Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Amirali Darvishzadeh"'
Autor:
Negin Entezari, Justin G. Gyllen, Richard E. Mayer, Thomas F. Stahovich, Amirali Darvishzadeh
Publikováno v:
Applied Cognitive Psychology. 35:169-180
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cae822ef1f7c80aed9a892d77dde63c
https://doi.org/10.1002/acp.3750
https://doi.org/10.1002/acp.3750
Publikováno v:
Data Mining and Knowledge Discovery. 34:1104-1135
At their core, many time series data mining algorithms reduce to reasoning about the shapes of time series subsequences. This requires an effective distance measure, and for last two decades most algorithms use Euclidean Distance or DTW as their core
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7d439c61fed280361f84aa4ad72ff00
https://doi.org/10.1007/s10618-020-00695-8
https://doi.org/10.1007/s10618-020-00695-8
Autor:
Negin Entezari, Justin G. Gyllen, Amirali Darvishzadeh, Richard E. Mayer, Thomas F. Stahovich
Publikováno v:
Metacognition and Learning. 14:215-228
The present work examines the accuracy of self-reports of study time for college students. In a 10-week Mechanical Engineering course, 99 college students accessed their textbook, homework solutions, graded work, and lecture slides via custom softwar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cba817204c8faad4916ce7b595375594
https://doi.org/10.1007/s11409-019-09207-6
https://doi.org/10.1007/s11409-019-09207-6
Publikováno v:
ICMLA
In this paper, we tackle the problem of finding individual equations in students’ handwritten assignments. Mathematical equations are the most abundant type of content in solutions to free-response problems in various academic subjects, particularl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a20c0e49be775804b146bdddf2e3aa6
https://doi.org/10.1109/icmla51294.2020.00115
https://doi.org/10.1109/icmla51294.2020.00115
Publikováno v:
WSDM
Recent studies have demonstrated that machine learning approaches like deep learning methods are easily fooled by adversarial attacks. Recently, a highly-influential study examined the impact of adversarial attacks on graph data and demonstrated that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11262d06c76c702c17435ec65e2cb87d
https://doi.org/10.1145/3336191.3371789
https://doi.org/10.1145/3336191.3371789
Autor:
Shaghayegh Gharghabi, Negin Entezari, Thomas F. Stahovich, Reed Kanemaru, Amirali Darvishzadeh, Christian R. Shelton, Amir Feghahati
Publikováno v:
ICDAR
Automatic semantic labeling of strokes in online handwritten documents is a crucial task for many applications such as diagram interpretation, text recognition, and search. We formulate this task as a stroke classification problem in which each strok
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48c7bf5670f136bed7c38b7827f62973
https://doi.org/10.1109/icdar.2019.00169
https://doi.org/10.1109/icdar.2019.00169
Publikováno v:
ICDM
At their core, many time series data mining algorithms can be reduced to reasoning about the shapes of time series subsequences. This requires a distance measure, and most algorithms use Euclidean Distance or Dynamic Time Warping (DTW) as their core
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce47a5bede1256a110e901b2911766a
https://doi.org/10.1109/icdm.2018.00119
https://doi.org/10.1109/icdm.2018.00119
Publikováno v:
FIE
This study aims to identify procrastinating behavior of students by tracking their activities in an undergraduate engineering course and to explore its relationship with course performance. In our research, we have examined methods for instrumenting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a447877f9d628d4009124f2ab72e269f
https://doi.org/10.1109/fie.2018.8658662
https://doi.org/10.1109/fie.2018.8658662
Autor:
Bir Bhanu, Amirali Darvishzadeh
Publikováno v:
GECCO (Companion)
A challenging issue in multi-robot system is to design effective algorithms which enable robots to collaborate with one another in order to search and find objects of interest. Unlike most of the research on PSO (particle swarm optimization) that ado
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff8531c598abbfd9b79ac8786b6df9a
https://doi.org/10.1145/2598394.2598405
https://doi.org/10.1145/2598394.2598405