Zobrazeno 1 - 10
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pro vyhledávání: '"Saidi, Pouria"'
Machine Learning (ML) is increasingly used across many disciplines with impressive reported results. However, recent studies suggest published performance of ML models are often overoptimistic. Validity concerns are underscored by findings of an inve
Externí odkaz:
http://arxiv.org/abs/2405.14422
Autor:
Li, Weizhi, Kadambi, Prad, Saidi, Pouria, Ramamurthy, Karthikeyan Natesan, Dasarathy, Gautam, Berisha, Visar
A two-sample hypothesis test is a statistical procedure used to determine whether the distributions generating two samples are identical. We consider the two-sample testing problem in a new scenario where the sample measurements (or sample features)
Externí odkaz:
http://arxiv.org/abs/2301.12616
Autor:
Kinahan, Sean P.1,2 skinahan@asu.edu, Saidi, Pouria3, Daliri, Ayoub1, Liss, Julie4, Berisha, Visar1,3
Publikováno v:
Journal of Speech, Language & Hearing Research. Jul2024, Vol. 67, p2053-2076. 24p.
Autor:
Saidi, Pouria, Atia, George K.
Periodic signals composed of periodic mixtures admit sparse representations in nested periodic dictionaries (NPDs). Therefore, their underlying hidden periods can be estimated by recovering the exact support of said representations. In this paper, su
Externí odkaz:
http://arxiv.org/abs/2110.13200
The ability to efficiently match the frequency of the brain's response to repetitive visual stimuli in real time is the basis for reliable SSVEP-based Brain-Computer-Interfacing (BCI). The detection of different stimuli is posed as a composite hypoth
Externí odkaz:
http://arxiv.org/abs/1801.09161
Autor:
Shukla, Ankita, Dadhich, Rishi, Singh, Rajhans, Rayas, Anirudh, Saidi, Pouria, Dasarathy, Gautam, Berisha, Visar, Turaga, Pavan
Publikováno v:
Frontiers in Computer Science; 2024, p1-11, 11p
Autor:
Saidi, Pouria
Publikováno v:
Electronic Theses and Dissertations, 2020-
In this dissertation, we investigate periodicity estimation with nested periodic dictionaries (NPDs), a newly introduced family of matrices that can capture periodicity in the data. We address two main problems. First, we study the detection of perio
Externí odkaz:
https://stars.library.ucf.edu/etd2020/1343
https://stars.library.ucf.edu/context/etd2020/article/2342/viewcontent/CFE0009314.pdf
https://stars.library.ucf.edu/context/etd2020/article/2342/viewcontent/CFE0009314.pdf
Autor:
Saidi, Pouria
Publikováno v:
Electronic Theses and Dissertations.
The human brain is unquestionably the most complex organ of the body as it controls and processes its movement and senses. A healthy brain is able to generate responses to the signals it receives, and transmit messages to the body. Some neural disord
Autor:
Saidi, Pouria, Atia, George K.
Periodic signals composed of periodic mixtures admit sparse representations in nested periodic dictionaries (NPDs). Therefore, their underlying hidden periods can be estimated by recovering the exact support of said representations. In this paper, su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcdd9cbc5f7c302a2e3b64d2e600f46c
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