Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Cristina Soviany"'
Autor:
Sorin Soviany, Cristina Soviany
Publikováno v:
Breakthroughs in Digital Biometrics and Forensics ISBN: 9783031107054
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc1ea1de15018af7a499f926dbadeac0
https://doi.org/10.1007/978-3-031-10706-1_3
https://doi.org/10.1007/978-3-031-10706-1_3
Publikováno v:
Journal of International Financial Markets, Institutions and Money. 83:101735
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2db2375bebac6264ae16f4908516eb2a
https://doi.org/10.1016/j.intfin.2023.101735
https://doi.org/10.1016/j.intfin.2023.101735
Autor:
Leonard Heilig, Kai Brüssau, Cristina Soviany, Kevin Daimi, Hamid R. Arabnia, Robert Stahlbock
Publikováno v:
Principles of Data Science ISBN: 9783030439804
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eca8fd096e1725aaa13b48e2556864e
https://doi.org/10.1007/978-3-030-43981-1_13
https://doi.org/10.1007/978-3-030-43981-1_13
Autor:
Sorin Soviany, Cristina Soviany
Publikováno v:
Principles of Data Science ISBN: 9783030439804
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df89f8f46abe7480556a0116f1233b20
https://doi.org/10.1007/978-3-030-43981-1_5
https://doi.org/10.1007/978-3-030-43981-1_5
Autor:
Cristina Soviany, Sorin Soviany
Publikováno v:
Principles of Data Science ISBN: 9783030439804
The actual major issues for application development in various domains, including the financial industry and the associated uses-cases, concern the ways in which big data can be approached in order to meet the real-case constraints. There are already
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fafb6a7989d32f7f2d485293315ff25
https://doi.org/10.1007/978-3-030-43981-1_11
https://doi.org/10.1007/978-3-030-43981-1_11
Autor:
Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau
This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data
Publikováno v:
2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
The paper approaches the feature-level fusion for biometric authentication, a big challenge for the actual biometric security systems design. A hierarchical inter-modal fusion method is proposed and evaluated for a reduced feature space. The feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea37a989a818b8cb19ee14713b327382
https://doi.org/10.1109/ecai.2018.8679036
https://doi.org/10.1109/ecai.2018.8679036
Publikováno v:
2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
The multimodal biometric systems optimization is approached with a biometric data fusion model that is based on an intra-modal and inter-modal feature combination. The intra-modal feature fusion is applied for the same biometric trait and it is suita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::756b43b3260610eba2beaa9c3cabef14
https://doi.org/10.1109/ecai.2017.8166466
https://doi.org/10.1109/ecai.2017.8166466
Autor:
Karien Treurnicht, Cristina Soviany, Rina Nir, S Govindaraju, Michael Jarmulowicz, Mark Emberton, Philippe Autier, Dror Nir, Johan G. Braeckman, Dirk Michielsen, Harry Bleiberg
Publikováno v:
BJU International. 102:1560-1565
OBJECTIVE To determine the extent to which computer-aided ultrasonography of the prostate (HistoScanningTM, Advanced Medical Diagnostics, Waterloo, Belgium) can identify tumour foci that correspond to a volume of ≥0.50 mL. PATIENTS AND METHODS Betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0daf6b9c77a558876bab35d84e8faa5f
https://doi.org/10.1111/j.1464-410x.2008.07878.x
https://doi.org/10.1111/j.1464-410x.2008.07878.x
Autor:
Rina Nir, Christian Garbar, Johan G. Braeckman, Dror Nir, Dirk Michielsen, Mark Emberton, Miriam Marichal, Philippe Autier, Harry Bleiberg, Cristina Soviany, Lars Egevad
OBJECTIVE To assess the extent to which prostate HistoScanningTM (PHS), a new ultrasound-based technology that uses computer-aided analysis to quantify tissue disorganization induced by malignant processes, can identify and characterize foci of prost
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c1f7cde14a6df3cb679e1bb8d48a86a
https://hdl.handle.net/20.500.14017/65ff96ff-711b-4263-a0f0-9ff884f31668
https://hdl.handle.net/20.500.14017/65ff96ff-711b-4263-a0f0-9ff884f31668