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1Academic Journal
المصدر: IEEE Transactions on Software Engineering pp. 1-18. (2024) (In press).
مصطلحات موضوعية: Deep Learning-Based Log Anomaly Detection, Data Resampling Methods, Class Imbalance, Empirical Analysis
وصف الملف: text
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2Academic Journal
المؤلفون: Maria Carmela Groccia, Rosita Guido, Domenico Conforti, Corrado Pelaia, Giuseppe Armentaro, Alfredo Francesco Toscani, Sofia Miceli, Elena Succurro, Marta Letizia Hribal, Angela Sciacqua
المصدر: Information, Vol 14, Iss 542, p 542 (2023)
مصطلحات موضوعية: machine learning, imbalanced data, cost-sensitive approaches, hyper-parameter optimisation, data resampling methods, predictive models, Information technology, T58.5-58.64
Relation: https://www.mdpi.com/2078-2489/14/10/542; https://doaj.org/toc/2078-2489; https://doaj.org/article/580764683d2745238a0f04f576db6923
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3Academic Journal
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
4Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
5Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
6Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
7Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
8
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
9Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
10Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
11Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
12Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
13Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
14Image
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
15
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
16
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early -
17
المؤلفون: Amirmohammad Shahbandegan (14265549), Vijay Mago (14265552), Amer Alaref (14265555), Christian B. van der Pol (14265558), David W. Savage (14265561)
مصطلحات موضوعية: Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified,
+overcrowding%22">xlink "> overcrowding, text embedding methods, roc auc score, negatively impact patients, machine learning algorithms, earliest possible time, patient &# 8217, machine learning model, best model achieved, data resampling methods, computed tomography imaging, predict patient need, ct scan order, computed tomography, patient required, patient flow, ct scan, proposed model, optimal model, final model, triage acuity, treatment area, test set, target outcome, study aims, one year, needed early
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