11 citations · 16 across the 5 of their papers we have counts for
6 papers
A Domain-Structured Ensemble Framework for Perioperative Outcome Prediction Using Electronic Health Record Data
Shikhar Shukla, Cristina Barboi
Perioperative risk prediction models are often limited by narrow surgical populations, incomplete intraoperative data, poor calibration, and limited interpretability. We present a…
SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection
Shikhar Shukla
Speculative decoding accelerates large language model (LLM) inference by using a small draft model to propose candidate tokens that a larger target model verifies. A critical hyper…
A general-purpose AI assistant embedded in an open-source radiology information system
Saptarshi Purkayastha, Rohan Isaac, Sharon Anthony +4
Radiology AI models have made significant progress in near-human performance or surpassing it. However, AI model's partnership with human radiologist remains an unexplored challeng…
Detecting Hostile Posts using Relational Graph Convolutional Network
Sarthak, Shikhar Shukla, Karm Veer Arya
This work is based on the submission to the competition Hindi Constraint conducted by AAAI@2021 for detection of hostile posts in Hindi on social media platforms. Here, a model is…
EmbPred30: Assessing 30-days Readmission for Diabetic Patients using Categorical Embeddings
Sarthak, Shikhar Shukla, Surya Prakash Tripathi
Hospital readmission is a crucial healthcare quality measure that helps in determining the level of quality of care that a hospital offers to a patient and has proven to be immense…
Spoken Language Identification using ConvNets
Sarthak, Shikhar Shukla, Govind Mittal
Language Identification (LI) is an important first step in several speech processing systems. With a growing number of voice-based assistants, speech LI has emerged as a widely res…