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1Conference
المؤلفون: Adam Dooley, Mihai Penica, Sean McGrath, William O'Brien, Mangolika Bhattacharya, Eoin O’Connell
مصطلحات موضوعية: Engineering, virtual reality, immersive technology, real-world scenarios, virtual environment, VR
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2Academic Journal
المؤلفون: Teshaboyeva Nafisa, Xakimbekova Marjona
المصدر: ACUMEN: INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH, 1(4), 148-153, (2024-11-22)
مصطلحات موضوعية: Business English, Travel English, Specialized vocabulary, Task-based learning, Authentic materials, Role-play activities, Pre-listening tasks, While-listening tasks, Post-listening tasks, Survival listening, Real-world scenarios, Functional language, listening comprehension, Need analysis, Cultural cues, Technology in language teaching, Listening assessment
Relation: https://doi.org/10.5281/zenodo.14206047; https://doi.org/10.5281/zenodo.14206048; oai:zenodo.org:14206048
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3Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
4Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الاتاحة: https://doi.org/10.1371/journal.pgen.1010657.s004
https://figshare.com/articles/journal_contribution/Loss_function_value_trajectories_calculated_on_training_and_validation_data_for_versions_of_IntroUNET_with_increasing_sample_sizes_32_64_and_128_individuals_per_subpopulation_training_set_sizes_1000_10000_and_100000_alignments_and_window_si/25252375 -
5Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
6Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
7Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
8Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
9Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الاتاحة: https://doi.org/10.1371/journal.pgen.1010657.s006
https://figshare.com/articles/journal_contribution/Performance_of_IntroUNET_on_the_task_of_identifying_introgression_on_a_dataset_where_introgression_is_occurring_in_only_one_direction_but_IntroUNET_was_trained_to_detect_bidirectional_introgression_/25252381 -
10Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الاتاحة: https://doi.org/10.1371/journal.pgen.1010657.s008
https://figshare.com/articles/journal_contribution/Five_randomly_chosen_example_segmentations_on_simulations_from_our_simple_bidirectional_introgression_scenario_with_relatively_strong_positive_selection_acting_on_each_introgressed_nucleotide_i_s_i_1_10_sup_5_sup_or_0_095_for_a_10_kb_introg/25252387 -
11Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
12Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
13Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
14Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
15Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الاتاحة: https://doi.org/10.1371/journal.pgen.1010657.s012
https://figshare.com/articles/journal_contribution/Diagram_of_the_ghost_introgression_demographic_model_from_40_in_which_an_unsampled_archaic_population_splits_off_from_the_main_population_before_a_pulse_introgression_event_introduces_alleles_from_this_population_into_a_sampled_Target_popul/25252399 -
16Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
17Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
18Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs -
19Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الاتاحة: https://doi.org/10.1371/journal.pgen.1010657.s015
https://figshare.com/articles/journal_contribution/Calibration_curves_showing_the_impact_of_Platt_scaling_on_the_accuracy_of_the_introgression_probability_estimates_produced_by_IntroUNET_calculated_on_the_validation_set_from_the_i_Drosophila_i_simulations_Methods_/25252408 -
20Academic Journal
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الاتاحة: https://doi.org/10.1371/journal.pgen.1010657.s018
https://figshare.com/articles/journal_contribution/Results_of_training_the_same_architecture_on_data_seriated_via_different_distance_metrics_as_well_as_using_unsorted_data_i_e_individuals_within_each_population_are_arranged_in_the_arbitrary_order_produced_by_the_simulator_for_the_ghost-intr/25252417