19 citations · 21 across the 4 of their papers we have counts for
4 papers
Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter
Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari +4
Understanding predictions made by Machine Learning models is critical in many applications. In this work, we investigate the performance of two methods for explaining tree-based mo…
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
Pulkit Sharma, Farah E Shamout, David A Clifton
Machine learning models can be used for pattern recognition in medical data in order to improve patient outcomes, such as the prediction of in-hospital mortality. Deep learning mod…
Conv-codes: Audio Hashing For Bird Species Classification
Anshul Thakur, Pulkit Sharma, Vinayak Abrol +1
In this work, we propose a supervised, convex representation based audio hashing framework for bird species classification. The proposed framework utilizes archetypal analysis, a m…
Making sense of randomness: an approach for fast recovery of compressively sensed signals
V. Abrol, P. Sharma, A. K Sao
In compressed sensing (CS) framework, a signal is sampled below Nyquist rate, and the acquired compressed samples are generally random in nature. However, for efficient estimation…