Vaibhav Krishna

According to our database, Vaibhav Krishna authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering.

Vaibhav Krishna, Nino Antulov-Fantulin

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

2022

Question routing via activity-weighted modularity-enhanced factorization.

Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin

Soc. Netw. Anal. Min., 2022

Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion.

Vaibhav Krishna, Nino Antulov-Fantulin

CoRR, 2022

Topic Community Based Temporal Expertise for Question Routing.

Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin

CoRR, 2022

2020

Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges.

Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh

CoRR, 2020

2018

Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings.

Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Learning from Incomplete Ratings using Nonlinear Multi-layer Semi-Nonnegative Matrix Factorization.

Vaibhav Krishna, Nino Antulov-Fantulin

CoRR, 2017