Accompanying poster to the main track paper "Detecting Quality Problems in Research Data: A Model-Driven Approach" presented at "ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS '20)"
Reliable empirical models such as those used in software effort estimation or defect prediction are ...
This repository contains the material, the data and the analysis related to the study entitled "Unde...
Context: - Machine learning is a part of artificial intelligence, this area is now continuously grow...
Accompanying poster to the main track paper "Detecting Quality Problems in Research Data: A Model-Dr...
This paper is an extended version of a paper to be published in "ACM/IEEE 23rd International Confere...
Accompanying presentation to the main track paper "Detecting Quality Problems in Research Data: A Mo...
This presentation presents a catalog of quality problems in research data that are focussed on mater...
This paper is an extended version of a paper to be published in "MoDELS '21: ACM/IEEE 24th Internati...
This catalog describes quality problems in research data focusing on material cultural objects and r...
Replication Package for the "Impact of Data Quality for Automatic Issue Classification Using Pre-tra...
Dealing with data quality related problems is an important issue that all organizations face in real...
Today, data availability has gone from scarce to superabundant. Technologies like IoT, trends in soc...
The document summarizes the list of defects identified in the: (1) literature analysis, identifying ...
Regardless of the field of study, sharing data is one of the most fundamental aspects of maintaining...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Reliable empirical models such as those used in software effort estimation or defect prediction are ...
This repository contains the material, the data and the analysis related to the study entitled "Unde...
Context: - Machine learning is a part of artificial intelligence, this area is now continuously grow...
Accompanying poster to the main track paper "Detecting Quality Problems in Research Data: A Model-Dr...
This paper is an extended version of a paper to be published in "ACM/IEEE 23rd International Confere...
Accompanying presentation to the main track paper "Detecting Quality Problems in Research Data: A Mo...
This presentation presents a catalog of quality problems in research data that are focussed on mater...
This paper is an extended version of a paper to be published in "MoDELS '21: ACM/IEEE 24th Internati...
This catalog describes quality problems in research data focusing on material cultural objects and r...
Replication Package for the "Impact of Data Quality for Automatic Issue Classification Using Pre-tra...
Dealing with data quality related problems is an important issue that all organizations face in real...
Today, data availability has gone from scarce to superabundant. Technologies like IoT, trends in soc...
The document summarizes the list of defects identified in the: (1) literature analysis, identifying ...
Regardless of the field of study, sharing data is one of the most fundamental aspects of maintaining...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Reliable empirical models such as those used in software effort estimation or defect prediction are ...
This repository contains the material, the data and the analysis related to the study entitled "Unde...
Context: - Machine learning is a part of artificial intelligence, this area is now continuously grow...
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