevant from the viewpoint of producing field-assembled micro-swimmers and reconfigurable smart materials. However, the behaviour of colloidal parti
Externí odkaz:
http://arxiv.org/abs/2410.16792
Computational text classification is a challenging task, especially for multi-dimensional social constructs. Recently, there has been increasing discussion that synthetic training data could enhance classification by offering examples of how these co
Externí odkaz:
http://arxiv.org/abs/2410.12622
Autor:
Febriyanti, Indira, Fan, Youmei, Shimari, Kazumasa, Matsumoto, Kenichi, Kula, Raula Gaikovina
Python is very popular because it can be used for a wider audience of developers, data scientists, machine learning experts and so on. Like other programming languages, there are beginner to advanced levels of writing Python code. However, like all s
Externí odkaz:
http://arxiv.org/abs/2410.05683
Open-source Electronic Design Automation (EDA) tools are rapidly transforming chip design by addressing key barriers of commercial EDA tools such as complexity, costs, and access. Recent advancements in Large Language Models (LLMs) have further enhan
Externí odkaz:
http://arxiv.org/abs/2410.03845
We propose a novel approach using neural networks (NNs) to differentiate between cosmological models, especially in the case where they are nested and the additional model parameters are close to zero, making it difficult to discriminate them with tr
Externí odkaz:
http://arxiv.org/abs/2406.08351
With over 60M articles, Wikipedia has become the largest platform for open and freely accessible knowledge. While it has more than 15B monthly visits, its content is believed to be inaccessible to many readers due to the lack of readability of its te
Externí odkaz:
http://arxiv.org/abs/2406.01835
Autor:
Yu, Zehui, Sen, Indira, Assenmacher, Dennis, Samory, Mattia, Fröhling, Leon, Dahn, Christina, Nozza, Debora, Wagner, Claudia
Machine learning (ML)-based content moderation tools are essential to keep online spaces free from hateful communication. Yet, ML tools can only be as capable as the quality of the data they are trained on allows them. While there is increasing evide
Externí odkaz:
http://arxiv.org/abs/2405.08562
Autor:
Chatterji, Indira, Gautero, François
The fundamental group of a closed irreducible 3-dimensional manifold has the Rapid Decay property if and only if it is not virtually Sol. This is proved by studying distortion of length functions in graphs of groups, and the stability of the Rapid De
Externí odkaz:
http://arxiv.org/abs/2401.14803
Autor:
Sen, Indira, Assenmacher, Dennis, Samory, Mattia, Augenstein, Isabelle, van der Aalst, Wil, Wagner, Claudia
NLP models are used in a variety of critical social computing tasks, such as detecting sexist, racist, or otherwise hateful content. Therefore, it is imperative that these models are robust to spurious features. Past work has attempted to tackle such
Externí odkaz:
http://arxiv.org/abs/2311.01270
Publikováno v:
Journal of Orthopaedic Translation, Vol 49, Iss , Pp 62-73 (2024)
Cell polarity refers to the orientation of tissue and organelles within a cell and the direction of its function. It is one of the most critical characteristics of metazoans. The development, growth, and functional tissue distribution are closely rel
Externí odkaz:
https://doaj.org/article/0b02adff9e5c47a2ab368b083ae75692
