Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jamileh Yousefi"'
Autor:
Jamileh Yousefi, Sahand Ashtab, Amirali Yasaei, Allu George, Ali Mukarram, Satinderpal Singh Sandhu
Publikováno v:
Logistics, Vol 7, Iss 2, p 29 (2023)
Background: Finding trends in freight transportation activities enables businesses and policy makers to build an understanding of freight transportation patterns and their impact on logistics planning when making investments in a region’s transport
Externí odkaz:
https://doaj.org/article/d1cee8b7c173432d9dec43c48e555771
Autor:
Jamileh Yousefi
Publikováno v:
Fuzzy Sets and Systems. 413:99-113
The accuracy-transparency trade-off is one of the most notable challenges when applying machine learning tools in the medical domain. Nefclass is a popular neuro-fuzzy classifier in medical diagnosis systems. Nefclass performs increasingly poorly as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bde702a615e57bc7a0a15f671404919d
https://doi.org/10.1016/j.fss.2020.07.011
https://doi.org/10.1016/j.fss.2020.07.011
Autor:
Jamileh Yousefi
Publikováno v:
IJCCI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd3caf6a1533f9b2aae22582cd14c3c9
https://doi.org/10.5220/0010143103090320
https://doi.org/10.5220/0010143103090320
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319992822
Nefclass is a common example of the construction of a neuro-fuzzy system. The popular Nefclass classifier exhibits surprising behaviour when the feature values of the training and testing data sets exhibit significant skew. As skewed feature values a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21df64e80923058cf8e943e6d987bdab
https://doi.org/10.1007/978-3-319-99283-9_9
https://doi.org/10.1007/978-3-319-99283-9_9
Autor:
Leila Kosseim, Jamileh Yousefi
Publikováno v:
Data & Knowledge Engineering. 66:53-67
In this paper, we discuss a novel technique based on semantic constraints to improve the performance and portability of a reformulation-based question answering system. First, we present a method for acquiring semantic-based reformulations automatica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9da90bde068fc94522faebc180b5c494
https://doi.org/10.1016/j.datak.2007.07.010
https://doi.org/10.1016/j.datak.2007.07.010
Publikováno v:
Computers in biology and medicine. 51
Effective electromyographic (EMG) signal characterization is critical in the diagnosis of neuromuscular disorders. Machine-learning based pattern classification algorithms are commonly used to produce such characterizations. Several classifiers have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fe7a35d9f142761448e38cb991f707c
https://pubmed.ncbi.nlm.nih.gov/24857941
https://pubmed.ncbi.nlm.nih.gov/24857941
Autor:
Jamileh Yousefi, Leila Kosseim
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783540322054
CICLing
CICLing
In this paper, we present a method for the automatic acquisition of semantic-based reformulations from natural language questions. Our goal is to find useful and generic reformulation patterns, which can be used in our question answering system to fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebb0ea98138491e71fb1a09e983c5301
https://doi.org/10.1007/11671299_46
https://doi.org/10.1007/11671299_46
Publikováno v:
Scopus-Elsevier
IJCCI (FCTA)
IJCCI (FCTA)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b62b5c4cbafb769edf9c7c3c27efabe8
http://www.scopus.com/inward/record.url?eid=2-s2.0-85006356590&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85006356590&partnerID=MN8TOARS