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Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization
We introduce a family of fairness enhancing regularization components that we use in conjunction with the traditional binary-cross-entropy based accuracy loss.
SimsterQ: A Similarity based Clustering Approach to Opinion Question Answering
Our system returned answers similar to the review snippets from the Amazon QA Dataset as measured by the cosine similarity.
Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction
However, centralized systems are not scalable and fail provide real-time feedback to the system whereas in a decentralized scheme, each node is responsible to predict its own short-term congestion based on the local current measurements in neighboring nodes.
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