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391 to 400 of 3,632 Results

Experimental_data.rar Jan 20, 2026 - Supplementary information for the development of herbal medicine from espinheira-santa (Monteverdia ilicifolia) RAR Archive - 142.9 MB - MD5: c844c176292b2209ee62102204a25b37
3D geological uncertainty dataset and models for proxy-based uncertainty quantification in oil reservoir simulations Jan 20, 2026 Farfan Escobedo, Jeanfranco David; Rocha, Anderson de Rezende; Souza, Gabriel Cirac Mendes, 2026, "3D geological uncertainty dataset and models for proxy-based uncertainty quantification in oil reservoir simulations", https://doi.org/10.25824/redu/BHNWWX, Repositório de Dados de Pesquisa da Unicamp, V1 This dataset supports the doctoral research entitled “Model Uncertainty Quantification to Improve Oil Reservoir Simulations”. It includes numerical reservoir simulation outputs, proxy model predictions, dimensionality-reduced geological representations, reconstructed 3D geologica...
field_s.pdf Jan 20, 2026 - 3D geological uncertainty dataset and models for proxy-based uncertainty quantification in oil reservoir simulations Adobe PDF - 342.5 KB - MD5: e4326ac659b12a28122b51889bc08364 Os dados não podem ser disponibilizados por questões de proteção intelectual. Para mais informações, contatar os responsáveis
Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation Jan 20, 2026 David, Lucas Oliveira; Dias, Zanoni, 2026, "Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation", https://doi.org/10.25824/redu/QQLLR6, Repositório de Dados de Pesquisa da Unicamp, V1 This archive contains complementary data generated during the experiments presented in this thesis. Specifically, it includes: (i) pseudo segmentation masks produced by the P-NOC framework; (ii) pseudo saliency proposals generated by the C²AM-H method; and (iii) segmentation pred...
coco14-640-rs269-csrm-pnoc-cmls-rank3-20-sam-r1.tar.gz Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation Gzip Archive - 435.6 MB - MD5: d5c4383ca86055e6c9ede1b33a933c1a Pseudo segmentation masks generated by CSRM over MS COCO 2014.
coco14-an-640@pnoc-lr0.05-ccamh-ls@rs269ra@rw@crf=1.tar.gz Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation Gzip Archive - 384.8 MB - MD5: 176003fea6cab2ad1e663ca3259da846 Pseudo segmentation masks generated by P-NOC and refined with AffinityNet and C2AM-H over MS COCO 2014.
coco14-d3p-lr0.004-ls0.1@pn-ccamh@rs269pnoc-lr0.05.tar.gz Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation Gzip Archive - 320.3 MB - MD5: 3ed53ecee601de61d903305c5f8cf938 Segmentation proposals generated by DeepLabV3+ trained with pseudo segmentation masks generated by P-NOC over MS COCO 2014.
coco14-pn@ccamh-rs269-fg0.2@rs269pnoc-ls0.1-023.tar.gz Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation Gzip Archive - 3.4 GB - MD5: 9c538a1320c70af2d5bb6466aa23838b Pseudo saliency masks generated by C2AM-H over MS COCO 2014.
voc12-512-d3p_rs269-ls-lr0.007-b16-normal-cj-pnoc-rals-r4-ccamh-rw@crf=10.tar.gz Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation Gzip Archive - 2.5 MB - MD5: 3c2ff4e2faa77f42a1e15b95fa5ab6b9 Segmentation proposals generated by DeepLabV3+ trained with pseudo segmentation masks generated by P-NOC over Pascal VOC 2012.
voc12-512-rs101-csrm-lr0.007-m0.9-b32-cm-default-bg0.05-fg0.30-u1-c1-rank3-6-hemfl@rs101p-r1.zip Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation ZIP Archive - 18.6 MB - MD5: 513d9330ae0f13eb8d2ae4b36b26ab7c Pseudo segmentation masks generated by CSRM over Pascal VOC 2012.

Experimental_data.rar

Jan 20, 2026 - Supplementary information for the development of herbal medicine from espinheira-santa (Monteverdia ilicifolia)

RAR Archive - 142.9 MB -

3D geological uncertainty dataset and models for proxy-based uncertainty quantification in oil reservoir simulations

Jan 20, 2026

Farfan Escobedo, Jeanfranco David; Rocha, Anderson de Rezende; Souza, Gabriel Cirac Mendes, 2026, "3D geological uncertainty dataset and models for proxy-based uncertainty quantification in oil reservoir simulations", https://doi.org/10.25824/redu/BHNWWX, Repositório de Dados de Pesquisa da Unicamp, V1

This dataset supports the doctoral research entitled “Model Uncertainty Quantification to Improve Oil Reservoir Simulations”. It includes numerical reservoir simulation outputs, proxy model predictions, dimensionality-reduced geological representations, reconstructed 3D geologica...

field_s.pdf

Jan 20, 2026 - 3D geological uncertainty dataset and models for proxy-based uncertainty quantification in oil reservoir simulations

Adobe PDF - 342.5 KB -

Os dados não podem ser disponibilizados por questões de proteção intelectual. Para mais informações, contatar os responsáveis

Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation

Jan 20, 2026

David, Lucas Oliveira; Dias, Zanoni, 2026, "Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation", https://doi.org/10.25824/redu/QQLLR6, Repositório de Dados de Pesquisa da Unicamp, V1

This archive contains complementary data generated during the experiments presented in this thesis. Specifically, it includes: (i) pseudo segmentation masks produced by the P-NOC framework; (ii) pseudo saliency proposals generated by the C²AM-H method; and (iii) segmentation pred...

coco14-640-rs269-csrm-pnoc-cmls-rank3-20-sam-r1.tar.gz

Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation

Gzip Archive - 435.6 MB -

Pseudo segmentation masks generated by CSRM over MS COCO 2014.

coco14-an-640@pnoc-lr0.05-ccamh-ls@rs269ra@rw@crf=1.tar.gz

Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation

Gzip Archive - 384.8 MB -

Pseudo segmentation masks generated by P-NOC and refined with AffinityNet and C2AM-H over MS COCO 2014.

coco14-d3p-lr0.004-ls0.1@pn-ccamh@rs269pnoc-lr0.05.tar.gz

Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation

Gzip Archive - 320.3 MB -

Segmentation proposals generated by DeepLabV3+ trained with pseudo segmentation masks generated by P-NOC over MS COCO 2014.

coco14-pn@ccamh-rs269-fg0.2@rs269pnoc-ls0.1-023.tar.gz

Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation

Gzip Archive - 3.4 GB -

Pseudo saliency masks generated by C2AM-H over MS COCO 2014.

voc12-512-d3p_rs269-ls-lr0.007-b16-normal-cj-pnoc-rals-r4-ccamh-rw@crf=10.tar.gz

Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation

Gzip Archive - 2.5 MB -

Segmentation proposals generated by DeepLabV3+ trained with pseudo segmentation masks generated by P-NOC over Pascal VOC 2012.

voc12-512-rs101-csrm-lr0.007-m0.9-b32-cm-default-bg0.05-fg0.30-u1-c1-rank3-6-hemfl@rs101p-r1.zip

Jan 20, 2026 - Data for exploring explainable AI, contrastive and adversarial methods for weakly supervised semantic segmentation

ZIP Archive - 18.6 MB -

Pseudo segmentation masks generated by CSRM over Pascal VOC 2012.

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