Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Lawrence B. Holder"'
Autor:
Terrance E. Boult, Nicolas M. Windesheim, Steven Zhou, Christopher Pereyda, Lawrence B. Holder
Publikováno v:
Algorithms, Vol 15, Iss 10, p 381 (2022)
Algorithms for automated novelty detection and management are of growing interest but must address the inherent uncertainty from variations in non-novel environments while detecting the changes from the novelty. This paper expands on a recent unified
Externí odkaz:
https://doaj.org/article/da1bc3063883406ab24f23ce048c163c
Publikováno v:
Epigenetics, Vol 12, Iss 7, Pp 505-514 (2017)
Understanding epigenetic processes holds immense promise for medical applications. Advances in Machine Learning (ML) are critical to realize this promise. Previous studies used epigenetic data sets associated with the germline transmission of epigene
Externí odkaz:
https://doaj.org/article/2b104961cabd482c8cac9286a575a38d
Publikováno v:
ACM Trans Comput Healthc
New modes of technology are offering unprecedented opportunities to unobtrusively collect data about people's behavior. While there are many use cases for such information, we explore its utility for predicting multiple clinical assessment scores. Be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fd486aa20c3dce6e660111bd1bc716e
https://doi.org/10.1145/3531231
https://doi.org/10.1145/3531231
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-25 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background Deep learning is an active bioinformatics artificial intelligence field that is useful in solving many biological problems, including predicting altered epigenetics such as DNA methylation regions. Deep learning (DL) can learn an informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::523e434f3049f5ca4c2eb672fc7a3201
https://doaj.org/article/11d9440dcac14dd09160739ebfdd289e
https://doaj.org/article/11d9440dcac14dd09160739ebfdd289e
Publikováno v:
PLoS ONE, Vol 10, Iss 11, p e0142274 (2015)
Environmentally induced epigenetic transgenerational inheritance of disease and phenotypic variation involves germline transmitted epimutations. The primary epimutations identified involve altered differential DNA methylation regions (DMRs). Differen
Externí odkaz:
https://doaj.org/article/0600c16e0ed54cce93c02033167fbb8f
Publikováno v:
Intelligent Data Analysis
Intelligent Data Analysis, IOS Press, 2019, 23 (1), pp.103-132. ⟨10.3233/IDA-173705⟩
Intelligent Data Analysis, IOS Press, 2019, 23 (1), pp.103-132. ⟨10.3233/IDA-173705⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d796aadb49baf7dc6e2f3b880f9528bc
https://doi.org/10.3233/ida-173705
https://doi.org/10.3233/ida-173705
Autor:
Lawrence B. Holder, Zachary Wemlinger
Publikováno v:
Pervasive and Mobile Computing. 51:150-159
Effectively recognizing activities in smart environments requires either matching sensors to semantic models or labeled training data from the target environment for machine learning. Combining knowledge-driven and data-driven approaches improves act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::210017c567b89b8a15e6ab2a34eeaa49
https://doi.org/10.1016/j.pmcj.2018.10.004
https://doi.org/10.1016/j.pmcj.2018.10.004
Autor:
William Eberle, Lawrence B. Holder
Publikováno v:
IEEE BigData
Discovering patterns and anomalies in a variety of voluminous data represented as a graph is challenging. Current research has demonstrated success discovering graph patterns using a sampling of the data, but there has been little work when it comes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ad5a288abfd0e62cb5cea50b4c05b4
https://doi.org/10.1109/bigdata50022.2020.9378091
https://doi.org/10.1109/bigdata50022.2020.9378091
Autor:
Maureen Schmitter-Edgecombe, Lawrence B. Holder, Emily Faust, Katelyn Brown, Reanne Cunningham, Catherine A Sumida, Diane J. Cook
Publikováno v:
Alzheimer's & Dementia. 16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2494a8906b87230d54e2a25220cfb94a
https://doi.org/10.1002/alz.046378
https://doi.org/10.1002/alz.046378
Autor:
Yu-Chen Hou, Lawrence B. Holder
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research. 9:21-40
Deep learning has been successful in various domains including image recognition, speech recognition and natural language processing. However, the research on its application in graph mining is still in an early stage. Here we present Model R, a neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a000f9d1439c97df791b142990f6fc4
https://doi.org/10.2478/jaiscr-2018-0022
https://doi.org/10.2478/jaiscr-2018-0022