30 citations · 52 across the 11 of their papers we have counts for
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cs.LG2019
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification
Arjun Pakrashi, Brian Mac Namee
Multi-label classification is an approach which allows a datapoint to be labelled with more than one class at the same time. A common but trivial approach is to train individual bi…
cs.LG2019★ 1 cited
ML-KFHE: Multi-label ensemble classification algorithm exploiting sensor fusion properties of the Kalman filter
Arjun Pakrashi, Brian Mac Namee
Despite the success of ensemble classification methods in multi-class classification problems, ensemble methods based on approaches other than bagging have not been widely explored…
cs.LG2019★ 30 cited
A Kalman filtering induced heuristic optimization based partitional data clustering
Arjun Pakrashi, Bidyut B. Chaudhuri
Clustering algorithms have regained momentum with recent popularity of data mining and knowledge discovery approaches. To obtain good clustering in reasonable amount of time, vario…