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3,111 to 3,120 of 3,476 Results
Tabular Data - 242.3 MB - 22 Variables, 1345310 Observations - UNF:6:UrOjDuI1TKgnS/J+za81NA==
Lendingclub Dataset, used in case studies 2 and 3
RAR Archive - 1.3 MB - MD5: 37852e60343ad97bd0f7cc6cdd9fef33
Data generated on system's Machine Learning Module and used by the Autonomic Manager's Analyzer at experiments. This dataset contains the architectural configuration metadata and the model metrics
RAR Archive - 8.5 MB - MD5: 485da5c3ad16cfdd4ba612104514c1e6
Data
The compressed file contains a .csv dataset with color features extracted from the images, physicochemical (pH, soluble solids, titratable acidity), and pigment (chlorophyll a and b, anthocyanin, carotenoid) analysis data. It also has a specific .csv dataset of laboratory analysi...
Unknown - 1.6 KB - MD5: e112552d45770aca989e55866fa78474
Files containing the Ground Truth clustering for the datasets with prior knowledge (ALOI, WebKb, Synthetic, and CMUFaces).
Unknown - 1.1 MB - MD5: 4b1913e38c6ca262e3a413e91cbe677b
Normalized datasets (ALOI, WebKb, CMUFaces, Synthetic, and Flower) used in experiments with all algorithms.
Unknown - 608.7 KB - MD5: cc134331131087821262a3660c4735c6
Preprocessed real datasets (ALOI, WebKb, CMUFaces, Synthetic, and Flower), before normalization.
Unknown - 693.4 KB - MD5: 33ce2b2b08e6d04b8b0a4befe2c00a7c
Vontains the source codes of the algorithms proposed in the PhD thesis (CIP-aiNet, rCIP-aiNet, and ITL-aiNet).
Unknown - 2.7 MB - MD5: 337e968785c75044ccd5bb4bbac14cb7
Contains the experimental results. There is a subfolder for each test instance, and within each subfolder, there are 31 files for each algorithm, containing the non-dominated solutions obtained in each of the 31 independent repetitions.
Unknown - 811.4 KB - MD5: 7ceaa530bb1d54bd37095c9342a752d2
Contains the source code for the experimental setup, including the code for the algorithms and the scripts used to generate the figures.
RAR Archive - 1.2 GB - MD5: 58bceed42902d7b1c71f3c2fdd6542f8
Images
The compressed file contains region of interest (ROI) images (256 x 256 px) for each species. Images were captured by a Raspberry Pi Zero W minicomputer (1 GHz Broadcom, BCM2835 processor, 512 MB RAM) equipped with an 8 MP digital camera (Module v2), placed inside a square inspec...
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