Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mehryar, Shervin"'
Autor:
Sattarzadeh, Sam, Sudhakar, Mahesh, Lem, Anthony, Mehryar, Shervin, Plataniotis, K. N., Jang, Jongseong, Kim, Hyunwoo, Jeong, Yeonjeong, Lee, Sangmin, Bae, Kyunghoon
As an emerging field in Machine Learning, Explainable AI (XAI) has been offering remarkable performance in interpreting the decisions made by Convolutional Neural Networks (CNNs). To achieve visual explanations for CNNs, methods based on class activa
Externí odkaz:
http://arxiv.org/abs/2010.00672
Autor:
Mehryar, Shervin, Win, Moe Z.
Today's power generation and distribution networks are quickly moving toward automated control and integration of renewable resources - a complex, integrated system termed the Smart Grid. A key component in planning and managing of Smart Grids is Sta
Externí odkaz:
http://arxiv.org/abs/1912.12824
Publikováno v:
International SWAT4HCLS Conference
Gene Ontology (GO) and its Annotations (GOA) provide an evolving and controlled vocabulary for gene functions to enhance the understanding of molecular biology. GO & GOA are maintained automatically from biological publications or manually by curator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f46985267a9d94a21326a1ed0af4570b
https://repository.publisso.de/resource/frl:6440376
https://repository.publisso.de/resource/frl:6440376
Autor:
Sattarzadeh, Sam, Sudhakar, Mahesh, Lem, Anthony, Mehryar, Shervin, Plataniotis, K. N., Jang, Jongseong, Kim, Hyunwoo, Jeong, Yeonjeong, Lee, Sangmin, Bae, Kyunghoon
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:11639-11647
As an emerging field in Machine Learning, Explainable AI (XAI) has been offering remarkable performance in interpreting the decisions made by Convolutional Neural Networks (CNNs). To achieve visual explanations for CNNs, methods based on class activa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::025e3ff2115ef26e8643243d717310bb
https://doi.org/10.1609/aaai.v35i13.17384
https://doi.org/10.1609/aaai.v35i13.17384
Question answering systems have recently been integrated with many smart devices and search engines. Answer type prediction plays an important role in question answering systems as it can help filter irrelevant results and improve overall search and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b76cff6c6521f5dc42edc203de41ad0
Publikováno v:
2012 IEEE International Conference on Communications (ICC); 1/ 1/2012, p4410-4415, 6p