I agree that this site is using cookies. You can find further informations
here
.
X
Login
My folder (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
Show Desktop-Version
Toggle navigation
Abed-Esfahani, Pegah
24
results:
Search for persons
X
Format
Online (24)
Mediatypes
Articles (Online) (13)
OpenAccess-fulltext (11)
Sorted by: Relevance
Sorted by: Year
?
1
Evaluation of deep convolutional neural networks for in sit..:
Abed-Esfahani, Pegah
;
Darwin, Benjamin C.
;
Howard, Derek
...
PLOS ONE. 17 (2022) 1 - p. e0262717 , 2022
Link:
https://doi.org/10.1371/..
?
2
WearBreathing: Real World Respiratory Rate Monitoring Using..:
Liaqat, Daniyal
;
Abdalla, Mohamed
;
Abed-Esfahani, Pegah
...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3 (2019) 2 - p. 1-22 , 2019
Link:
https://doi.org/10.1145/..
?
3
WearBreathing : Real World Respiratory Rate Monitoring U..:
Liaqat, Daniyal
;
Abdalla, Mohamed
;
Abed-Esfahani, Pegah
...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3 (2019) 2 - p. 1-22 , 2019
Link:
https://dl.acm.org/doi/1..
?
4
Feasibility of Using a Smartwatch to Intensively Monitor Pa..:
Wu, Robert
;
Liaqat, Daniyal
;
de Lara, Eyal
...
JMIR mHealth and uHealth. 6 (2018) 6 - p. e10046 , 2018
Link:
https://doi.org/10.2196/..
?
5
Feasibility of Using a Smartwatch to Intensively Monitor Pa..:
Wu, Robert
;
Liaqat, Daniyal
;
de Lara, Eyal
...
http://mhealth.jmir.org/2018/6/e10046/. , 2018
Link:
https://doi.org/10.2196/..
?
6
Evaluation of deep convolutional neural networks for in sit..:
Pegah Abed-Esfahani
;
Benjamin C. Darwin
;
Derek Howard
...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786163/?tool=EBI. , 2022
Link:
https://doaj.org/article..
?
7
Evaluation of deep convolutional neural networks for in sit..:
Pegah Abed-Esfahani
;
Benjamin C Darwin
;
Derek Howard
...
https://doi.org/10.1371/journal.pone.0262717. , 2022
Link:
https://doi.org/10.1371/..
?
8
AUC scores for the top ten genes most predictive of schizop..:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/dataset/AUC_scores_for_the_top_ten_genes_most_predictive_of_schizophrenia_diagnosis_/19021376. , 2022
Link:
https://doi.org/10.1371/..
?
9
Overview of this study:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/figure/Overview_of_this_study_/19021355. , 2022
Link:
https://doi.org/10.1371/..
?
10
Patches of SCN4B ISH expression images that most (top) and ..:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/figure/Patches_of_i_SCN4B_i_ISH_expression_images_that_most_top_and_least_bottom_activate_embedding_dimension_40_/19021364. , 2022
Link:
https://doi.org/10.1371/..
?
11
Gene counts and prediction performance statistics for all Z..:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/dataset/Gene_counts_and_prediction_performance_statistics_for_all_Zeng_et_al_annotations_/19021346. , 2022
Link:
https://doi.org/10.1371/..
?
12
Gene counts and prediction performance (AUC, AUC-PR, maximu..:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/dataset/Gene_counts_and_prediction_performance_AUC_AUC-PR_maximum_p-value_across_folds_for_Zeng_et_al_pattern_description_annotations_/19021373. , 2022
Link:
https://doi.org/10.1371/..
?
13
Gene counts and prediction performance statistics for all t..:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/dataset/Gene_counts_and_prediction_performance_statistics_for_all_tested_gene_ontology_annotations_/19021349. , 2022
Link:
https://doi.org/10.1371/..
?
14
Gene level embeddings represented in a 2-dimensional UMAP p..:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/figure/Gene_level_embeddings_represented_in_a_2-dimensional_UMAP_projection_/19021358. , 2022
Link:
https://doi.org/10.1371/..
?
15
Rank-1 accuracy scores and fold increase over random in par..:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/dataset/Rank-1_accuracy_scores_and_fold_increase_over_random_in_parentheses_for_each_dataset_split_/19021367. , 2022
Link:
https://doi.org/10.1371/..
1-15