Zobrazeno 1 - 10
of 44
pro vyhledávání: '"John Pavlopoulos"'
Autor:
Jakub Olczak, John Pavlopoulos, Jasper Prijs, Frank F A Ijpma, Job N Doornberg, Claes Lundström, Joel Hedlund, Max Gordon
Publikováno v:
Acta Orthopaedica, Vol 92, Iss 5, Pp 513-525 (2021)
Background and purpose — Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have become common research fields in orthopedics and medicine in general. Engineers perform much of the work. While they gear the results towards
Externí odkaz:
https://doaj.org/article/d5f89633677b492791e7c073220f9c52
Autor:
Thea Sommerschield, Yannis Assael, John Pavlopoulos, Vanessa Stefanak, Andrew Senior, Chris Dyer, John Bodel, Jonathan Prag, Ion Androutsopoulos, Nando de Freitas
Publikováno v:
Computational Linguistics. :1-44
Ancient languages preserve the cultures and histories of the past. However, their study is fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from deciphering lost languages to restoring damaged inscriptions,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4d6d8ca67d66027cf58e67c315331aa
https://doi.org/10.1162/coli_a_00481
https://doi.org/10.1162/coli_a_00481
Autor:
John Pavlopoulos, Vasiliki Kougia, Paraskevi Platanou, Stepan Shabalin, Konstantina Liagkou, Emmanouil Papadatos, Holger Essler, Jean-Baptiste Camps, Franz Fischer
The automated correction of errors in the Handwritten Text Recognition (HTR) output can be challenging and is far from solved. To address this challenge, we set up a shared task on AIcrowd that received 271 submissions, of which very few succeed. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e0a99beced115648dde1dfb125e0202
https://doi.org/10.21203/rs.3.rs-2921088/v1
https://doi.org/10.21203/rs.3.rs-2921088/v1
Dating papyri accurately is crucial not only to editing their texts but also for our understanding of palaeography and the history of writing, ancient scholarship, material culture, networks in antiquity, etc. Most ancient manuscripts offer little ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f0e9c3992ee139c4467c4a517dc9196
https://doi.org/10.21203/rs.3.rs-2272076/v2
https://doi.org/10.21203/rs.3.rs-2272076/v2
Dating papyri accurately is crucial not only to editing their texts, but also for our understanding of palaeography and the history of writing, ancient scholarship, material culture, networks in antiquity, etc. Most ancient manuscripts offer little e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c22d3c6f687908c5941a419d12a48a6
https://doi.org/10.21203/rs.3.rs-2272076/v1
https://doi.org/10.21203/rs.3.rs-2272076/v1
Publikováno v:
Proceedings of the 12th Hellenic Conference on Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d4ad0069389dad551eb4902ba5c6336
https://doi.org/10.1145/3549737.3549754
https://doi.org/10.1145/3549737.3549754
Autor:
Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos, Lucas Dixon, Jeffrey Sorensen, Léo Laugier
Publikováno v:
First Monday; Volume 27, Number 9-5 September 2022
User posts whose perceived toxicity depends on conversational context are rare in current toxicity detection datasets. Hence, toxicity detectors trained on existing datasets will also tend to disregard context, making the detection of context-sensiti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf883808211e26af72877cae5d7a2994
https://firstmonday.org/ojs/index.php/fm/article/view/12285
https://firstmonday.org/ojs/index.php/fm/article/view/12285
Autor:
John Pavlopoulos, Maria Konstantinidou
Publikováno v:
International Journal of Digital Humanities.
Natural language modeling is used to predict or generate the next word or character of modern languages. Furthermore, statistical character-based language models have been found useful in authorship attribution analyses by studying the linguistic pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::936d532644c75a1bb06508d7ce3d5439
https://doi.org/10.1007/s42803-022-00046-7
https://doi.org/10.1007/s42803-022-00046-7
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective The study sought to assist practitioners in identifying and prioritizing radiography exams that are more likely to contain abnormalities, and provide them with a diagnosis in order to manage heavy workload more efficiently (eg, during a pan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8b83f679bdc61c3e4c96f3d9c6458a2
http://europepmc.org/articles/PMC8324241
http://europepmc.org/articles/PMC8324241
Autor:
John Pavlopoulos, Aristidis Likas
Commonsense knowledge is often approximated by the fraction of annotators who classified an item as belonging to the positive class. Instances for which this fraction is equal to or above 50% are considered positive, including however ones that recei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01d91e989d38e4a91eaa048d60bc384d
http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-213551
http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-213551