Ravikiran Chimatapu

According to our database, Ravikiran Chimatapu authored at least 9 papers between 2018 and 2021.

Collaborative distances:

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

2021

An explainable artificial intelligence approach based on deep type-2 fuzzy logic system.

Ravikiran Chimatapu

PhD thesis, 2021

Enhanced Deep Type-2 Fuzzy Logic System For Global Interpretability.

Ravikiran Chimatapu, Hani Hagras, Mathias Kern, Gilbert Owusu

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Comparing the Performance Potentials of Singleton and Non-singleton Type-1 and Interval Type-2 Fuzzy Systems in Terms of Sculpting the State Space.

Jerry M. Mendel, Ravikiran Chimatapu, Hani Hagras

IEEE Trans. Fuzzy Syst., 2020

Hybrid Deep Learning Type-2 Fuzzy Logic Systems For Explainable AI.

Ravikiran Chimatapu, Hani Hagras, Mathias Kern, Gilbert Owusu

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2018

Explainable AI and Fuzzy Logic Systems.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018

Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the Artificial Intelligence XXXV, 2018

Interval Type-2 Fuzzy Logic Based Stacked Autoencoder Deep Neural Network For Generating Explainable AI Models in Workforce Optimization.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Big-Bang Big-Crunch Type-2 Fuzzy Logic System for Generating Interpretable Models in Workforce Optimization.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Stacked Auto Encoder Based Hybrid Genetic Algorithm for Workforce Optimization.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018