Learning from Data Streams

Autor: Joao Gama, Rodrigues, Pp

Publikováno v: CIÊNCIAVITAE
Authenticus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6c28227ccffef15666f5a5ee434600a6
https://www.authenticus.pt/P-008-KXF

A Process Mining Analysis on a Virtual Electronic Patient Record System

Autor: Rebuge, Alvaro, Lapao, Luis Velez, Freitas, Alberto, Cruz-Correia, Ricardo, Rodrigues, Pp, Pechenizkiy, M., Gama, J., Correia, Rc, Liu, J., Traina, A., Lucas, P., Soda, P.

Publikováno v: CIÊNCIAVITAE
ResearcherID

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::057b59930ca85a064f56920f6dc5e0f4
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000341591900116&KeyUID=WOS:000341591900116

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, June 20-22, 2013

Autor: Rodrigues, Pp, Pechenizkiy, M., Joao Gama, Correia, Rc, Liu, J., Traina, Ajm, Lucas, Pjf, Soda, P.

Publikováno v: CIÊNCIAVITAE
Authenticus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::128bd206f37d4f23fc0c628c20f3ebdc
https://www.authenticus.pt/P-008-KWW

Muppets: Multipurpose Table Segmentation

Autor: Luc De Raedt, José Hernández-Orallo, Lidia Contreras-Ochando, Cèsar Ferri, Gust Verbruggen

Publikováno v: Advances in Intelligent Data Analysis XIX ISBN: 9783030742508
IDA
Advances in Intelligent Data Analysis XIX-19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advances in Intelligent Data Analysis XIX

We present muppets, a framework for partitioning cells in a table in segments that fulfil the same semantic role or belong to the same semantic data type, similar to how image segmentation is used to group pixels that represent the same semantic obje

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ac9e7340ce1f1f4fdc6477925c72991
https://doi.org/10.1007/978-3-030-74251-5_31

Estimation of Heart Failure Patients Medication Adherence through the Utilization of Saliva and Breath Biomarkers and Data Mining Techniques

Autor: Theofilos G. Papadopoulos, Abdelhamid Errachid, Maria Chiara Scali, Katerina K. Naka, Yorgos Goletsis, Georgia S. Karanasiou, Francesca G. Bellagambi, Mario Marzilli, D.I. Fotiadis, Fanis G. Kalatzis, Roger Fuoco, Aris Bechlioulis, Evanthia E. Tripoliti, Tommaso Lomonaco, S. Ghimenti

Publikováno v: 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
Bamidis PD, Konstantinidis ST, Rodrigues PP. 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), Jun 2017, Thessaloniki, Greece. Proceedings Papers 2017 IEEE-30th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS), IEEE, pp.231-235, 2017, 978-1-5386-1710-6. ⟨10.1109/CBMS.2017.68⟩
CBMS

International audience; The aim of this work is to estimate the medication adherence of patients with heart failure through the application of a data mining approach on a dataset including information from saliva and breath biomarkers. The method con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c76272fcd50bf2ca656c096f59fa2b27
https://hal.archives-ouvertes.fr/hal-01859491