AI REDGIO 5.0 Collaborative Intelligence Platform - Revision history

Admino739mjm7 at 14:55, 7 October 2025

2025-10-07T14:55:29Z

← Older revision		Revision as of 14:55, 7 October 2025
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	<strong>Facilitating Human-AI collaboration through cutting-edge AI capabilities</strong> [[File:Step 1.png		<strong>Facilitating Human-AI collaboration through cutting-edge AI capabilities</strong> [[File:Step 1.png\|thumb\|right\|Image 1: The AI REDGIO 5.0 Collaborative Intelligence Platform]]
	\|thumb\|right\|Image 1: The AI REDGIO 5.0 Collaborative Intelligence Platform]]

	== Asset Description ==		== Asset Description ==

Admino739mjm7 at 14:54, 7 October 2025

2025-10-07T14:54:23Z

← Older revision		Revision as of 14:54, 7 October 2025
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	<strong>Facilitating Human-AI collaboration through cutting-edge AI capabilities</strong> [[File:~~Ci platform~~ 1.png\|thumb\|right\|Image 1: The AI REDGIO 5.0 Collaborative Intelligence Platform]]		<strong>Facilitating Human-AI collaboration through cutting-edge AI capabilities</strong> [[File:Step 1.png
			\|thumb\|right\|Image 1: The AI REDGIO 5.0 Collaborative Intelligence Platform]]

	== Asset Description ==		== Asset Description ==

Admino739mjm7: /* Collaborative Intelligence Component */

2025-10-07T14:43:13Z

Collaborative Intelligence Component

← Older revision		Revision as of 14:43, 7 October 2025
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	<strong>1. Entering the C.I Platform</strong>		<strong>1. Entering the C.I Platform</strong>
	* Navigate to the url https://github.com/AI-REDGIO-5-0/ci-~~componentt~~		* Navigate to the url https://github.com/AI-REDGIO-5-0/ci-component
	* Enter your credentials ''(Note: User registration and account creation is managed by [https://www.scch.at/ Software Competence Centre Hagenberg - SCCH])		* Enter your credentials ''(Note: User registration and account creation is managed by [https://www.scch.at/ Software Competence Centre Hagenberg - SCCH])

Admino739mjm7: /* Collaborative Intelligence Component */

2024-09-02T09:40:50Z

Collaborative Intelligence Component

← Older revision		Revision as of 09:40, 2 September 2024
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	<strong>1. Entering the C.I Platform</strong>		<strong>1. Entering the C.I Platform</strong>
	* Navigate to the url https://github.com/~~jorge~~-~~martinez~~-~~gil~~/ci-~~component~~		* Navigate to the url https://github.com/AI-REDGIO-5-0/ci-componentt
	* Enter your credentials ''(Note: User registration and account creation is managed by [https://www.scch.at/ Software Competence Centre Hagenberg - SCCH])		* Enter your credentials ''(Note: User registration and account creation is managed by [https://www.scch.at/ Software Competence Centre Hagenberg - SCCH])

Admino739mjm7: /* Resources */

2024-09-02T09:34:40Z

Resources

← Older revision		Revision as of 09:34, 2 September 2024
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	== Resources ==		== Resources ==
	<ul>		<ul>
	<li>Code available in [https://github.com/~~jorge~~-~~martinez~~-~~gil~~/ci-component/ Github]</li>		<li>Code available in [https://github.com/AI-REDGIO-5-0/ci-component Github]</li>
	<li>Created by [https://www.scch.at/ Software Competence Center Hagenberg - SCCH]</li>		<li>Created by [https://www.scch.at/ Software Competence Center Hagenberg - SCCH]</li>
	<li>Contact ''jorge.martinez-gil@scch.at''</li>		<li>Contact ''jorge.martinez-gil@scch.at''</li>

