Results 91 to 100 of about 270,492 (286)

PAN19 Authorship Analysis : Cross-Domain Authorship Attribution

, 2019
: Authorship attribution is an important problem in information retrieval and computational linguistics but also in applied areas such as law and journalism where knowing the author of a document (such as a ransom note) may enable e.g. law enforcement to
Stamatatos, Efstathios, Daelemans, Walter, Manjavacas Ar\ue9valo, Enrique, Stein, Benno, Kestemont, Mike, Manjavacas, Enrique, Potthast, Martin   +6 more
core   +1 more source

On Authorship Attribution [PDF]

, 2021
Authorship attribution is the process of identifying the author of a given text and from the machine learning perspective, it can be seen as a classification problem.
Calarota, Gabriele
core  

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Towards Performance Improvement of Authorship Attribution

IEEE Access
An accurate authorship attribution model can play a vital role in security domain by detecting fraudulent texts and combating plagiarism, online piracy, and cyber attacks. In this paper, we work on improving the performance of authorship attribution.
Amar Suljic, Md Shafaeat Hossain
doaj   +1 more source

Boosting word frequencies in authorship attribution

CoRR, 2022
In this paper, I introduce a simple method of computing relative word frequencies for authorship attribution and similar stylometric tasks. Rather than computing relative frequencies as the number of occurrences of a given word divided by the total number of tokens in a text, I argue that a more efficient normalization factor is the total number of ...
openaire   +3 more sources

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Authorship attribution [PDF]

2007 22nd international symposium on computer and information sciences, 2007
Ilker Nadi Bozkurt, Ozgur Baghoglu, Erkan Uyar   +2 more
openaire   +2 more sources

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

More Wars of Attrib̶u̶t̶ion?

Digital Defoe: Studies in Defoe & His Contemporaries, 2023
Powell, Manushag N.
doaj   +3 more sources

Cracking double-blind review: Authorship attribution with deep learning. [PDF]

PLoS One, 2023
Bauersfeld L, Romero A, Muglikar M, Scaramuzza D.   +3 more
europepmc   +1 more source