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Robert Helmeczi

Robert K. Helmeczi – Robert Kraig Helmeczi

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2023
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Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik:
Linear programming-based solution methods for constrained partially observable Markov decision processes. Appl. Intell. 53(19): 21743-21769 (2023)
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Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik, Davood Pirayesh Neghab:
A multi-objective constrained partially observable Markov decision process model for breast cancer screening. Oper. Res. 23(2): 30 (2023)
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Robert K. Helmeczi, Savas Yildirim, Mucahit Cevik, Sojin Lee:
Few shot learning approaches to essay scoring. Canadian AI 2023
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  - journals/corr/abs-2306-08058
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Robert Kraig Helmeczi, Mucahit Cevik, Savas Yildirim:
Few-shot learning for sentence pair classification and its applications in software engineering. CoRR abs/2306.08058 (2023)
2022
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Robert K. Helmeczi, Mucahit Cevik, Savas Yildirim:
A Prompt-based Few-shot Learning Approach to Software Conflict Detection. CASCON 2022: 101-109
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Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab:
A multi-objective constrained POMDP model for breast cancer screening. CoRR abs/2206.05370 (2022)
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  - journals/corr/abs-2206-14081
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Can Kavaklioglu, Robert Helmeczi, Mucahit Cevik:
Linear programming-based solution methods for constrained POMDPs. CoRR abs/2206.14081 (2022)
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  - journals/corr/abs-2211-02709
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Robert K. Helmeczi, Mucahit Cevik, Savas Yildirim:
A Prompt-based Few-shot Learning Approach to Software Conflict Detection. CoRR abs/2211.02709 (2022)

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