We explore efficient optimization of toolpaths based on multiple criteri...
We propose Enhash, a fast ensemble learner that detects concept
drift in...
kNN is a very effective Instance based learning method, and it is easy t...
We present a new way of constructing an ensemble classifier, named the G...
We develop a framework that creates a new polygonal mesh representation ...
Parallel deep learning architectures like fine-tuned BERT and MT-DNN, ha...
We propose an Euler transformation that transforms a given d-dimensional...