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Did you mean f nosrati (21 results)?
Feature Selection Using F-statistic Values for EEG Signal Analysis.
Peng G, Nourani M, Harvey J, Dave H. Peng G, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5963-5966. doi: 10.1109/EMBC44109.2020.9176434. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33019330
Features are then ranked across all channels using F-statistic values and selected for SVM classification. Experimentation using CHB-MIT dataset shows that our method achieves average sensitivity, specificity and F-1 score of 92.63%, 99.72% and 91.21%, respectively. …
Features are then ranked across all channels using F-statistic values and selected for SVM classification. Experimentation using CHB- …
Personalized EEG Feature Selection for Low-Complexity Seizure Monitoring.
Peng G, Nourani M, Harvey J, Dave H. Peng G, et al. Int J Neural Syst. 2021 Aug;31(8):2150018. doi: 10.1142/S0129065721500180. Epub 2021 Mar 22. Int J Neural Syst. 2021. PMID: 33752579
Experimental results of analyzing 23 subjects in CHB-MIT database are quite promising. We have achieved an average F-1 score of 88% with excellent sensitivity and specificity using not more than 7 features extracted from at most 3 channels....
Experimental results of analyzing 23 subjects in CHB-MIT database are quite promising. We have achieved an average F-1 score of 88% w …
LSD600: the first corpus of biomedical abstracts annotated with lifestyle-disease relations.
Nourani E, Makri EM, Mao X, Pyysalo S, Brunak S, Nastou K, Jensen LJ. Nourani E, et al. Database (Oxford). 2025 Jan 13;2025:baae129. doi: 10.1093/database/baae129. Database (Oxford). 2025. PMID: 39824652 Free PMC article.
We evaluated LSD600's quality by training a RoBERTa model on the corpus, achieving an F-score of 68.5% for the multilabel RE task on the held-out test set. We further validated LSD600 by using the trained model on the two Nutrition-Disease and FoodDisease datasets, where i …
We evaluated LSD600's quality by training a RoBERTa model on the corpus, achieving an F-score of 68.5% for the multilabel RE task on …
A methodology for estimating indoor sources contributing to PM2.5.
Nourani S, Villalobos AM, Jorquera H. Nourani S, et al. Environ Sci Process Impacts. 2024 Dec 11;26(12):2288-2296. doi: 10.1039/d4em00538d. Environ Sci Process Impacts. 2024. PMID: 39535035
A cluster-wise indoor-outdoor PM(2.5) regression was applied to estimate STP-specific infiltration factors (F(inf)) per school. The median and interquartile range (IQR) values for F(inf) are 0.83 [0.7-0.89], 0.76 [0.68-0.84], 0.72 [0.64-0.81], and 0.7 [0.62-0.9], fo …
A cluster-wise indoor-outdoor PM(2.5) regression was applied to estimate STP-specific infiltration factors (F(inf)) per school. The m …
Lifestyle factors in the biomedical literature: an ontology and comprehensive resources for named entity recognition.
Nourani E, Koutrouli M, Xie Y, Vagiaki D, Pyysalo S, Nastou K, Brunak S, Jensen LJ. Nourani E, et al. Bioinformatics. 2024 Nov 1;40(11):btae613. doi: 10.1093/bioinformatics/btae613. Bioinformatics. 2024. PMID: 39412443 Free PMC article.
Evaluating the performance of both NER systems on the corpus revealed an F-score of 64% for the dictionary-based system and 76% for the transformer-based system. ...
Evaluating the performance of both NER systems on the corpus revealed an F-score of 64% for the dictionary-based system and 76% for t …
The detection and monitoring of pollution caused by gold mining using a vegetation cover index.
Andaryani S, Nourani V, Ershadfath F, Hashemi F, Haghighi AT, Keesstra S. Andaryani S, et al. Environ Sci Pollut Res Int. 2023 Jan;30(3):8020-8035. doi: 10.1007/s11356-022-22773-8. Epub 2022 Sep 1. Environ Sci Pollut Res Int. 2023. PMID: 36048390
The analysis included the following: (a) the extraction of normalized difference vegetation index (NDVI) maps from Landsat images in three zones, i.e., mining operations, upstream areas without any exploration, and the downstream area of the mining activities, (b) calculation of …
The analysis included the following: (a) the extraction of normalized difference vegetation index (NDVI) maps from Landsat images in three z …
ADA-COVID: Adversarial Deep Domain Adaptation-Based Diagnosis of COVID-19 from Lung CT Scans Using Triplet Embeddings.
Aria M, Nourani E, Golzari Oskouei A. Aria M, et al. Comput Intell Neurosci. 2022 Feb 8;2022:2564022. doi: 10.1155/2022/2564022. eCollection 2022. Comput Intell Neurosci. 2022. PMID: 35154300 Free PMC article.
The obtained results indicate that ADA-COVID achieves classification improvements of at least 3%, 20%, 20%, and 11% in accuracy, precision, recall, and F(1) score, respectively, compared to the best results of competitors, even without directly training on the same data. . …
The obtained results indicate that ADA-COVID achieves classification improvements of at least 3%, 20%, 20%, and 11% in accuracy, precision, …
Single and multi-subject clustering of flow cytometry data for cell-type identification and anomaly detection.
Pouyan MB, Jindal V, Birjandtalab J, Nourani M. Pouyan MB, et al. BMC Med Genomics. 2016 Aug 10;9 Suppl 2(Suppl 2):41. doi: 10.1186/s12920-016-0201-x. BMC Med Genomics. 2016. PMID: 27510222 Free PMC article.
RESULTS: Our experimentation on 42 flow cytometry datasets indicates high performance and accurate clustering (F-measure > 91 %) in identifying main cellular populations. Furthermore, our anomaly detection technique evaluated on Acute Myeloid Leukemia dataset results in …
RESULTS: Our experimentation on 42 flow cytometry datasets indicates high performance and accurate clustering (F-measure > 91 %) i …