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Gender bias exists in natural language datasets which neural language models tend to learn, resulting in biased text generation. In this research, we propose a debiasing approach based on the loss… Continue Reading
Broad spectrum of urban activities including mobility can be modeled as temporal networks evolving over time. Abrupt changes in urban dynamics caused by events such as disruption of civic operations,… Continue Reading
Modelling infectious disease outbreak requires extensive understanding of disease characteristics and outbreak dynamics. Predicting future trends of the disease is required for health officials to… Continue Reading
Unsupervised anomaly detection from high dimensional data like mobility networks is a challenging task. Study of different approaches of feature engineering from such high dimensional data have been… Continue Reading