Admino739mjm7: /* Collaborative Intelligence Component */

2024-06-18T13:33:25Z

Collaborative Intelligence Component

← Older revision		Revision as of 13:33, 18 June 2024
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	<strong>1. Entering the C.I Platform</strong>		<strong>1. Entering the C.I Platform</strong>
	* Navigate to the url https://~~www.~~github.com/		* Navigate to the url https://github.com/jorge-martinez-gil/ci-component
	* Enter your credentials ''(Note: User registration and account creation is managed by [https://www.scch.at/ Software Competence Centre Hagenberg - SCCH])		* Enter your credentials ''(Note: User registration and account creation is managed by [https://www.scch.at/ Software Competence Centre Hagenberg - SCCH])

Admino739mjm7: /* How it works */

2024-02-22T13:28:47Z

How it works

Admino739mjm7: /* Resources */

2024-01-30T16:12:37Z

Resources

← Older revision		Revision as of 16:12, 30 January 2024
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	<ul>		<ul>
	<li>Code available in [https://github.com/jorge-martinez-gil/ci-component/ Github]</li>		<li>Code available in [https://github.com/jorge-martinez-gil/ci-component/ Github]</li>
	<li>Created by [https://www.scch.at/ Software Competence ~~Centre~~ Hagenberg - SCCH]</li>		<li>Created by [https://www.scch.at/ Software Competence Center Hagenberg - SCCH]</li>
	<li>Contact ''jorge.martinez-gil@scch.at''</li>		<li>Contact ''jorge.martinez-gil@scch.at''</li>
	</ul>		</ul>

Admino739mjm7: /* How it works */

2024-01-29T10:51:56Z

How it works

← Older revision		Revision as of 10:51, 29 January 2024
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	After clicking on the hyperlink, you are led to the Input Analysis tool. Through the integration with the C.I Platform, the onboarded input data are available there in order to perform your exploration.		After clicking on the hyperlink, you are led to the Input Analysis tool. Through the integration with the C.I Platform, the onboarded input data are available there in order to perform your exploration.

	* ''Select Input Analysis aspects~~'''~~: Through the Input Analysis tool you can select the analysis aspects, including the pairs of columns to compare, the missing value imputation method, the numeric conversion method. Additionally, you can set the thresholds for the analysis (Pearson correlation, Spearman rank correlation, Euclidean similarity)		* Select Input Analysis aspects: Through the Input Analysis tool you can select the analysis aspects, including the pairs of columns to compare, the missing value imputation method, the numeric conversion method. Additionally, you can set the thresholds for the analysis (Pearson correlation, Spearman rank correlation, Euclidean similarity)
	<br>		<br>
	[[File:Input analysis 001.png\|center\|x300px\|Image Caption]]		[[File:Input analysis 001.png\|center\|x300px\|Image Caption]]
	<div align="center" style="font-size:88%;line-height: 2em">''Image 8: Selection of input analysis aspects''</div>		<div align="center" style="font-size:88%;line-height: 2em">''Image 8: Selection of input analysis aspects''</div>
	<br>		<br>
	* ~~'''~~Review the analysis results~~'''~~: In the provided graphs you can see the visualised results of the analysis.		* Review the analysis results: In the provided graphs you can see the visualised results of the analysis.
	<br>		<br>
	[[File:Input analysis 002.png\|center\|x300px\|Image Caption]]		[[File:Input analysis 002.png\|center\|x300px\|Image Caption]]

Admino739mjm7 at 10:40, 29 January 2024

2024-01-29T10:40:25Z

← Older revision		Revision as of 10:40, 29 January 2024
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	=== Interplay with Input Analysis Tool===		=== Interplay with Input Analysis Tool===
			<p style="line-height: 1.5em">
	To further assist the data scientists and other users in making sense of their data, thus enhancing human-AI collaboration, the AI REDGIO 5.0 Collaborative Intelligence Platform works in tandem with the Input Analysis tool.		To further assist the data scientists and other users in making sense of their data, thus enhancing human-AI collaboration, the AI REDGIO 5.0 Collaborative Intelligence Platform works in tandem with the Input Analysis tool.
			</p>
	==== How it works====		==== How it works====
	<p style="line-height: 1.5em">		<p style="line-height: 1.5em">
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	<strong>2. Perform input analysis</strong>		<strong>2. Perform input analysis</strong>

	After clicking on the hyperlink, ~~ypu~~ are led to the Input Analysis tool. Through the integration with the C.I Platform, the onboarded input data are available there in order to perform your exploration.		After clicking on the hyperlink, you are led to the Input Analysis tool. Through the integration with the C.I Platform, the onboarded input data are available there in order to perform your exploration.

