Zobrazeno 1 - 10
of 5 795
pro vyhledávání: '"A. Wróblewska"'
Autor:
Wróblewska, Alina
Selectively processing noisy utterances while effectively disregarding speech-specific elements poses no considerable challenge for humans, as they exhibit remarkable cognitive abilities to separate semantically significant content from speech-specif
Externí odkaz:
http://arxiv.org/abs/2410.05099
XYZ half-Heusler phases are often described as a XZ rock salt sublattice with an interstitial Y atom. However, transport across a solid solution between rock salt and half-Heusler structures has not previously been studied. In this paper, we demonstr
Externí odkaz:
http://arxiv.org/abs/2408.13709
In the rapidly evolving domain of large-scale retail data systems, envisioning and simulating future consumer transactions has become a crucial area of interest. It offers significant potential to fortify demand forecasting and fine-tune inventory ma
Externí odkaz:
http://arxiv.org/abs/2408.03655
This comprehensive survey serves as an indispensable resource for researchers embarking on the journey of fake news detection. By highlighting the pivotal role of dataset quality and diversity, it underscores the significance of these elements in the
Externí odkaz:
http://arxiv.org/abs/2407.02122
Autor:
Frej, Adam, Kaminski, Adrian, Marciniak, Piotr, Szmajdzinski, Szymon, Kuntur, Soveatin, Wroblewska, Anna
This study addresses the critical challenge of detecting DeepFake tweets by leveraging advanced natural language processing (NLP) techniques to distinguish between genuine and AI-generated texts. Given the increasing prevalence of misinformation, our
Externí odkaz:
http://arxiv.org/abs/2406.16489
Autor:
Wróblewska, Anna, Witas, Marcel, Frańczak, Kinga, Kniaź, Arkadiusz, Cheong, Siew Ann, Chee, Tan Seng, Hołyst, Janusz, Paprzycki, Marcin
Recently, multiple applications of machine learning have been introduced. They include various possibilities arising when image analysis methods are applied to, broadly understood, video streams. In this context, a novel tool, developed for academic
Externí odkaz:
http://arxiv.org/abs/2406.14266
Autor:
Grzyb, Mateusz, Krzyziński, Mateusz, Sobieski, Bartłomiej, Spytek, Mikołaj, Pieliński, Bartosz, Dan, Daniel, Wróblewska, Anna
This project explores the application of Natural Language Processing (NLP) techniques to analyse United Nations General Assembly (UNGA) speeches. Using NLP allows for the efficient processing and analysis of large volumes of textual data, enabling th
Externí odkaz:
http://arxiv.org/abs/2406.13553
We develop a Bayesian framework for cointegrated structural VAR models identified by two-state Markovian breaks in conditional covariances. The resulting structural VEC specification with Markov-switching heteroskedasticity (SVEC-MSH) is formulated i
Externí odkaz:
http://arxiv.org/abs/2406.03053
We design a novel, nonlinear single-source-of-error model for analysis of multiple business cycles. The model's specification is intended to capture key empirical characteristics of business cycle data by allowing for simultaneous cycles of different
Externí odkaz:
http://arxiv.org/abs/2406.02321
The dipole-dipole interactions between excitons are of paramount importance in the nanoscale structures. When two excitons are placed together they can exchange the energy can manifest in the resonant Raman cross sections. We provide theoretical fram
Externí odkaz:
http://arxiv.org/abs/2404.05450