Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Alessio Gaspar"'
Publikováno v:
Informatics in Education, Vol 9, Iss 1, Pp 19-36 (2010)
This qualitative study explores how using Peer Learning Forums (PLF) in an online asynchronous computer programming course can be analyzed to derive information about Student Activity Focus (SAF) for adult Information Technology students. Three instr
Externí odkaz:
https://doaj.org/article/bb7b26d0a3914b97bfc1bc562c28f392
Autor:
Dmytro Vitel, Alessio Gaspar
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b461ac5a5cf44d68ffbf2b00dd8bd790
https://doi.org/10.1145/3520304.3534024
https://doi.org/10.1145/3520304.3534024
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be7ccf36c587daaae37d939387cef38d
https://doi.org/10.1145/3520304.3534025
https://doi.org/10.1145/3520304.3534025
Autor:
Anthony Bucci, Alessio Gaspar, Amruth N. Kumar, Jennifer Albert, A.T.M. Golam Bari, R. Paul Wiegand
Publikováno v:
Genetic Programming and Evolvable Machines. 20:213-244
The automated design of a set of practice problems that co-adapts to a population of learners is a challenging problem. Fortunately, coevolutionary computation offers a rich framework to study interactions between two co-adapting populations of teach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d091c567a514b94c537c8e789768795a
https://doi.org/10.1007/s10710-019-09343-7
https://doi.org/10.1007/s10710-019-09343-7
Publikováno v:
FLAIRS Conference
The effect of semantically neutral tree rewrites is analyzed in the context of genetic programming applied to Boolean domain problems. Different setups of the proposed Neutral Rewrite Operator are studied from the perspective of improving performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a473a1a9d6d16322555315bd7f9101b
https://doi.org/10.32473/flairs.v34i1.128527
https://doi.org/10.32473/flairs.v34i1.128527
Autor:
Alessio Gaspar, A.T.M. Golam Bari, Dmytro Vitel, Kok Cheng Tan, Jennifer Albert, Rudolf Wiegand
Publikováno v:
2019 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9342f85efa15b0c023e48720a11870b3
https://doi.org/10.18260/1-2--32383
https://doi.org/10.18260/1-2--32383
Publikováno v:
2019 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f1ea36de5b039c2d0c38630e725a17a
https://doi.org/10.18260/1-2--33060
https://doi.org/10.18260/1-2--33060
Publikováno v:
2019 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c27e043faaa51c95caaf3d3fac3b170a
https://doi.org/10.18260/1-2--33142
https://doi.org/10.18260/1-2--33142
Autor:
Alessio Gaspar, Atm Golam Bari
Publikováno v:
2018 21st International Conference of Computer and Information Technology (ICCIT).
In previous studies, we proposed four relaxed selections schemes for test-based Pareto coevolution as implemented by a variant of the Population based Pareto Hill Climber (P-PH C- P) Three of them outperformed the default selection used in P-PHC-P in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c31dcb716bc2cc91265e2b4a59a7e89d
https://doi.org/10.1109/iccitechn.2018.8631964
https://doi.org/10.1109/iccitechn.2018.8631964
Autor:
Atm Golam Bari, Alessio Gaspar
Publikováno v:
CEC
The Teaching Learning Based Optimization (TLBO) algorithm simulates the knowledge-transfer process between teacher and learners as well as between peer learners. Although TLBO has been already successfully applied to both constrained and unconstraine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7402cab88023a211a0598e0270bae682
https://doi.org/10.1109/cec.2018.8477702
https://doi.org/10.1109/cec.2018.8477702