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Centro de Investigação Algoritmi (University of Minho)
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Centro ALGORITMI is a research unit of the School of Engineering – University of Minho, that develops R&D activity in Information and Communications Technology and Electronics.

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91 to 100 of 191 Results
OGDLens - Validation data
Feb 28, 2023
Santos, Cláudia; Andrade, Morgana; Baptista, Ana Alice, 2023, "OGDLens - Validation data", https://doi.org/10.34622/datarepositorium/F88MVD, Repositório de Dados da Universidade do Minho, V1
OGDLens - Validation Data
00_readme.txt
Plain Text - 2.3 KB - MD5: 563998273c6822dd20f0135471050eb9
OGDLens_validation.xlsx
MS Excel Spreadsheet - 78.2 KB - MD5: 92ce9b1d47a027f341ecb96e5796d0d0
Use of Open Government Data in the Brazilian States and Federal District Public Administrations
Dec 19, 2022
Kawashita, Ilka; Baptista, Ana Alice; Soares, Delfina Sá, 2022, "Use of Open Government Data in the Brazilian States and Federal District Public Administrations", https://doi.org/10.34622/datarepositorium/UY7MFA, Repositório de Dados da Universidade do Minho, V2, UNF:6:zmDwdTT7q++DhZWZaxMfQA== [fileUNF]
Each row of the dataset lists the responses to a questionnaire about the use (consumption) of open government data (OGD) in the Brazilian states and federal district public administrations. The questionnaire was applied between June 10 and July 9, 2021, in a sample of focal point...
AboutInterviewsExtracts_OGDUseBR_StatesDF.tab
Tab-Delimited - 3.0 KB - MD5: 26cf7f45b767515da063f020149e62ce
Metadata on the interviews extracts about OGD use
InterviewsExtracts_OGDUseBR_StatesDF_Dataset.tab
Tab-Delimited - 56.7 KB - MD5: cc32e067943e5f3ba38d6eb73cd86ac8
Extract of interviews about OGD use with Brazilian States and Federal District
MoLa InVicon AR: Dataset for Action Recognition
Jun 14, 2022
R. P. Rodrigues, Nelson; M. C. da Costa, Nuno; Novais, Rita; Fonseca, Jaime; University of Minho; Borges, Joao, 2022, "MoLa InVicon AR: Dataset for Action Recognition", https://doi.org/10.34622/datarepositorium/WWUTUT, Repositório de Dados da Universidade do Minho, V2
This system is then spatially and temporally calibrated with the camera sensor, automatically obtaining image data with (multi-person) pose annotations (2D and 3D). Finally, we demonstrate the feasibility of using the system’s generated data (which was made publicly available), t...
INVICON.zip.001
Unknown - 1000.0 MB - MD5: 2cbe52e4430f6e0f17199cecaea1f057
INVICON.zip.002
Unknown - 1000.0 MB - MD5: b526f297b0da9d6ee9d051b515c93833
INVICON.zip.003
Unknown - 1000.0 MB - MD5: e41aec42f418bde0a04bfbe18c2701aa
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