Shiladitya Chakrabarti

According to our database, Shiladitya Chakrabarti authored at least 9 papers between 2016 and 2022.

Collaborative distances:

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

2022

An integrated framework for diagnosing process faults with incomplete features.

Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade, Shiladitya Chakrabarti

Knowl. Inf. Syst., 2022

2021

Imputation-Based Ensemble Techniques for Class Imbalance Learning.

Roozbeh Razavi-Far, Maryam Farajzadeh-Zanjani, Boyu Wang, Mehrdad Saif, Shiladitya Chakrabarti

IEEE Trans. Knowl. Data Eng., 2021

2020

Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data.

Roozbeh Razavi-Far, Maryam Farajzadeh-Zanjani, Mehrdad Saif, Shiladitya Chakrabarti

IEEE Trans. Smart Grid, 2020

2019

An integrated imputation-prediction scheme for prognostics of battery data with missing observations.

Roozbeh Razavi-Far, Shiladitya Chakrabarti, Mehrdad Saif, Enrico Zio

Expert Syst. Appl., 2019

2018

Extreme Learning Machine Based Prognostics of Battery Life.

Roozbeh Razavi-Far, Shiladitya Chakrabarti, Mehrdad Saif, Enrico Zio, Vasile Palade

Int. J. Artif. Intell. Tools, 2018

2017

Multi-step parallel-strategy for estimating the remaining useful life of batteries.

Roozbeh Razavi-Far, Shiladitya Chakrabarti, Mehrdad Saif

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Multi-class heteroscedastic linear dimensionality reduction scheme for diagnosing process faults.

Shiladitya Chakrabarti, Roozbeh Razavi-Far, Mehrdad Saif, Luis Rueda

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016

Multi-step-ahead prediction techniques for Lithium-ion batteries condition prognosis.

Roozbeh Razavi-Far, Shiladitya Chakrabarti, Mehrdad Saif

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries.

Roozbeh Razavi-Far, Maryam Farajzadeh-Zanjani, Shiladitya Chakrabarti, Mehrdad Saif

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016