Zobrazeno 1 - 10
of 56
pro vyhledávání: '"R. Honeycutt"'
Autor:
Jeremy E. Block, Ilana Bookner, Sharon Lynn Chu, R. Jordan Crouser, Donald R. Honeycutt, Rebecca M. Jonas, Abhishek Kulkarni, Yancy Vance Paredes, Eric D. Ragan
Publikováno v:
Analytics, Vol 2, Iss 2, Pp 509-529 (2023)
Analyst sensemaking research typically focuses on individual or small groups conducting intelligence tasks. This has helped understand information retrieval tasks and how people communicate information. As a part of the grand challenge of the Summer
Externí odkaz:
https://doaj.org/article/87e6bec6d0f649f497551c0ee463ac57
Autor:
Chiradeep Roy, Mahsan Nourani, Donald R. Honeycutt, Jeremy E. Block, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate
Publikováno v:
Applied AI Letters, Vol 2, Iss 4, Pp n/a-n/a (2021)
Abstract We consider the following activity recognition task: given a video, infer the set of activities being performed in the video and assign each frame to an activity. This task can be solved using modern deep learning architectures based on neur
Externí odkaz:
https://doaj.org/article/56000094290e49ed902d912c15a5afec
Autor:
Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 12:1-29
While EXplainable Artificial Intelligence (XAI) approaches aim to improve human-AI collaborative decision-making by improving model transparency and mental model formations, experiential factors associated with human users can cause challenges in way
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf05125c347dd36502e5d5971f8b062
https://doi.org/10.1145/3531066
https://doi.org/10.1145/3531066
DETOXER: A Visual Debugging Tool With Multiscope Explanations for Temporal Multilabel Classification
Publikováno v:
IEEE Computer Graphics and Applications. 42:37-46
In many applications, developed deep learning models need to be iteratively debugged and refined to improve the model efficiency over time. Debugging some models, like Temporal Multi-Label Classification (TMLC) where each datapoint can simultaneously
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83972cf4f5522401cef3ce76c5ccf21f
https://doi.org/10.1109/mcg.2022.3201465
https://doi.org/10.1109/mcg.2022.3201465
Autor:
Ragan, Jeremy E. Block, Ilana Bookner, Sharon Lynn Chu, R. Jordan Crouser, Donald R. Honeycutt, Rebecca M. Jonas, Abhishek Kulkarni, Yancy Vance Paredes, Eric D.
Publikováno v:
Analytics; Volume 2; Issue 2; Pages: 509-529
Analyst sensemaking research typically focuses on individual or small groups conducting intelligence tasks. This has helped understand information retrieval tasks and how people communicate information. As a part of the grand challenge of the Summer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::57e013ccee96ff06f5fccfd6256dd481
Akademický článek
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Autor:
Vibhav Gogate, Jeremy Block, Tahrima Rahman, Mahsan Nourani, Nicholas Ruozzi, Donald R. Honeycutt, Eric D. Ragan, Chiradeep Roy
Publikováno v:
Applied AI Letters, Vol 2, Iss 4, Pp n/a-n/a (2021)
We consider the following activity recognition task: given a video, infer the set of activities being performed in the video and assign each frame to an activity. This task can be solved using modern deep learning architectures based on neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b056bcce775bb629b8f5dd9cb8699ab3
https://doaj.org/article/56000094290e49ed902d912c15a5afec
https://doaj.org/article/56000094290e49ed902d912c15a5afec
Publikováno v:
Marine and Freshwater Behaviour and Physiology. 52:37-51
The aim of this study was to determine: (1) salinity that maximizes arm regeneration in the starfish Luidia clathrata; and (2) if low food consumption or low salinity is the cause of the reduced ra...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15ae7d67b7ce69984d9c6a37c308cd3b
https://doi.org/10.1080/10236244.2019.1629296
https://doi.org/10.1080/10236244.2019.1629296
Autor:
Tahrima Rahman, Mahsan Nourani, Vibhav Gogate, Donald R. Honeycutt, Jeremy E. Block, Eric D. Ragan, Chiradeep Roy
Publikováno v:
IUI
EXplainable Artificial Intelligence (XAI) approaches are used to bring transparency to machine learning and artificial intelligence models, and hence, improve the decision-making process for their end-users. While these methods aim to improve human u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::806244d17eb17aeefe8a3fc982b54cd9
https://doi.org/10.1145/3397481.3450639
https://doi.org/10.1145/3397481.3450639
Autor:
Gregory R. Honeycutt, Zeenat Safdar
Publikováno v:
Therapeutic Advances in Respiratory Disease, Vol 7 (2013)
Background: Pericardial effusion is an independent predictor of mortality in patients with pulmonary arterial hypertension (PAH). However, the management and outcomes of patients with pulmonary hypertension (PH) and pericardial effusion are not well
Externí odkaz:
https://doaj.org/article/b4ebe3b5582249668cfd8b040cfc4dbe