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Found 6 papers, 1 papers with code
Rawlsian Fair Adaptation of Deep Learning Classifiers
Given any score function or feature representation and only its second-order statistics on the sensitive sub-populations, we seek a threshold classifier on the given score or a linear threshold classifier on the given feature representation that achieves the Rawls error rate restricted to this hypothesis class.
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems
This work proposes a supervised multi-channel time-series learning framework for financial stock trading.
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework
This work proposes an unsupervised fusion framework based on deep convolutional transform learning.
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis
This work addresses the problem of analyzing multi-channel time series data %.
Quality Estimation Of Machine Translation Outputs Through Stemming
Machine Translation is the challenging problem for Indian languages.
Automatic Ranking of MT Outputs using Approximations
In this paper, we show an approach which can provide automatic ranks to MT outputs (translations) taken from different MT Engines and which is based on N-gram approximations.
