Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Vassilis Virvilis"'
Autor:
Penny Nymark, Laure-Alix Clerbaux, Maria-João Amorim, Christos Andronis, Francesca de Bernardi, Gillina F. G. Bezemer, Sandra Coecke, Felicity N. E. Gavins, Daniel Jacobson, Eftychia Lekka, Luigi Margiotta-Casaluci, Marvin Martens, Sally A. Mayasich, Holly M. Mortensen, Young Jun Kim, Magdalini Sachana, Shihori Tanabe, Vassilis Virvilis, Stephen W. Edwards, Sabina Halappanavar
Publikováno v:
Frontiers in Systems Biology, Vol 4 (2024)
The COVID-19 pandemic generated large amounts of data on the disease pathogenesis leading to a need for organizing the vast knowledge in a succinct manner. Between April 2020 and February 2023, the CIAO consortium exploited the Adverse Outcome Pathwa
Externí odkaz:
https://doaj.org/article/b32c7e2267394afd8977ff3ea457fb7e
Publikováno v:
Briefings in Bioinformatics
The immense growth of MEDLINE coupled with the realization that a vast amount of biomedical knowledge is recorded in free-text format, has led to the appearance of a large number of literature mining techniques aiming to extract biomedical terms and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d8a9aa185723ec323c564cac79b5a90
https://doi.org/10.1093/bib/bbr005
https://doi.org/10.1093/bib/bbr005
Publikováno v:
Annals of Operations Research. 99:385-401
Conventional supervised learning in neural networks is carried out by performing unconstrained minimization of a suitably defined cost function. This approach has certain drawbacks, which can be overcome by incorporating additional knowledge in the t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27cd191e76969e86f95fe2adc310be6b
https://doi.org/10.1023/a:1019240304484
https://doi.org/10.1023/a:1019240304484
Autor:
Vassilis Virvilis, Stavros Perantonis
Publikováno v:
Neural Processing Letters. 10:243-252
A method is proposed for constructing salient features from a set of features that are given as input to a feedforward neural network used for supervised learning. Combinations of the original features are formed that maximize the sensitivity of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f79b2a868cae852f751c225967f3d9c9
https://doi.org/10.1023/a:1018792728057
https://doi.org/10.1023/a:1018792728057
Publikováno v:
2013 17th International Conference on System Theory, Control and Computing (ICSTCC).
We present a Web-based multimedia e-learning platform used to train orthopedic doctors and medical engineers interested in human motion analysis. The platform has evolved from a previous e-learning environment used for e-learning related to breast pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::239bddbf4ccd4e04a6abb21dc15274fc
https://doi.org/10.1109/icstcc.2013.6689047
https://doi.org/10.1109/icstcc.2013.6689047
Autor:
Vassilis Virvilis, Aris Persidis, Christos Andronis, Anuj Sharma, Ourania Konstanti, Spyros Deftereos, Andreas Persidis
Publikováno v:
Drug Repositioning: Bringing New Life to Shelved Assets and Existing Drugs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6302df42ef56ff38571543e83f934453
Publikováno v:
CloudCom
Market pressures have driven pharmaceutical companies to reassess their current drug development model and reach out to new innovative business models such as drug repositioning. Various techniques that are used in drug repositioning lend themselves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c79886f0d05eb85b901538cb072bb283
Autor:
Ioannis Pratikakis, Anna Karahaliou, Katerina Vassiou, Vassilis Virvilis, Dimitrios Kosmopoulos, Stavros Perantonis
In this paper, a Web-based e-Training platform that is dedicated to multimodal breast imaging is presented. The assets of this platform are summarised in (i) the efficient representation of the curriculum flow that will permit efficient training; (ii
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b6fa987c57cbb423feff2a0a9d04881
Autor:
Vassilis Virvilis, Stavros Perantonis
Publikováno v:
IJCNN
A neural network based method for feature extraction is proposed. The method achieves dimensionality reduction of input vectors used for supervised learning problems. Combinations of the original features are formed that maximize the sensitivity of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::967f322b55d401c60395298f05c518e1
https://doi.org/10.1109/ijcnn.1999.831129
https://doi.org/10.1109/ijcnn.1999.831129
Autor:
S. J. Perantonos, Vassilis Virvilis
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 13(3)
An algorithm is proposed for training the single-layered perceptron. The algorithm follows successive steepest descent directions with respect to the perceptron cost function, taking care not to increase the number of misclassified patterns. The prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::627d10aa5e61d011b2eb703c0f80a17c
https://pubmed.ncbi.nlm.nih.gov/10937968
https://pubmed.ncbi.nlm.nih.gov/10937968