Supplemental material for the paper. Download link coming soon.
The names of the datsets, within the names of the result files, follow a convention that is not used in the paper. Please, refer to explist.py
to convert the names.
Info | Details |
---|---|
Paper status | to be submitted |
Download link | coming soon |
DOI | coming soon |
URL | coming soon |
In this paper, we introduce one new dataset, Insects v2 (data/InsectsPUQ.csv
).
Class labels and features were obfuscated. The positive class (Aedes aegypti) has label 2.
We are still arranging a citation format for this dataset. If you are interest in using it, please, contact us so we can provide a proper way of citing us. Until we arrange a standard way of citing us, please, do not publish this dataset or results obtained with it without contacting us, first.
We made use of several other datasets. We list all of them bellow, with proper links to ther sources.
- Insects
- Spoken Arabic Digit (please, note that we pre-processed this dataset. Our version is included in this repository:
data/Arabic.csv
) - Anuran Calls
- Pen Based Recognition of Handwritten Digits
- HTRU2
- Wine Quality
- BNG Japanese Vowels (only the coefficients were used as features)
- Letter
- Handwritten (included in this repository:
data/Handwritten.csv
)