Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sarala Padi"'
Autor:
Sarala Padi, Petru Manescu, Nicholas Schaub, Nathan Hotaling, Carl Simon, Jr., Kapil Bharti, Peter Bajcsy
Publikováno v:
Informatics in Medicine Unlocked, Vol 18, Iss , Pp - (2020)
Predicting Retinal Pigment Epithelium (RPE) cell functions in stem cell implants using non-invasive bright field microscopy imaging is a critical task for clinical deployment of stem cell therapies. Such cell function predictions can be carried out u
Externí odkaz:
https://doaj.org/article/27a42d27886e42f8a32be72ce2169d08
Automatic emotion recognition plays a key role in computer-human interaction as it has the potential to enrich the next-generation artificial intelligence with emotional intelligence. It finds applications in customer and/or representative behavior a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb58cde3b2429b362346f76d63ff9591
http://arxiv.org/abs/2202.08974
http://arxiv.org/abs/2202.08974
Publikováno v:
ICMI
Automatic speech emotion recognition (SER) is a challenging task that plays a crucial role in natural human-computer interaction. One of the main challenges in SER is data scarcity, i.e., insufficient amounts of carefully labeled data to build and fu
In this paper we analyze elements of the Unified Modeling Language (UML), specifically the class diagram, and propose an simplified alternative language based on a branch of mathematics called category theory (CT). We argue that modeling in CT provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a02d9b5dcb3fcfbb614ed8e07dba644
https://doi.org/10.6028/nist.ir.8358
https://doi.org/10.6028/nist.ir.8358
Publikováno v:
Journal of forensic sciencesREFERENCES. 66(3)
Forensic activities related to footwear evidence may be broadly classified into the following two categories: (1) intelligence gathering and (2) evidential value assessment. Intelligence gathering provides additional leads for investigators. Assessme
Autor:
Peter Bajcsy, Petre Manescu, Carl G. Simon, Kapil Bharti, Qin Wan, Mylene Simon, Aman George, Joe Chalfoun, Nicholas J. Schaub, Nathan Hotaling, Sarala Padi, Ruchi Sharma, Mohamed Ouladi
Publikováno v:
J Clin Invest
Increases in the number of cell therapies in the preclinical and clinical phases have prompted the need for reliable and noninvasive assays to validate transplant function in clinical biomanufacturing. We developed a robust characterization methodolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d33b2bca1518cd629c60b2b112b44d2a
https://europepmc.org/articles/PMC6994191/
https://europepmc.org/articles/PMC6994191/
Autor:
Nicholas J. Schaub, Petru Manescu, Nathan Hotaling, Sarala Padi, Kapil Bharti, Carl G. Simon, Peter Bajcsy
Publikováno v:
Informatics in medicine unlocked
Informatics in Medicine Unlocked, Vol 18, Iss, Pp-(2020)
Informatics in Medicine Unlocked, Vol 18, Iss, Pp-(2020)
Predicting Retinal Pigment Epithelium (RPE) cell functions in stem cell implants using non-invasive bright field microscopy imaging is a critical task for clinical deployment of stem cell therapies. Such cell function predictions can be carried out u
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 48:967-981
This paper presents a category theoretic ontology of Carnatic music. Our goals here are twofold. First, we will demonstrate the power and flexibility of conceptual modeling techniques based on a branch of mathematics called category theory (CT), usin
Autor:
Carl G. Simon, Petru Manescu, Nathan Hotaling, Sarala Padi, Peter Bajcsy, Nicholas J. Schaub, Michael Majurski
Publikováno v:
CVPR Workshops
We address the problem of segmenting cell contours from microscopy images of human induced pluripotent Retinal Pigment Epithelial stem cells (iRPE) using Convolutional Neural Networks (CNN). Our goal is to compare the accuracy gains of CNN-based segm
Autor:
Hema A. Murthy, Sarala Padi
Publikováno v:
Sādhanā. 43
Concert recordings of Carnatic music are often continuous and unsegmented. At present, these recordings are manually segmented into items for making CDs. The objective of this paper is to develop algorithms that segment continuous concert recordings