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Institution

SIDI

About: SIDI is a based out in . It is known for research contribution in the topics: Density functional theory & Band gap. The organization has 9122 authors who have published 10347 publications receiving 130442 citations.


Papers
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Journal ArticleDOI
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as discussed by the authors provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.

5,668 citations

Journal ArticleDOI
Haidong Wang1, Mohsen Naghavi1, Christine Allen1, Ryan M Barber1  +841 moreInstitutions (293)
TL;DR: The Global Burden of Disease 2015 Study provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015, finding several countries in sub-Saharan Africa had very large gains in life expectancy, rebounding from an era of exceedingly high loss of life due to HIV/AIDS.

4,804 citations

Journal ArticleDOI
TL;DR: An exhaustive list of in vitro antimicrobial susceptibility testing methods and detailed information on their advantages and limitations are reported.

3,499 citations

Journal ArticleDOI
Amina Adadi1, Mohammed Berrada1
TL;DR: This survey provides an entry point for interested researchers and practitioners to learn key aspects of the young and rapidly growing body of research related to XAI, and review the existing approaches regarding the topic, discuss trends surrounding its sphere, and present major research trajectories.
Abstract: At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the shift towards a more algorithmic society. However, even with such unprecedented advancements, a key impediment to the use of AI-based systems is that they often lack transparency. Indeed, the black-box nature of these systems allows powerful predictions, but it cannot be directly explained. This issue has triggered a new debate on explainable AI (XAI). A research field holds substantial promise for improving trust and transparency of AI-based systems. It is recognized as the sine qua non for AI to continue making steady progress without disruption. This survey provides an entry point for interested researchers and practitioners to learn key aspects of the young and rapidly growing body of research related to XAI. Through the lens of the literature, we review the existing approaches regarding the topic, discuss trends surrounding its sphere, and present major research trajectories.

2,258 citations

Journal ArticleDOI
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as mentioned in this paper provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.

1,656 citations


Authors

Showing all 9122 results

NameH-indexPapersCitations
Abdelouahed Tounsi7945319408
Juan J. Nieto6847918079
Pierre H. Dixneuf6856518922
Jesús Jiménez-Barbero6767318902
Sami Sayadi6538613709
Lars L. Gustafsson6025810473
Hans R. Kricheldorf5782518670
Johnny Henderson473648209
Abdelmoumen Anis Bousahla47844398
André Larbot461946489
Alain Ourry441255596
Christian Rolando411835503
Rabah Khenata414917543
Said Broumi402685465
Cédric Fischmeister401354095
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202239
20211,080
20201,173
2019984
2018853
2017858