	* ''Select Input Analysis aspects''': Through the Input Analysis tool you can select the analysis aspects, including the pairs of columns to compare, the missing value imputation method, the numeric conversion method. Additionally, you can set the thresholds for the analysis (Pearson correlation, Spearman rank correlation, Euclidean similarity)		* ''Select Input Analysis aspects''': Through the Input Analysis tool you can select the analysis aspects, including the pairs of columns to compare, the missing value imputation method, the numeric conversion method. Additionally, you can set the thresholds for the analysis (Pearson correlation, Spearman rank correlation, Euclidean similarity)

← Older revision		Revision as of 13:28, 22 February 2024
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	==== How it works====		==== How it works====
	<p style="line-height: 1.5em">		<p style="line-height: 1.5em">
	The human operator can explore through the ~~Input~~ Analysis ~~tool~~ their data and perform input analysis based on user-selected aspects and thresholds to find correlations between features.		The human operator can explore through the [https://wiki.ai-redgio50.s5labs.eu/index.php?title=Data_Analysis_Dashboard Data Analysis Dashboard] their data and perform input analysis based on user-selected aspects and thresholds to find correlations between features.
	<br>		<br>
	</p>		</p>

	<strong>1. Upload input data to C.I Dashboard and navigate to the ~~Input~~ Analysis ~~tool~~ </strong>		<strong>1. Upload input data to C.I Dashboard and navigate to the Data Analysis Dashboard </strong>
	* Go to the main Dashboard page of the C.I Dashboard		* Go to the main Dashboard page of the C.I Dashboard
	* Click 'Choose file' and select the input data file from the directory		* Click 'Choose file' and select the input data file from the directory
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	<br>		<br>
	[[File:Step 1.png\|center\|x300px\|Image Caption]]		[[File:Step 1.png\|center\|x300px\|Image Caption]]
	<div align="center" style="font-size:88%;line-height: 2em">''Image 7: Link to ~~Input~~ Analysis ~~tool~~ from C.I Dashboard''</div>		<div align="center" style="font-size:88%;line-height: 2em">''Image 7: Link to Data Analysis Dashboard from C.I Dashboard''</div>
	<br>		<br>

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	<strong>2. Perform input analysis</strong>		<strong>2. Perform input analysis</strong>

	After clicking on the hyperlink, you are led to the ~~Input~~ Analysis ~~tool~~. Through the integration with the C.I Platform, the onboarded input data are available there in order to perform your exploration.		After clicking on the hyperlink, you are led to the Data Analysis Dashboard. Through the integration with the C.I Platform, the onboarded input data are available there in order to perform your exploration.

	* Select ~~Input~~ Analysis aspects: Through the ~~Input~~ Analysis ~~tool~~ you can select the analysis aspects, including the pairs of columns to compare, the missing value imputation method, the numeric conversion method. Additionally, you can set the thresholds for the analysis (Pearson correlation, Spearman rank correlation, Euclidean similarity)		* Select Data Analysis aspects: Through the Data Analysis Dashboard you can select the analysis aspects, including the pairs of columns to compare, the missing value imputation method, the numeric conversion method. Additionally, you can set the thresholds for the analysis (Pearson correlation, Spearman rank correlation, Euclidean similarity)
	<br>		<br>
	[[File:Input analysis 001.png\|center\|x300px\|Image Caption]]		[[File:Input analysis 001.png\|center\|x300px\|Image Caption]]
	<div align="center" style="font-size:88%;line-height: 2em">''Image 8: Selection of ~~input~~ analysis aspects''</div>		<div align="center" style="font-size:88%;line-height: 2em">''Image 8: Selection of data analysis aspects''</div>
	<br>		<br>
	* Review the analysis results: In the provided graphs you can see the visualised results of the analysis.		* Review the analysis results: In the provided graphs you can see the visualised results of the analysis.