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Hani Hagras

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Ravikiran Chimatapu

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Publications

2021
[c156]
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  - conf/fuzzIEEE/ChimatapuHKO21
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  - https://dblp.org/rec/conf/fuzzIEEE/ChimatapuHKO21
Ravikiran Chimatapu, Hani Hagras, Mathias Kern, Gilbert Owusu:
Enhanced Deep Type-2 Fuzzy Logic System For Global Interpretability. FUZZ-IEEE 2021: 1-8
2020
[j75]
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  - journals/tfs/MendelCH20
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Jerry M. Mendel, Ravikiran Chimatapu, Hani Hagras:
Comparing the Performance Potentials of Singleton and Non-singleton Type-1 and Interval Type-2 Fuzzy Systems in Terms of Sculpting the State Space. IEEE Trans. Fuzzy Syst. 28(4): 783-794 (2020)
[c149]
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Ravikiran Chimatapu, Hani Hagras, Mathias Kern, Gilbert Owusu:
Hybrid Deep Learning Type-2 Fuzzy Logic Systems For Explainable AI. FUZZ-IEEE 2020: 1-6
2018
[c128]
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  - conf/ceec/ChimatapuHSO18
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Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu:
Stacked Auto Encoder Based Hybrid Genetic Algorithm for Workforce Optimization. CEEC 2018: 236-241
[c126]
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  - conf/fuzzIEEE/ChimatapuHSO18
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Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu:
A Big-Bang Big-Crunch Type-2 Fuzzy Logic System for Generating Interpretable Models in Workforce Optimization. FUZZ-IEEE 2018: 1-8
[c125]
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  - conf/fuzzIEEE/ChimatapuHSO18a
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Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu:
Interval Type-2 Fuzzy Logic Based Stacked Autoencoder Deep Neural Network For Generating Explainable AI Models in Workforce Optimization. FUZZ-IEEE 2018: 1-8
[c123]
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  - conf/sgai/ChimatapuHSO18
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Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu:
Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm. SGAI Conf. 2018: 63-75
[c121]
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  - conf/tpnc/ChimatapuHSO18
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Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu:
Explainable AI and Fuzzy Logic Systems. TPNC 2018: 3-20

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