Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Gaman Mihaela"'
Publikováno v:
Romanian Journal of Cardiology, Vol 32, Iss 1, Pp 35-40 (2022)
Waldenström macroglobulinemia (WM) is a low-grade B-cell clonal disorder with lymphoplasmacytic bone marrow involvement and monoclonal immunoglobulin M (IgM) with poor prognosis. Clinical features include anemia, thrombocytopenia, hepatosplenomegaly
Externí odkaz:
https://doaj.org/article/edc08ac5506a45239bf4e8229a428e55
In recent years there has been a shift from heuristics-based malware detection towards machine learning, which proves to be more robust in the current heavily adversarial threat landscape. While we acknowledge machine learning to be better equipped t
Externí odkaz:
http://arxiv.org/abs/2310.01835
We present a novel corpus for French dialect identification comprising 413,522 French text samples collected from public news websites in Belgium, Canada, France and Switzerland. To ensure an accurate estimation of the dialect identification performa
Externí odkaz:
http://arxiv.org/abs/2212.07707
An important preliminary step of optical character recognition systems is the detection of text rows. To address this task in the context of historical data with missing labels, we propose a self-paced learning algorithm capable of improving the row
Externí odkaz:
http://arxiv.org/abs/2201.12216
In this work, we introduce a corpus for satire detection in Romanian news. We gathered 55,608 public news articles from multiple real and satirical news sources, composing one of the largest corpora for satire detection regardless of language and the
Externí odkaz:
http://arxiv.org/abs/2105.06456
In this work, we describe our approach addressing the Social Media Variety Geolocation task featured in the 2021 VarDial Evaluation Campaign. We focus on the second subtask, which is based on a data set formed of approximately 30 thousand Swiss Germa
Externí odkaz:
http://arxiv.org/abs/2102.09379
Romanian is one of the understudied languages in computational linguistics, with few resources available for the development of natural language processing tools. In this paper, we introduce LaRoSeDa, a Large Romanian Sentiment Data Set, which is com
Externí odkaz:
http://arxiv.org/abs/2101.04197
Autor:
Gaman, Mihaela, Ionescu, Radu Tudor
In this work, we introduce the methods proposed by the UnibucKernel team in solving the Social Media Variety Geolocation task featured in the 2020 VarDial Evaluation Campaign. We address only the second subtask, which targets a data set composed of n
Externí odkaz:
http://arxiv.org/abs/2010.03614
Autor:
Găman, Mihaela, Ionescu, Radu Tudor
Motivated by the seemingly high accuracy levels of machine learning models in Moldavian versus Romanian dialect identification and the increasing research interest on this topic, we provide a follow-up on the Moldavian versus Romanian Cross-Dialect T
Externí odkaz:
http://arxiv.org/abs/2007.15700
Complaining is a basic speech act regularly used in human and computer mediated communication to express a negative mismatch between reality and expectations in a particular situation. Automatically identifying complaints in social media is of utmost
Externí odkaz:
http://arxiv.org/abs/1906.03890