Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hassan, Umair ul"'
Autor:
Mansoor, Haris, Ali, Sarwan, Alam, Shafiq, Khan, Muhammad Asad, Hassan, Umair ul, Khan, Imdadullah
Analysis of the fairness of machine learning (ML) algorithms recently attracted many researchers' interest. Most ML methods show bias toward protected groups, which limits the applicability of ML models in many applications like crime rate prediction
Externí odkaz:
http://arxiv.org/abs/2211.00783
Autor:
Ali, Sarwan, Ahmad, Muhammad, Hassan, Umair ul, Khan, Muhammad Asad, Alam, Shafiq, Khan, Imdadullah
Data analysis require a pairwise proximity measure over objects. Recent work has extended this to situations where the distance information between objects is given as comparison results of distances between three objects (triplets). Humans find the
Externí odkaz:
http://arxiv.org/abs/1912.12064
Publikováno v:
In Procedia Computer Science 2023 217:423-435
This paper presents the risks and opportunities of big data and the potential social benefits it can bring. The research is based on an analysis of the societal impacts observed in a set of six case studies across different European sectors. These im
Externí odkaz:
http://arxiv.org/abs/1704.03361
Autor:
Nicholas, Lionel, Lyding, Verena, Borg, Claudia, Forascu, Corina, Fort, Karen, Zdravkova, Katerina, Kosem, Iztok, Cibej, Jaka, Holdt, Spela Arhar, Millour, Alice, Konig, Alexander, Rodosthenous, Christos, Sangati, Federico, Hassan, Umair ul, Katinskaia, Anisia, Barreiro, Anabela, Aparaschivei, Lavina, HaCohen-Kerner, Yaakov, 12th edition of the Language Resources and Evaluation Conference (LREC'20)
We introduce in this paper a generic approach to combine implicit crowdsourcing and language learning in order to mass-produce language resources (LRs) for any language for which a crowd of language learners can be involved. We present the approach b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3549::752584a3b9e9a9af52902efa6aa71c70
https://www.um.edu.mt/library/oar/handle/123456789/69182
https://www.um.edu.mt/library/oar/handle/123456789/69182
This paper presents the risks and opportunities of big data and the potential social benefits it can bring. The research is based on an analysis of the societal impacts observed in a set of six case studies across different European sectors. These im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f31677f8e5de6f46d61e8e2a551ab6f
http://arxiv.org/abs/1704.03361
http://arxiv.org/abs/1704.03361
There has been considerable efforts in modelling the semantics of Internet of Things and their specific context. Acquiring and managing metadata related to the physical devices and their surrounding environment becomes challenging due to the dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______223::90504cd087544b3209e6736e946fc301
https://mural.maynoothuniversity.ie/16014/
https://mural.maynoothuniversity.ie/16014/
Autor:
Hassan, Umair Ul, Curry, Edward
Publikováno v:
IEEE Std C2-2007; 2006, p212-219, 8p
Autor:
Sohail MA; Department of Orthopaedics, Jinnah Hospital, Lahore, Pakistan., Bashir A; Department of Orthopaedics, Jinnah Hospital, Lahore, Pakistan., Hassan UU; Department of Orthopaedics, Jinnah Hospital, Lahore, Pakistan.
Publikováno v:
JPMA. The Journal of the Pakistan Medical Association [J Pak Med Assoc] 2023 Nov; Vol. 73 (11), pp. 2257-2259.