Shashank Yadav

According to our database, Shashank Yadav authored at least 20 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Graph-spa: A Spatiotemporal Graph Neural Network based framework for ARDS prediction and interpretability.

Shashank Yadav, Molly Douglas, Jarrod Mosier, Vignesh Subbian

J. Biomed. Informatics, 2026

2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor

CoRR, October, 2025

Failure Modes of Time Series Interpretability Algorithms for Critical Care Applications and Potential Solutions.

Shashank Yadav, Vignesh Subbian

CoRR, June, 2025

Social botnets and the challenges of cyber situation awareness.

Shashank Yadav

AI Ethics, June, 2025

Situating Power in Cyber Threat Knowledge.

Shashank Yadav, Sundeep Oberoi

Digit. Soc., April, 2025

PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping.

Sarah Pungitore, Shashank Yadav, Vignesh Subbian

CoRR, March, 2025

graphB3 - an interpretable graph learning approach for predicting blood-brain barrier permeability.

Sumit Kumar, Shashank Yadav, Dhvani Sandip Vora, Prateek Paul, Jaspreet Kaur Dhanjal

Briefings Bioinform., 2025

Monte Carlo ExtremalMask: Uncertainty Aware Time Series Model Interpretability For Critical Care Applications.

Shashank Yadav, Vignesh Subbian

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

When Attention Fails: Pitfalls of Attention-based Model Interpretability for High-dimensional Clinical Time-Series.

Shashank Yadav, Vignesh Subbian

Proceedings of the Conference on Health, 2025

2024

Gamified crowd-sourcing of high-quality data for visual fine-tuning.

Shashank Yadav, Rohan Tomar, Garvit Jain, Chirag Ahooja, Shubham Chaudhary, Charles Elkan

CoRR, 2024

An Efficient Approach for Potato Leaf Disease Classification Using Cascaded CNN-Transformers.

Abhishek Bajpai, Shalinee Sahu, Naveen Tiwari, Vivek Srivastava, Shashank Yadav

Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

2023

Sensor Injection Based Routing Protocol for Effective Load Balancing in Underwater Wireless Sensor Networks.

Poonam Yadav, Shashank Yadav, Ashutosh Srivastava, Sachin Kumar Gupta, Radha Raman Chandan, Bireshwar Dass Mazumdar, Nitin Goyal

Wirel. Pers. Commun., November, 2023

Socialbots and the Challenges of Cyberspace Awareness.

Shashank Yadav

CoRR, 2023

Tomato Leaf Disease Detection using Enhanced Weight Assignment Based Loss Calculation Method.

Shashank Yadav, Anand Shanker Tewari, Abhineet Verma

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

A Novel Power-Efficient Data Aggregation Scheme for Cloud-Based Sensor Networks.

Abhishek Bajpai, Shashank Yadav, Naveen Tiwari, Anita Yadav, Mansi Chaurasia

Int. J. Mob. Comput. Multim. Commun., 2022

Political Propagation of Social Botnets: Policy Consequences.

Shashank Yadav

CoRR, 2022

2021

Machines and Influence.

Shashank Yadav

CoRR, 2021

2019

Structuring an unordered text document.

Shashank Yadav, Tejas Shimpi, C. Ravindranath Chowdary, Prashant Sharma, Deepansh Agrawal, Shivang Agarwal

CoRR, 2019

2018

A Joint 3D-2D Based Method for Free Space Detection on Roads.

Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Subhashis Banerjee, Chetan Arora

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Deep CNN with color lines model for unmarked road segmentation.

Shashank Yadav, Suvam Patra, Chetan Arora, Subhashis Banerjee

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017