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2017 IEEE 25th International Requirements Engineering Conference (RE), 2017
Developing new ideas and algorithms or comparing new findings in the field of requirements engineering and management implies a dataset to work with. Collecting the required data is time consuming, tedious, and may involve unforeseen difficulties. The need for datasets often forces re-searchers to collect data themselves in order to evaluate their ...
Michael Rath 0002 +2 more
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Developing new ideas and algorithms or comparing new findings in the field of requirements engineering and management implies a dataset to work with. Collecting the required data is time consuming, tedious, and may involve unforeseen difficulties. The need for datasets often forces re-searchers to collect data themselves in order to evaluate their ...
Michael Rath 0002 +2 more
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2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
The objective of the ESA DUE CoastColour project is to fully exploit the potential of the MERIS instrument for remote sensing of the coastal zone. The product requirements have been derived from a user consultation process. Users have provided in-situ data from many locations, which were used for algorithm development and validation.
Carsten Brockmann +6 more
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The objective of the ESA DUE CoastColour project is to fully exploit the potential of the MERIS instrument for remote sensing of the coastal zone. The product requirements have been derived from a user consultation process. Users have provided in-situ data from many locations, which were used for algorithm development and validation.
Carsten Brockmann +6 more
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2023
Datasets lie at the heart of empirical research as they provide the necessary testing ground to explore new hypotheses and firmly link ideas to reality. This chapter focuses on a specific subset of datasets, namely the historical datasets and details their features.
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Datasets lie at the heart of empirical research as they provide the necessary testing ground to explore new hypotheses and firmly link ideas to reality. This chapter focuses on a specific subset of datasets, namely the historical datasets and details their features.
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Proceedings of the Australasian Computer Science Week Multiconference, 2016
In order to facilitate research based on datasets in empirical software engineering, the meaning of data must be able to be interpreted correctly. Datasets contain measurements that are associated with metrics and entities. In some datasets, it is not always clear which entities have been measured and exactly which metrics have been used.
Marshima Mohd Rosli +2 more
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In order to facilitate research based on datasets in empirical software engineering, the meaning of data must be able to be interpreted correctly. Datasets contain measurements that are associated with metrics and entities. In some datasets, it is not always clear which entities have been measured and exactly which metrics have been used.
Marshima Mohd Rosli +2 more
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Advances in Neural Information Processing Systems 36, 2023
Adarsh Pyarelal +14 more
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Adarsh Pyarelal +14 more
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Evaluation of Dataset Metamodel for Describing the Structure of Datasets
2018Datasets basically contains data and metadata. Data are often misinterpreted due to insufficient metadata and gives rise to quality issues associated with the datasets such as failure to clearly identify the entity being measured and inability to clarify how the metrics were generated.
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Datasets for Dental Imaging AI - Dataset
Repository of the research data for Datasets for AI in dental ...Sohrabniya, Fatemeh +7 more
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Analysis of Dataset balancing Techniques for Phishing Dataset
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023Sharvari Patil, Narendra M. Shekokar
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