Concepedia

Ravikiran Chimatapu

RC

Statistics

Publications

4

Citations

82

H-Index

4

Active since

2018

Affiliations

University of Essex(Current)

Ravikiran Chimatapu is an author at University of Essex specializing in artificial intelligence, computer science, and intelligent systems.

Top concepts

EngineeringFuzzy LogicComputer ScienceIntelligent SystemsArtificial IntelligenceData ScienceDeep LearningExplainable AiDecision-makingMachine Learning

Publications per year

2018–2020

4

Publications

4

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

Jerry M. Mendel, Ravikiran Chimatapu, Hani Hagras · IEEE Transactions on Fuzzy Systems · 2019 · 37 citations

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

Ravikiran Chimatapu, Hani Hagras, Mathias Kern et al. · 2020 · 20 citations

Artificial Intelligence, Fuzzy Systems, Machine Learning +17

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 et al. · 2018 · 15 citations

Artificial Intelligence, Engineering, Machine Learning +18

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

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey et al. · 2018 · 10 citations

Artificial Intelligence, Engineering, Fuzzy Modeling +18

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