Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Alex Frid"'
Autor:
Leah Shafran-Topaz, Alex Frid, Yelena Granovsky, Shoshi Shapira, Lian Meir Yalon, Chen Buxbaum, Noam Bosak, Erel Domani, Rafi Hadad, Morir Khamaisi, David Yarnitsky
Publikováno v:
Canadian Journal of Pain, Vol 0, Iss 0 (2019)
Background: The reason some diabetic polyneuropathy (DPN) patients develop neuropathic pain while others present with painless symptoms is unknown. Altered central pain processing has been associated with neuropathic pain. Previous EEG studies found
Externí odkaz:
https://doaj.org/article/f10881444ab24032bf2ed0e585f730ad
Autor:
Leah Shafran Topaz, Alex Frid, Yelena Granovsky, Rabab Zubidat, Shoshana Crystal, Chen Buxbaum, Noam Bosak, Rafi Hadad, Erel Domany, Tayir Alon, Lian Meir Yalon, Merav Shor, Mogher Khamaisi, Irit Hochberg, Nataliya Yarovinsky, Zeev Volkovich, David L. Bennett, David Yarnitsky
Publikováno v:
European journal of neurologyREFERENCES. 30(1)
Advanced analysis of electroencephalography (EEG) data has become an essential tool in brain research. Based solely on resting state EEG signals, a data-driven, predictive and explanatory approach is presented to discriminate painful from non-painful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8398e9159fe8e6dc8b2707fc1d993ce
https://pubmed.ncbi.nlm.nih.gov/36148823
https://pubmed.ncbi.nlm.nih.gov/36148823
Autor:
Larry M. Manevitz, Alex Frid
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 88:1119-1123
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfc0c220f2c2670aa440874329ce8d51
https://doi.org/10.1007/s10472-020-09713-3
https://doi.org/10.1007/s10472-020-09713-3
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 88:1261-1274
We show that fMRI analysis using machine learning tools are sufficient to distinguish valence (i.e., positive or negative) of freely retrieved autobiographical memories in a cross-participant setting. Our methodology uses feature selection (ReliefF)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::128003433a5401b3df316d93b0270cbc
https://doi.org/10.1007/s10472-020-09705-3
https://doi.org/10.1007/s10472-020-09705-3
Autor:
Daniel Rosenfeld, Alex Frid, Vadim Holodovsky, Avner Kaidar, Raphael Peroni, Clemence Pierangelo, Colin Price, Didier Ricard, Yoav Schechner, Yoav Yair, Celine Cornet, Shmaryahu Aviad, Renaud Binet, Philippe Crebassol, Paolo Dandini, Eric Defer, Adrien Deschamps, Laetitia Fenouil
Publikováno v:
Web of Science
Clouds play a major role in Earth's energy budget and hydrological cycle. Clouds dynamical structure and mixing with the ambient air have a large impact on their vertical mass and energy fluxes and on precipitation. Most of the cloud evolution and mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b72171aebf16f1c229c563b73ee3f854
Publikováno v:
Annals of Biomedical Engineering. 48:403-412
Advanced analyses of electroencephalography (EEG) are rapidly becoming an important tool in understanding the brain's processing of pain. To date, it appears that none have been explored as a way of distinguishing between migraine patients with aura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2260b51e41849780b2afa498c671c714
https://doi.org/10.1007/s10439-019-02357-3
https://doi.org/10.1007/s10439-019-02357-3
Autor:
Larry M. Manevitz, Alex Frid
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 88:1125-1153
In the past few years, due to their ability to extract multivariate correlations, machine learning tools have become more and more important for discovery of information in very complex data sets. This has had specific application to various data set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::625ec7f0234b2e7f2e6995e91ec464f3
https://doi.org/10.1007/s10472-019-09669-z
https://doi.org/10.1007/s10472-019-09669-z
Publikováno v:
Journal of Water Resources Planning and Management. 146
Water Distribution Systems (WDSs) are critical infrastructures that supply drinking water from water sources to end-users. Smart WDSs could be designed by integrating physical components (e.g. valve and pumps) with computation and networking devices.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6be560c92fe2b6f66ebefdf904b24987
https://doi.org/10.1061/(asce)wr.1943-5452.0001259
https://doi.org/10.1061/(asce)wr.1943-5452.0001259
Autor:
Alex Frid, Larry M. Manevitz
Publikováno v:
IJCNN
We develop a method that is based on processing gathered Event Related Potentials (ERP) signals and the use of machine learning technique for multivariate analysis (i.e. classification) that we apply in order to analyze the differences between Dyslex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18cac46c4c1b2f49125850cc030d5233
https://doi.org/10.1109/ijcnn48605.2020.9207715
https://doi.org/10.1109/ijcnn48605.2020.9207715
Publikováno v:
IJCNN
In recent work, attacks on automated classification of Parkinson’s disease have encountered difficulties, especially for cross-individual generalization. This is crucial since (i) Classifying the degree of Parkinson’s disease is an important clin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba07c631a68400b34bed515cf1aa561b
https://doi.org/10.1109/ijcnn.2019.8852088
https://doi.org/10.1109/ijcnn.2019.8852088