Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mahsan Nourani"'
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
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45ddc907ec9d18ac18a494a7ab2f06d6
https://doi.org/10.1109/tvcg.2023.3258693
https://doi.org/10.1109/tvcg.2023.3258693
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
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 8:112-121
Domain-specific intelligent systems are meant to help system users in their decision-making process. Many systems aim to simultaneously support different users with varying levels of domain expertise, but prior domain knowledge can affect user trust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eb1ed52362f98645c3e830d57513543
https://doi.org/10.1609/hcomp.v8i1.7469
https://doi.org/10.1609/hcomp.v8i1.7469
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 8:63-72
Mixed-initiative systems allow users to interactively provide feedback to potentially improve system performance. Human feedback can correct model errors and update model parameters to dynamically adapt to changing data. Additionally, many users desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fbce1a4fcab29a3524b4cfee9d9aeb5
https://doi.org/10.1609/hcomp.v8i1.7464
https://doi.org/10.1609/hcomp.v8i1.7464
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 8:83-91
It is becoming increasingly common for intelligent systems, such as recommender systems, to provide explanations for their generated recommendations to the users. However, we still do not have a good understanding of what types of explanations work a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddac8a26df482daf3ebe23cc70cc50c9
https://doi.org/10.1609/hcomp.v8i1.7466
https://doi.org/10.1609/hcomp.v8i1.7466
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:
UIST (Adjunct Volume)
Excessive screen-time has negative impacts on mental and physical well-being, and taking breaks is important to keeping creativity, interest, and productivity high. We developed Romadoro, a Chrome extension that uses the Pomodoro Technique and techno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d063ec895d89e4795d2887d053b18d8d
https://doi.org/10.1145/3474349.3480231
https://doi.org/10.1145/3474349.3480231
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 7:97-105
Machine learning and artificial intelligence algorithms can assist human decision making and analysis tasks. While such technology shows promise, willingness to use and rely on intelligent systems may depend on whether people can trust and understand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::974b7f78ce89724397dd94b6ad93dc72
https://doi.org/10.1609/hcomp.v7i1.5284
https://doi.org/10.1609/hcomp.v7i1.5284