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Data enrichment in fine-grained classification of aquatic macroinvertebrates
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The types and numbers of benthic macroinverte-brates found in a water body reflect water quality. Therefore, macroinvertebrates are routinely monitored as a part of freshwater ecological quality assessment. The collected ...
An optimized k-NN approach for classification on imbalanced datasets with missing data
(
Springer Verlag
, 2016 , Conference Paper)
In this paper, we describe our solution for the machine learning prediction challenge in IDA 2016. For the given problem of 2-class classification on an imbalanced dataset with missing data, we first develop an imputation ...
Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Aquatic macroinvertebrate biomonitoring is an efficient way of assessment of slow and subtle anthropogenic changes and their effect on water quality. It is imperative to have reliable identification and counts of the various ...