Zobrazeno 1 - 10
of 20
pro vyhledávání: '"A.T.M. Golam Bari"'
Publikováno v:
Evolutionary Bioinformatics, Vol 2013, Iss 9, Pp 251-261 (2013)
Externí odkaz:
https://doaj.org/article/844735817c1d4dcd9de845115885e94d
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
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.
Publikováno v:
2019 ASEE Annual Conference & Exposition Proceedings.
Publikováno v:
2019 ASEE Annual Conference & Exposition Proceedings.
Publikováno v:
SSCI
The strict acceptance condition between parent and child is one of the guarantees of monotonic progress in Pareto co-evolution. However, this condition results in “stalling” in progress especially when the cardinality of test set is as large as i
Autor:
Alessio Gaspar, A.T.M. Golam Bari, Jennifer Albert, Amruth N. Kumar, Anthony Bucci, R. Paul Wiegand
Publikováno v:
ICTAI
This paper identifies design guidelines for the application of evolutionary techniques to the task of generating practice problems for learners in an Intelligent Tutoring System. To this end, we designed experiments that progressively incorporated an
Publikováno v:
Interdisciplinary Bio Central. 4:1-6
Splice site prediction in DNA sequence is a basic search problem for finding exon/intron and intron/exon boundaries. Removing introns and then joining the exons together forms the mRNA sequence. These sequences are the input of the translation proces
Autor:
Ho-Jin Choi, Byeong-Soo Jeong, Mst. Rokeya Reaz, Seokhee Jeon, Chae-Gyun Lim, A.T.M. Golam Bari
Publikováno v:
Methods (San Diego, Calif.). 67(3)
With the exponential growth of biological sequence data (DNA or Protein Sequence), DNA sequence analysis has become an essential task for biologist to understand the features, functions, structures, and evolution of species. Encoding DNA sequences is
Publikováno v:
Evolutionary Bioinformatics, Vol 9 (2013)
EVOLUTIONARY BIOINFORMATICS(9)
Evolutionary Bioinformatics
EVOLUTIONARY BIOINFORMATICS(9)
Evolutionary Bioinformatics
Effective representation of DNA sequences is one of the important tasks in the study of genome sequences. In this paper, we propose a graphical representation of DNA sequences based on nucleotide ring structure. In the proposed representation, we con