( en | de | ru )

 

Disambiguation of "Sen, Ayon"

Author of the publication

copydeleteadd this publication to your clipboard
Enhancing generalization through an optimized sequential curriculum: Learning (to read) through machine teaching.

, , , , and . CogSci, cognitivesciencesociety.org, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Nikhilranjan Sen

Ramen Sen

Sen Ye

Parimal Sen

Miktat Sen

 

Other publications of authors with the same name

Binarization With Boosting and Oversampling for Multiclass Classification., , , and . IEEE Trans. Cybern., 46 (5): 1078-1091 (2016)Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception., , , and . GameSec, volume 12513 of Lecture Notes in Computer Science, page 188-199. Springer, (2020)Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice., , , , , , and . EDM, International Educational Data Mining Society (IEDMS), (2018)Palindromic Subsequence Automata and Longest Common Palindromic Subsequence., , , and . Math. Comput. Sci., 11 (2): 219-232 (2017)SceneCalib: Automatic Targetless Calibration of Cameras and Lidars in Autonomous Driving., , , and . ICRA, page 7771-7777. IEEE, (2023)On Palindromic Sequence Automata and Applications., , , and . CIAA, volume 7982 of Lecture Notes in Computer Science, page 158-168. Springer, (2013)Training Set Camouflage., , , , , and . GameSec, volume 11199 of Lecture Notes in Computer Science, page 59-79. Springer, (2018)An algorithmic framework based on the binarization approach for supervised and semi-supervised multiclass problems., , and . IJCNN, page 175-182. IEEE, (2014)Enhancing generalization through an optimized sequential curriculum: Learning (to read) through machine teaching., , , , and . CogSci, cognitivesciencesociety.org, (2020)Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings., , and . AIED (1), volume 11625 of Lecture Notes in Computer Science, page 406-418. Springer, (2019)