activity
20192022
most citedSelecting stock pairs for pairs trading while incorporating lead-lag relationship

20 citations · 37 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2022★ 2 cited

FL Games: A Federated Learning Framework for Distribution Shifts

Sharut Gupta, Kartik Ahuja, Mohammad Havaei +2

Federated learning aims to train predictive models for data that is distributed across clients, under the orchestration of a server. However, participating clients typically each h…

cs.LG2022

FL Games: A federated learning framework for distribution shifts

Sharut Gupta, Kartik Ahuja, Mohammad Havaei +2

Federated learning aims to train predictive models for data that is distributed across clients, under the orchestration of a server. However, participating clients typically each h…

cs.DL2022★ 3 cited

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

Qingyu Chen, Alexis Allot, Robert Leaman +35

The COVID-19 pandemic has been severely impacting global society since December 2019. Massive research has been undertaken to understand the characteristics of the virus and design…

cs.LG2022★ 11 cited

Interpretation of Black Box NLP Models: A Survey

Shivani Choudhary, Niladri Chatterjee, Subir Kumar Saha

An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare. Despite their superior performances, many models are…

cs.IR2020

Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques

Niladri Chatterjee, Neha Kaushik

Agriculture is a key component in any country's development. Domain-specific knowledge resources serve to gain insight into the domain. Existing knowledge resources such as AGROVOC…

cs.LG2020

Probabilistic Random Indexing for Continuous Event Detection

Yashank Singh, Niladri Chatterjee

The present paper explores a novel variant of Random Indexing (RI) based representations for encoding language data with a view to using them in a dynamic scenario where events are…