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Publication Year: 2024

521 to 530 of 12,889 Results

PersonalGrowthPractices.txt Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review" Plain Text - 1.2 KB - MD5: 4a7b2cffddf31c14b2f756a34cae8588 Plain text of Practices
SelectedStudies.csv Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review" Comma Separated Values - 3.5 KB - MD5: c28ffb8a1f9c36813e80128df66c56d2 Primary Studies Selected
SnapShot.csv Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review" Comma Separated Values - 1.7 MB - MD5: 94f9c501501d217b7d0645473d51125a Studies returned after searching query
SocialDevelopmentPractices.txt Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review" Plain Text - 1.3 KB - MD5: 65977e399338ce4d1d3fba62d4134b35 Plain text of Practices
SocialJusticePractices.txt Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review" Plain Text - 3.0 KB - MD5: f068cc086466bf4d875a6dfb4004f773 Plain text of Practices
SocialSustainabilityMapping.pdf Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review" Adobe PDF - 51.7 KB - MD5: 40aaaa51c80d456c20200678764dd33c Figure for Social Sustainability Mapping
SupportTools.csv Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review" Comma Separated Values - 921 B - MD5: c3f860c7ee73b7f55154cfd050b87851 Support Tools selected from the primary studies
Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology Nov 6, 2024 - University of Oslo Tomar, Dhananjay, 2024, "Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology", https://doi.org/10.18710/NXPLFL, DataverseNO, V1 This dataset is a processed version of the CAMELYON17 dataset used in the NeurIPS 2024 paper "Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology". It consists of patches / tiles from 50 Whole Slide Images (WSIs) (10 WSIs from each of the 5 hospitals) in the CAMELYON17 d...
00_README.txt Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology Plain Text - 5.6 KB - MD5: 566f57729ce97e88c3020c473865769d README file
metadata.csv Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology Comma Separated Values - 29.1 MB - MD5: b144dd3e8fac32f26d9e585958c7b25d Metadata info for the files inside the tar file. Metadata has columns patient,node,x_coord,y_coord,tumor,slide,center,split Each row starts with index of the row followed by data for the columns listed above. Column "tumor" refers to whether the patch/tile has tumor or not. "split" is "0" for trainnig and "1" for validation dataset split. "center"...

PersonalGrowthPractices.txt

Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review"

Plain Text - 1.2 KB -

Plain text of Practices

SelectedStudies.csv

Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review"

Comma Separated Values - 3.5 KB -

Primary Studies Selected

SnapShot.csv

Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review"

Comma Separated Values - 1.7 MB -

Studies returned after searching query

SocialDevelopmentPractices.txt

Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review"

Plain Text - 1.3 KB -

Plain text of Practices

SocialJusticePractices.txt

Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review"

Plain Text - 3.0 KB -

Plain text of Practices

SocialSustainabilityMapping.pdf

Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review"

Adobe PDF - 51.7 KB -

Figure for Social Sustainability Mapping

SupportTools.csv

Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review"

Comma Separated Values - 921 B -

Support Tools selected from the primary studies

Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology

Nov 6, 2024 - University of Oslo

Tomar, Dhananjay, 2024, "Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology", https://doi.org/10.18710/NXPLFL, DataverseNO, V1

This dataset is a processed version of the CAMELYON17 dataset used in the NeurIPS 2024 paper "Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology". It consists of patches / tiles from 50 Whole Slide Images (WSIs) (10 WSIs from each of the 5 hospitals) in the CAMELYON17 d...

00_README.txt

Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology

Plain Text - 5.6 KB -

README file

metadata.csv

Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology

Comma Separated Values - 29.1 MB -

Metadata info for the files inside the tar file. Metadata has columns patient,node,x_coord,y_coord,tumor,slide,center,split Each row starts with index of the row followed by data for the columns listed above. Column "tumor" refers to whether the patch/tile has tumor or not. "split" is "0" for trainnig and "1" for validation dataset split. "center"...

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